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Zhi Liu; Rui Mu; Zongkai Yang; Xian Peng; Sannyuya Liu; Jia Chen – Interactive Learning Environments, 2023
Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…
Descriptors: MOOCs, Cognitive Processes, Learner Engagement, Discussion Groups
I-Fan Liu; Hui-Chun Hung; Che-Tien Liang – Interactive Learning Environments, 2024
With the rise of big data, artificial intelligence, and other emerging information technologies, an increasing number of students without computer science (CS) backgrounds have begun to learn programming. Programming is considered a complex task for beginners, and instructors find it difficult to quickly address all the problems that students…
Descriptors: Programming, Student Attitudes, Blended Learning, Video Technology
J. Pablo Rosas Baldazo; Yasmín Á. Ríos-Solís; Romeo Sánchez Nigenda – Interactive Learning Environments, 2024
Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…
Descriptors: Study Habits, Scheduling, Time Management, Computer Software
Taihe Cao; Zhaoli Zhang; Wenli Chen; Jiangbo Shu – Interactive Learning Environments, 2023
Online learning with the characteristics of flexibility and autonomy has become a widespread and popular mode of higher education in which students need to engage in self-regulated learning (SRL) to achieve success. The purpose of this study is to utilize clickstream data to reveal the time management of SRL. This study adopts learning analytics…
Descriptors: Time Management, Self Management, Online Courses, Learning Analytics
Alexandros Liapis; Vicky Maratou; Theodor Panagiotakopoulos; Christos Katsanos; Achilles Kameas – Interactive Learning Environments, 2023
The current era of (e-)learning invests heavily on Massive Open Online Courses (MOOCs). Various dedicated MOOC platforms are used, such as Coursera, Udacity, and Open edX. Moodle, one of the most popular open-source Learning Management Systems (LMS), has been also used for MOOC implementations. Usability and user experience (UX) are very important…
Descriptors: MOOCs, Usability, Learning Management Systems, Computer Software Evaluation
Xianglin Pan; Bihao Hu; Zihao Zhou; Xiang Feng – Interactive Learning Environments, 2023
Academic emotions of learners are important for academic achievement. For the online learning platform, it is of great value to gain insight into the academic emotion of the course in appropriate time interval from the platform. We crawled a large number of student comment texts from MOOC, and used deep learning algorithms (BERT models) to perform…
Descriptors: Emotional Experience, MOOCs, Student Attitudes, Academic Achievement
Mutahar Qassem – Interactive Learning Environments, 2024
This article reports on an empirical study on cognitive processes [i.e. (dis) fluency, temporal management of the translation process, and revision] and their relationship with fluency and adequacy. Based on Jakobsen and Schou's (1999) computational model of human translation, the author utilizes keylogging data retrieved from a Translog-II-based…
Descriptors: Cognitive Processes, Language Fluency, Translation, English
Teo, Timothy; Dai, Hai Min – Interactive Learning Environments, 2022
The current research aims to address the concern of high attrition rate in MOOCs via exploring factors underlying learners' acceptance of MOOCs. Despite the plethora of studies on technology acceptance, few have discussed the role of time in technology acceptance. Given that time was reported as an important factor influencing learners' decision…
Descriptors: MOOCs, Foreign Countries, College Students, Student Attitudes
Shu-Hsuan Chang; Lee-Jen Yang; Ching-Huei Chen; Chun-Chao Shih; Yu Shu; Ying-Tsung Chen – Interactive Learning Environments, 2024
The purpose of this meta-analysis was to examine the overall effect and impact of moderators in the context of STEM education. This study first summarized previous meta-analysis studies on STEM education and pinpointed gaps in the current literature, such as inconsistent results and the mixed effects of moderators. It also assessed critical…
Descriptors: STEM Education, Academic Achievement, Outcomes of Education, School Location
Halvoník, Dominik; Kapusta, Jozef; Munk, Michal – Interactive Learning Environments, 2023
The main aim of this paper is to present results of an experimental test focused on the validity and effectiveness of composed methodology aimed at increasing the student's attention in Virtual Learning Environment. Areas of presented methodology which were subject of our research is students behavior during learning. The behavioral part of…
Descriptors: Electronic Learning, Time on Task, Learning Management Systems, Attention
Ahmed Tlili; Michael Agyemang Adarkwah; Soheil Salha; Juan Garzón; Kinshuk; Daniel Burgos – Interactive Learning Environments, 2024
While several studies have investigated the effects of educational games in education, less attention has been paid specifically to the effects of educational mobile games in education. To address this gap, this study conducted a meta-analysis and research synthesis of 38 studies (N = 3302 participants) to investigate the effects of educational…
Descriptors: Educational Games, Puzzles, Handheld Devices, Technology Uses in Education
Loeffler, Jonna; Raab, Markus; Cañal-Bruland, Rouwen – Interactive Learning Environments, 2023
Embodied Cognition approaches suggest that movements influence the understanding of abstract concepts such as time. It follows that moving the arms as watch hands should boost children's learning to read the clock. In a school setting, we compared three learning conditions: an embodied (movement) condition, an interactive App condition, and a text…
Descriptors: Human Body, Cognitive Processes, Time, Arithmetic
Shu-Hsuan Chang; Po-Jen Kuo; Jia Xin Kao; Lee-Jen Yang – Interactive Learning Environments, 2024
With the development of education technology, Smart classroom has evolved to version 2.0. Currently, the meta-analysis literature on the effects of smart classroom-based instruction on academic achievement ignores the impact of technological changes and time on the effect sizes. This study incorporated the impact of technological changes and time,…
Descriptors: Educational Technology, Technology Integration, Instructional Effectiveness, Academic Achievement
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
Med Nadjib Kouahla; Adil Boughida; Imed Chebata; Zohra Mehenaoui; Yacine Lafifi – Interactive Learning Environments, 2023
In e-learning environments, several activities are offered to learners, including learning and assessment activities. During these activities, the learner may encounter difficulties, such as blocking situations or lack of motivation. This paper presents a new approach to detect these difficulties based on the learner's emotional states and…
Descriptors: Psychological Patterns, Cognitive Processes, Electronic Learning, Emotional Response