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Suijing Yang; Jason M. Lodge; Cameron Brooks – Metacognition and Learning, 2025
Previous studies have reported the importance of regulation in collaborative learning. To understand and support students' learning, researchers have identified that regulation in collaboration emerges as a series of contingent activities at individual and social levels, addressing various learning foci in cognitive, motivational, emotional, and…
Descriptors: Metacognition, Cooperative Learning, Self Control, Learning Processes
Yoonhee Shin; Jaewon Jung; Seohyun Choi; Bokmoon Jung – Education and Information Technologies, 2025
This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…
Descriptors: Scaffolding (Teaching Technique), Mental Computation, Cognitive Processes, Difficulty Level
Yuqin Yang; Xueqi Feng; Gaoxia Zhu; Kui Xie – Journal of Computer Assisted Learning, 2024
Background: Undergraduates' collective epistemic agency is critical for their productive collaborative inquiry and knowledge building (KB). However, fostering undergraduates' collective epistemic agency is challenging. Studies have demonstrated the potential of computer-supported collaborative inquiry approaches, such as KB--the focus of this…
Descriptors: Undergraduate Students, Cooperative Learning, Epistemology, Inquiry
Nance S. Wilson; Tess Dussling; Brittany Adams; Elizabeth Stevens; Jennie Baumann; Shuling Yang; Linda Smetana; Jane Bean-Folkes; Ann Van Wig – Literacy, 2024
This article presents the results of a multi-site study conducted by nine graduate educators in the United States investigating how reading comprehension might be supported by social annotation. This research examines collaborative learning and group construction of knowledge that took place in six classrooms across a university semester. The…
Descriptors: Metacognition, Reading Comprehension, Learning Processes, Graduate Students
Belle Dang; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2024
Socially shared regulation in learning (SSRL) contributes to successful collaborative learning (CL). Empirical research into SSRL has received considerable attention recently, with increasingly available multimodal data, advanced learning analytics (LA), and artificial intelligence (AI) providing promising research avenues. Yet, integrating these…
Descriptors: Learning Analytics, Cooperative Learning, Artificial Intelligence, Epistemology
Esmat Shamsi; Hossein Bozorgian – Asian-Pacific Journal of Second and Foreign Language Education, 2024
Multimedia is vastly used as authentic and available input in second and foreign-language contexts. To deal with the difficulties and complexities of comprehending these authentic materials, collaborative learning through metacognitive instruction helps develop learners' listening comprehension. The present study has mainly explored the role of…
Descriptors: Multimedia Instruction, English (Second Language), Second Language Learning, Cooperative Learning
Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study
Kaytlin Gomez; Chad Curtis – Scholarship and Practice of Undergraduate Research, 2024
Undergraduate research experiences are a documented high-impact practice affecting student learning, attitudes, and career outcomes. However, many of these reported benefits are associated with longer-term research experiences. This study pilots the use of a small group metacognition activity in a 10-week summer undergraduate research program. It…
Descriptors: Undergraduate Students, Student Research, Summer Programs, Feedback (Response)
Xing, Wanli; Zhu, Gaoxia; Arslan, Okan; Shim, Jaesub; Popov, Vitaliy – Journal of Computing in Higher Education, 2023
Engagement is critical in learning, including computer-supported collaborative learning (CSCL). Previous studies have mainly measured engagement using students' self-reports which usually do not capture the learning process or the interactions between group members. Therefore, researchers advocated developing new and innovative engagement…
Descriptors: Learning Analytics, Cooperative Learning, Learner Engagement, Learning Motivation
Haataja, Eetu; Malmberg, Jonna; Dindar, Muhterem; Järvelä, Sanna – Metacognition and Learning, 2022
Being aware of the progress towards one's goals is considered one of the main characteristics of the self-regulation process. This is also the case for collaborative problem solving, which invites group members to metacognitively monitor the progress with their goals and externalize it in social interactions while solving a problem. Monitoring…
Descriptors: Cooperative Learning, Problem Solving, Metacognition, Physiology
Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
Tang, Hengtao; Arslan, Okan; Xing, Wanli; Kamali-Arslantas, Tugba – Journal of Computing in Higher Education, 2023
Socially shared metacognition is important for effective collaborative problem solving in virtual laboratory settings, A holistic account of socially shared metacognition in virtual laboratory settings is needed to advance our understanding, but previous studies have only focused on the isolated effect of each dimension on problem solving. This…
Descriptors: Cooperation, Problem Solving, Laboratories, Metacognition
Stepter McKay, Alyssa R.; Buschlen, Eric; Patrick, Kaleb; Marshall, Sarah – Journal of Leadership Education, 2023
Case studies continue to be a signature teaching tool for developing leadership educators in a classroom setting. However, many of these cases tend to be generic and may limit student learning. In order to maximize the learning potential of case studies, we advocate for the use of peer-authored, real-to-life case studies written from a first-hand…
Descriptors: Case Studies, Metacognition, Graduate Students, Doctoral Students
Melis Örnekoglu-Selçuk; Marina Emmanouil; Deniz Hasirci; Marianthi Grizioti; Lieva Van Langenhove – International Journal of Art & Design Education, 2024
The state-of-the-art literature indicates an increasing need for co-design education as it is imperative to equip future designers with the co-designing mindset. This derives from the significance of involving 'people with lived experience' in co-design processes to better meet their needs. However, the traditional design education system seems to…
Descriptors: Design, Learning Experience, Barriers, Workshops
Liu, Cheng-Ye; Li, Wei; Huang, Ji-Yi; Lei, Lu-Yuan; Zhang, Pei-Rou – Journal of Computer Assisted Learning, 2023
Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially…
Descriptors: Cooperative Learning, Programming, Academic Achievement, Metacognition
Vorhölter, Katrin – Mathematical Thinking and Learning: An International Journal, 2023
There are several conceptualizations of modeling competencies, including among others on the one hand so-called sub-competencies, which are required to progress from one step of a modeling process to the next, and metacognitive individual and group strategies. However, the relationship between metacognitive strategies and modeling sub-competencies…
Descriptors: Metacognition, Mathematical Models, Learning Strategies, Cooperative Learning