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Nicholas Feroce; Jenny Liu; Rajendra Chattergoon – Educational Technology Research and Development, 2025
This study evaluates the impact of a computer-assisted language learning (CALL) tool for the acquisition of academic English and oral language skills in children learning English as a second language. Using a quasi-experimental design, we compare English proficiency scores for K-5 students who did or did not use the program during the 2020-21…
Descriptors: Computer Assisted Instruction, Second Language Learning, Bilingual Students, English for Academic Purposes
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Chen-Chen Liu; Gwo-Jen Hwang; Peng Yu; Yun-Fang Tu; Youmei Wang – Educational Technology Research and Development, 2025
Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…
Descriptors: Automation, Error Correction, Feedback (Response), Peer Evaluation
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Ernest Frimpong Akosah – International Journal of Technology in Education and Science, 2025
The integration of Artificial Intelligence (AI) in collaborative learning environments has transformed educational practices, yet little is known about preservice mathematics teachers' perceptions and engagement with such technology. This study aims to address this gap by exploring how pre-service teachers perceive and engage with AI-assisted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cooperative Learning, Mathematics Education
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Sam O'Neill; David Mulgrew; Ovidiu Bagdasar – Open Education Studies, 2025
Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, College Faculty
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Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
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Xu, Liangbei; Davenport, Mark A. – International Educational Data Mining Society, 2020
The goal of knowledge tracing is to track the state of a student's knowledge as it evolves over time. This plays a fundamental role in understanding the learning process and is a key task in the development of an intelligent tutoring system. In this paper we propose a novel approach to knowledge tracing that combines techniques from matrix…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Assisted Instruction, Student Evaluation
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Yang, Juan; Qi, X. F.; Liu, R.; Wang, L.; Sun, B. – Reading and Writing: An Interdisciplinary Journal, 2022
Computer-assisted textual enhancement (CATE) technology has been widely used to improve English as foreign language (EFL) learners' syntactical and grammatical learning. Visual attention, repetition, and prior knowledge are known as the vital factors in CATE-assisted knowledge-acquisition; however, there still lacks a model which can describe…
Descriptors: Observation, Repetition, Prior Learning, Grammar
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Lee, John S. Y. – ReCALL, 2022
Extracurricular reading is important for learning foreign languages. Text recommendation systems typically classify users and documents into levels, and then match users with documents at the same level. Although this approach can be effective, it has two significant shortcomings. First, the levels assume a standard order of language acquisition…
Descriptors: Second Language Learning, Reading Materials, Computer Assisted Instruction, Second Language Instruction
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Sanchez, Diana R.; Nelson, Tristan; Kraiger, Kurt; Weiner, Erik; Lu, Yucheng; Schnall, Jasmine – International Journal of Training and Development, 2022
Game-based training research has produced various definitions and measures for learner motivation. Inconsistent findings on learner motivation may have contributed to the misapplication of one type of motivation to explain another; inhibiting future research and generating false implications. This study compared 172 students in game-based or…
Descriptors: Student Motivation, Game Based Learning, Video Games, French
Hightower, Indira – ProQuest LLC, 2022
This applied dissertation was designed to evaluate the effects of social skills training programs as a method to improve social skills in children diagnosed with autism spectrum disorder. The study sought to advance the social skills training options for children with autism spectrum disorder by comparing various evidence-based social skills…
Descriptors: Computer Assisted Instruction, Interpersonal Competence, Training, Social Emotional Learning
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Markopoulos, Christos; Bruck, Patrick; Petta, Koralia – Journal of Mathematics Education at Teachers College, 2022
This paper examines Grade 6 students' thinking about geometrical solids and their properties in the context of a computer-based task. The main focus is to explore how students interact with a number of tasks based on the dynamic transformation of computer-based representations of 3D solids in a geometry classroom with the aid of a Dynamic…
Descriptors: Thinking Skills, Visual Aids, Geometric Concepts, Grade 6
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Shreiner, Tamara L.; Guzdial, Mark – British Journal of Educational Technology, 2022
In this study, support for teaching data literacy in social studies is provided through the design of a pedagogical support system informed by participatory design sessions with both pre-service and in-service social studies teachers. It provides instruction on teaching and learning data literacy in social studies, examples of standards-based…
Descriptors: Computer Assisted Instruction, Information Literacy, Data, Statistics Education
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Conijn, Rianne; Cook, Christine; van Zaanen, Menno; Van Waes, Luuk – International Journal of Artificial Intelligence in Education, 2022
Feedback is important to improve writing quality; however, to provide timely and personalized feedback is a time-intensive task. Currently, most literature focuses on providing (human or machine) support on product characteristics, especially after a draft is submitted. However, this does not assist students who struggle "during" the…
Descriptors: Writing Skills, Teacher Response, Writing (Composition), Writing Evaluation
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Bahari, Akbar; Barrot, Jessie S.; Sarkhosh, Mehdi – TESOL Journal, 2022
Educational technology (ET) can reportedly provide innovative resources to improve the language learning process. However, few studies have elaborated on the use of ET for language teacher education and professional development. To shed light on the reported challenges and affordances of digital technology in language teacher education and…
Descriptors: Educational Technology, Technology Uses in Education, Language Teachers, Teacher Education
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Diego Airado-Rodri´guez; David Mun~oz de la Pen~a; Isabel Dura´n-Mera´s; Jaime Domi´nguez Manzano; Arsenio Mun~oz de la Pen~a – Journal of Chemical Education, 2022
In this paper, the development of an automatic assessor is presented, both in MATLAB and in Excel, for an analytical exercise. In particular, the emulation of an interlaboratory exercise, using the analytical determination of phosphorus in a dry detergent, carried out in the laboratory by different groups of students, was selected as a case of…
Descriptors: Electronic Learning, Chemistry, Evaluation Methods, Computer Assisted Instruction
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