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Waight, Noemi; Liu, Xiufeng; Whitford, Melinda – Research in Science Education, 2023
This study examined high school chemistry students' understandings of big ideas--matter and energy, how these understandings are related to macro and submicro representations and fine-grained distinguishing characteristics of students' explanations. The study was conducted in the context of computer-based models and model-based assessments.…
Descriptors: Chemistry, Scientific Concepts, Computer Assisted Instruction, Models
Geetika Ail; Frances Freer; Chui Shan Chan; Melissa Jones; John Broad; Gian Paulo Canale; Pedro Elston; Jessica Leeney; Paula Vickerton – Anatomical Sciences Education, 2024
Immersive virtual reality (i-VR) is a powerful tool that can be used to explore virtual models in three dimensions. It could therefore be a valuable tool to supplement anatomical teaching by providing opportunities to explore spatial anatomical relationships in a virtual environment. However, there is a lack of consensus in the literature as to…
Descriptors: Computer Simulation, Models, Anatomy, Premedical Students
Ignacio Villagran; Rocio Hernandez; Gregory Schuit; Andres Neyem; Javiera Fuentes-Cimma; Constanza Miranda; Isabel Hilliger; Valentina Duran; Gabriel Escalona; Julian Varas – IEEE Transactions on Learning Technologies, 2024
This article presents a controlled case study focused on implementing and using generative artificial intelligence, specifically large language models (LLMs), in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into…
Descriptors: Artificial Intelligence, Physical Therapy, Technology Uses in Education, Case Studies
Enhancing Procedural Writing through Personalized Example Retrieval: A Case Study on Cooking Recipes
Paola Mejia-Domenzain; Jibril Frej; Seyed Parsa Neshaei; Luca Mouchel; Tanya Nazaretsky; Thiemo Wambsganss; Antoine Bosselut; Tanja Käser – International Journal of Artificial Intelligence in Education, 2025
Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input or prior knowledge. Consequently, some learners struggle to grasp or relate to the feedback,…
Descriptors: Writing Instruction, Academic Language, Content Area Writing, Cooking Instruction
Zheng, Lanqin; Niu, Jiayu; Zhong, Lu – British Journal of Educational Technology, 2022
Learning analytics (LA) has been widely adopted in research on education. However, most studies in the area have conducted LA after computer-supported collaborative learning (CSCL) activities rather than during CSCL. To address this problem, this study proposed a LA-based real-time feedback approach based on a deep neural network model to improve…
Descriptors: Learning Analytics, Feedback (Response), Outcomes of Education, Cooperative Learning
Kim, Jinhee; Lee, Kate Sang-Soog – Asia Pacific Journal of Education, 2022
For scaling up pedagogical innovation with information and communications technology (ICT), governments around the world put a concerted effort into teachers' acceptance of ICTs and the actual use of ICTs for instruction, yet there is limited literature about the conceptual framework of teachers accepting the ICTs and their usage for instruction…
Descriptors: Foreign Countries, Computer Assisted Instruction, Secondary School Teachers, Adoption (Ideas)
Zhang, Shunan; Che, ShaoPeng; Nan, Dongyan; Li, Yincen; Kim, Jang Hyun – Education and Information Technologies, 2023
Considering the importance of group member familiarity in collaborative learning in classroom learning environments, this study examined the impact of group member familiarity on CSCL (computer-supported collaborative learning) in a networked setting. Also, the differences between CSCL in the online environments and FtF (face-to-face)…
Descriptors: Group Dynamics, Familiarity, Cooperative Learning, Computer Assisted Instruction
Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
Wenli Chen; Si Zhang; Zhongling Pi; Jesmine S. H. Tan; Yun Wen; Chee-Kit Looi; Jennifer Yeo; Qingtang Liu – Technology, Pedagogy and Education, 2024
This study investigates the role of a collaboration script, the Funnel Model, in supporting students' computer-supported collaborative scientific argumentation, and how the students appropriated the collaboration script in scientific argumentation. In this exploratory case study, a class of 33 Secondary grade four students went through four phases…
Descriptors: Cooperative Learning, Scripts, Computer Assisted Instruction, Persuasive Discourse
Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
Wang, Ya-Joe; Lee, Silvia Wen-Yu; Liu, Chen-Chung; Lin, Pai-Chuan; Wen, Cai-Ting – Journal of Science Education and Technology, 2021
The purpose of this study was to understand how students engage in computer-supported modeling-based activities (CSMBAs), and the relationship between their engagement and their modeling competence. Different facets of learning engagement were measured through multiple data, including performance on modeling tasks, self-reported level of…
Descriptors: Learner Engagement, Models, Competence, Computer Assisted Instruction
Beach, Isidora R.; D'Agostino, Erin N.; Thakrar, Raj; Lunardini, David J. – Anatomical Sciences Education, 2023
Ongoing research has attempted to discern the optimal way to teach surgical anatomy. This study investigated the relative effectiveness of drawing and clay modeling on learning spinal anatomy among medical students. Participants were recruited from a first-year medical school class to participate in an optional educational session in their regular…
Descriptors: Anatomy, Medical Education, Surgery, Teaching Methods
Chen, Wenli; Tan, Jesmine S. H.; Pi, Zhongling – International Journal of Computer-Supported Collaborative Learning, 2021
While there are many studies on students' collaborative learning at the small group level, pedagogies and strategies for supporting students' collaborative learning at the class level are underexplored. This study proposes a pedagogical model named the Spiral Model of Collaborative Knowledge Improvement (SMCKI) to inform the design and…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Technological Literacy, Pedagogical Content Knowledge
Yahaya, Jamaiah; Fadzli, Sazrol; Deraman, Aziz; Yahaya, Noor Zaitun; Halim, Lilia; Rais, Izhar Abadi Ibrahim; Ibrahim, Siti Rohana Ahmad – Education and Information Technologies, 2022
Pollution from quarry activities has a substantial environmental impact on many countries. This issue should be addressed accordingly as its impact may introduce various health-related problems to the surrounding community. One alternative is to increase awareness for the younger generation and society at large. However, environmental data…
Descriptors: STEM Education, Models, Computer Assisted Instruction, Environmental Education
Rui Guo – International Journal of Web-Based Learning and Teaching Technologies, 2024
To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and…
Descriptors: Artificial Intelligence, Information Technology, Physical Education, Teaching Methods