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Yuting Deng; Yanling Zhang; Ruibin Zhao – Education and Information Technologies, 2025
Computer simulation technology and virtual reality technology have gained considerable attention in the field of education due to their potential to create various 3D interactive learning environments, typically including simulated learning environments and immersive learning environments. To gain a deeper understanding of students' learning…
Descriptors: Computer Uses in Education, Computer Simulation, Assistive Technology, Computer Peripherals
Hasan Hamid; Karman La Nani; Dahlan Wahyudi; Sitti Busyrah Muchsin; Mustafa A.H. Ruhama – Educational Process: International Journal, 2025
Background/purpose: This research is motivated by the difficulties often experienced by students in adapting to their first year of college, especially related to learning calculus. To address these difficulties, a solution needs to be found so that these problems can be resolved. One solution that is expected to yield optimal results in…
Descriptors: College Mathematics, Mathematics Education, College Freshmen, Mathematics Skills
Yanqing Wang; Shaoying Gong; Ning Jia; Ying Liu – Journal of Computer Assisted Learning, 2025
Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…
Descriptors: Metacognition, Prompting, Electronic Learning, Computer Uses in Education
Julius Ceasar Hortelano; Maricar Prudente – Journal of Pedagogical Research, 2024
Conceptualized in France during the sixties, the Theory of Didactical Situations [TDS] is a pivotal framework for developing mathematics teaching and learning processes. Despite the increasing qualitative studies over the last ten years, there remains a dearth of analysis of its effects on mathematics education. Through a Grounded Formal Theory…
Descriptors: Didacticism, Mathematics Instruction, Mathematics Education, Learning Processes
Reynald M. Cacho – Online Learning, 2024
The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…
Descriptors: Artificial Intelligence, College Instruction, Learning Processes, Guidelines
Han Zhang; Yilang Peng – Sociological Methods & Research, 2024
Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…
Descriptors: Social Science Research, Visual Aids, Visual Learning, Cluster Grouping
Corinna S. Martarelli; Josua Dubach; Natalie Schelleis; Trix Cacchione; Sebastian Tempelmann – Educational Technology Research and Development, 2025
Virtual reality (VR) can provide access to otherwise inaccessible aspects of the world and thus promote science learning. We developed a VR learning tool about the water cycle, with 11 lessons for classroom teaching at the primary level. We assessed prior knowledge before a four-week intervention and learning outcomes directly after the…
Descriptors: Computer Simulation, Elementary School Science, Science Education, Water
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Glogger-Frey, Inga; Treier, Anne-Katrin; Renkl, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2022
A worked-out or an open inventing problem with contrasting cases can prepare learners for learning from subsequent instruction differently regarding motivation and cognition. In addition, such activities potentially initiate different learning processes during the subsequent ("future") learning phase. In this experiment (N = 45…
Descriptors: Preservice Teachers, Motivation, Learning Processes, Learning Strategies
Amanda M. Rosen; Lisa Kerr – Journal of Political Science Education, 2024
To what extent does educational gaming add value to more traditional instructional models in learning core concepts of national security and warfighting? This paper presents the results from a quasi-experimental, cross-sectional, and longitudinal study of students taking two standardized courses in the Joint Military Operations department at the…
Descriptors: Educational Games, Learning Processes, Student Attitudes, National Security
Qing Yu; Bao-min Li; Qi-yun Wang – Interactive Learning Environments, 2024
In recent years, 3D holographic technology (3DHT) has attracted more and more attention from the field of education, bringing new opportunities to reform the delivery of instruction and learning. Whether the application of 3D holographic technology can effectively improve student learning performance has become a pendent issue. In this study, a…
Descriptors: Visual Aids, Technology, Learning Processes, Meta Analysis
Soojeong Jeong; Justin Rague; Kaylee Litson; David F. Feldon; M. Jeannette Lawler; Kenneth Plummer – Education and Information Technologies, 2025
DBL is a novel pedagogical approach intended to improve students' conditional knowledge and problem-solving skills by exposing them to a sequence of branching learning decisions. The DBL software provided students with ample opportunities to engage in the expert decision-making processes involved in complex problem-solving and to receive…
Descriptors: Decision Making, Learning Processes, Introductory Courses, Science Education
Buditjahjanto, I. Gusti Putu Asto – Journal of Technology and Science Education, 2022
The use of simulation tools has been widely used to learn something. Simulation tools have the advantage of imitating a process similar to the actual situation. But there are only a few researches that examine the students' engagement in using simulation tools in the learning process so that it affects the student learning outcomes. This research…
Descriptors: Computer Interfaces, Computer Simulation, Computer Uses in Education, Electronic Learning
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Sarah Prestridge; Seng Chee Tan; Michele Jacobsen; H. Ulrich Hoppe; Charoula Angeli; Marcelo Milrad; Shesha Kanta Pangeni; Eugenia Kovatcheva; Ayoub Kafyulilo; Brendan Flanagan; Ferial Khaddage – Technology, Knowledge and Learning, 2024
This article originated from a working group on "Learning beyond formal schooling through human--computer--human interaction (HCHI)" convened at the UNESCO EDUSummIT 2023 in Kyoto (Japan). A polylogue approach was adopted by engaging eight co-authors whose diverse perspectives culminated in propositions that addressed the pivotal…
Descriptors: Foreign Countries, Informal Education, Nonformal Education, Computer Mediated Communication
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