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Jihyun Rho; Martina A. Rau; Barry Van Veen – Journal of Engineering Education, 2025
Background: Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand…
Descriptors: Engineering Education, Undergraduate Students, Learning Processes, Learning Strategies
Rachelle Emily Rawlinson; Nicola Whitton – Electronic Journal of e-Learning, 2024
The increasingly neoliberal course of Higher Education is linked to rises in student anxiety around assessment and increased fear of the consequences of failure. Making mistakes is an inevitable part of any learning process (and of life generally) and managing failure in a productive and positive way is crucial for success and wellbeing beyond…
Descriptors: Educational Games, Play, Failure, Learning Processes
Trevion S. Henderson – Journal of Engineering Education, 2024
Background: Existing research points to the role of Eurocentric epistemic values - scientific objectivity, value-neutrality, depoliticization, and technical rationality - as a cornerstone of engineering ways of thinking, knowing, and doing. However, less is known about the role of Eurocentric epistemologies in team communication and decision…
Descriptors: Engineering Education, College Freshmen, Design, Cooperative Learning
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
Yinglin Liu; Rui Li; Yue Diao; Meixue Hou; Hua Yuan; Xiuying Zhang – Education and Information Technologies, 2025
Virtual reality (VR) technology has been widely used in nursing laboratory courses to effectively making up for the shortcomings of traditional teaching. However, challenges such as cell phone addiction, negative emotions, and reduced communication between teachers and students still exist during the application process, which makes it difficult…
Descriptors: Undergraduate Students, Learning Processes, Preferences, Nursing Students
Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
Msafiri Mgambi Msambwa; Zhang Wen; Kangwa Daniel – European Journal of Education, 2025
Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Cooperative Learning
Moström Åberg, Marie – Journal of Transformative Education, 2023
The need of being able to foster transformative learning (TL) has increased due to the demands for continuous development in today's work life. Previous research has proposed six core elements to foster TL; however, in these a process perspective is missing. By using an adaptive approach and inspired by action research, drawing on teachers'…
Descriptors: Transformative Learning, Context Effect, Prior Learning, Learning Theories
Xiu-Yi Wu – Education and Information Technologies, 2025
Blended collaborative learning has emerged as an effective pedagogical model that integrates face-to-face and online learning environments, offering a dynamic platform for deep learning--characterized by critical thinking, knowledge synthesis, and application. However, existing research offers mixed findings on how blended collaborative learning…
Descriptors: Blended Learning, Cooperative Learning, Learning Processes, Structural Equation Models
Lanqin Zheng; Lu Zhong; Yunchao Fan – Australasian Journal of Educational Technology, 2023
Online collaborative learning has been widely used in the field of education. However, unrelated or off-topic information is often included in online collaborative learning. Furthermore, the content of online discussion is often too shallow or narrow. To achieve productive collaborative learning, this study proposed and validated an automated…
Descriptors: Online Courses, Cooperative Learning, Computer Mediated Communication, College Students
Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Jinhee Kim; Rita Detrick; Seongryeong Yu; Yukyeong Song; Linda Bol; Na Li – Education and Information Technologies, 2025
Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Cooperative Learning
Acton, Renae – Higher Education: The International Journal of Higher Education Research, 2023
International education scholars often theorise alternative models of knowledge work in the university. These imagine the transformation of teaching and learning and a more inclusive society. This article presents the case of a university in Denmark, where problem-oriented, interdisciplinary, collaborative project work has been the pedagogic norm…
Descriptors: Problem Based Learning, Student Projects, College Students, Foreign Countries
Loes, Chad N.; An, Brian P. – Review of Higher Education, 2021
We examine the influence of collaborative learning on need for cognition among students from 17 institutions over four years of college. Net of a wide battery of potential confounding influences including precollege academic ability, race, and a pretest of the outcome measure, for example, we find collaborative learning is associated with gains in…
Descriptors: Cooperative Learning, Thinking Skills, Reflection, Cognitive Development