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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Chen, Wenli; Tan, Jesmine S. H.; Pi, Zhongling – International Journal of Computer-Supported Collaborative Learning, 2021
While there are many studies on students' collaborative learning at the small group level, pedagogies and strategies for supporting students' collaborative learning at the class level are underexplored. This study proposes a pedagogical model named the Spiral Model of Collaborative Knowledge Improvement (SMCKI) to inform the design and…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Technological Literacy, Pedagogical Content Knowledge
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Jamshidifarsani, Hossein; Tamayo-Serrano, Paul; Garbaya, Samir; Lim, Theodore – Journal of Computer Assisted Learning, 2021
Training design for automatic skills has a vast domain of application, such as education, physical and cognitive rehabilitation, as well as sports, arts and professional training. Gamification concept used in technology-assisted training has the potential to increase motivation, engagement and adherence to the training programme. Currently, the…
Descriptors: Game Based Learning, Models, Computer Assisted Instruction, Task Analysis
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Kaye, Thomas; Ehren, Melanie – International Journal of Education and Development using Information and Communication Technology, 2021
Learning outcomes in low- and lower-middle-income countries (LMICs) require significant improvement. With traditional reform efforts taking many years to realise results, education practitioners in LMICs are searching for innovative ways to rapidly strengthen learning outcomes. One tool showing promise is computer-assisted instruction (CAI). While…
Descriptors: Computer Assisted Instruction, Teaching Methods, Intervention, Outcomes of Education
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Hutchins, Nicole M.; Biswas, Gautam; Zhang, Ningyu; Snyder, Caitlin; Lédeczi, Ákos; Maróti, Miklós – International Journal of Artificial Intelligence in Education, 2020
Driven by our technologically advanced workplaces and the surge in demand for proficiency in the computing disciplines, it is becoming imperative to provide computational thinking (CT) opportunities to all students. One approach for making computing accessible and relevant to learning and problem-solving in K-12 environments is to integrate it…
Descriptors: Computer Assisted Instruction, Problem Solving, Computation, Thinking Skills
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Iwasaki, Patsy Y. – IAFOR Journal of Education, 2021
Information about the overall documentary filmmaking process is available; however, there is a lack of literature and educational resources about how to conduct subject research and data collection. As documentary filmmaking becomes an increasingly democratic endeavor due to technology, and information distribution and education use increases,…
Descriptors: Film Study, Documentaries, Computer Assisted Instruction, Teaching Methods
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Alzahrani, Saad – Journal of Interactive Learning Research, 2021
This article presents a systematic instructional design procedure to develop a Computer-Assisted Vocabulary Acquisition (CAVA) software in a consistent and reliable way. The design process involves ADDIE fundamental elements: Analyse, Design, Development, Implementation, and Evaluation. This article will describe in detail each of the five ADDIE…
Descriptors: Computer Assisted Instruction, Instructional Design, Teaching Methods, Vocabulary Development
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Marek, Michael W. – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This article proposes a Standard Model of CALL, i.e., a compilation of fundamental theories and practices that should always be considered when creating an instructional design for the Computer Assisted Language Learning (CALL). This proposed model is inspired by the standard model of physics which is the widely accepted understanding about how…
Descriptors: Instructional Design, Second Language Instruction, English (Second Language), Second Language Learning
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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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Yeh, Hui-Chin; Tseng, Sheng-Shiang – Educational Technology & Society, 2019
Although teacher training programs can deliver knowledge of ways to integrate technology into English as a Foreign Language (EFL) lessons, teachers may not achieve sustainable improvement in their Computer Assisted Language Learning (CALL) professional knowledge as they cannot not reflect on the effectiveness of their lessons through actual…
Descriptors: Computer Assisted Instruction, Language Teachers, English (Second Language), Second Language Learning
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Al-Furaih, Suad Abdul Aziz – Education and Information Technologies, 2017
This study explored the perceptions of 88 pre-service teachers on the design of a learning environment using the Seven Principles of Good Practice and its effect on participants' abilities to create their Cloud Learning Environment (CLE). In designing the learning environment, a conceptual model under the name 7 Principles and Integrated Learning…
Descriptors: Preservice Teachers, Student Attitudes, Educational Principles, Best Practices
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Söderström, Tor; Åström, Jan; Anderson, Greg; Bowles, Ron – Campus-Wide Information Systems, 2014
Purpose: The purpose of this paper is to report progress concerning the design of a computer-assisted simulation training (CAST) platform for developing decision-making skills in police students. The overarching aim is to outline a theoretical framework for the design of CAST to facilitate police students' development of search techniques in…
Descriptors: Computer Simulation, Computer Assisted Instruction, Police Education, Decision Making Skills
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Di Caro, Luigi; Rabellino, Sergio; Fioravera, Michele; Marchisio, Marina – International Association for Development of the Information Society, 2018
This paper discusses a model for structuring resources for automatic assessment in scientific education by means of textual descriptions. This study aims to support instructors in extending teaching strategies and expanding formative assessment in virtual communities of practice. The strategy to achieve these goals involves the implementation of a…
Descriptors: Models, Teaching Methods, Formative Evaluation, Computer Simulation
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Jacobson, Michael J.; Kim, Beaumie; Pathak, Suneeta; Zhang, BaoHui – Interactive Learning Environments, 2015
This research explores issues related to the sequencing of structure that is provided as pedagogical guidance. A study was conducted that involved grade 10 students in Singapore as they learned concepts about electricity using four NetLogo Investigations of Electricity agent-based models. It was found that the low-to-high structure learning…
Descriptors: Grade 10, High School Students, Energy, Pretests Posttests
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