Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 5 |
| Since 2017 (last 10 years) | 9 |
| Since 2007 (last 20 years) | 11 |
Descriptor
| Behavior Patterns | 13 |
| Learning Activities | 13 |
| Student Behavior | 13 |
| Electronic Learning | 6 |
| College Students | 4 |
| Correlation | 4 |
| Foreign Countries | 4 |
| Prediction | 4 |
| Learning Analytics | 3 |
| Learning Processes | 3 |
| Models | 3 |
| More ▼ | |
Source
Author
| Abdelhadi Raihani | 1 |
| Agatha Lenartowicz | 1 |
| Black, Adam | 1 |
| Bouchaib Cherradi | 1 |
| Chaoyang Zhang | 1 |
| Chen, Jian | 1 |
| Chen, Julia | 1 |
| Connelly, Kirstin P. | 1 |
| Court, Prudence | 1 |
| Cui, Tingru | 1 |
| DuBois, Nelson F. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 12 |
| Journal Articles | 9 |
| Speeches/Meeting Papers | 3 |
| Dissertations/Theses -… | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 6 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yun Tang; Zhengfan Li; Guoyi Wang; Xiangen Hu – Interactive Learning Environments, 2023
To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…
Descriptors: Electronic Learning, Learning Activities, Self Management, Intelligent Tutoring Systems
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Sun, Geng; Lin, Jiayin; Shen, Jun; Cui, Tingru; Xu, Dongming; Kayastha, Mahesh – British Journal of Educational Technology, 2020
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…
Descriptors: Learning Activities, Data Analysis, Open Education, Computer Software
Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
Jennie K. Grammer; Keye Xu; Agatha Lenartowicz – npj Science of Learning, 2021
Activities that are effective in supporting attention have the potential to increase opportunities for student learning. However, little is known about the impact of instructional contexts on student attention, in part due to limitations in our ability to measure attention in the classroom, typically based on behavioral observation and…
Descriptors: Correlation, Classroom Environment, Attention Control, Diagnostic Tests
Foung, Dennis; Chen, Julia – Electronic Journal of e-Learning, 2019
In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, English for Academic Purposes
Shimada, Atsushi; Mouri, Kousuke; Taniguchi, Yuta; Ogata, Hiroaki; Taniguchi, Rin-ichiro; Konomi, Shin'ichi – International Educational Data Mining Society, 2019
In this paper, we focus on optimizing the assignment of students to courses. The target courses are conducted by different teachers using the same syllabus, course design, and lecture materials. More than 1,300 students are mechanically assigned to one of ten courses taught by different teachers. Therefore, mismatches often occur between students'…
Descriptors: Student Placement, Learning Activities, Learning Analytics, Cognitive Style
Olszewski, Mikolaj; Lodzikowski, Kacper; Zwolinski, Jan; Warnakulasooriya, Rasil; Black, Adam – Research-publishing.net, 2016
The aim of this paper is to explore if English as a Foreign Language (EFL) learners' usage of an online workbook follows Benford's law, which predicts the frequency of leading digits in numbers describing natural phenomena. According to Benford (1938), one can predict the frequency distribution of leading digits in numbers describing natural…
Descriptors: Workbooks, English (Second Language), Second Language Learning, Prediction
Zhou, Xiaokang; Chen, Jian; Wu, Bo; Jin, Qun – IEEE Transactions on Learning Technologies, 2014
With the high development of social networks, collaborations in a socialized web-based learning environment has become increasing important, which means people can learn through interactions and collaborations in communities across social networks. In this study, in order to support the enhanced collaborative learning, two important factors, user…
Descriptors: Cooperative Learning, Social Networks, Behavior Patterns, Correlation
Connelly, Kirstin P.; DuBois, Nelson F.; Staley, Richard – 1998
While past research has reported moderate effects of learning-to-learn courses on grade-point averages (GPAs), number of hours completed, and attrition rates, little has been reported about how students fare in subsequent semesters. This study, which consisted of a five-phase interview process with 30 randomly selected male and female college…
Descriptors: Behavior Patterns, College Students, Higher Education, Learning Activities
Court, Prudence; And Others – 1995
A program was implemented in an elementary school to improve students' social skills, thereby reducing physically and verbally aggressive behavior and reducing off-task behavior. The targeted population consisted of second, third, and sixth graders in two northern Illinois elementary schools, one situated in a low socioeconomic neighborhood, the…
Descriptors: Behavior Change, Behavior Patterns, Behavior Problems, Change Strategies

Peer reviewed
Direct link
