RELIABILITY ANALYSIS OF STUDENT ENGAGEMENT MODEL IN USING COLLABORATIVE TECHNOLOGY

This paper examines the reliability of a student engagement model within the context of collaborative technology use in secondary education. As digital tools such as online discussion platforms, shared documents, and virtual collaboration spaces become increasingly integrated into teaching and learning, it is essential to assess how effectively student engagement can be measured in these environments. The model focuses on three dimensions of engagement: behavioral, emotional, and cognitive. Data were collected from secondary school students who participated in collaborative learning activities using digital tools. Statistical analyses, including Cronbach’s alpha, were conducted to evaluate the reliability and how well the components of student engagement fit together as a model. The results indicate high reliability across all dimensions confirming that the model provides a consistent and valid measure of student engagement in technology-supported collaborative learning. These findings offer valuable insights for educators and researchers aiming to assess and enhance student engagement through digital collaboration in secondary schools.

Authors

Institutions

Publication Details

Journal
Journal of Information System and Technology Management
Published
2025-09-19
DOI
https://doi.org/10.35631/jistm.1040017
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RELIABILITY ANALYSIS OF STUDENT ENGAGEMENT MODEL IN USING COLLABORATIVE TECHNOLOGY

Zuriani Ahmad Zukarnain, Noor Ilanie Nordin, Noorihan Abdul Rahman, Nor Elyana Nafisya Binti Khairul Anuar
Journal of Information System and Technology Management
Innovative Teaching and Learning Methods
article

RELIABILITY ANALYSIS OF STUDENT ENGAGEMENT MODEL IN USING COLLABORATIVE TECHNOLOGY

Zuriani Ahmad Zukarnain, Noor Ilanie Nordin, Noorihan Abdul Rahman, Nor Elyana Nafisya Binti Khairul Anuar
article en

Abstract

This paper examines the reliability of a student engagement model within the context of collaborative technology use in secondary education. As digital tools such as online discussion platforms, shared documents, and virtual collaboration spaces become increasingly integrated into teaching and learning, it is essential to assess how effectively student engagement can be measured in these environments. The model focuses on three dimensions of engagement: behavioral, emotional, and cognitive. Data were collected from secondary school students who participated in collaborative learning activities using digital tools. Statistical analyses, including Cronbach’s alpha, were conducted to evaluate the reliability and how well the components of student engagement fit together as a model. The results indicate high reliability across all dimensions confirming that the model provides a consistent and valid measure of student engagement in technology-supported collaborative learning. These findings offer valuable insights for educators and researchers aiming to assess and enhance student engagement through digital collaboration in secondary schools.

Journal of Information System and Technology ManagementVol. 10(40)
Universiti Malaysia Kelantan (MY)
Openalex Percentile: Top 63%
Innovative Teaching and Learning Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

RELIABILITY ANALYSIS OF STUDENT ENGAGEMENT MODEL IN USING COLLABORATIVE TECHNOLOGY — Zuriani Ahmad Zukarnain, Noor Ilanie Nordin, et al. · Journal of Information System and Technology Management (2025) | TGRS Research Map | TGRS