ERIC Number: EJ1083244
Record Type: Journal
Publication Date: 2015
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1449-5554
EISSN: N/A
A Structural Equation Model to Analyse the Antecedents to Students' Web-Based Problem-Solving Performance
Hwang, Gwo-Jen; Kuo, Fan-Ray
Australasian Journal of Educational Technology, v31 n4 p400-420 2015
Web-based problem-solving, a compound ability of critical thinking, creative thinking, reasoning thinking and information-searching abilities, has been recognised as an important competence for elementary school students. Some researchers have reported the possible correlations between problem-solving competence and information searching ability; however, few studies have proposed what factors might affect students' web-based problem-solving performance. In this study, a five-phase web-based learning approach is proposed; moreover, a web-based problem-solving model was developed to investigate the factors that might affect students' web-based problem-solving performance. To evaluate the effectiveness of the proposed approach, an experiment was conducted by engaging 201 fifth- and sixth-graders from three elementary schools in a series of web-based problem-solving activities. Structural equation modelling was employed to analyse the antecedents affecting the students' web-based problem-solving performance. From the analysis results, it was found that task-technology fit could be the major factor affecting the students' intention to learn on the Web, as it highly affected their web-based problem-solving performance.
Descriptors: Problem Solving, Structural Equation Models, Critical Thinking, Creative Thinking, Elementary School Students, Information Seeking, Correlation, Models, Grade 5, Grade 6, Self Efficacy, Technological Literacy, Educational Technology, Task Analysis, Anxiety, Computer Attitudes, Intention, Causal Models, Questionnaires, Web Based Instruction, Student Attitudes, Scores, Tests, Construct Validity, Goodness of Fit, Foreign Countries, Likert Scales, Pretests Posttests, Factor Analysis
Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: http://www.ascilite.org.au/ajet
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 5; Intermediate Grades; Middle Schools; Grade 6
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Taiwan
Grant or Contract Numbers: N/A