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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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Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
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Boussaha, Karima; Boussouf, Raouf Amir – International Journal of Virtual and Personal Learning Environments, 2022
Several researchers studied the impact of collaboration between the learners, but few studies have been carried out on the impact of collaboration between teachers. In the previous work, the authors have studied the impact of the collaboration among the learners with a specific collaborative CEHL(K. Boussaha et al.,2015). In this work, the authors…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Coaching (Performance), Intelligent Tutoring Systems
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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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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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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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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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Chun, Dorothy M.; Karimi, Honeiah; Sañosa, David Joshua – CALICO Journal, 2022
In line with the 2021 CALICO Conference theme "Global realities," we presented a plenary on how immersive virtual reality (IVR) could be used for second language learning by allowing learners to virtually travel around the globe via headset. The main affordances of virtual reality (VR) technology include immersing learners in an…
Descriptors: Second Language Learning, Second Language Instruction, Computer Software, Computer Assisted Instruction
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Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
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Schlegelmilch, Bodo B. – Journal of Marketing Education, 2020
Business education is undergoing paradigmatic changes, and business schools are feeling the brunt of these changes. This article proposes that "business as usual" is over for traditional business schools. Using Ohmae's 3Cs--customers, competitors, and company--as an analytical framework, I examine important changes from different vantage…
Descriptors: Business Schools, Business Administration Education, Educational Change, Competition
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Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko – Campus-Wide Information Systems, 2012
Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…
Descriptors: Expertise, Knowledge Management, Business Administration, Facilitators (Individuals)
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Vattam, Swaroop S.; Goel, Ashok K.; Rugaber, Spencer; Hmelo-Silver, Cindy E.; Jordan, Rebecca; Gray, Steven; Sinha, Suparna – Educational Technology & Society, 2011
Artificial intelligence research on creative design has led to Structure-Behavior-Function (SBF) models that emphasize functions as abstractions for organizing understanding of physical systems. Empirical studies on understanding complex systems suggest that novice understanding is shallow, typically focusing on their visible structures and…
Descriptors: Systems Approach, Middle School Students, Models, Science Instruction
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Tracey, Monica W. – Educational Technology Research and Development, 2009
This is a report of one case of a design and development research study that aimed to validate an overlay instructional design model incorporating the theory of multiple intelligences into instructional systems design. After design and expert review model validation, The Multiple Intelligence (MI) Design Model, used with an Instructional Systems…
Descriptors: Multiple Intelligences, Program Implementation, Models, Validity
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Mangina, E.; Kilbride, J. – Computers & Education, 2008
User modeling has been found to enhance the effectiveness and/or usability of software systems through the representation of certain properties of a particular user. This paper presents the research and the results of the development of a user modeling system for the implementation of student models within e-learning environments, utilizing vector…
Descriptors: Computer Software, Computer Assisted Instruction, Computer Interfaces, Models
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Self, John A. – Computers and Education, 1979
Summarizes the role of student models in computer assisted learning (CAL); lists difficulties preventing their widespread use in practical teaching systems; and describes problems, using a simple subtraction model, associated with the representation, content, creation, change, growth, execution, comparison, use for planning and monitoring, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Models, Problems
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