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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, 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
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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
Cengiz Zopluoglu; Gerald Tindal – Behavioral Research and Teaching, 2023
WriteRightNow (https://writerightnow.com) is an innovative digital platform meticulously crafted to enhance writing instruction across various curricula. Central to its design is the customization of instructional content, allowing for a multi-faceted approach that caters to diverse student needs, including those with special educational…
Descriptors: Automation, Grading, Educational Technology, Technology Uses in Education
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Pavlik, Philip; Eglington, Luke; Harrell-Williams, Leigh – IEEE Transactions on Learning Technologies, 2021
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…
Descriptors: Technology Uses in Education, Educational Technology, Models, Computer Assisted Instruction
Pavlik, Philip I., Jr.; Eglington, Luke G.; Harrell-Williams, Leigh M. – Grantee Submission, 2021
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…
Descriptors: Technology Uses in Education, Educational Technology, Models, Computer Assisted Instruction
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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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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
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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
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Gouseti, Anastasia; Abbott, Daisy; Burden, Kevin; Jeffrey, Stuart – Technology, Pedagogy and Education, 2020
This paper explores how a legacy digital artefact can be adopted within formal education settings and looks at the pedagogical and other opportunities created by its use within three primary and secondary classrooms in the UK. Through a comparative case study, the paper investigates the potential of using a virtual 3D model of the 1938 British…
Descriptors: Teaching Methods, Technology Integration, Elementary Secondary Education, Case Studies
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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
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Fujiwara, Yujiro – Technology and Engineering Teacher, 2018
While many students may struggle to make sense of a mathematical formula and its practical implications, they can benefit greatly from an intuitive visualization and the engineering application of the topic. Effective STEM programs create clear connections at least with two subject areas, which translates into an enhanced student learning…
Descriptors: STEM Education, Computer Assisted Instruction, Models, Computer Peripherals
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Sun, Susan Y. H. – Computer Assisted Language Learning, 2017
This exploratory review brings together research that investigates computer-assisted language learning (CALL), and research in the field of learning design, paying particular attention to the theoretical frameworks and approaches of "design for learning." The attempts of connecting the two fields stem from two critical foci and…
Descriptors: Computer Assisted Instruction, Second Language Learning, Models, Instructional Design
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Sinclair, Nathalie; Chorney, Sean; Günes, Canan; Bakos, Sandy – ZDM: Mathematics Education, 2020
Many studies have documented the challenges facing teachers who use digital technologies in their classrooms. This is especially true for digital technologies that offer new models or representations of school mathematics concepts. In this article, we report on a collaboration between teachers and researchers around the use of a novel touchscreen…
Descriptors: Computer Oriented Programs, Educational Technology, Computer Assisted Instruction, Mathematics Instruction
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Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
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