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Anna C. Brady; Christopher A. Wolters; Penny A. Pasque; Shirley L. Yu; Tzu-Jung Lin – Active Learning in Higher Education, 2025
This study aimed to identify and evaluate major processes college students engage in as they begin their active engagement in learning. Semi-structured interviews were conducted with 23 college students. Then, a grounded theory approach was used to identify the forethought processes students described. These processes included identifying goals,…
Descriptors: Active Learning, College Students, Independent Study, Learning Processes
Ramy Elmoazen; Mohammed Saqr; Laura Hirsto; Matti Tedre – International Journal of Computer-Supported Collaborative Learning, 2025
In collaborative learning, students may follow different trajectories that evolve over time. This study used a multilayered approach to map the temporal dynamics of online problem-based learning (PBL) and the transition of students' roles across time over a full year duration. Based on data from 135 dental students across four consecutive courses…
Descriptors: Cooperative Learning, Communities of Practice, Inquiry, Time Factors (Learning)
Youngmi Kim; Shinyu Oh; Tae-Young Kim – English Teaching, 2025
This study explored factors affecting variability in second language (L2) learning motivation among Korean university students and how they appraised their L2 learning experience. In this study, 85 undergraduate students majoring in English or English education from three universities in Seoul, South Korea, reflected on their past English learning…
Descriptors: Second Language Learning, Learning Motivation, Learning Experience, Foreign Countries
Wenrui Liang; Jianhui Li; Jiang Wei; Yang Min; Ashura Tim Zoi LAM – Journal of International Students, 2025
As China's higher education shifts toward connotative development, graduate education must prioritize quality enhancement and structural optimization. This study examines how interdisciplinary courses promote connotative development by integrating scaffolding theory and symbolic interaction theory, investigating their impact on cognitive growth…
Descriptors: Interdisciplinary Approach, Teaching Methods, Situated Learning, Foreign Countries
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
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
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
Trevion S. Henderson; Avis Carrero; Jessica O. Michel – Journal of Engineering Education, 2025
Background: Engineering students will be responsible for building new technologies that either mitigate or exacerbate future sustainability problems. Engineering educators are thus tasked with educating engineering students on the knowledge, attitudes, and behaviors that will make them change makers of the future. Purpose: The purpose of this…
Descriptors: College Students, Engineering Education, Learning Experience, Learning Processes
Nadav Ehrenfeld; Barbara Stengel – Journal of the Learning Sciences, 2025
Background: Attending and responding to when and where teachers are with respect to change--the temporal aspects of teacher learning--can yield more effective professional development (PD) efforts. Toward this end, we conceptualize phases of learning in a PD program, and how these phases are shaped by teacher learning ecologies. Methods:…
Descriptors: Teachers, Teacher Educators, Teacher Education, Learning Experience
Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
Ran Bao; Jianyong Chen – Technology, Knowledge and Learning, 2025
Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…
Descriptors: Learning Analytics, Data Use, Evaluation Methods, Learning Processes
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
Yiqiu Zhou; Jina Kang; Yeyu Wang; Muhammad Ashiq – Educational Technology Research and Development, 2025
The complex processes of collaborative knowledge construction require a multimodal approach to capture the interplay between learners, tools, and the environment. While existing studies have recognized the importance of considering multiple modalities, there remains a need for a comprehensive framework that explicitly models the dynamics of…
Descriptors: Cooperative Learning, Computer Simulation, Astronomy, Network Analysis
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
Jessica M. Karch; Nicolette M. Maggiore; Jennifer R. Pierre-Louis; Destiny Strange; Vesal Dini; Ira Caspari-Gnann – Science Education, 2024
Small group interactions and interactions with near-peer instructors such as learning assistants serve as fertile opportunities for student learning in undergraduate active learning classrooms. To understand what students take away from these interactions, we need to understand how and what they learn during the moment of their interaction. This…
Descriptors: Teaching Assistants, Interaction, Active Learning, Electronic Learning

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