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Showing 1 to 15 of 141 results Save | Export
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Christine Wusylko; Lauren Weisberg; Raymond A. Opoku; Brian Abramowitz; Jessica Williams; Wanli Xing; Teresa Vu; Michelle Vu – Journal of Research on Technology in Education, 2024
Social media has the unique capacity to expose many learners to media literacy instruction "via" targeted campaigns. Investigating learner engagement and reaction to these efforts may be a fruitful endeavor for researchers that can inform the design of future campaigns. However, the massive datasets associated with social media posts are…
Descriptors: Artificial Intelligence, Learner Engagement, Media Literacy, Social Media
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Ming Liu; Jingxu Zhang; Lucy Michael Nyagoga; Li Liu – IEEE Transactions on Learning Technologies, 2024
Student question generation (SQG) is an effective strategy for improving reading comprehension. It helps students improve their understanding of reading materials, metacognitively monitor their comprehension, and self-correct comprehension gaps. Internet technologies have been used to facilitate SQG process through intensive peer support. However,…
Descriptors: Reading Comprehension, Questioning Techniques, Educational Technology, Artificial Intelligence
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Sabah Farshad; Evgenii Zorin; Nurlybek Amangeldiuly; Clement Fortin – Education and Information Technologies, 2024
Project-based Learning (PBL) provides an effective environment for collaborative engineering design education. However, it is difficult to assess students' engagement and provide process-oriented feedback on their collaboration due to limited resources and scalability challenges. This paper presents an empirical study examining the application of…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Computer Mediated Communication
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Alejandra J. Magana; Syed Tanzim Mubarrat; Dominic Kao; Bedrich Benes – IEEE Transactions on Learning Technologies, 2024
Fostering productive engagement within teams has been found to improve student learning outcomes. Consequently, characterizing productive and unproductive time during teamwork sessions is a critical preliminary step to increase engagement in teamwork meetings. However, research from the cognitive sciences has mainly focused on characterizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teamwork, Learner Engagement
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Chen-Chung Liu; Yen-Yu Lin; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Education and Information Technologies, 2025
Fostering English reading interest and engagement among young learners in non-native settings demands innovative strategies. Previous studies emphasized the role of teachers in enhancing reading interest, for example, through dialogic reading due to its interactive nature. However, this approach is challenging to implement on a large scale.…
Descriptors: Learner Engagement, Gamification, Computer Simulation, Reading Interests
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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
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Yao Qu; Michelle Xin Yi Tan; Jue Wang – Smart Learning Environments, 2024
The rapid development of generative artificial intelligence (GenAI) technologies has sparked widespread discussions about their potential applications in higher education. However, little is known about how students from various disciplines engage with GenAI tools. This study explores undergraduate students' GenAI knowledge, usage intentions, and…
Descriptors: Undergraduate Students, Learner Engagement, Technology Uses in Education, Artificial Intelligence
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Lixia Chen – European Journal of Education, 2025
This study explores the relationships among music students' artificial intelligence (AI) perceptions, motivation, engagement, creativity and learning success. Through a random sampling method, 521 Chinese music students participated in the research, which employed a range of questionnaires to assess AI perceptions, motivation, engagement, learning…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Student Motivation
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D. Joel Whalen; Charles Drehmer; Andrew Cavanaugh – Business and Professional Communication Quarterly, 2024
Artificial intelligence assignments lead this article's 11 teaching innovations selected from the "My Favorite Assignments" presented at the 2023 Association for Business Communication's (ABC's) 88th Annual International Conference held in the Mile-High City: Denver, Colorado, USA. Pedagogy presented here also includes ideas to enhance…
Descriptors: Business Communication, Business Education, Artificial Intelligence, Assignments
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Felipe de Morais; Patricia A. Jaques – IEEE Transactions on Learning Technologies, 2024
Emotion detection through sensors is intrusive and expensive, making it impractical for many educational settings. As an alternative, sensor-free affect detection, which relies solely on interaction log data for machine learning models, has been explored. However, sensor-free emotion detectors have not significantly improved performance when…
Descriptors: Psychological Patterns, Personality Traits, Artificial Intelligence, Models
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Danial Hooshyar – Education and Information Technologies, 2024
Neural and symbolic architectures are key techniques in AI for learner modelling, enhancing adaptive educational services. Symbolic models offer explanation and reasoning for decisions but require significant human effort. On the other hand, neural architectures demand less human input and yield better predictions, yet lack interpretability. Given…
Descriptors: Artificial Intelligence, Modeling (Psychology), Learner Engagement, Achievement
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Wong Sing Yun; Sarimah Surianshah – International Journal of Technology in Education, 2024
The emergence of innovative artificial intelligence (AI) technologies, such as ChatGPT, which was just released in November 2022, has the potential to significantly transform the current state of education. Put another way, learning is changing as a result of chatbots' personalized assistance, group discussions and collaborations, evaluations of…
Descriptors: Bibliometrics, Computer Software, Artificial Intelligence, Technology Uses in Education
Chelsi V. Kline – ProQuest LLC, 2024
In 2022, generative artificial intelligence (GenAI) chatbots like ChatGPT were released to the public and were rapidly embraced by many. Educational stakeholders are divided about whether to incorporate or ban chatbot usage in classrooms. Student engagement, a meta construct comprised of behavioral, cognitive, affective, and social components, is…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, High School Students
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Shiyi Liu; Juan Zheng; Tingting Wang; Zeda Xu; Jie Chao; Shiyan Jiang – AERA Online Paper Repository, 2024
This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Language Arts
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Emily J. Summers; Elahe Mahmoudi; Jonathan Vontsteen; Kimberly A. Conner; Megan C. Wiedeman – Journal of Interactive Learning Research, 2025
This study qualitatively examined an integrated cross-community approach to augmenting research courses with (a) non-competitive gamification and (b) AI. Unlike other studies, ours was proactive, non-COVID derived, non-competitive, and rooted in a variety of instructional and technology expertise resources. Its three aims were (1) increasing…
Descriptors: Gamification, Artificial Intelligence, Technology Uses in Education, Technology Integration
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