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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
Garcia, Manuel B. – Journal of Educational Computing Research, 2023
Computer programming is a difficult course for many students. Prior works advocated for group learning pedagogies in pursuit of higher-level reasoning and conceptual understanding. However, the methodological gaps in existing implementations warrant further research. This study conducted a three-armed cluster-randomized controlled trial to…
Descriptors: Computer Science Education, Programming, Cooperative Learning, Apprenticeships
Bermingham, Nevan; Boylan, Frances; Ryan, Barry – Innovations in Education and Teaching International, 2023
Peer Assisted Leaning (PAL) programmes have been shown to enhance learner confidence and have an overall positive effect on learner comprehension, particularly in subjects traditionally perceived as difficult. This research describes the findings of a three-cycle Action Research study into the perceived benefits of implementing such a programme…
Descriptors: Foreign Countries, Adult Students, Evidence Based Practice, Models
Uto, Masaki; Nguyen, Duc-Thien; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2020
With the wide spread large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure the learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multiple groups to reduce the learner's assessment workload. However, in such cases, the peer assessment…
Descriptors: Item Response Theory, Electronic Learning, Peer Evaluation, Accuracy
Stewart, Angela E. B.; Vrzakova, Hana; Sun, Chen; Yonehiro, Jade; Stone, Cathlyn Adele; Duran, Nicholas D.; Shute, Valerie; D'Mello, Sidney K. – Grantee Submission, 2019
Collaborative problem solving (CPS) is a crucial 21st century skill; however, current technologies fall short of effectively supporting CPS processes, especially for remote, computer-enabled interactions. In order to develop next-generation computer-supported collaborative systems that enhance CPS processes and outcomes by monitoring and…
Descriptors: Problem Solving, Cooperative Learning, Language Usage, Speech Communication
Molina, Ana I.; Arroyo, Yoel; Lacave, Carmen; Redondo, Miguel A. – British Journal of Educational Technology, 2018
The incorporation of advanced information and communication technologies into the field of education has made the design and deployment of courses and instructional units more and more complicated. In order to support such complex task, methods and techniques have been proposed in the last years for the standardization, formalization and modelling…
Descriptors: Programming Languages, Models, Cooperative Learning, Learning Processes
Emara, Mona; Hutchins, Nicole M.; Grover, Shuchi; Snyder, Caitlin; Biswas, Gautam – Journal of Learning Analytics, 2021
The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively…
Descriptors: Cooperative Learning, Self Management, Metacognition, Computer Science Education
Clark, Douglas B.; Sengupta, Pratim – Interactive Learning Environments, 2020
This paper situates a critical review of studies that we have conducted within the broader research literature to analyze the affordances of integrating modeling within disciplinarily-integrated games from computational thinking and science as practice perspectives. Across the studies, the analyses pursue two themes: (a) the role of agent-based…
Descriptors: Game Based Learning, Thinking Skills, Computer Games, Science Education
The MOSAICS Model of Educational Approaches for Teaching the Practice of Software Project Management
Boiangiu, Costin-Anton; Stanica, Iulia-Cristina – Education Sciences, 2019
Maybe you heard the line "managing programmers is like herding cats", and if you consider there is some truth behind this, then you should, perhaps, think how it is to teach people to perform this job. As we know from the research literature, there is no such thing as a consensus about the most suitable teaching method of a software…
Descriptors: Models, Teaching Methods, Computer Software, Programming
Liao, Yi-Wen; Huang, Yueh-Min; Huang, Shu-Hsien; Chen, Hsin-Chin; Wei, Chun-Wang – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Social media or social networking sites have been used to support online learning with good interactive features. If an existing system can retain current users and attract new users, it can provide greater benefits and influence in the field of online learning. However, most previous studies focus on learner participation intention, and rarely…
Descriptors: Social Networks, Social Media, Online Courses, Models
Sadeghi, Hamid; Kardan, Ahmad A. – Interactive Learning Environments, 2016
Group formation task as a starting point for computer-supported collaborative learning plays a key role in achieving pedagogical goals. Various approaches have been reported in the literature to address this problem, but none have offered an optimal solution. In this research, an online learning environment was modeled as a weighted undirected…
Descriptors: Foreign Countries, Cooperative Learning, Group Dynamics, Online Courses
Yang, Ya-Fei; Lee, Chien-I; Chang, Chih-Kai – Education for Information, 2016
Collaborative learning is an activity in which two or more students learn something together. Many studies have found that collaborative learning improve students' memory retention and motivation to learn. Peer Instruction (PI) is one of the most successful evidence-based collaborative learning methods. This article investigates issues of student…
Descriptors: Learning Motivation, Retention (Psychology), Computer Science Education, Programming
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Tiantong, Monchai; Teemuangsai, Sanit – International Education Studies, 2013
One of the benefits of using collaborative learning is enhancing learning achievement and increasing social skills, and the second benefits is as the more students work together in collaborative groups, the more they understand, retain, and feel better about themselves and their peers, moreover working together in a collaborative environment…
Descriptors: Foreign Countries, Cooperative Learning, Teamwork, Integrated Learning Systems
Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level