Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 14 |
Since 2016 (last 10 years) | 21 |
Since 2006 (last 20 years) | 25 |
Descriptor
Behavior Patterns | 26 |
Electronic Learning | 26 |
Student Behavior | 26 |
Foreign Countries | 15 |
Learning Analytics | 7 |
Online Courses | 7 |
Learning Activities | 6 |
Academic Achievement | 5 |
College Students | 4 |
Cooperative Learning | 4 |
Instructional Design | 4 |
More ▼ |
Source
Author
Hou, Huei-Tse | 2 |
Abelson, Hal | 1 |
Araújo, Rafael D. | 1 |
Bharati Singh | 1 |
Birch, Heather J. S. | 1 |
Black, Adam | 1 |
Blend Ibrahim | 1 |
Brusilovsky, Peter | 1 |
Carvalho, Elizabeth Simão | 1 |
Chang, Hsuan-Ning | 1 |
Chang, Kuo-En | 1 |
More ▼ |
Publication Type
Journal Articles | 24 |
Reports - Research | 24 |
Reports - Evaluative | 2 |
Speeches/Meeting Papers | 2 |
Education Level
Higher Education | 15 |
Postsecondary Education | 14 |
Secondary Education | 5 |
High Schools | 4 |
Adult Education | 1 |
Elementary Education | 1 |
Grade 11 | 1 |
Audience
Teachers | 1 |
Location
Taiwan | 6 |
United Kingdom | 2 |
Australia | 1 |
China | 1 |
China (Beijing) | 1 |
Hong Kong | 1 |
Japan | 1 |
New Zealand | 1 |
Pakistan | 1 |
Portugal | 1 |
Singapore | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
NEO Personality Inventory | 1 |
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
Joe Hazzam; Stephen Wilkins; Bharati Singh; Blend Ibrahim – Innovations in Education and Teaching International, 2025
Social media educational tools represent an opportunity for higher education (HE) institutions to enhance postgraduate students' skills development. LinkedIn Learning can be used to complement classroom teaching and learning. However, the drivers and outcomes of this tool remain a gap in the literature. This study uses a cross-sectional research…
Descriptors: Foreign Countries, Graduate Students, Electronic Learning, Social Media
Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior
Kaliisa, Rogers; Dolonen, Jan Arild – Technology, Knowledge and Learning, 2023
Despite the potential of learning analytics (LA) to support teachers' everyday practice, its adoption has not been fully embraced due to the limited involvement of teachers as co-designers of LA systems and interventions. This is the focus of the study described in this paper. Following a design-based research (DBR) approach and guided by concepts…
Descriptors: College Faculty, Student Participation, Discourse Analysis, Behavior Patterns
Milat, Iness Nedji; Seridi, Hassina; Moudjari, Abdelkader – International Journal of Distance Education Technologies, 2020
Recently, discovering learner behaviour has taken more attention in the field of e-learning. It aims to gain useful insights into the learning process of students despite the absence of direct interaction with teachers. In fact, the only available source of information in such environments is the log file that represents all possible interactions…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Learning Analytics
Hsu, Ting-Chia; Abelson, Hal; Patton, Evan; Chen, Shih-Chu; Chang, Hsuan-Ning – International Journal of Computer-Supported Collaborative Learning, 2021
In order to promote the practice of co-creation, a real-time collaboration (RTC) version of the popular block-based programming (BBP) learning environment, MIT App Inventor (MAI), was proposed and implemented. RTC overcomes challenges related to non-collocated group work, thus lowering barriers to cross-region and multi-user collaborative software…
Descriptors: Self Efficacy, Behavior Patterns, Student Behavior, Programming
Chen, Ken-Zen; Yeh, Hsiao-Han – Australasian Journal of Educational Technology, 2021
Forum discussions have been utilised widely as a means of facilitating learning interaction and social-knowledge construction in online learning. Much research has been conducted on the instructional interventions that benefit asynchronous discussions. Role-playing, or assigning roles to discussants, has been proven effective in promoting…
Descriptors: Discussion Groups, Interaction, Electronic Learning, Asynchronous Communication
Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
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)
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)
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
Chou, Yi-Shiuan; Hou, Huei-Tse; Chang, Kuo-En; Su, Chien-Lun – Interactive Learning Environments, 2023
This study proposed a cognitive-based game mechanism based on the revised Bloom's taxonomy of cognitive processing dimensions. Moreover, a mobile Chinese history educational game, Void Broken: The Qing Dynasty, was developed based on the cognitive-based game mechanism to promote learners' cognitive thinking in history learning. This empirical…
Descriptors: Cognitive Processes, Handheld Devices, Electronic Learning, Thinking Skills
Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
Birch, Heather J. S. – Journal of Online Learning Research, 2022
This case study is about understanding disruptive students who are motivated by a psychological need to invoke change in a learning space. Marczewski's User Types Test, a typology for classifying both intrinsic and extrinsic motivational tendencies, and based on Self-Determination Theory, was administered to 14 participants, aged 9 through 15, to…
Descriptors: Elementary School Students, High School Students, Student Behavior, Behavior Problems
Previous Page | Next Page »
Pages: 1 | 2