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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
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)
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
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
Alshammari, Sultan Hammad – International Journal of Education in Mathematics, Science and Technology, 2023
Technology-enhanced learning (TEL) is the use of a computer or other technology which provides education courses or training for students, such as online courses, off-line content, or mixed-mode delivery. The current study aims at developing a model to examine the effect of resource availability and students' subject interest on students'…
Descriptors: Foreign Countries, College Students, Computer Assisted Instruction, Educational Technology
Zainil, Melva; Kenedi, Ary Kiswanto; Rahmatina; Indrawati, Tin; Handrianto, Ciptro – Journal of Education and e-Learning Research, 2023
The aim of the current research is to develop a STEM-based digital classroom learning model based on the 21st-century skills and characteristics of elementary school students. To enable the dissemination of this learning model, further research is needed to determine the effect of the STEM-based digital classroom learning model on the 21st century…
Descriptors: Foreign Countries, Elementary School Students, STEM Education, Learning
Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
Abdi, Solmaz; Khosravi, Hassan; Sadiq, Shazia; Gasevic, Dragan – International Educational Data Mining Society, 2019
The Elo rating system has been recognised as an effective method for modelling students and items within adaptive educational systems. The existing Elo-based models have the limiting assumption that items are only tagged with a single concept and are mainly studied in the context of adaptive testing systems. In this paper, we introduce a…
Descriptors: Models, Foreign Countries, College Students, Multivariate Analysis
Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
Chimmalee, Benjamas; Anupan, Anuchit – International Journal of Instruction, 2022
Problem-solving is considered as an important skill for learning Mathematics. Integration of cloud technology into Model-Eliciting Activities (MEAs) has been considered as an instructional approach to study students' mathematical problem-solving abilities. The purposes of this study were to evaluate the suitability of the MEAs using cloud…
Descriptors: Models, Computer Software, Mathematics Instruction, Problem Solving
Yizhuo Zhou; Xuande Wu; Kunyang Qu – Language Teaching Research Quarterly, 2024
Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Amir Reza Rahimi – Computer Assisted Language Learning, 2025
A research study on the L2 Motivational Self-systems (L2MSS) and technology acceptance of Foreign Language Learners (EFL) in relation to Language Massive Open Online Courses (LMOOCs) is warranted. In response, 336 Iranian EFL learners participated in three LMOOC platforms, learned language online in line with their language institutes, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, MOOCs
Sutoyo, Suyatno; Agustini, Rudiana; Fikriyati, Amiq – Pegem Journal of Education and Instruction, 2023
Currently critical thinking skills is becoming an important education issue to overcome the challanges of industrial revolution 4.0. Previous studies reported that the pre-service teachers' critical thinking dispositions and skills were still low, therefore, both aspects of critical thinking should be improved through learning activities in higher…
Descriptors: Critical Thinking, Thinking Skills, Preservice Teachers, Teacher Education Programs
Süleyman Emre Aktas; Çaglar Naci Hidiroglu – Journal of Pedagogical Research, 2024
The study aims to investigate prospective middle school mathematics teachers' mental actions related to debugging, which is one of the computational thinking skills in the modeling process. The study was conducted with a single-case embedded model. The collaborative working group consisted of three prospective mathematics teachers selected by…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematical Models, Mathematics Instruction