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Feng Hsu Wang – IEEE Transactions on Learning Technologies, 2024
Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…
Descriptors: Learning Processes, Models, Man Machine Systems, Cooperative Learning
Chunyun Zhang; Hebo Ma; Chaoran Cui; Yumo Yao; Weiran Xu; Yunfeng Zhang; Yuling Ma – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) aims to trace students' evolving knowledge states based on their learning sequences. Recently, some deep learning based models have been proposed to incorporate the historical information of individuals to trace students' knowledge states and achieve encouraging progress. However, these works ignore the collaborative…
Descriptors: Supervision, Knowledge Level, Learning Processes, Cooperative Learning
Ilkou, Eleni; Tolmachova, Tetiana; Fisichella, Marco; Taibi, Davide – IEEE Transactions on Learning Technologies, 2023
Currently, the search history in search engines is presented in a list view of some combination of enumerated results by title, URL, or search query. However, this classical list view is not ideal in collaborative search environments as it does not always assist users in understanding collaborators' search history results and the project's status.…
Descriptors: Graphs, Cooperative Learning, Search Strategies, Active Learning
Karnalim, Oscar; Simon; Chivers, William – IEEE Transactions on Learning Technologies, 2023
We have recently developed an automated approach to reduce students' rationalization of programming plagiarism and collusion by informing them about the matter and reporting uncommon similarities to them for each of their submissions. Although the approach has benefits, it does not greatly engage students, which might limit those benefits. To…
Descriptors: Gamification, Programming, Plagiarism, Cooperative Learning
Xiangping Cui; Chen Du; Jun Shen; Susan Zhang; Juan Xu – IEEE Transactions on Learning Technologies, 2024
Research shows that gamified learning experiences can effectively improve the outstanding issues of students in online learning, such as lack of continuous motivation and easy burnout, thereby improving the effectiveness of online learning. However, how to enhance the gamified learning experience in online learning, and what impact there is…
Descriptors: Gamification, Learning Experience, Electronic Learning, Instructional Effectiveness
Teemu H. Laine; Woohyun Lee – IEEE Transactions on Learning Technologies, 2024
The metaverse is a network of interoperable and persistent 3-D virtual worlds where users can coexist and interact through mechanisms, such as gamification, nonfungible tokens, and cryptocurrencies. Although the metaverse is a theoretical construct today, many collaborative virtual reality (CVR) applications have emerged as potential components of…
Descriptors: Computer Simulation, Simulated Environment, College Students, Student Attitudes
Zheng, Yafeng; Gao, Zhanghao; Shen, Jun; Zhai, Xuesong – IEEE Transactions on Learning Technologies, 2023
A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…
Descriptors: Semantics, Classification, Electronic Learning, Computer Mediated Communication
Echeverria, Vanessa; Yang, Kexin; Lawrence, LuEttaMae; Rummel, Nikol; Aleven, Vincent – IEEE Transactions on Learning Technologies, 2023
Combining individual and collaborative learning is common, but dynamic combinations (which happen as-the-need arises, rather than in preplanned ways, and may happen on an individual basis) are rare. This work reports findings from a technology probe study exploring alternative designs for classroom co-orchestration support for dynamically…
Descriptors: Man Machine Systems, Artificial Intelligence, Cooperative Learning, Educational Technology
Revelo, Oscar Sanchez; Collazos Ordonez, Cesar Alberto; Redondo, Miguel A.; Ibert Bittencourt Santana Pinto, Ig – IEEE Transactions on Learning Technologies, 2021
The incorporation of collaborative work in the educational field grows day after day, as does the research associated with this topic. One of the most recurring problems faced by teachers who want to employ this learning strategy is the good students' group formation since this task can be complex both conceptually and computationally, especially…
Descriptors: Homogeneous Grouping, Cooperative Learning, Personality Traits, Genetics
Xie, Tao; Liu, Ruobin; Chen, Yijin; Liu, Geping – IEEE Transactions on Learning Technologies, 2021
The use of conversational agents in computer-supported collaborative learning (CSCL) has been identified as a useful tactic for motivational intervention. The purpose of the current study was to design and implement a conversational agent called a motivational online conversational agent (MOCA) that incorporated motivational interviewing (MI) and…
Descriptors: Learner Engagement, Cooperative Learning, Intelligent Tutoring Systems, Student Motivation
Chen Li; Yue Jiang; Peter H. F. Ng; Yixin Dai; Francis Cheung; Henry C. B. Chan; Ping Li – IEEE Transactions on Learning Technologies, 2024
Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the…
Descriptors: Computer Simulation, Computer Assisted Instruction, Cooperative Learning, Technology Uses in Education
Lee, Sangmin-Michelle – IEEE Transactions on Learning Technologies, 2023
EFL students often struggle with second language (L2) learning, particularly because they learn L2 out of context, which they find unmeaningful and demotivating. To provide a meaningful context for L2 learning and make learning more interesting, the present study utilized a customizable metaverse platform. First, we developed a scenario of a rose…
Descriptors: Second Language Learning, English (Second Language), Computer Simulation, Technology Uses in Education
Ramos, Ilmara Monteverde Martins; Ramos, David Brito; Gadelha, Bruno Freitas; de Oliveira, Elaine Harada Teixeira – IEEE Transactions on Learning Technologies, 2021
Forming groups in distance education is challenging for teachers because, with this modality, only 20% of the classes are held in person with the students. Thus, it is essential to achieve satisfactory results with automated approaches that can help teachers. In this article, an automated approach is proposed to assist teachers in recommending…
Descriptors: Cooperative Learning, Integrated Learning Systems, Electronic Learning, Distance Education
Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus – IEEE Transactions on Learning Technologies, 2021
Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of…
Descriptors: Learning Analytics, 21st Century Skills, Learning Modalities, Task Analysis
Tenorio, Thyago; Isotani, Seiji; Bittencourt, Ig Ibert; Lu, Yu – IEEE Transactions on Learning Technologies, 2021
The application of the collective intelligence (CI) concept has yielded significant results in many knowledge areas and it has substantial potential to yield results in the educational context. In view of distance education and online educational technologies, the use of CI has enormous potential to improve collaboration, social learning, and…
Descriptors: Intelligence, Educational Technology, Electronic Learning, Distance Education