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Jessica Kahlow – Online Submission, 2024
This comprehensive guide illuminates the art and science of educational assessment, blending ancient alchemical wisdom with modern AI innovations. Part one lays the foundation, exploring essential principles of assessment and evaluation and its pivotal role in shaping learning outcomes. Part two delves into diverse assessment types, from formative…
Descriptors: Educational Assessment, Student Evaluation, Educational Innovation, Artificial Intelligence
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Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
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Salima Aldazharova; Gulnara Issayeva; Samat Maxutov; Nuri Balta – Contemporary Educational Technology, 2024
This study investigates the performance of GPT-4, an advanced AI model developed by OpenAI, on the force concept inventory (FCI) to evaluate its accuracy, reasoning patterns, and the occurrence of false positives and false negatives. GPT-4 was tasked with answering the FCI questions across multiple sessions. Key findings include GPT-4's…
Descriptors: Physics, Science Tests, Artificial Intelligence, Problem Solving
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Robert F. Siegle; Scotty D. Craig – Journal of Computer Assisted Learning, 2024
Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…
Descriptors: Acoustics, Artificial Intelligence, Electronic Learning, Quality Assurance
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Jinfen Xu; Juan Li – European Journal of Education, 2024
Various AI technologies have been extensively introduced in language learning, showing positive impacts on students' learning, especially on their classroom-based engagement. Yet, AI's comprehensive affordances as well as influences across different cohorts of student engagement remain underexplored. Given this, the current study, employing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learner Engagement, English (Second Language)
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Yuyu Chen; Yuntao Zou – European Journal of Education, 2024
This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…
Descriptors: Teacher Attitudes, Educational Quality, Intention, Artificial Intelligence
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Cong Doanh Duong; Thanh Hieu Nguyen; Thi Viet Nga Ngo; Van Thanh Dao; Ngoc Diep Do; Thanh Van Pham – International Journal of Information and Learning Technology, 2024
Purpose: The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with a particular resonance in education. This research aims to integrate the information systems success (ISS) model with the stimulus-organism-response (SOR) paradigm to explore how information quality and…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Juliana Ego Azonuche; Juliet Obiageli Okoruwa; Comfort Ukrajit Sonye; Gbenga Samuel Oladosu – International Journal of Learning and Change, 2024
The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…
Descriptors: Foreign Countries, Higher Education, Textiles Instruction, Clothing
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Chen, Binbin; Bao, Lina; Zhang, Rui; Zhang, Jingyu; Liu, Feng; Wang, Shuai; Li, Mingjiang – Journal of Educational Computing Research, 2024
Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Writing Instruction
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Dai, Yun; Lin, Ziyan; Liu, Ang; Dai, Dan; Wang, Wenlan – Journal of Educational Computing Research, 2024
Artificial intelligence (AI) has emerged as a prominent topic in K-12 education recently. However, pedagogical design has remained a major challenge, especially among young learners. Guided by the Zone of Proximal Development theory and AI education research literature, this design-based study proposes an analogy-based pedagogical approach to…
Descriptors: Foreign Countries, Grade 6, Artificial Intelligence, Logical Thinking
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Prawidi Wisnu Subroto; Maulana Malik; Aji Raditya; Nisvu Nanda Saputra – Journal of Research and Advances in Mathematics Education, 2024
The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from…
Descriptors: Bibliometrics, Mathematics Instruction, Teaching Methods, Artificial Intelligence
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Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
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Sha Gao – International Review of Research in Open and Distributed Learning, 2024
Artificial Intelligence (AI), as an innovation in technology, has greatly affected human life. AI applications such as ChatGPT have been used in different fields, particularly education. However, the use of AI applications to enhance undergraduate students' academic emotions and test anxiety has not been appropriately investigated. This study…
Descriptors: Artificial Intelligence, Undergraduate Students, Test Anxiety, Technology Uses in Education
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Sezer Kanbul; Idris Adamu; Yakubu Bala Mohammed – SAGE Open, 2024
This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Sustainable Development
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Belle Li; Chaoran Wang; Curtis J. Bonk; Xiaojing Kou – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study explores the integration of generative AI, specifically ChatGPT, in self-directed language learning (SDLL) as perceived by YouTube content creators. Through thematic analysis of in-depth interviews with 14 prominent online language educators with related YouTube videos on ChatGPT, the present study investigates: (1) their perceptions of…
Descriptors: Artificial Intelligence, Online Courses, Second Language Instruction, Language Teachers
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