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Technology Related Assistance…1
Showing 1 to 15 of 963 results Save | Export
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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
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Liping Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
In the evolving landscape of vocal pedagogy, ttehe integration of computer-assisted technologies represents a transformative shift from traditional master-apprentice models. This study investigates the efficacy of computer-assisted vocal training methods compared to conventional approaches, focusing on improvements in pitch accuracy, vocal range…
Descriptors: Computer Assisted Instruction, Singing, Music Education, Educational Technology
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Liu Liu; Yue Chen; Yubin Cao; Lei Yang; Yiyan Yang; Yantong Li; Dingming Huang; Ling Ye; Qinghua Zheng – Anatomical Sciences Education, 2025
Anatomy forms the foundation for the training and execution of routine surgical procedures. However, a gap persists in effectively bridging anatomical knowledge with the confident performance of procedures. Virtual simulation (VS) techniques, based on experiential and situated learning theory, hold promise in addressing this challenge.…
Descriptors: Anatomy, Surgery, Medical Education, Computer Simulation
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Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development
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Micah Watanabe; Megan Imundo; Katerina Christhilf; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2024
Reading comprehension is essential for students' ability to build knowledge. Students' comprehension abilities can be enhanced by providing students with deliberate practice and formative feedback on reading comprehension strategies. iSTART is an Intelligent Tutoring System (ITS) that is designed to provide instruction in reading strategies with…
Descriptors: Reading Comprehension, Reading Strategies, Intelligent Tutoring Systems, Reading Instruction
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Rebekah M. Chiasson; Alan K. Goodboy; Megan A. Vendemia; Nathaniel Beer; Gracyn C. Meisz; Laken Cooper; Alyssa Arnold; Austin Lincoski; William George; Cole Zuckerman; Jessica Schrout – Communication Education, 2024
Three within-subject experiments were conducted by providing students with answers to content questions across different subject matters (a definition, explanation, and example) offered by a human professor (subject-matter expert) versus generative artificial intelligence (ChatGPT). In a randomized order, students read both the expert and…
Descriptors: College Faculty, Expertise, Artificial Intelligence, Man Machine Systems
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Syeada Imam Hossain; Joshua Kelson; Ben Morrison – Australasian Journal of Educational Technology, 2024
Virtual patient (VP) simulations can offer educational benefits in healthcare disciplines by supplementing traditional training approaches and enabling the acquisition of clinically relevant skills and knowledge. Although the existing body of literature covers VP usage in healthcare professions such as medicine and nursing, there are no current…
Descriptors: Psychology, Psychologists, Graduate Students, Clinical Teaching (Health Professions)
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Asef, Pedram; Kalyvas, Christos – IEEE Transactions on Education, 2022
One-dimensional (1-D) demonstrations, e.g., the black-box systems, have become popular in teaching materials for engineering modules due to the high complexity of the system's multidimensional (e.g., 2-D and 3-D) identities. The need for multidimensional explanations on how multiphysics equations and systems work is vital for engineering students,…
Descriptors: Computer Assisted Instruction, Cartoons, Engineering Education, Teaching Methods
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Ruiqi Deng; Yi Yang; Suqin Shen – Education and Information Technologies, 2025
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through instructional videos. However, research has not directly addressed the crucial question of whether the beneficial effects of interactive questions in instructional videos are attributable to the presence of…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Questioning Techniques
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Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
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Colliot, Tiphaine; Kiewra, Kenneth A.; Luo, Linlin; Flanigan, Abraham E.; Lu, Junrong; Kennedy, Carrie; Black, Sheldon – Education and Information Technologies, 2022
The purpose of this study was to determine how graphic organizer completeness (complete, partial, or no organizer) and note-taking medium (longhand or computer) affect note-taking quantity and quality and affect computer-based learning. College students were presented with a computer-based PowerPoint lesson accompanied by complete, partial, or no…
Descriptors: Instructional Materials, Notetaking, Computer Assisted Instruction, Electronic Learning
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Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
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Zhang, Yanhui; MacWhinney, Brian – Smart Learning Environments, 2023
As hypothesized by the unified competition model (MacWhinney, 2007, 2017, 2021), optimizing training schemes can enhance second language (L2) learning by fostering various protective factors. Under such a framework, the current study focuses on how the familiarity of stimuli will affect learning Chinese phonetic skills in a computer-assisted…
Descriptors: Novelty (Stimulus Dimension), Second Language Learning, Chinese, Phonetics
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Qi Wang; Shengquan Yu; Xiaofeng Wang – Journal of Educational Computing Research, 2024
Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…
Descriptors: Second Language Learning, Chinese, College Students, Online Systems
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Alberto Grájeda; Johnny Burgos; Pamela Córdova; Alberto Sanjinés – Cogent Education, 2024
This study aims to assess the adoption and impact of Artificial Intelligence (A.I.) tools in higher education, focusing on a private university in Latin America. Guided by the question, "What is the impact, as perceived by university students, of using Artificial Intelligence tools on various dimensions of learning and teaching within the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
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