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Adelina Asmawi; Md. Saiful Alam – Discover Education, 2025
In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…
Descriptors: Reading Instruction, Teaching Methods, Computer Assisted Instruction, Instructional Effectiveness
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Yang, Xigui – TechTrends: Linking Research and Practice to Improve Learning, 2023
Collaborative learning and cooperative learning are two separate approaches developed independently by two groups of scholars around the same period of time in the 1960 and 1970s. Due to their different origins and intertwined paths of development, they have their own distinct features while sharing many similarities. The relationship between…
Descriptors: Cooperative Learning, Educational History, Group Dynamics, Teaching Methods
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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
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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
Kimberly N. Carroll Steward – ProQuest LLC, 2022
Global climate change (GCC) presents unprecedented global concerns, notably food supply limitations, unsustainable use of natural resources, and widespread environmental degradation. The International Panel on Climate Change (IPCC) reports a 0.85 °C increase in global average temperatures between 1880 and 2018 and a 50% increase in global carbon…
Descriptors: Climate, Models, Teaching Methods, Secondary School Science
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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
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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
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Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
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Kuroki, Masanori – Journal of Economic Education, 2023
As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…
Descriptors: Statistics Education, Teaching Methods, Competition, Prediction
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Xin, Yan Ping; Kim, Soo Jung; Lei, Qingli; Liu, Bing Yu; Wei, Shuang; Kastberg, Signe E.; Chen, Yingjie Victor – Journal of Special Education, 2023
The U.S. Nation's Report Card reveals that lower performing students exhibited greater achievement decline than their average/high performing peers based on 2022 long-term trend mathematics assessments for age 9 students. Technology, including computer-assisted instruction, plays an important role in today's dynamic learning environments.…
Descriptors: Problem Solving, Models, Teaching Methods, Mathematics Achievement
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Made Aryawan Adijaya; I. Ketut Armawan; Maria Goreti Rini Kristiantari – International Journal of Language Education, 2023
Learning activities need to facilitate vocational students in learning independently. It certainly has an impact on students' low understanding and skills. This research aims to develop Mobile-Assisted Language Learning (MALL) for Vocational Education. This type of research is development research. The development model used is the ADDIE model.…
Descriptors: Vocational Education, Computer Assisted Instruction, Telecommunications, Handheld Devices
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Jiang, Bo; Wu, Simin; Yin, Chengjiu; Zhang, Haifeng – IEEE Transactions on Learning Technologies, 2020
Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing…
Descriptors: Programming, Computer Assisted Instruction, Problem Solving, Task Analysis
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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
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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
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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