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Xiao Wen; Hu Juan – Interactive Learning Environments, 2024
To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…
Descriptors: MOOCs, Dropouts, Dropout Characteristics, Dropout Research
Liu, Bowen; Wu, Yonghe; Xing, Wanli; Guo, Shouchao; Zhu, Lijuan – Interactive Learning Environments, 2023
3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students' SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but…
Descriptors: Independent Study, Computer Simulation, Design, Models
Kyle R. Vareberg; Carrie Anne Platt – Interactive Learning Environments, 2024
Previous research links personalized learning with gains in student motivation and learning outcomes. Understanding the methods and processes students use when they engage in informal learning can help instructors facilitate personalized learning more effectively and efficiently. Toward that end, our study develops a theoretical framework for…
Descriptors: Technology Uses in Education, Video Technology, Independent Study, Academic Achievement
Minhui Zhong; Jinxia Jiang; Han Zhang; Xia Duan – Interactive Learning Environments, 2023
Newly registered nurses' emergency response capability falls short of their employers' expectations. Therefore, they need to develop this ability to cope with various changes in the clinic. Unfortunately, traditional learning has not been good enough in cultivating nursing skills and fostering self-directed learning which plays a key role in the…
Descriptors: Flipped Classroom, Nurses, Nursing Education, Hospitals
Yuanyuan Yang; Rwitajit Majumdar; Huiyong Li; Brendan Flanagan; Hiroaki Ogata – Interactive Learning Environments, 2024
Self-directed learning (SDL) requires students to take initiative to learn and control their own learning process. Literature highlights the importance of SDL for lifelong learning. Yet, little understanding is known regarding how to support SDL at the school level, specifically for out-of-class learning context. To fill up this gap, this research…
Descriptors: Learning Analytics, Independent Study, Learning Processes, Reading Habits
Vui-Yee Koon – Interactive Learning Environments, 2023
Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education…
Descriptors: Journal Articles, Electronic Learning, Humanistic Education, Bibliometrics
Yung-Hsiang Hu; Bo-Kai Liao; Chieh-Lun Hsieh – Interactive Learning Environments, 2024
It is known that teachers commonly utilize learning platforms equipped with Learning Analytics Dashboards (LAD) to support students in their Self-Regulated Learning (SRL) endeavors. However, students may struggle to effectively employ LAD due to a lack of sufficient metacognitive skills. Co-regulation of learning (CoRL) has been proven to…
Descriptors: Program Effectiveness, Gamification, Learning Analytics, Educational Technology
Morris, Thomas Howard; Rohs, Matthias – Interactive Learning Environments, 2023
Self-directed learning is a critical competence for living and working in our increasingly complex and unpredictable world. The concept of self-directed learning grew out of the adult learning field and scholars highlight the need to examine how self-directed learning competence can be fostered during childhood. However, there are very few…
Descriptors: Educational Technology, Independent Study, Technology Uses in Education, Student Role
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
Ruofei Zhang; Di Zou; Gary Cheng – Interactive Learning Environments, 2024
Chatbots have been increasingly applied for EFL education and demonstrated overall usefulness in improving knowledge and motivation, while this technology has yet to be used for learning logical fallacies (i.e. errors in reasoning) in EFL writing. However, knowledge of logical fallacies is essential, with which learners can avoid fallacies in EFL…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
Johnson, Mark William; Rodriguez-Arciniegas, Svetlana; Kataeva, Anna Nikolaevna – Interactive Learning Environments, 2023
The way in which informal learning in a Personal Learning Environment (PLE) is coordinated is poorly understood. Conversation -- with teachers, friends or family -- contributes to the processes involved in meaningfully negotiating resources. While institution-centric education creates contexts for conversations and codifies educational attainment,…
Descriptors: Informal Education, Independent Study, Concept Formation, Cybernetics
Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
Seongyune Choi; Yeonju Jang; Hyeoncheol Kim – Interactive Learning Environments, 2024
Intelligent Personal Assistants (IPAs) are becoming more prevalent in daily and educational contexts, increasing the possibility of using them as learning partners that can provide more personalized and learner-centric learning opportunities. However, research has primarily focused on educational advantages that IPAs may provide, overlooking…
Descriptors: Intelligent Tutoring Systems, Foreign Countries, Technology Uses in Education, Independent Study
Ma, Xiulin; Liu, Jingjing; Liang, Jing; Fan, Chenyu – Interactive Learning Environments, 2023
The online learning practice has already demonstrated that the quality of interaction and motivation in collaborative learning is not as good as expected, due to the loneliness and burnout feeling spawned by inadequate learning status information about others. This study proposed a model on group awareness to feedback information of group learning…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Electronic Learning
Poitras, Eric G.; Doleck, Tenzin; Huang, Lingyun; Dias, Laurel; Lajoie, Susanne P. – Interactive Learning Environments, 2023
This study applies a time-driven approach to model self-regulated learning (SRL) on the basis of elapsed time metrics in the context of open-ended learning environments (OELEs), specifically, network-based tutors. In doing so, we examine how students allocated attentional resources to distinct phases of SRL as a measure of depth of information…
Descriptors: Independent Study, Self Management, Time, Networks