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Liu, Lingyan; Zhao, Bo; Rao, Yiqiang – International Journal of Information and Communication Technology Education, 2022
A lot of studies have shown that there is an "inverse U-curve" relationship between learners' grades and cognitive load. Learners' grades are closely related to their learning behavior characteristics on online learning. Is there any relationship between online learners' behavior characteristics and cognitive load? Based on this, the…
Descriptors: Cognitive Processes, Difficulty Level, Learning Analytics, Electronic Learning
Zheng, Lanqin; Zhong, Lu; Fan, Yunchao – Education and Information Technologies, 2023
Online collaborative learning (OCL) has been a mainstream pedagogy in the field of higher education. However, learners often produce off-topic information and engage less during online collaborative learning compared to other approaches. In addition, learners often cannot converge in knowledge, and they often do not know how to coregulate with…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Learning Analytics
Carvalho, Paulo F.; McLaughlin, Elizabeth A.; Koedinger, Kenneth R. – Journal of Educational Psychology, 2022
In this article, we leverage data from over 1,000 students participating in two different online courses to investigate whether better learning outcomes are associated with student decisions to practice instead of (re-)reading. Consistent with laboratory and classroom findings, we find that students' decisions to practice are related to better…
Descriptors: Independent Study, Electronic Learning, Online Courses, Outcomes of Education
Amy Goodman; Youngjin Lee; Willard Elieson; Gerald Knezek – Journal of Computers in Mathematics and Science Teaching, 2023
Virtual learning environments give students more autonomy over their learning than traditional face-to-face classes and require that students adapt the ways they consume and assimilate new information. One theory of this process is self-regulated learning, which is illustrated in Efklides' Metacognitive and Affective model of Self-Regulated…
Descriptors: Self Management, Learning Theories, Learning Analytics, Undergraduate Students
Zheng, Lanqin; Zhong, Lu; Niu, Jiayu – Assessment & Evaluation in Higher Education, 2022
Learning analytics has been widely used in the field of education. Most studies have adopted a learning analytics dashboard to present data on learning processes or learning outcomes. However, only presenting learning analytics results was not sufficient and lacked personalised feedback. In response to these gaps, this study proposed a learning…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Feedback (Response)
Karaoglan Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Technology, Knowledge and Learning, 2022
One of the main problems encountered in the online learning process is the low or absence of students' engagement. They may face problems with behavioral engagement, cognitive engagement, emotional engagement in online learning environments. It is thought that the problems related to students' engagements can be overcome with personalized…
Descriptors: Learning Analytics, Intervention, Learner Engagement, Electronic Learning
Chen, Li; Lu, Min; Goda, Yoshiko; Shimada, Atsushi; Yamada, Masanori – International Association for Development of the Information Society, 2020
In this study, we used a learning analytics dashboard (LAD) in a higher education course to support students' metacognition and evaluated the effects of its use. The LAD displays students' reading path and specific behaviors when viewing digital learning materials. The study was conducted on 53 university students to identify the factors that…
Descriptors: College Students, Learning Analytics, Metacognition, Educational Technology
Ladino Nocua, Andrea Catalina; Cruz Gonzalez, Joan Paola; Castiblanco Jimenez, Ivonne Angelica; Gomez Acevedo, Juan Sebastian; Marcolin, Federica; Vezzetti, Enrico – Education Sciences, 2021
Student engagement allows educational institutions to make better decisions regarding teaching methodologies, methods for evaluating the quality of education, and ways to provide timely feedback. Due to the COVID-19 pandemic, identifying cognitive student engagement in distance learning has been a challenge in higher education institutions. In…
Descriptors: Learner Engagement, Cognitive Processes, Metabolism, Physiology
Larmuseau, Charlotte; Cornelis, Jan; Lancieri, Luigi; Desmet, Piet; Depaepe, Fien – British Journal of Educational Technology, 2020
To have insight into cognitive load (CL) during online complex problem solving, this study aimed at measuring CL through physiological data. This study experimentally manipulated intrinsic and extraneous load of exercises in the domain of statistics, resulting in four conditions: high complex with hints, low complex with hints, high complex…
Descriptors: Learning Analytics, Problem Solving, Electronic Learning, Cognitive Processes
Korkmaz, Ceren; Correia, Ana-Paula – Educational Media International, 2019
The purpose of this review is to investigate the trends in the body of research on machine learning in educational technologies, published between 2007 and 2017. The criteria for article selection were as follows: (1) study on machine learning in educational/learning technologies, (2) published between 2007-2017, (3) published in a peer-reviewed…
Descriptors: Electronic Learning, Educational Technology, Educational Trends, Automation
Kew, Si Na; Tasir, Zaidatun – Knowledge Management & E-Learning, 2021
Discussion forums provide students with accessible platforms for group discussions in e-learning environments. They also help lecturers to track and check student discussions. To improve student learning, it is important for lecturers to identify students' cognitive engagement in discussion forums. Therefore, this study aims to investigate…
Descriptors: Learner Engagement, Electronic Learning, Discussion Groups, Discussion (Teaching Technique)
Wang, Yang; Stein, David – Distance Education, 2021
Understanding the role of teaching presence in students' learning can help improve online teaching. This study explored the effects of online teaching presence on students' cognitive conflict and engagement by analyzing three rounds of a course taught with different levels of teaching presence. The participants were 132 students enrolled across…
Descriptors: Learner Engagement, Electronic Learning, Online Courses, Psychological Patterns
Ramli, Izzat S. Mohd; Maat, Siti M.; Khalid, Fariza – Pegem Journal of Education and Instruction, 2022
The boom of the 4.0 industrial revolution and the Covid-19 pandemic have changed the teaching and learning process, where digital learning environments have become increasingly necessary and convenient. The application of game-based learning (GBL) provides many benefits, such as helping to improve the quality of the mathematics teaching and…
Descriptors: Computer Games, Educational Games, Game Based Learning, Learning Analytics