web 2.0 awareness of preservice teachers: a longitudinal study based on innovation-decision process...
TRANSCRIPT
WEB 2.0 AWARENESS OF PRESERVICE TEACHERS: A LONGITUDINAL STUDY BASED ON
INNOVATION-DECISION PROCESS Assoc. Prof. Yasemin KOÇAK USLUEL
Hacettepe University, [email protected]
Pınar NUHOĞLU
Hacettepe University, [email protected]
Esra Telli
Hacettepe University, Ankara [email protected]
Gökhan DağhanHacettepe University, Ankara [email protected]
EDULEARN12 International Conference on Education and New Learning Technologies Barcelona/Spain 2 - 4 July2012
HACETTEPE UNIVERSITY Faculty of EducationComputer Education and Instructional Technology
Aim of the study
This study handles time element of DoI and investigates Web 2.0 awareness of preservice teachers based on innovation-decision process within a longitudinal perspective.
Web 2.0 Technologiessocial networks, learning management systems, search engines, blogs,
podcasts and wikis
Innovation Decision Process Stages“No awareness”“Knowledge”“Implementation”
“Confirmation”
Innovation Decision Process Stages
“The innovation-decision process is the process through which an individual passes from first knowledge of an innovation, to forming an attitude toward the innovation, to a decision to adopt or reject, to implementation of the new idea, and to confirmation of this decision.” (Rogers 2003, p.12).
The Innovation Decision Process (Rogers, 2003)
Innovation Decision Process Stages
No awareness
Individual seeks reinforcement
Individual begin to use the innovation.
Individual exposed to the innovation and gains some information about its function
ImplementationKnowledge
Individual has not reached the knowledge stage
Innovation Decision Process Stages
No awareness Confirmation
It is aimed to provide findings related web 2.0 adoption processes by determining which of the technologies are at the beginning or end of their diffusion process.
Web 2.0 Technologies
Web 2.0
Social Networks
Podcasts
Wiki
Blogs
SearchEngines
LMS
Method Study Group
Female Male Total
Education Programs Elementary Mathematics Education f 34 10 44% 24% 7% 31%
Primary School Education f 56 25 81% 40% 18% 58%
Elementary Science Education f 13 2 15% 10% 1% 11%
Total f 103 37 140% 74% 26% 100%
The study group comprised of 140 students (73.5% female, 26.5% male) studying at teacher education programs of a public university.
The data were collected in two phases in the year 2009 and 2011 from the same preservice teachers.
Genders Across to the Education Programs
Method Data Collection Tools“Innovation Decision Process Questionnaire”
Individual seeks reinforcement
Individual begin to use the innovation.
Individual exposed to the innovation and gains some information about its function
ImplementationKnowledge
Individual has not reached the knowledge stage in innovation-decision process
No awareness Confirmation
‘I never heard.’‘I heard but
I’m not using.’
‘I’m using.’
‘I used to use.’
ConfirmationRejection
6 Months
> >Implementation Confirmation Adoption
FindingsSocial Network
No awareness
Knowledge
Implementation
Confirmation - Rejection
Confirmation - Adoption
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
20092011
FindingsBlog
No Knowledge
Knowledge
Implementation
Confirmation - Rejection
Confirmation - Adoption
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660lCE660n660lCE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
20092011
FindingsLearning Management System
No Knowledge
Knowledge
Implementation
Confirmation - Rejection
Confirmation - Adoption
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660lCE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
20092011
FindingsSearch Engines
No Knowledge
Knowledge
Implementation
Confirmation - Rejection
Confirmation - Adoption
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660lCE660n660lCE660n660l
CE660n660l
CE660n660lCE660n660lCE660n660lCE660n660l
CE660n660l
20092011
FindingsWiki
No Knowledge
Knowledge
Implementation
Confirmation - Rejection
Confirmation - Adoption
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l20092011
FindingsPodcast
No Knowledge
Knowledge
Implementation
Confirmation - Rejection
Confirmation - Adoption
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660lCE660n660l
20092011
ConclusionBased on DoI theory, the innovation-decision process could also be investigated within a more simple binary classification as “awareness” and “no awareness”.
Social Network
CE665n665l CE665n665l CE665n665lCE660n660l
CE660n660l
CE660n660l
CE660n660l CE660n660l
CE660n660l CE660n660lno awarenessawareness
ConclusionBased on DoI theory, the innovation-decision process could also be investigated within a more simple binary classification as “awareness” and “no awareness”.
Blog
CE665n665l CE665n665l CE665n665lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
No awarenessAwareness
ConclusionBased on DoI theory, the innovation-decision process could also be investigated within a more simple binary classification as “awareness” and “no awareness”.
Learning Management System
CE665n665l CE665n665l CE665n665lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
No awarenessAwareness
ConclusionBased on DoI theory, the innovation-decision process could also be investigated within a more simple binary classification as “awareness” and “no awareness”.
Search Engines
CE665n665l CE665n665l CE665n665lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l No awarenessAwareness
ConclusionBased on DoI theory, the innovation-decision process could also be investigated within a more simple binary classification as “awareness” and “no awareness”.
Wiki
CE665n665l CE665n665l CE665n665lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
No awarenessAwareness
ConclusionBased on DoI theory, the innovation-decision process could also be investigated within a more simple binary classification as “awareness” and “no awareness”.
Podcast
CE665n665l CE665n665l CE665n665lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l No awarenessAwareness
Conclusion
Social Network Blog LMS Search Engines Podcast WikiCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
20092011
As observed in the study; the diffusion of an innovation may differ according to each technology.
Within two years; the percentages of awareness in all web 2.0 technologies are increased.
Conclusion
Social Network Blog LMS Search Engines Podcast WikiCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
20092011
Nearly completed.
The Diffusion Process
Conclusion
Social Network Blog LMS Search Engines Podcast WikiCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
20092011
Critical mass has been exceeded.
The Diffusion Process
Conclusion
Social Network Blog LMS Search Engines Podcast WikiCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660lCE660n660l
CE660n660l
CE660n660l
CE660n660l
CE660n660l
20092011
Progressing slowly.
The Diffusion Process
Future Studies
The future studies about the reasons of these differences may contribute to DoI theory.
In addition, technology characteristics and individual expectations should be matched with concrete proposals for solutions, because of the possible impact of these characteristics and expectations to the diffusion of technologies.
Social Networks
Podcasts
Wiki
Blogs
SearchEngines
LMS
Future Studies
Thus web 2.0 technologies have positive effects on learning and interaction, future studies in educational context could
Social Networks
Podcasts
Wiki
Blogs
SearchEngines
LMS
determine the advantages and disadvantages of technologies that have slow diffusion process.
In addition to these researches it is needed to be investigatedhow to provide awareness about unknown technologies which could help the actors of the educational system.
References[1] Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt web 2.0 technologies: theory and emprical tests. The Internet and Higher Education 11(2), pp. 71-80.[2] Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes 50(2), pp. 179-211.[3] Creswell, J. W. (2002). Research Design Qualitative Quantitative and Mixed Method Approaches. London, Sage Publications.[4] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), pp. 319-340.[5] Doll, W. J., & Ahmed, M. U. (1983). Managing User Expectations. Journal of Systems Management 34(6), pp. 6-11.[6] Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley, Reading MA.[7] Fraenkel, J., & Wallen, N. (2006). How to Design and Evaluate Research in Education. McGraw-Hill.[8] Hartshorne, R., & Ajjan, H. (2009). Examining student decisions to adopt Web2.0 technologies: theory and empirical tests. Journal of Computing in Higher Education 21, pp. 183-198.[9] Kennedy, G. E., Judd, T. S., Churchward, A., & Gray, K. (2008). First year students’ experiences with technology: Are they really digital natives? Australasian Journal of Educational Technology 24(1), pp. 108-122.[10] Li, Y. & Lindner, J. R. (2007). Faculty adoption behaviour about web-based distance education: a case study from China Agricultural University. British Journal of Educational Techology 38(1), pp. 83-94.[11] Martin, S., Diaz, G., Sancristobal, E., Gil, R., Castro, M., &Peire, J. (2011). New technology trends in education: Seven years of forecasts and convergence. Computers & Education 57(3), pp. 1893-1906.[12] Rogers, E. M. (2003). Diffusion of innovation (5th ed.). New York: The Free Press.[13] Simões, L., & Gouveia, L. B. (2008). Web 2.0 and higher education: Pedagogical implications. Higher Education: New Challenges and Emerging Rolesfor Human and Social Development. 4th International Barcelona Conference on Higher Education Technical University of Catalonia (UPC). 31 March, 1-2 April.[14] Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research 79(2), pp. 625–649.[15] Thompson, R. L., & Higgins, C. A. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly 15(1), pp. 125-143.[16] Usluel, Y. K., Mazman, S. G., Arıkan, A. (2009). Prospective teachers’ awareness of collaborative web 2.0 tools. Presented at IADIS International Conference WWW/Internet 2009, Rome, 19 - 22 November, Italy.[17] Venkatesh, V., Morris, M. G., Davis, G. B., &Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3), pp. 425-478.
WEB 2.0 AWARENESS OF PRESERVICE TEACHERS: A LONGITUDINAL STUDY BASED ON
INNOVATION-DECISION PROCESS Assoc. Prof. Yasemin KOÇAK USLUEL
Hacettepe University, [email protected]
Pınar NUHOĞLU
Hacettepe University, [email protected]
Esra Telli
Hacettepe University, Ankara [email protected]
Gökhan DağhanHacettepe University, Ankara [email protected]
EDULEARN12 International Conference on Education and New Learning Technologies Barcelona/Spain 2 - 4 July2012
HACETTEPE UNIVERSITY Faculty of EducationComputer Education and Instructional Technology
THANKS…