Using learning analytics with temporal modeling to uncover the interplay of before-class video viewing engagement, motivation, and performance in an active learning context-Reference-Cited by-同舟云学术

Using learning analytics with temporal modeling to uncover the interplay of before-class video viewing engagement, motivation, and performance in an active learning context

Published:2024-04 Issue: Volume:212 Page:104975
ISSN:0360-1315
Container-title:Computers & Education
language:en
Short-container-title:Computers & Education

Author:

Wu Jiun-Yu^ORCID,Liao Chen-Hsuan,Tsai Chin-Chung^ORCID,Kwok Oi-Man^ORCID

Funder

National Science and Technology Council

Publisher

Elsevier BV

Subject

Education,General Computer Science

Reference76 articles.

1. Motivation and cognitive load in the flipped classroom: Definition, rationale and a call for research;Abeysekera;Higher Education Research and Development,2015

2. The flipped classroom: A review of its advantages and challenges;Akçayır;Computers & Education,2018

3. Dynamic structural equation models;Asparouhov;Structural Equation Modeling: A Multidisciplinary Journal,2018

4. Analyzing the effects of the flipped classroom method on counselling students' competencies and effective counselling characteristics in ethics class;Avcı;British Journal of Guidance and Counselling,2023

5. Does inducing students to schedule lecture watching in online classes improve their academic performance? An experimental analysis of a time management intervention;Baker;Research in Higher Education,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of question presence and interactivity in instructional videos on student learning;Education and Information Technologies;2024-07-05

2. STEM-PT Traveler, a game-based approach for learning elements of the periodic table: an approach for enhancing secondary school students’ motivation for learning chemistry;Chemistry Education Research and Practice;2024

3. Contemporary Trends of Digitalisation of Management Processes in Higher Education: Data Analytics, Cloud Technologies and Artificial Intelligence Authors;Educological discourse;2024