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Showing 1 to 15 of 18 results Save | Export
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Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
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Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
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Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
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Shuling Yang; Guy Trainin; Carin Appleget – Reading Teacher, 2025
The advent of Generative AI technologies, such as ChatGPT, in November 2022, necessitated immediate and critical attention from the educational research community. The impact of GenAI in education, though not yet clear, has the potential to be transformative. More specifically, the focus of this paper is on how to integrate GenAI into elementary…
Descriptors: Cues, Artificial Intelligence, Computer Software, Technology Uses in Education
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Ece Ceren Özer; Semra Benzer; Recep Benzer – Science Insights Education Frontiers, 2024
Artificial intelligence (AI) is increasingly integrated into daily life across various sectors such as banking, healthcare, tourism, and education. This research aims to investigate science teacher candidates' opinions on using ChatGPT in education and their approaches to preparing questions with this artificial intelligence tool. Specifically, it…
Descriptors: Graduate Students, Undergraduate Students, Artificial Intelligence, Computer Software
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Phuong-Anh Nguyen – IAFOR Journal of Education, 2024
Strategic competence, the ability to use communication strategies (CS) to overcome challenges and enhance communication effectiveness, is crucial in language learning. However, the coverage of these strategies as well as target models to teach them remain scarce in current instructional materials. This paper represents the first attempt to examine…
Descriptors: Artificial Intelligence, Computer Software, Metacognition, Technology Uses in Education
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David R. Firth; Jason Triche – Information Systems Education Journal, 2024
Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we…
Descriptors: Information Systems, Artificial Intelligence, Information Science Education, Computer Software
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Shunan Zhang; Xiangying Zhao; Dongyan Nan; Jang Hyun Kim – International Journal of Educational Technology in Higher Education, 2024
Prior research has explored the impact of diverse anthropomorphic interventions on the effectiveness of AI (artificial intelligence) instructors. However, the exploration of interpersonal communication skills (e.g., self-disclosure) as anthropomorphic conversational cues for AI instructors is rare. Considering the positive impact of the…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Computer Mediated Communication
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John Corry Werth; Peter Charles Sinclair Taylor; Elisabeth Taylor – Australian Mathematics Education Journal, 2024
Over the past 20 years, the authors have designed an interdisciplinary approach that integrates Arts-based methods into STEM education. This integrated STEAM education perspective is particularly useful for enabling students to develop (i) not only their traditional scientific (and mathematical) understanding of the outer world but also (ii) their…
Descriptors: Mathematics Instruction, Artificial Intelligence, Computer Software, STEM Education
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Roy B. Clariana; Ryan Solnosky – International Association for Development of the Information Society, 2023
This quasi-experimental study seeks to improve the conceptual quality of summary essays by comparing two conditions, essay prompts with or without a list of 13 broad concepts, the concepts were selected across a continuum of the 100 most frequent words in the lesson materials. It is anticipated that only the most central concepts will be used as…
Descriptors: Comparative Analysis, Writing Evaluation, Essays, Word Frequency
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Liew, Tze Wei; Tan, Su-Mae; Kew, Si Na – Information and Learning Sciences, 2022
Purpose: This study aims to examine if a pedagogical agent's expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness. Design/methodology/approach: A between-subjects experiment was conducted in which learners engaged with a multimedia learning…
Descriptors: Teaching Methods, Multimedia Instruction, Psychological Patterns, Emotional Response
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Limei Shan – International Journal of Technology in Teaching and Learning, 2023
This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Second Language Instruction
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Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
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Mirzaei, Maryam Sadat; Zhang, Qiang; van der Struijk, Stef; Nishida, Toyoaki – Research-publishing.net, 2018
This study proposes a virtual reality platform for language learners to practice a Target Language (TL) and develop cross-cultural competencies through interaction with peers or an AI-agent (limited scope), followed by a scheme for engaging learners to envision their conversations by disclosing their thoughts, reasoning, feelings, and…
Descriptors: Second Language Learning, Second Language Instruction, Sociocultural Patterns, Role Playing
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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