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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
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
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
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
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
Bian Wu; Xinyu Chang; Yiling Hu – Interactive Learning Environments, 2024
Recent years have seen an increase number of studies on spherical video-based virtual reality (SVVR) in education.However, the impact of SVVR on learning performance remains unclear and cannot be simply generalized from traditional VR-based education. The purpose of this study was to examine the overall effects of SVVR on cognitive and…
Descriptors: Video Technology, Computer Simulation, Cognitive Processes, Outcomes of Education
Du, Xu; Zhang, Mingyan; Shelton, Brett E.; Hung, Jui-Long – Interactive Learning Environments, 2022
The study proposes two new measures, time and location entropy, to depict students' physical spatio-temporal contexts when engaged in an online course. As "anytime, anywhere" access has been touted as one of the most attractive features of online learning, the question remains as to the success of students when engaging in online courses…
Descriptors: Electronic Learning, Online Courses, Access to Education, Learning Processes
Vladimir Beketov; Marina Lebedeva; Marina Taranova – Interactive Learning Environments, 2024
The use of the innovative technologies, in particular virtual and augmented reality technologies, can have a significant impact on the training of future doctors. The sample set of the experiment consisted of 211 students from I.M. Sechenov First Moscow State Medical University. The students were divided into 4 age groups: full-time students of…
Descriptors: Artificial Intelligence, Computer Simulation, Academic Achievement, Influence of Technology
Nilüfer Atman Uslu; Hatice Yildiz Durak – Interactive Learning Environments, 2024
Due to the threat of COVID-19, many educational institutions have made urgent decisions about how to continue teaching and learning, taking their courses online. The transition from face-to-face teaching to Emergency remote teaching (ERT) has made it difficult for individuals to organize their learning processes independently. Therefore, in this…
Descriptors: Self Management, Academic Achievement, Emotional Response, Student Attitudes
Hatice Yildiz Durak; Nilüfer Atman Uslu – Interactive Learning Environments, 2024
The purpose of this study is to examine the effect of flexible thinking and achievement emotions in predicting goal-setting, time management, and self-evaluation in the context of online learning. In the study, 438 students at six different universities participated. The proposed structural model was analyzed by PLS-SEM. In the structural model,…
Descriptors: Thinking Skills, Academic Achievement, Psychological Patterns, Goal Orientation
Yujie Zhou; Liping Deng – Interactive Learning Environments, 2023
With the ubiquitous presence of media devices, media multitasking has become prevalent in an educational context. Several authors have synthesized the literature on this topic, but no systematic review has been carried out so far. The present study fills this gap by examining the academic papers in the past decade to delineate the research trends,…
Descriptors: Handheld Devices, Time Management, Technology Uses in Education, Mass Media Use
Liu, Zhi; Yang, Chongyang; Rüdian, Sylvio; Liu, Sannyuya; Zhao, Liang; Wang, Tai – Interactive Learning Environments, 2019
Textual data, as a key carrier of learning feedback, is continuously produced by many students within course forums. The temporal nature of discussion requires students' emotions and concerned aspects (e.g. teaching styles, learning activities, etc.) to be dynamically tracked for understanding learning requirements. To characterize dynamics of…
Descriptors: Online Courses, Student Attitudes, Emotional Response, Models
Huang, Xiaoxia – Interactive Learning Environments, 2017
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly)…
Descriptors: Teaching Methods, Problem Solving, Academic Achievement, Cognitive Processes
Peer reviewedSingley, Mark K. – Interactive Learning Environments, 1990
Describes an experimental test conducted with high school students to determine the effect of posting explicit goal structures on problem-solving performance in an intelligent tutoring system for calculus. Related rates word problems are discussed, and student performance in terms of speed and accuracy is analyzed. (Contains 29 references.) (LRW)
Descriptors: Academic Achievement, Analysis of Variance, Calculus, Computer Assisted Instruction

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