assessing learners’ knowledge construction model in an e-learning environment 指導教授 : 陳...
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Assessing learners’ knowledge construction Assessing learners’ knowledge construction model in an e-learning environmentmodel in an e-learning environment
指導教授指導教授 : : 陳 明 溥陳 明 溥研 究 生研 究 生 : : 許 良 村 許 良 村
Huang, H.M., & Liaw, S.S.(2004). Assessing learners’ knowledge construction model in an e-learning environment. November 30-December, 3, ICCE2004, Melbourne, Australia. (NSC92-2520-S-025-001).
IntroductionIntroduction The current study develops and examines a conceptual model The current study develops and examines a conceptual model
of learners’ perceptions toward online learning as a tool for knof learners’ perceptions toward online learning as a tool for knowledge construction. owledge construction.
The model explores learners’ knowledge construction toward The model explores learners’ knowledge construction toward a E-learning environment that integrated individual experience,a E-learning environment that integrated individual experience, teacher factor, multimedia factor, and courseware tools to dev teacher factor, multimedia factor, and courseware tools to develop a new aspect of individual attitudes toward problem-solvielop a new aspect of individual attitudes toward problem-solving abilities and knowledge construction. ng abilities and knowledge construction.
This study will help us gain an understanding on how learners’This study will help us gain an understanding on how learners’experience and perceptions affect the construction of individuaexperience and perceptions affect the construction of individual knowledge. l knowledge.
Moreover, this study will also provide stronger predictive arguMoreover, this study will also provide stronger predictive arguments regarding the observed relationships.ments regarding the observed relationships.
IntroductionIntroduction The model explores learners’ knowledge construction The model explores learners’ knowledge construction
toward a E-learning environment that integrated toward a E-learning environment that integrated individual experience, teacher factor, multimedia individual experience, teacher factor, multimedia factor, and courseware tools to develop a new aspect factor, and courseware tools to develop a new aspect of individual attitudes toward problem-solving of individual attitudes toward problem-solving abilities and knowledge construction. abilities and knowledge construction.
This study will help us gain an understanding on how This study will help us gain an understanding on how learners’experience and perceptions affect the learners’experience and perceptions affect the construction of individual knowledge. construction of individual knowledge.
Moreover, this study will also provide stronger Moreover, this study will also provide stronger predictive arguments regarding the observed predictive arguments regarding the observed relationships. relationships.
Theoretical model Theoretical model (Variables)(Variables) hours spending weeklyhours spending weekly computer skills in web browsercomputer skills in web browser computer skills in web designcomputer skills in web design courseware tools courseware tools multimedia factor multimedia factor teacher factor teacher factor problem solving abilitiesproblem solving abilities knowledge construction knowledge construction
Research hypotheses Research hypotheses H1-1. The more H1-1. The more individual experienceindividual experience in computingin computing a a
learner has, the more a learner will like the online learner has, the more a learner will like the online course represented via course represented via teacher videoteacher video
H1-2. The more individual experience in computing a H1-2. The more individual experience in computing a learner has, the more a learner will like the online learner has, the more a learner will like the online course represented via course represented via multimedia inputmultimedia input
H1-3. The more individual experience in computing a H1-3. The more individual experience in computing a learner has, the more a learner will like the course learner has, the more a learner will like the course materials management via materials management via courseware toolscourseware tools. .
H2-1. The more H2-1. The more computer skillscomputer skills a learner has, the a learner has, the more a learner will like the online course represented more a learner will like the online course represented via via teacher input teacher input
H2-2. The more computer skills a learner has, the H2-2. The more computer skills a learner has, the more a learner will like the online course represented more a learner will like the online course represented via via multimedia inputmultimedia input. .
Research hypothesesResearch hypotheses H2-3. The more computer skills a learner has, the more a leH2-3. The more computer skills a learner has, the more a le
arner will like the online course manage-ment via arner will like the online course manage-ment via coursewcourseware toolsare tools. .
H3. The more course materials represented via H3. The more course materials represented via teacher vidteacher video inputeo input, the more , the more problem-solving abilitiesproblem-solving abilities of the learners of the learners will have. will have.
H4. The more course materials represented via H4. The more course materials represented via multimedia multimedia inputinput, the more , the more problem-solving abilitiesproblem-solving abilities of the learners wi of the learners will have.ll have.
H5. The more course materials represented via H5. The more course materials represented via courseware courseware toolstools, the more , the more problem-solving abilitiesproblem-solving abilities of the learners wil of the learners will have. l have.
H6. The more H6. The more problem-solving abilitiesproblem-solving abilities of a learner have, t of a learner have, the more abilities of the learner’ he more abilities of the learner’ knowledge constructionknowledge construction will have. will have.
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent Learner’s abilities
H1
Hypotheses 1Hypotheses 1
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent Learner’s abilities
H2
Hypotheses 2Hypotheses 2
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent Learner’s abilities
H5
H4
H3
Hypotheses 3,4,5 Hypotheses 3,4,5
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent Learner’s abilities
H6
Hypotheses 6Hypotheses 6
Experimental methodology Experimental methodology main purposes :main purposes : - relationships between - relationships between learners’ variableslearners’ variables and and
course representationscourse representations with and learning from the with and learning from the hypermedia Web-based learning environment hypermedia Web-based learning environment
- relationships between - relationships between course representationscourse representations and and the the learners’ abilitieslearners’ abilities on problem solving and on problem solving and knowledge construction knowledge construction
the subject :the subject : - a total of 200 medical students in central Taiwan - a total of 200 medical students in central Taiwan
took part in this study. took part in this study. - the sample comprises of 80 males and 91 female - the sample comprises of 80 males and 91 female
students who responded to the questionnaire.students who responded to the questionnaire.
The Means and standard deviations of students’ The Means and standard deviations of students’ perceptions toward knowledge construction perceptions toward knowledge construction
The Means and standard deviations of students’ The Means and standard deviations of students’ perceptions toward knowledge constructionperceptions toward knowledge construction
Correlation analysisCorrelation analysis
Result and discsusionResult and discsusion 1st 1st regression analysis (regression analysis (courseware toolscourseware tools) :) :
- - independent variables (independent variables (computer skills in Web computer skills in Web browser, e-mail access, word processing, and browser, e-mail access, word processing, and computer skills in Web design; individual computer skills in Web design; individual experience in computer use, taken Web-based experience in computer use, taken Web-based courses, hours spent weekly) courses, hours spent weekly)
- The results that presented - The results that presented computer skills in computer skills in Web designWeb design, , Web browserWeb browser and and hours spent on hours spent on the system weeklythe system weekly were three predictors of were three predictors of courseware tools courseware tools
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent
.22**
.19*
.31*
Learner’s abilities
2nd 2nd regression analysis (regression analysis (teacher video inputteacher video input): ):
- independent variables (computer skills and ind- independent variables (computer skills and individual experience)ividual experience)
-The result that presented only “-The result that presented only “ours spent weekours spent weeklyly” was a predictor of teacher input ” was a predictor of teacher input
Result and discussionResult and discussion
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent
.18*
Learner’s abilities
Result and discussionResult and discussion3rd 3rd regression analysis (regression analysis (multimedia inputmultimedia input):):
- independent variables (computer skills and - independent variables (computer skills and individual experience)individual experience)
-The result that -The result that web browser skillweb browser skill is the only is the only predictor of multimedia inputpredictor of multimedia input
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent
.19*
Learner’s abilities
Result and discussionResult and discussion
4th4th regression analysis ( regression analysis (problem-solving problem-solving abilitiesabilities): ):
- - independent variables (independent variables (courseware tools, courseware tools, multimedia input, teacher video input and multimedia input, teacher video input and knowledge construction knowledge construction ))
- - The result that presented effects of courseware The result that presented effects of courseware tools, multimedia input, teacher video input tools, multimedia input, teacher video input and knowledge construction wereand knowledge construction were all all predictors of problem-solving abilities.predictors of problem-solving abilities.
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent
.15**
.33**
.29**
Learner’s abilities
Result and discussionResult and discussion
5th5th regression analysis ( regression analysis (knowledge constructionknowledge construction):):
- - independent variables (independent variables (problem-solving abilitiproblem-solving abilitieses))
- - The result indicates that problem-solving abilitThe result indicates that problem-solving abilities can predict of knowledge construction. ies can predict of knowledge construction.
Hours spending weekly
Computer skills in Web browser
Computer skills in Web design
Courseware Tools
Hours spending weekly
Teacher video input
Multimedia input
Hours spending weekly
Learner’s variables
Course represent
.67**
Learner’s abilities
The results of regression analyses. The results of regression analyses. (*p<.05; **p<.01)(*p<.05; **p<.01)
ConclusionConclusion in this study and yielded four factors - in this study and yielded four factors -
courseware tools, multimedia factor, teacher courseware tools, multimedia factor, teacher factor and problem solving abilities. factor and problem solving abilities.
computer skills in Web browser and Web computer skills in Web browser and Web design are the key predictors design are the key predictors
teacher video input, multimedia input and teacher video input, multimedia input and courseware tools can predict learners’ courseware tools can predict learners’ abilities on problem solving. abilities on problem solving.
learners will have more abilities on problem learners will have more abilities on problem solving; then, they can construct more solving; then, they can construct more knowledge by themselves in the Web-based knowledge by themselves in the Web-based learning environment.learning environment.