the online resource selection instructional design script
TRANSCRIPT
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2010 Old City Publishing, Inc.
Published by license under the OCP Science imprint,
a member o the Old City Publishing Group
Tech., Inst., Cognition and Learning, Vol. 8, pp. 6796
Reprints available directly rom the publisher
Photocopying permitted by license only
The Olie Resore Seletio Istrtioal
Desig Sript (ORSIDS) ad Impliatios
for the Widespread Diffsio of
Learig Objets
Deborah elizabeth Cohen*
Sogang University
This article discusses a study that investigated the development o the OnlineResource Selection Instructional Design Script (ORSIDS) and its efcacy inassisting college-employed instructional designers in guiding aculty with select-
ing learning objects or their online courses. The study established the value oteaching instructional design methodology to aculty members to enable them todefne the curricular needs or learning objects or their online courses and toassist them in searching or and evaluating them. It additionally emerged romthe study that more is needed along the lines o searching inrastructure andstandardization to acilitate more reliable searches or learning objects.
Keywords: Learning objects; multimedia; metadata; instructional designers; online
learning; eLearning; instructional design; online faculty; professional development;
media selection; technology integration; metadata.
InTRODucTIOn
While eLearning is becoming prevalent in higher education, a review o the
literature suggested that aculty in higher education must learn new skills to tran-
sition into online teaching, both as course designers and instructors. Most college
aculty lack the knowledge and skills necessary to design quality online courses
(Davison-Shivers, 2002). I college aculty are expected to design online courses,
their lack o online course design skills must be remediated.
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68 Deborah elizabeth Cohen
Among these skills is the ability to implement e-learning eatures including
the use o learning objects to deliver content. There are many online educational
resources, or learning objects, that can be incorporated into online classes. While
large amounts o money have been invested in these resources, educators have
been slow to adopt them. Gosper and collaborators (Gosper, Woo, Gibbs, Hand,
Kerr, & Rich, 2004) state that lack o adoption o learning objects is caused by
inadequate educator knowledge o how to use these resources.
Colleges are increasingly hiring proessional instructional designers to work
with aculty to design and develop online course materials and to serve as change
agents, diusing technological innovations into education and acilitating changes
in how academics think about teaching and learning. Instructional designers can
acilitate the adoption o learning objects, collaborating with aculty members toselect such materials based on sound instructional design principles.
Knowledge o the instructional design process makes skilled online course
design, including media selection, possible. Media selection techniques make it
possible to knowledgeably select learning objects. Prior to the existence o online
courses, Instructional Design and Technology theorists developed criteria or
media selection; these criteria can orm a oundation or making decisions about
which learning objects should be selected or inclusion in online courses. How-
ever, as the online environment oten results in the use o multimedia, two ormore media presented simultaneously, the media selection process must be
expanded to consider new issues that arise with the use o multimedia. Essentially
multimedia selection diers rom media selection because issues o cognitive
load must be considered. Considering the instructional attributes o multimedia
and how learners cognitively integrate inormation provides a oundation upon
which to assess whether to use and how to implement learning objects in online
courses.
ORSIDS (the Online Resource Selection Instructional Design Script) is a pro-
cess script based on media selection techniques whose purpose it to acilitate the
process o online searching or learning objects. Its efcacy and process o devel-
opment will be the topic o this article. TICL has presented a number o articles
related to learning objects, with several ocusing on issues also identifed in the
process o developing ORSIDS. They include the need or:
The development o search processes that integrate the perspective o instruc-
tional designers (Friesen, 2006).
A pre-analysis o the content domain (Scandura, 2006) and
Metadata specifcations extended to better represent knowledge representation
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 69
However, ORSIDS is unique in integrating the media selection techniques
developed by leaders in the instructional design eld into a methodology or
searching or learning objects.
Overview of Study
This study (Cohen, 2005) developed and tested a process script to assist
college-employed instructional designers in guiding aculty with selecting digital
multimedia learning objects or their online courses. This process refected the
context o the online environment and the cognitive constraints associated with
multimedia.
The purpose o the study was to see whether the proposed solution, the Online
Resource Selection Instructional Design Script (ORSIDS), could satisactorilyaddress three problems, one overarching problem and problems with two solu-
tions put in place to mend the rst:
The overarching problem: a lack o online pedagogical skills possessed by
online aculty.
The two sub-problems:
The less than eective deployment o the college-employed instructional
designers increasingly being hired by colleges and universities to workwith online aculty.
The lack o educator adoption o online resources, particularly the learning
objects and learning object repositories into which numerous organizations
world wide have poured substantial nancial resources.
The study investigated the ollowing research questions.
What steps are necessary to develop a process script that will help instruc-1.
tional designers guide online aculty in selecting online resources or their
online classes?
What criteria set must that script satisy in order to be considered successul?2.
What will be the best ormat and composition to enable the script to meet the3.
specied criteria?
How can a set o criteria candidates be established?4.
How can the criteria set be validated?5.
The script was based upon the oundation o the research ndings on mediaselection rom the eld o Instructional Design and Technology (Clark, 1999;
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70 Deborah elizabeth Cohen
& Anderson, 1992; and Romiszowski, 1988). As multimedia selection makes it
necessary to consider issues related to cognitive load (Samaras, Giouvanakis,
Bousiou, & Tarabanis, 2004), the script was additionally based upon fndings by
Mayer and colleagues (Clark & Mayer, 2003) related to cognitive load.
This study (Cohen, 2005) was based on the ollowing premises:
When learning objects are comprised o multimedia, they can be thought o
and treated in a similar way
Multimedia share the attributes o media, but since multimedia consists o two or
more media, there is the need to consider constraints related to cognitive load
By leading online aculty members through a process based on instructional
design methodology, these aculty members can be prompted to identiy theircurricular needs or learning objects
A cognitive tool, or script, can be developed to assist instructional designers in
implementing this process
Abbreviated Review of Literature
Learning Objects
Many educational resources exist online. Online instructors can incorporatethem into their classes or use with a wide range o teaching activities. Such
online resources include digital materials displayed on websites such as the PBS
site accompanying the Ken Burns jazz series (http:www.pbs.org/jazz/lounge/) to
more structured environments and data stores including managed and virtual
learning environments and digital libraries as well as inormation gateways and
portals (Conole, 2002). OER Commons (http://www.oercommons.org/) is an
online open learning network where educators can share and access colleagues
course materials, evaluating them through Web 2.0 eatures including metatags,
reviews, and social networking. The Multimedia Educational Resources or Lear-
ning and On-Line Teaching (MERLOT) (http:www.merlot.org/help/FAQ.po) is a
national gateway to web-based peer-reviewed learning materials and a successul
demonstration project (Johnson, 2003). Learning object repositories are another
example o online searchable collections o digital educational resources that are
available online (Boyle, 2002).
Learning objects have several defnitions. The IEEE defnition developed dur-
ing the standardization process (IEEE, cited in Conole, 2002, p. 5) was a learn-
ing object is any entity, digital or non-digital, which can be used, re-used andreerenced during technology-supported teaching. The most common defnition
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 71
materials pictures, documents, simulations coupled with a clear or measurable
learning objective or designed to support a learning process.
While quality online resources can add a great deal to an online course, they
are expensive and time consuming to produce. Designing such materials is out-
side o the scope o what most individual instructors can reasonably be expected
to do as part o their routine workload.
To acilitate the development and sharing o such resources, governments
around the world have spent large sums o money on initiatives to develop learn-
ing objects, methods through which to fle and search them (metadata), and online
repositories in which to store them (Friesen, 2004). However, there has been a
general lack o adoption o learning objects and repositories or them.
Gosper et al. (2004) fnds that a major reason or the reluctance o educa-tors to share and reuse these objects is a lack o understanding o how such
objects can apply to the learning outcomes they plan to achieve. Additionally
methods through which to customize the objects and the applicable copyrights
are hard to understand. Friesen (2004) compares educator resistance to learning
objects with other technology-originated innovations introduced into educa-
tional settings. He writes that the problem with such innovations resulted rom
the act that such innovations are introduced bearing the stamp o their tech-
nical origins rather than in terms meaningul to educators. Yet when educatorsappear to resist such innovations, they are blamed or not readily adapting to
them. Friesen cites Rogers (1962) who fnds that the rate o adoption o innova-
tions by educators increased signifcantly when the innovations display sim-
plicity, compatibility with the practices o the environment, and apparent
advantages as compared with business as usual. Thus the provision o learn-
ing objects and related inrastructure alone will not lead to their adoption (Gos-
per et al., 2004). A bridge needs to be created enabling educators to understand
their use.
Johnson (2003) fnds that an enabler o educational learning object use
includes learning design, or the theories and techniques o teaching and learning
that ensure successul learning outcomes. The fnding is that while such a body o
knowledge exists and is sufcient, it is not widely understood. To make the cir-
cumstances surrounding the use o learning objects and other online educational
resources more avorable or adoption, such knowledge must be disseminated.
Instructional designers are perectly situated to disseminate this inormation.
Knowledgeable about learning theory and in the use o technology, skilled com-
municators who are amiliar with the needs o educators and the higher educationcontext, the instructional designer is well equipped to serve as a bridge between
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72 Deborah elizabeth Cohen
Instructional Designers
Because the design and development o online courses and environments
requires considerable skill and knowledgeable planning, instructional designers
are increasingly being hired to work in colleges and universities (Pan, Deets,
Phillips & Cornell, 2003). The instructional designer unction in higher education
is two-old: instructional designers (1) design and develop online course materi-
als and (2) acilitate changes in how academics think about teaching and learning
(Torrisi-Steele & Davis, 2000). (While instructional designers work in many set-
tings, the discussion will be limited here, due to space limitations, to instructional
designers employed in higher education.)
The instructional designer translates the needs o the aculty member into a
plan to produce a product to meet that clients needs (Liu, Gibby, Quiros &Demps, 2002). The instructional designer guides the client through the design
process, eliciting needed inormation and providing the necessary inormation to
the client to enable him or her to make the correct design decisions. Instructional
designers are essentially problem solvers who invent solutions as a routine part o
their work (Schwier, Campbell & Kenny, 2004). Because the instructional
designer has knowledge o both technology and educational needs, his or her
communication skills make it possible to serve as a bridge between technological
innovations and the educator (Liu, Gibby, Quiros, Demps, 2002).The main goal o the instructional designer is to select, sequence, and synthe-
size content or instructional purposes and develop a desired product without, in
most cases, previous content expertise (Keppell, 2001). The instructional designer
role o higher education change agent is also an important one (Schwier, Camp-
bell & Kenny, 2004). Essentially, the instructional designer acilitates innovation
in colleges and universities through taking an active role in the proessional devel-
opment o teaching sta, enabling them to develop skills to produce online
courses and to teach online (Torrisi-Steele & Davis, 2000). This instructional
designer role can include introducing aculty to online learning objects.
Instructional Design Scripts
While scripts are rarely discussed in the instructional design literature, in
practice most instructional designers rely upon them to do their jobs. Keppel
(2004) fnds that since instructional designers almost always work in unamiliar
content areas, they rely upon experts and utilize a design model consisting o a set
o representations and generic strategies to accomplish their goals. These goals
include eliciting needed inormation rom the aculty subject matter expert andguiding the aculty member in the design process. The scripts inherent in such a
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subject matter expert. Such scripts provide a shortcut or the instructional
designer in his or her work, making it possible to accomplish goals while using
less o the subject matter experts time.
The relationship between instructional designer and subject matter expert
aculty member is collaborative as they assist each other in what Keppell (2004)
defnes as an elicitation/conceptualization process that meets their mutual
goals. Keppell (2001) fnds that instructional design models lack the conceptual-
ization elicitation script needed by instructional designers to conceptualize the
unamiliar material presented by subject matter experts. As the development pro-
cess or higher education courses containing new media can be even more com-
plex than traditional courses (Liu, Gibby, Quiros, & Demps, 2002), the need or
such scripts becomes even greater.The purpose o the script developed in this study was to serve as a job aid to
support the consulting and conceptualization/elicitation process between the
instructional designer and online aculty member in the area o the selection o
learning objects. This study was based on the hypothesis that a script to guide
aculty members with the media selection process required to select learning
objects would greatly aid the instructional designer in his or her role o change
agent (Schwier, Campbell & Kenny, 2004) diusing the innovation o learning
objects and other online resources (Friesen, 2004).Select methods, media and materials is the third step o the ASSURE
model (Smaldino et al., 2005, p. 59). Included in this step is an appraisal checklist
o selection criteria or each media type that begins with the question: does it
match the curriculum? The goal o this study was to develop a script, a job aid,
to direct a consulting session to answer this question. A process - and script based
on the process - were created or the instructional designer to guide the online
aculty member in fnding learning objects and to then determine whether they
were appropriate or the curriculum. Determining whether or not a resource is
appropriate or the curriculum is based on the knowledge o instructional attri-
butes o various media and how they link to dierent learning outcome types.
This knowledge was derived rom the literature on media selection models, which
have had an important place in the feld o Instructional Design and Technology
(Richey & Nelson, 1996).
Media and Multimedia
Online educational resources are comprised o media and multimedia. A
medium is a channel o communication that carries inormation between a source,such as a computer, and a receiver, such as a learner (Smaldino, Russell, Heinich,
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74 Deborah elizabeth Cohen
and graphics; video such as ull motion video, time lapse, and montage; and
audio, such as music, sound eects, and narration. Media are considered instruc-
tional media when they carry messages with an instructional purpose.
This article reers to both media and multimedia. The distinction is as ollows:
the term media is used when a single communication channel (such as a graphic) is
being reerred to; the term multimedia is used when a combination o two or more
such channels, such as a graphic combined with narration, is being discussed.
Media and multimedia can make a major curricular contribution. The ability
o media to represent real objects can be o great educational value. Media allow
designers to communicate about objects, representations, and ideas about reality
that would not otherwise be possible. The representational eatures o media are
useul when communicating about:
A procedure that is too risky to undergo in class
An object that is not easily accessible (such as a planet, a oreign artiact, a
rare song, or microscopic organism)
A process too lengthy to accomplish in a semesters time
A subject about which it is too hard to do the necessary experimentation to
obtain needed evidence (Djikstra, Jonassen, & Sembill, 2001).
With the use o media, the designer can create a learning environment
enabling the student to actively consult a constructed reality and potentially oper-
ate upon it (Djikstra, 2001).
A number o researchers emphasize the importance o dealing with media as
types, that is, or the attributes they provide and the learning strategies that they
can implement (Smith & Ragan, 1999). A media attribute is the potential o a
given medium to present inormation o a certain kind. It can acilitate learning
or specifc outcomes and certain kinds o learners. For example, to present a
song, a medium that provides the ability to play a song is necessary. Audio is the
logical medium to accomplish such a unction. Thinking about media in terms o
how their unctions contribute to teaching and learning, or their instructional
attributes, makes it possible to select learning objects that will result in maximum
learning eectiveness. Researchers have also investigated how the attributes o a
medium can support the individual cognitive processes needed or specifc learn-
ing tasks (Smith & Ragan, 1999).
There is more potential or the use o multimedia in the online environment
than in previous educational settings. Because the online environment o todayhas the capacity to deliver multimedia, a systematic approach to providing guid-
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Researchers who deal with cognitive load issues state that learning can actually
be depressed by the use o e-learnings technological capabilities to simultane-
ously deliver text, audio and video i designed unskillully (Clark & Mayer, 2003;
Samaras, Giouvanakis, Bousiou and Tarabanis, 2004). Poorly designed multime-
dia can place too much o a processing burden on the learner, interering with the
learning process (Sweller & Cooper, 1985).
Cognitive Learning Theory
Cognitive learning theory is learning theory infuenced by cognitive psychol-
ogy, which ocuses upon how people perceive, learn, remember and think about
inormation. An important eature o cognitive learning theory is the concept o
cognitive load(Samaras et al., 2004). Cognitive load is the amount o cognitiveprocessing that a particular task requires o a learner (Foshay, Silber & Stilnicki,
2003), or in other words, the amount o mental resource required by a task (Clark
& Mayer, 2003). Cognitive load theory assumes that human memory has two
channels or processing inormation visual and auditory and each channel has
a limited capacity or processing inormation (Mousavi, Low & Sweller, 1995).
Since multimedia provides input to both the visual and auditory channels, it is
important to limit the amounts o input to each channel so neither channel
becomes overloaded. For example, it is helpul to accompany visuals with audionarrative rather than text to describe visuals and present content. This splits the
input between the audio and visual channels. When learners must use the visual
channel to simultaneously process the graphics and the printed words that reer to
them, this concentrates the input in the visual channel and may strain cognitive
resources. Too much visual input can be particularly dicult or learners when
presented at the same time and at a rapid pace (Clark & Mayer, 2003). Cognitive
load is a primary issue to consider in the assessment o online multimedia learn-
ing objects (Cohen, 2004). In analyzing such a learning object, an assessment
should be made o whether cognitive load issues have been considered in its
design and whether its cognitive processing demands seem prohibitive.
Method Overview
Development methodology was used in the study to create the Online Resource
Selection Instructional Design Script, ORSIDS. The Pre-Design Phase consisted
o the review o literature and other inormation gathering. Establishing ormative
and summative review committees also occurred in this phase. TheDesign Phase
consisted o requirements development and validation to speciy the ideal compo-sition o ORSIDS. In this phase, members o an Expert Panel validated the candi-
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76 Deborah elizabeth Cohen
review o literature. To do this, the Expert Panel participated in a series o meet-
ings using a customized Nominal Group Technique (NGT) process, the Proposal
Review process (Delbecq, Van de Ven. & Gustason, 1975). The Proposal Review
Process is recommended or planning situations and specifcally proposal review;
it is directed toward identiying the strengths and weaknesses o proposed solu-
tions and provides a vehicle to introduce modifcations to improve them.
Ater requirements development and validation, a detailed outline was cre-
ated. From the detailed outline, an alpha version o the process script was designed
in theDevelopment Phase.
In theDevelopment Phase, ORSIDS was developed and then refned through
iterative cycles o developmental and ormative evaluation. There were our tests
in all. Field testing was conducted by the researcher with two online instructors.Next, two instructional designers were trained to deliver the script in the pilot
study. A pilot study using the nonparticipant, naturalistic observation method (Gay
& Airasian, 2000) ollowed. The researcher observed and collected data as two
instructional designers delivered the script to one online aculty member each. The
researcher repeatedly improved ORSIDS based upon the session results ater
debriefng with the instructional designers. The script was revised fve times: once
ater each test, and once to incorporate eedback ater the initial Instructional
Designer Training. At the end o the testing, the researcher completed a fnal drato ORSIDS and prepared an Observation Report and questionnaire or summative
evaluation by the Expert Panel. Product evaluation occurred though summative
evaluation by the Expert Panel who validated the original requirements.
Study Results/Finding
This was a developmental study to create and test a process script (ORSIDS)
to orchestrate an instructional designer/aculty member consulting session, whose
goal was to search or and evaluate a useul learning object. The study yielded
many interesting results related not only to the research questions delineated at the
beginning o this article but to broader issues o the relatively new feld o learning
object search as well. The fndings will be presented here by study phase.
Pre-Design phase
Data rom the Pre-Design phase resulted rom a literature review and an
expert interview. The deliverables rom this phase included the requirements can-
didates or a process script or online resource selection and some o the content
needed or the product. Testing would ultimately fnd that the process discoveredin this phase based on the media selection literature was eective or the selection
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based on media selection theory, proved less eective due to inadequate inra-
structure or educational learning object search.)
The literature review was quite extensive and provided much o value. The
literature review contributed to the study in a number o major ways. It provided
guidance or the development o the process and specically the instructional
design steps to include. The media selection literature (Briggs & Wager, 1981;
Kemp, 1980; Reiser & Gagne, 1983; Reynolds & Anderson, 1992; Romiszowski,
1988; and Smaldino, Russell, Heinich & Molenda, 2005) was an important infu-
ence. Media selection models are based on sound instructional design principles
and delineate simple, systematic processes or making media selection decisions.
The ORSIDS candidate requirements refected many elements o the media selec-
tion literature.The review o literature also provided an understanding o the most construc-
tive ways with which to think about the design and use o multimedia and the role
o instructional message design. The work o several authors (Djikstra, Jonassen,
& Sembill, 2001; Jonassen, 2001; Kozma, 2001b; and Rouet, Levonen &
Biardeau, 2001) made major contributions to the approach towards multimedia
used in this study and the understanding o multimedia uses underpinning several
candidate requirements. Mayer (1999) wrote o empirically valid scientic stud-
ies that proved the relationship between the design o instructional messages andhow people do or dont learn rom them. Mayers work on instructional message
design was an important philosophical underpinning o this study and underlay
several candidate requirements. Additionally an Expert Interview with Steven
Smith (personal communication, October 6, 2004) contributed an online search-
ing technique that ormed the oundation or one o the candidate requirements.
Design Phase
Requirements Validation. This developmental study was to result in two deliv-
erables: (1) a script, ORSIDS, based upon (2) a process or an ideal instructional
designer/aculty member consulting session. The requirements were divided into
Process Inputs, Process Steps, Process Outputs, Format (o the script), Reerence
Materials (in the script) and Eciency/Cost o Using ORSIDS. The Expert Panel
introduced several modications consisting o amplication and added specicity
to the requirements candidates related to the context in which the process would
actually be used. There was discussion related to instructional design methodol-
ogy and the order in which some o the process steps should take place. The panel
also recommended the inclusion o instructional message design guidelines romFleming and Levie (1993) in addition to those rom Mayer (1999). See Table 1 or
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78 Deborah elizabeth Cohen
Development Phase
The development phase consisted o creating a topic outline or the script based
upon the above validated requirements and rom there developing a script drat based
upon the topic outline. The script was essentially a job aid or an instructional
designer. Its purpose was to delineate a consulting session between an instructional
designer and aculty member that would ideally result in an appropriate course learn-
ing object. The steps to take place in the consulting session (which correspond to
Requirements 4 21 o the Validated Requirements in Table 1) appear in Table 2.
TABLE 1
Validated Requirements or ORSIDS.
Inputs to Process
Requirements #1 3 Analysis o learners, a statement o each learning outcome,context
Steps in the Process Script
Learning Outcome Analysis Steps
Requirements #4 6 Decide which learning outcome(s) (or portions o a learningoutcome) should be ulflled with an online resource, taskanalysis, choose learning outcome category
Research and Gather OnlineResources Steps
Requirements #7 10 Choose an instructional method, Lecture/demonstration o multimedia ormats, choose a media ormat, survey onlinelearning resources/learning objects.
Learning Resource Evaluation Steps
Requirement #11 Can the learning object ulfll the learning outcome task analysis requirements?
Requirement #12 Appropriate instructional and physical attributes?
Requirement #13 Accepts student input in a manner that appropriately dem-
onstrates his or her knowledge?
Requirement #14 Appropriate or the learner?
Requirement #15 Credible?.
Requirement #16 Longevity as a link on the web?
Requirement #17 Acceptable amount o cognitive load?
Requirement #18 Compatible with Mayers as well as Fleming and Leviesprinciples or instructional message design?
Requirement #19 Compatible with fndings related to media and multimediaattributes?
Requirement #20 Aordable?Requirement #21 Has the need to accommodate various learning styles been
acknowledged with selection o the learning object that will
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 79
TABLE 2
ORSIDS Steps.
Step
1 Help the aculty member to determine which learning outcomes are good candidates or
ulfllment with online learning objects
2 Guide the aculty member in doing a task analysis or the specifed learning outcome.
3 Help the aculty member to determine the learning outcome category to which the specifed
learning outcome belongs.
4 Help the aculty member to determine which instructional methods may be appropriate or
the learning outcome.
5 Help the aculty member to ocus on the instructional and physical media attributes needed
by the online learning object to choose some potential media ormats.
6 Provide a small lecture/demonstration o various multimedia ormats and methods and their
uses.
7 Search together or online learning objects and provide search tips to the aculty memberenabling him or her to continue to search independently.
8 Evaluate one or possibly two learning objects or possible use
Inputs to Proess
Outputs of the Proess SriptRequirement #22 One or more appropriate online learning objects or each
selected learning outcome or utilization in the online course
Proess Sript Format
Requirement #23 The script will consist o text on paper and will include adecision tree. It will be supplemented by demonstrations onthe computer or the aculty member by the instructionaldesigner.
Requirement #24 It can be copied and used or each new instructional designer/ online aculty member online resource selection interaction.
Requirement #25 It will consist o directions in the second person or theinstructional designer, an actual script to be delivered verba-tim or improvised orm by the instructional designer, work-sheets to be flled in and some reerence materials.
Requirement #26 The process script will be clear, simple, intuitive, easilynavigatable, and usable
Referene Materials Inluded
with the Sript
Requirements #27 32 Searching Tips, A Cognitive Load and Instructional Mes-sage Design Job Aid, Multimedia Attribute Heuristic Guide,Learning Outcome Categories, Defnition o Instructional
Methods, Explanation o Task Analysis
TABLE 1. continued
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80 Deborah elizabeth Cohen
Subsequent refned drats were developed based upon the results o testing.
Figure 1 shows the frst two pages o the fnal version o ORSIDS.
The purpose o the our testing sessions was twoold: (1) to test the usability
o the script and to allow or refnements based upon the test results and (2) to
test the efcacy o the underlying media selection process upon which the script
was based.
ScRIPT
Interaction keywords What is Said
Introdue the Meeting Agenda Instrutional Designer (ID): Thank you orcoming today. We have a lot o ground to cover
in our meeting in order to fnd and make
wise discriminations among online learning
resources. We will do the ollowing things.
Determine i learning outcome is a good
candidate
First well determine which o your learning
outcomes are good candidates or ulfllment
with online learning resources. Well choose
only one or two to work with and ocus on one
at a time.
Do task analysis Then well do a task analysis or the specifedlearning outcome(s).
Determine learning outcome categories Then Ill teach you about learning outcome cat-
egories and well decide which category the
learning outcome belongs to.
Assign instructional methods Next Ill introduce you to instructional methods
so we can determine which methods are appro-
priate or the learning outcome.
Analyze media attributes Next well learn about media ormats and the
instructional and physical attributes that they
provide. Then well think about the attributes
needed to ulfll your learning outcome so that
we can look or them in an online learning
resource
Multimedia demo Then Ill provide a small lecture/demonstration
on the computer o various multimedia ormats,
methods and their uses.
Search or resources Then we will search together or online resources
or one o your learning outcomes.
Evaluate resources Finally well choose one or two resources to
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 81
Researcher-Conducted Field Tests
The researcher conducted the rst two eld tests to iron out the major
kinks in the script ormat beore handing it o or use by instructional designer
test subjects. Many ormat problems in the script were discovered as a result o
these tests. However, the researcher was able to deliver eective consulting ses-
sions despite faws in the Script ormat because o an intimate knowledge o the
underlying media selection process. The rst eld test was conducted by theresearcher with a aculty member inexperienced with online teaching and
Step 1: Determine which learning outcomes
are good candidates or ulllment with online
learning resources.
Goal: Determine is learning outcome a good
candidate?
ID: Our rst step is to determine whether one or
more learning resources is needed, and i so
what kind. Are there one or more o your learn-
ing outcomes that you would like to ulllthrough use o an online learning resource
because you believe it is needed to get your edu-
cational point across?
1A) Faculty member (FM): Yes (decisively).
Faculty member (FM) gives good pedagogical
answer (IA). Go to Step 2.
ID: Which learning outcome(s) and why?
The aculty member gives an answer that makes
pedagogical sense. Go to Step 2.
OR
1B) FM: Yes (indecisively).
Otherwise (IB, C, or D) OR
1C) FM: Maybe (indecisively).
OR
1D) FM: No.
Ask questions to decide. Stop when you get an
answer that makes sense, and go to Step 2.
Do you need to teach about a topic that is impos-
sible to depict through mere text on a computer
screen?
ID: Is prociency in a skill or recall o many
acts needed?
Does time need to be compressed in the content
that you are presenting (or example, are you
trying to teach about the growth and develop-
ment o living things?)
FIGURE 1
ORSIDS Script Sample.
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82 Deborah elizabeth Cohen
ered a technology-based course via video conerence. The session was success-
ul in that as a result o the process, the aculty member generated numerous new
ideas or the integration o learning objects into her course. Additionally the ses-
sion resulted in the identication o several good learning objects, ideas or strat-
egies with which to implement them, and additional URLs to search or more
resources. At the end o the meeting, the subject voiced that she now elt con-
dent about searching or and integrating learning objects where in the past she
had not used them because searching took so long and the results were disap-
pointing.
The process was successul in eliciting new insights rom the aculty mem-
ber about how technology could be used to enhance her class. These aculty
member insights can be classied as learner invention; they can be classied asthe synthesis category o human thinking skills in Blooms taxonomy (1956).
During the session, particularly during the discussion o methods, the aculty
member spontaneously came up with a number o ideas or learning objects that
would enhance her curriculum. By the time the methods step o the script had
been reached, the aculty member began to refect on what she does now in the
ace-to-ace situation and how technology-based resources could add to it. Some
o the learning objects she conceptualized and hoped to nd were actually dis-
covered during the search process. Additionally, it became apparent that one othe resources shown in the demo, the Virtual Piano http://www.pbs.org/jazz/
lounge/lab_virtual_piano.htm, was very eective at conveying potential cogni-
tive load problems. The subject viewed it and discussed experiences she had had
with technology-based resources in the past that were problematic in terms o
cognitive load.
The second eld test was conducted with a aculty member experienced with
online teaching as well as instructional design concepts including media selec-
tion, but unamiliar with media selection or the online environment. Despite the
act that this aculty member was experienced with instructional design and media
selection, this process caused him to dene his learning objectives much more
explicitly and in general to think more deeply about his curriculum.
Much o the search step was generated as a result o the researchers inde-
pendent judgment augmenting what was in the script. The searching process was
more dicult this time than it had been in the rst eld test. Appropriate repos-
itories or searching were not as readily apparent. The researcher and aculty
member did quite a bit o brainstorming to identiy potentially ertile search
terms, search engines, and repositories. Resources were discovered that the ac-ulty member could make use o in his online class. During the session, the ac-
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 83
ulty member came up with an idea or the ideal learning object to ulll his
learning objective, but this resource was not ound online through the searching
process.
The researcher pointed out that since the Faculty Members home institution
has development unds, such a resource could potentially be developed. This idea
was appealing to the Faculty Member.
In the process o using the script to work with the Faculty Member,
the researcher ound that many decisions needed to be tracked. This led to the
decision to develop a orm on which the various decisions arrived at in the
testing session could be recorded, the ORSIDS Decision Tracking Form (see
Figure 2).
The major ndings rom this session included the value o the instructionaldesign consultation even or aculty amiliar with instructional design methodol-
ogy. The individualistic and improvisatory nature o the searching that resulted
rom a lack o standard inrastructure (and a more loosely guided portion o the
script see Figure 3) was another major nding rom this test session.
Instructional-Designer Delivered Pilot Testing
Next two instructional designers were trained on the use o the script and
delivered it to one aculty member each. Both testing sessions resulted in positiveoutcomes in relation to the three problems within the scope o the study. Instruc-
tional designers were provided with a process that not only allowed them to
achieve some success in teaching instructional design methodology but also to
assist educators in adopting learning objects in a short period o time. Each test-
ing session resulted in one or more learning objects that were useul to the aculty
member.
Faculty increased their knowledge and condence, and in some cases shited
rom lukewarm attitudes to much more positive, in relation to online pedagogy
and their ability to adopt and evaluate online learning objects. But every testing
session also included a number o process execution errors on the part o the
instructional designer testing subjects that could be attributed to faws in the
design or ormatting o the ORSIDS process and script and/or lack o instruc-
tional designer content knowledge indicating that the instructional designer train-
ing was not entirely successul.
Following is a summary o the ndings rom each o the test consultations.
The researcher evaluated each session on the basis o elements o the Instruc-
tional Designer delivery o the script and the response o the learner. Priorto assessing the overall quality o the session and making recommendations or
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84 Deborah elizabeth Cohen
FIGURE 2
ORSIDS Decision Tracking Form
Validated Learning Outome to be Fulflled with Online Resoures
Analyze Learning Outomes Fulfllment Requirements
Tasks or subtasks that need ulfllment with online learning resoures
Determine Learning Outome categories (chek all that Apply)
Motor skills Attitudes cognitive Strategies Verbal
Intelletual Skills
Proedures Priniples conepts (Abstrat or conrete)
Assign Instrutional Methods (chek all that Apply)
Drill and Pratie Eduational game Simulation
Problem Solving Disovery Learning
Presentation Demonstration Dialogi
Analyze Possible Media
Text Audio Animation Video Photos
Drawings Graphis Diagrams Audio with visualsText with visuals Audio with visuals and text
For eah task or subtask, answer the ollowing questions related to needed media attributes:
1. What instrutional attributes are needed? 2. Physial attributes? 3. How must student
input be aepted?
Task
Task
Task
Searh or Resoure candidates
Resoures that Passed Evaluation
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orSiDS anD impliCationSfortheWiDeSpreaD DiffuSionof learning objeCtS 85
Interaction keywords What is Said
Step 7. Search together or online
resources.
Goal: To fnd one or two appropriate
online resources to partially or completely
ulfll a learning outcome.
Defne search questions and search terms.
ID: Now well search with the goal o fnding one or two
resources that will partially or completely ulfll one o your
learning outcomes (suggests some search terms and asks i
the FM agrees.)
(You may want to think urther about synonyms or the con-
cepts that you have identifed and how you might narrow or
broaden the topic. Use Rogets Thesaurus http://humani-
ties.uchicago.edu/orgs/ARTFL/orms_unrest/ROGET.html
i needed.)
Repository URLs are:
http://www.merlot.org/Home.po
http://www.academicinfo.net/digital.
html
http://www.learner.org/amerpass/
slideshow/archive_search.php
http://www.loc.gov/
ID: Here are some examples o some repositories that are
useul or fnding academic online resources. They include
Merlot, Academic Ino, American Passages, Library o
Congress, and Google Images.
Spend around an hour.
Keep track o the resources with book-
marks or by pasting them into an email.
Also record the URLs on the TrackingForm.
ID: (fgures out with FM which URLs or search engines to use
to try and fnd learning objects and online resources. Then
search until you fnd one or more promising resources in one
o the ollowing repositories.)
the previously discussed Merlot http://www.merlot.org/Home.po that contains many peer-reviewed learn-
ing resources that have been developed and contrib-
uted by other instructors.
the digital library collection at Academic Info
http://www.academicino.net/digital.html
American Passages: A Literary Survey (Annenberg/
CPB)
http://www.learner.org/amerpass/slideshow/archive_
search.php
or various images, sound clips, text, and primary sources
related to history and American literature or Library of Congress
http://www.loc.gov/
or visual, audio and textual artiacts rom the Library
o Congress Collection and links to digital collections
around the world.
GOOGLE.COM and specically the image search
(advanced option) in GOOGLE images (http://www.
google.com/)
(I absolutely no useul resources can be ound, a good case
can be made or requesting limited development dollars i
they are available.)
FIGURE 3
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86 Deborah elizabeth Cohen
revisions to the script, the researcher evaluated each step o the ORSIDS process
as administered by the Instructional Designer:
Introdution: Both Instructional Designer Subjects executed this step skill-
ully. Both improvised rom the script and did not use it verbatim.
Step 1: Whih learning outomes are good andidates? Instructional
Designer Subject 1 was able to execute this step skillully. She delivered the
inormation clearly and was able to clariy misunderstandings. The Faculty
Member learner appeared to be stimulated by the interaction and spontane-
ously arrived at a new technology-based curriculum idea.
Instructional Designer Subject 2 executed this step less skillully. While she
asked the scripted questions or this step, she did not demonstrate the skillnecessary to connect the scripted questions with the Faculty Members candi-
date learning outcomes.
Step 2: Guide the task analysis The script did not enable either Instruc-
tional Designer Subject to execute this step skillully. Instructional Designer
Subject 1 skipped this step. In the Cognitive Walkthrough she revealed that she
thought that this step had already been done and had questions about the mean-
ing o the terms instructional attributes and physical attributes. In the ses-
sion acilitated by Instructional Designer Subject 2, the task analysis strayedrom the learning outcome under consideration. While this process helped the
Faculty Member working with Instructional Designer Subject 2 to generate
additional ideas, it did not ulfll the purpose o the step in terms o thoroughly
exploring the given learning outcome.
Step 3: choose learning outome ategory Both Instructional Designer
Subjects successully achieved the goal o this step to varying degrees. Instruc-
tional Designer Subject 1 executed the step as scripted. The Instructional
Designer was successul in guiding the Faculty Member through the process
o choosing the learning outcome category, and the Faculty Member did the
task correctly and appeared interested and engaged. Instructional Designer
Subject 2 departed rom the script and did not explain all o the learning out-
come types; however, the Faculty Member she worked with did successully
identiy the attitudes and verbal categories that applied to her learning
outcome. Some o the script terminology including cognitive strategy
and abstract vs. concrete concepts was conusing to both Instructional
Designers.
Step 4: choose instrutional methods Instructional Designer Subject 1executed this step skillully. She accurately delivered the script and addition-
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 87
In this session, the Faculty Member expressed some creative curriculum ideas.
Instructional Designer Subject 2 did not execute this step as skillully. She
omitted much o the script content or this step. In the cognitive walkthrough
she explained that the reason or the omissions was because she thought that
the Faculty Member Subject was already amiliar with the material.
Step 5: Select potential media formats Instructional Designer Subject 1
skillully contextualized and provided transitions in this part o the script. The
Faculty Member that she worked with had a number o creative curriculum
ideas. This step required the use o a Multimedia Heuristic provided in the
script, which proved difcult or both instructional designers to use. Instruc-
tional Designer Subject 1 attempted to cover everything in the Heuristic rather
than limiting the discussion to the portions relevant to the educators curricularneeds. Instructional Designer Subject 2 asked the Faculty Member whether
she thought selected media types might be useul or her purposes without
connecting the media in the Heuristic to the methods identifed in the previous
step. This discussion did prove eective in causing this Faculty Member to
discuss some potentially useul media assets.
Step 6: Provide a lecture/demonstration Instructional Designer Subject 1
skillully conducted the demo overall. The Instructional Designer and the Fac-
ulty Member seemed to really enjoy their interaction, and the Faculty Memberarticulated some good ideas or curriculum in response. Instructional Designer
Subject 1 appeared to fnd one section o the demo conusing. Instructional
Designer Subject 2 did not deliver the demo as scripted and omitted parts o
the demo that were necessary to illustrate critical concepts. In the cognitive
walkthrough, she stated that she omitted these sections because she thought
that the content might be too juvenile or the Faculty Member. The Faculty
Member that she was working with brought up some o her concerns including
issues related to aective learning and the importance o teaching students to
process visual material.
Discuss cognitive load and message design issues This discussion met
with resistance rom one o the educators when it was previously presented
during the Evaluation step. The researcher conjectured that i this discussion
were moved earlier in the session, perhaps it would be more easily accepted.
The discussion proved to be out o place there. Instructional Designer Subject
1 discussed it in relation to the wrong application, and Instructional Designer
Subject 2 skipped the step because there was a technical problem with show-
ing the application that exemplifed the concept.Step 7: Search Both Instructional Designer Subjects conducted their
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88 Deborah elizabeth Cohen
lack o clear direction in the script. Neither ollowed all o the directives o the
script, but both were successul in helping the Faculty Member to nd one or
more useul online resources and to create plans or urther ruitul searching.
Instructional Designer Subject 2 bypassed many o the listed repositories and
omitted the use o the suggested keywords to look or specic media-related
resources. She also omitted a critical step, that o keeping a list o the discov-
ered online resources to give to the Faculty Member. She did, however, com-
pensate or the earlier fawed execution o the task analysis step with a
discussion that she guided here.
The searching o Instructional Designer Subject 1 refected the act that she
had not been suciently prepared in the training with inormation about the
use o online learning objects. This subject demonstrated a lack o knowledgeabout how to use learning objects (or example, that a source did not have to
standalone completely but could be scaolded with explanatory textual mate-
rial developed by a aculty member). This lack o knowledge caused her to
discount the value o useul resources that her team did nd. She also did not
integrate the Faculty Members earlier creative ideas into the search process
that she guided. This subject did, however, demonstrate the ability to meet
some o the goals o this step. In addition to nding several resources, this
dyad came up with a plan or urther searching.Intro to evaluation and evaluation steps Since Instructional Designer
Subject 1 was dissatised with the learning objects that she and the Faculty
Member did discover, she led the Faculty Member in a process to evaluate
imaginary online resources that would be discovered i their searching
plan was successul. Instructional Designer Subject 2 made several errors as
she led the aculty subject through the evaluation steps. Instructional Designer
Subject 2 did not initially lead the task analysis as delineated in the script but
compensated by doing the needed steps intuitively prior to embarking upon
the searching process. Both Instructional Designer Subjects had questions
about the meaning o the term instructional and physical attributes.
Post Pilot Test Learner Validation
Ater each pilot testing session, the researcher and Instructional Designer
debrieed the session. In the debriengs with the Instructional Designers that ol-
lowed the testing sessions, they expressed positive attitudes towards the process
but reported problems with the usability, ormat and content o the script, as well
as the lack o standardized inrastructure in which their searches took place. Bothagreed that the script made it ar easier to teach instructional design skills and to
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 89
own. Instructional Designer Subject 1 stated that the application is a great tool
with many applications that is hugely practical, provides a straightorward pro-
cess, and equalizes the playing eld between instructional designers with a lot o
knowledge and those without it. However, she elt the need or more at-a-glance
support in terms o the ormat o the script. She suggested eliminating text in the
script and replacing it with keywords where possible. Instructional Designer Sub-
ject 1 also elt that the Search step would be improved with the inclusion o more
repositories. She also stated that some o the language was too sophisticated and
that sentences were too long. She recommended that the Multimedia Heuristic
be retitled Learning Media Matrix. Both subjects recommended that the terms
instructional attributes and physical attributes be better explained and that
the ORSIDS Tracking Form be transormed into more o a job aid with embeddedprocess inormation. These changes were made, and Figures 1 and 2 refect the
incorporation o these suggestions.
To conclude, the pilot test ndings included the ollowing:
In both tests (and in the two preceding eld tests administered by the
researcher), the Instructional Designers were able to acilitate sessions result-
ing in successul searching or online resources, although in the case oInstructional Designer Subject 2 they were text based because o omission o
the provided search terms or media assets. Learning on the level o synthesis
(Bloom, 1956) related to technology-based course development was demon-
strated by the Faculty Member Subject who worked with Instructional
Designer Subject 1, the subject who delivered the script more accurately. This
type o learning was not demonstrated by the Faculty Member Subject who
worked with Instructional Designer Subject 2. There was insucient data to
identiy the Blooms Taxonomy level o learning or Faculty Member 2.
The ormat o the script and related training were not sucient to enable mas-
tery o the script delivery on the part o either Instructional Designer Subject.
As a result o these pilot tests, the beta script was revised, and the nal version
resulted.
Product Evaluation
Several items were prepared to communicate essential inormation about the
documents evolution and the testing results to the Expert Panel while minimizingthe amount o inormation that they had to absorb. Additionally a questionnaire
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90 Deborah elizabeth Cohen
flled the validated requirements. The Expert Panelists rated the process script
highly overall while acknowledging the need or urther feld testing and possible
ormatting changes.
DIScuSSIOn
Three years ater the studys completion, the most striking study fndings
were:
The difculty caused by the lack o standardized searching inrastructure in
searches or educational learning objectsThat media selection theory (developed by instructional design theorists in the
mid to late 20th century) as distilled into ORSIDS proved to be an eective
method to guide the search or learning objects
The difculty experienced by the instructional designer subjects in grasping
media selection theory rom the ORSIDS script and training
The ease with which the educators were able to grasp instructional design and
media selection theory.
The ORSIDS process was limited in its success because o the lack o stan-
dardized inrastructure or the search o educational learning objects. Unlike the
rest o the script which could be delivered in a rather proscribed manner, because
o the lack o standardization, the ORSIDS search process required a good deal
o initiative and problem solving on the part o the instructional designers sub-
jects as well as knowledge o individual repositories and their idiosyncratic meth-
ods or Search Inrastructure.
What would standardized search inrastructure look like? It would consist o a
search experience and search terms that could predictably yield maximum results
across all websites and repositories. This was decidedly not the case.
What would be required or such an inrastructure to exist? When dealing with
one repository in which a metatagging system can be designed together with a
search and selection methodology, it is not difcult to create a standardized search
inrastructure. But when seeking to encompass disparate repositories throughout
the World Wide Web, the context or this study, what is required is eective meta-
data tagging schemes that are interoperable and the use o a uniorm search and
selection methodology.According to Understanding Metadata (2004, p. 1), Metadata is structured
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 91
resource. A metadata scheme is a set o metadata elements defned or a spe-
cifc purpose, such as describing a particular type o inormation resource. The
defnition or meaning o the elements themselves is known as the semantics o
the schema Metadata schemas generally speciy names o elements and their
semantics.
In the years since the 2005 study, a number o organizations have completed
initiatives to develop metadata schemas or educational learning objects includ-
ing IEEE Learning Objects Metadata (IEEE LOM), IMS Learning Resource
Metadata, and PBCORE Metadata. While the IMS Global Learning Consortium
in particular is working towards interoperability, and uses a schema similar in
many ways to the IEEE LOM, the many schemas are still not unctionally interop-
erable: the metadata schemas are not synchronized and electronic resources arenot organized in such a away that search results can all be accessed in a predict-
able and standard way that is transparent to the searcher.
According to Understanding Metadata (2004, p. 2): Interoperability is the
ability o multiple systems with dierent data structuresto exchange data with
minimal loss o content and unctionality. Using defned metadata schemes ...and
crosswalks between schemes, resources across the network can be searched more
seamlessly. The publication goes on to explain that there are two approaches to
interoperability.In cross-system search, implemeters do not share metadata but map their own
search capabilities to a common set o search attributes. A contrasting approach
taken by the Open Archives Initiative is or all data providers to translate their
native metadata to a common core set o elementsd and expose this or harvest-
ing. A search service provider then gathers the metadata into a consistent central
index to allow cross-repository searching regardless o the metadata ormats used
by participating repositories.
The IMS Global Learning Consortium (2008, p. 1) describes the situation at
the time it was written.
Currently, there are no agreed profles that address the needs o the learning
domain, and no established practices or combining existing specifcations
into complete solutions. Individual organizations are creating their own
solutions, and an opportunity to establish broader interoperability is being
missed.
For interoperability to exist, all o the organizations with their individual
metadata schemas would have to work together and allow their electronic
resources to be organized and made accessible in one o the ways decribedabove. But beyond the need or this cooperation, the question also arises
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92 Deborah elizabeth Cohen
can be in supporting educator access to digital educational learning objects.
The media selection process proved eective in the study in assisting with
selecting learning objects to ulll curricular objectives. This suggests that
metadata elds based on the steps in the media selection process may be useul
and should be considered.
The process involved:
The identication o the learning outcome, or objective1.
Determining the applicable learning outcome category or categories2.
Assigning instructional methods3.
Analyzing possible media4.
While some o the major metadata schemes do include # 1 and #4, elds to
speciy learning outcome and media, none o the major educational metadata
schemes include #2 or #3, Learning Outcome Category and Instructional Method.
Their use warrants urther investigation.
Another question raised by the study is the appropriate user or a job aid
such as ORSIDS. The study was based on the assumption that instructional
designers would be appropriate consultants to transmit instructional design and
media selection theory to educators. The study results were surprising in thatthe instructional designers experienced diculties in learning the media selec-
tion methodology while the educators to whom the consultation was provided
were able to pick up instructional design theory relatively easily. There could
be many reasons or the lack o instructional designer mastery including faws
in the product itsel, insucient and unpaid time to learn the ORSIDS method,
and the corporate background o the instructional designers. The instructional
designers also lacked the content knowledge possessed by the educators with
whom they worked, which could have posed a stumbling block as well. Yet the
study showed that the prerequisite knowledge o media selection theory assumed
o the experienced Masters level instructional designers was not present, and
there is no reason to believe that it would be more so with college-employed
instructional designers with a broad range o experience, educational levels and
expertise. The educators on the other hand picked up many instructional design
concepts easily, raising the question o whether educators might be as well or
better equipped than college-employed instructional designers to make use o
scaolding assistance or the selection o learning objects, including the direct
rather than mediated use o a job aid such as ORSIDS that is based on the mediaselection process.
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orSiDS anD impliCationSfortheWiDeSpreaDDiffuSionof learningobjeCtS 93
cOncLuSIOn
This study clearly proved the eectiveness o teaching instructional design,
and in particular media selection theory, to higher education aculty rom disci-
plines outside o instructional design. With ORSIDS, the ASSURE method and
elements o other media selection theories were modifed or use in the online
environment. This study demonstrated that instructional design media selection
theory is eective when transerred to the search or learning objects in the online
environment. The eectiveness o the consulting sessions supported with the
ORSIDS script document the efcacy o instructional design theory when trans-
erred to the online setting. In three out o the our tests, aculty who were taught
this theory responded by having original creative ideas connected to their curricu-lum and how they could be implemented through learning objects.
In the ourth case, where the aculty member did not respond by having origi-
nal creative ideas connected to the curriculum, the instructional designer did not
clearly transmit the instructional design theory. While the value o the ORSIDS
process was proven by the study, the Expert Panelists and the researcher agreed
that the most recent ORSIDS script and related instructional design training
should undergo usability testing and possible urther revisions.
Additionally it emerged rom the study that much more is needed along thelines o searching inrastructure and standardization to acilitate highly reliable
searches or learning objects. The purpose o each search session was to come up
with one good learning object or one learning outcome in a three our hour
session. This manageable goal was accomplished in all our testing sessions.
However, these positive results were hit or miss, resulting rom searches that that
were individualistic and idiosyncratic; by necessity they relied a good deal on the
instructional designers individual judgment and knowledge. The lack o stan-
dardized inrastructure or accessing learning objects, search engine repositories
and searching techniques is a problem that will have to be corrected beore the
wide spread diusion o learning objects can occur. Eorts in this direction have
occurred since the completion o the 2005 study, and it is hoped that eorts
towards standardization and interoperability continue in a manner that success-
ully makes multimedia learning objects accessible to all educators and students.
However, the study did make clear that the delivery o a process script such as
ORSIDS may result in an understanding o the value o learning objects on the
part o aculty. Comprehending how learning objects can apply to the learning
outcomes they plan may cause such aculty to embrace their use or their onlineclasses.
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94 Deborah elizabeth Cohen
REFEREncES
Boyle, T. (2002). Design principles for authoring dynamic, reusable learning objects. Proceedings of
the 19th
Annual Conference of the Australasian Society for Computers in Learning in TertiaryEducation (ASCILITE). Accessed September 4, 2004, from http://www.unitec.ac.ne/ascilite/
proceedings/papers/028.pdf
Brewerton, P. & Millward, L. (2001). Organizational research methods. London: Sage.
Cohen, D. (2004).Development of a media selection tool for online faculty. Poster session presented
at the ED-MEDIA 2004 World Conference on Educational Multimedia, Hypermedia & Tele-
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