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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
Julio Navio-Marco; Luis M. Ruiz-Gómez; Raquel Arguedas-Sanz; Carmen López-Martín – Interactive Learning Environments, 2024
The rise of the student as prosumer (producer-consumer) of educational content is a novel development that has hitherto been the subject of very little research, especially in relation to the generation of digital contents and materials for online and hybrid education in particular. This article analyses whether there are patterns of behaviour and…
Descriptors: Foreign Countries, Higher Education, Blended Learning, Behavior Patterns
Gómez-García, Melchor; Soto-Varela, Roberto; Boumadan, Moussa; Matosas-López, Luis – Interactive Learning Environments, 2023
The emergence of social networks in the university context has contributed to modify students' behaviour, conditioning their academic performance and learning preferences. The objective is to analyse the influence of the patterns of use of social networks when predicting the usefulness that university students, give to different digital…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
Tlili, Ahmed; Wang, Huanhuan; Gao, Bojun; Shi, Yihong; Zhiying, Nian; Looi, Chee-Kit; Huang, Ronghuai – Interactive Learning Environments, 2023
Online and open learning has recently been made prevalent in many regions in order to mitigate educational inequality and to enhance students' learning experiences and outcomes. Previous studies showed that students perform differently in the learning process, where cultural differences matter. However, little is known about how cultural…
Descriptors: Diversity, Cultural Differences, Behavior Patterns, Electronic Learning
Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
Liu, Yan; Deng, Lisa; Lin, Lin; Gu, Xiaoqing – Interactive Learning Environments, 2023
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students' independent study…
Descriptors: Independent Study, Student Behavior, Behavior Patterns, Time on Task
Mouri, Kousuke; Suzuki, Fumiya; Shimada, Atsushi; Uosaki, Noriko; Yin, Chengjiu; Kaneko, Keiichi; Ogata, Hiroaki – Interactive Learning Environments, 2021
This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically…
Descriptors: Data Analysis, Textbooks, Electronic Publishing, Data Collection
Shuai He; Yu Lu – Interactive Learning Environments, 2024
Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…
Descriptors: Instructional Effectiveness, Technology Uses in Education, Artificial Intelligence, Humanities Instruction
Reisoglu, Ilknur; Çebi, Ayça; Bahçekapili, Tugba – Interactive Learning Environments, 2022
While the impact of behavioural and cognitive processes on online information searching behaviours have been studied in some depth, little is known about the impact of procedural and metacognitive processes on online information searching behaviours. In addition, although the literature contains studies examining online information searching…
Descriptors: Online Searching, Information Seeking, Cognitive Style, Cognitive Processes
Fussell, Stephanie G.; Truong, Dothang – Interactive Learning Environments, 2023
Virtual reality (VR) is the latest type of technology being developed and rapidly integrated into training environments. This study investigated students' intentions to use VR for training. The Technology Acceptance Model (TAM) was expanded to include two factors that are relevant to using VR in a dynamic learning environment. A survey of 310…
Descriptors: Computer Simulation, Aviation Education, Technology Uses in Education, Student Attitudes
Hsu, Chung-Yuan; Chiou, Guo-Li; Tsai, Meng-Jung – Interactive Learning Environments, 2019
This study was to investigate the role of students' game self-efficacy in their game performance as well as in their visual behavior distributions and transfer patterns during their gameplay. A total of 48 university students were recruited for participating in a gameplaying task while wearing with an ASL Mobile Eye eye-tracker. After the…
Descriptors: Game Based Learning, Self Efficacy, Eye Movements, Attention
Cheng, Li-Chen; Chu, Hui-Chun – Interactive Learning Environments, 2019
Although computer-supported collaborative learning has been successfully applied in educational settings to improve group learning performance, most such systems still lack effective strategies for knowledge representation which could help reduce discussion time. In this study, concept mapping, already applied as a tool to help visualize and…
Descriptors: Cooperative Learning, Computer Uses in Education, Concept Mapping, Visual Aids
Wu, Sheng-Yi; Chen, Sherry Y.; Hou, Huei-Tse – Interactive Learning Environments, 2016
Concept maps can be used as a cognitive tool to assist learners' knowledge construction. However, in a concept map-based online discussion environment, studies that take into consideration learners' manipulative actions of composing concept maps, cognitive process among learners' discussion, and social knowledge construction at the same time are…
Descriptors: Concept Mapping, Computer Mediated Communication, Teaching Methods, Cognitive Processes
Cheng, Kun-Hung; Hou, Huei-Tse; Wu, Sheng-Yi – Interactive Learning Environments, 2014
In the social interactions among individuals of learning communities, including those individuals engaged in peer assessment activities, emotion may be a key factor in learning. However, research regarding the emotional response of learners in online peer assessment activities is relatively scarce. Detecting learners' emotion when they make…
Descriptors: Online Courses, Electronic Learning, Peer Evaluation, Emotional Response