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Caroline Marx; Stephanie Roesch; Korbinian Moeller; Christiane Benz – International Electronic Journal of Mathematics Education, 2025
Understanding part-whole relations is crucial in early mathematics education. However, both analogue and digital learning environments often lack systematic approaches to foster part-whole understanding. With the rising popularity of educational apps, it is essential to evaluate how they implement learning of part-whole relations. Accordingly,…
Descriptors: Mathematics Instruction, Computer Software, Teaching Methods, Computer Assisted Instruction
Elisabeth Baland; Lucía Pérez Jimenez; André Mateus – Biochemistry and Molecular Biology Education, 2025
The function of proteins is governed by their three-dimensional structure. This structure is determined by the chemical characteristics and atomic interactions of amino acids. Students of biochemistry, with a particular focus on protein chemistry, benefit from looking at protein structures and understanding how proteins are built and fold. Due to…
Descriptors: Molecular Structure, Visualization, Courseware, Scientific Concepts
Sebastian Straub; Isis Tunnigkeit; Julia Eberle; Arlind Avdullahu; Nikol Rummel – International Journal of Computer-Supported Collaborative Learning, 2025
A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…
Descriptors: Cooperative Learning, Interaction, Scripts, Computer Assisted Instruction
Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
Kerstin Huber; Maria Bannert – Journal of Computing in Higher Education, 2024
The empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining…
Descriptors: Learning Processes, Data Analysis, Navigation (Information Systems), Student Behavior
Kateryna Zabolotna; Liv Nøhr; Megumi Iwata; Daniel Spikol; Jonna Malmberg; Hanna Järvenoja – International Journal of Computer-Supported Collaborative Learning, 2025
Computer-supported collaborative learning (CSCL) offers a modern setting for learners to engage in meaningful (meta)cognitive and socioemotional interactions. However, the task design, not technology alone, significantly shapes students' learning interactions. This study investigates how a conceptual physics task and a hands-on robotics task…
Descriptors: Cooperative Learning, Task Analysis, Learning Processes, Secondary School Students
Kirk Vanacore; Ashish Gurung; Adam Sales; Neil Heffernan – Society for Research on Educational Effectiveness, 2024
Background: Gaming the system -- attempting to progress through a learning activity without learning (R. Baker et al., 2008) -- is an enduring problem that reduces the efficacy of Computer Based Learning Platforms (CBLPs). Researchers made substantial progress in identifying instances when students are gaming the system (Baker et al., 2006; Dang…
Descriptors: Gamification, Program Effectiveness, Computer Assisted Instruction, Feedback (Response)
Matt Finch; Niamh Ní Bhroin; Steffen Krüger – Prospects, 2024
In times of turbulence, uncertainty, novelty, and ambiguity--the so-called TUNA conditions--our experience of the past may prove a poor guide to the future times in which our decisions and their consequences will unfold. Under such conditions, the manufacture of scenarios that are plausible future contexts for a given issue and are designed to…
Descriptors: Educational Trends, Futures (of Society), Vignettes, Foreign Countries
Rotem Abdu; Sofia Tancredi; Dor Abrahamson; Ramesh Balasubramaniam – Educational Studies in Mathematics, 2025
This paper combines recent developments in theories of knowledge (complex dynamic systems), technologies (embodied interactions), and research tools (multimodal data collection and analysis) to offer new insights into how conceptual mathematical understanding can emerge. A complex dynamic system view models mathematics learning in terms of a…
Descriptors: Mathematical Concepts, Mathematics Skills, Eye Movements, Coordination
Camille Dickson-Deane; Patricia Grant; Dauran McNeil – Distance Learning, 2024
Recognizing that online teaching and learning is placed within an environment where neither the teacher nor the student has complete-control is the first step to actioning capabilities towards a humanized environment. The tool that is typically used in higher education, the learning management system (LMS), has a design that constrains learning…
Descriptors: Learning Management Systems, Empathy, Personal Autonomy, Electronic Learning
Susana Claro; Macarena Santana; Tomás Ossandon; Sebastián Cea; José de Amesti; Daniela Santander; Mauricio Huerta – European Journal of Psychology of Education, 2024
Computer-based interventions that aim to help students endorse a growth mindset have been designed and tested in high-income countries for a number of years. However, there is no evidence of their effectiveness in middle-income nations. In those studies, students' growth mindset has traditionally been measured using surveys where students report…
Descriptors: Foreign Countries, Developing Nations, Secondary School Students, Grade 9
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
Patricia Domínguez-Gómez; Flavio Celis d’Amico – Informatics in Education, 2024
The creative programming language Processing can be used as a generative architectural design tool, which allows the designer to write design instructions (algorithms) and compute them, obtaining graphical outputs of great interest. This contribution addresses the inclusion of this language in the architecture curriculum, within the context of…
Descriptors: Undergraduate Students, Architectural Education, Architecture, Courseware
Wu, Ting-Ting; Lee, Hsin-Yu; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – International Journal of Educational Technology in Higher Education, 2023
In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present a solution to this issue with the Real-time Automated STEM Engagement Detection System (RASEDS). This innovative system capitalizes…
Descriptors: STEM Education, Learner Engagement, Self Efficacy, Problem Solving

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