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Liu, Chunhong; Zhang, Haoyang; Zhang, Jieyu; Zhang, Zhengling; Yuan, Peiyan – International Journal of Information and Communication Technology Education, 2023
Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…
Descriptors: Educational Technology, Artificial Intelligence, Electronic Learning, Concept Mapping
Carter, Richard Allen, Jr.; Zhang, Ling; Hunt, Tiffany L.; Emerling, Christopher R.; Yang, Sohyun; Rujimora, James – TechTrends: Linking Research and Practice to Improve Learning, 2023
Recent developments in Conversational Agents (CAs) have offered researchers new ways to develop personalized learning support for students that is accessible in various environments. Traditionally, CA learner experiences are accessible through home devices, including Alexa Echo and Google Nest, for tasks such as setting reminders, ordering…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Artificial Intelligence
Naya-Varela, Martin; Guerreiro-Santalla, Sara; Baamonde, Tamara; Bellas, Francisco – IEEE Transactions on Learning Technologies, 2023
This article presents the Robobo SmartCity model, an educational resource to introduce students to computational intelligence (CI) topics using educational robotics as the core learning technology. Robobo SmartCity allows educators to train learners in artificial intelligence (AI) fundamentals from a feasible and practical perspective, following…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Computation
Zanellati, Andrea; Macauda, Anita; Panciroli, Chiara; Gabbrielli, Maurizio – Research on Education and Media, 2023
Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Algorithms
Pasta, Stefano – Research on Education and Media, 2023
Hate speech may be the research focus of the interdisciplinary field of hate studies, but it is also a difficult phenomenon to define. Internationally, there are several detection studies on automatically detecting hate speech. They can be grouped according to two approaches: the first includes searching using only machine learning methods, while…
Descriptors: Social Bias, Antisocial Behavior, Social Media, Migrants
deLeyer-Tiarks, Johanna M.; Li, Michael G.; Levine-Schmitt, Michelle; Andrade, Bryndis; Bray, Melissa A.; Peters, Emily – Psychology in the Schools, 2023
The purpose of this review is to broadly identify technological advances in supports and evaluation for individuals on the autism spectrum. Literature review with commentary on the evolving technologies supporting and/or evaluating social-emotional, behavioral, academic, and cognitive domains. There has been an increasing synthesis of technology…
Descriptors: Autism Spectrum Disorders, Technology Uses in Education, Technological Advancement, Educational Technology
Izaguirre, Lorea Azpiazu; Rodríguez-Fernández, Arantzazu; Fernández-Zabala, Arantza – British Journal of Educational Psychology, 2023
Background: Adolescents spend a large percentage of their time at school, where learning and achievement are important activities that are vital to their future educational success and subsequent career opportunities. However, studies reveal a significant drop in satisfaction and performance during the teenage years. Aim: Based on the ecological…
Descriptors: Foreign Countries, Adolescents, Academic Achievement, Self Concept
Serrano-Mamolar, Ana; Miguel-Alonso, Ines; Checa, David; Pardo-Aguilar, Carlos – Comunicar: Media Education Research Journal, 2023
At present, the use of eye-tracking data in immersive Virtual Reality (iVR) learning environments is set to become a powerful tool for maximizing learning outcomes, due to the low-intrusiveness of eye-tracking technology and its integration in commercial iVR Head Mounted Displays. However, the most suitable technologies for data processing should…
Descriptors: Student Evaluation, Computer Simulation, Eye Movements, Technology Integration
Knapp, David H.; Powell, Bryan; Smith, Gareth D.; Coggiola, John C.; Kelsey, Matthew – Research Studies in Music Education, 2023
The COVID-19 pandemic prompted a sudden rethinking of how music was taught and learned. Prior to the pandemic, the web-based digital audio workstation Soundtrap emerged as a leading platform for creating music online. The present study examined the growth of Soundtrap's usage during the COVID-19 pandemic. Using machine-learning methods, we…
Descriptors: Technology Uses in Education, Audio Equipment, COVID-19, Pandemics
Wang, Yuhua – Journal of Psycholinguistic Research, 2023
This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference 'Translation Skills in Times of Artificial Intelligence' (DingTalk platform, January 2022), the teachers of higher education institutions in China prioritized the translator's…
Descriptors: English, Translation, Professional Education, Artificial Intelligence
O'Dea, Xianghan; O'Dea, Mike – Journal of University Teaching and Learning Practice, 2023
Artificial Intelligence in higher education (AIED) is becoming a more important research area with increasing developments and application of AI within the wider society. However, as yet AI based tools have not been widely adopted in higher education. As a result there is a lack of sound evidence available on the pedagogical impact of AI for…
Descriptors: Artificial Intelligence, Higher Education, Pedagogical Content Knowledge, Technological Literacy
Wu, Ting-Ting; Lee, Hsin-Yu; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – International Journal of Educational Technology in Higher Education, 2023
In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present a solution to this issue with the Real-time Automated STEM Engagement Detection System (RASEDS). This innovative system capitalizes…
Descriptors: STEM Education, Learner Engagement, Self Efficacy, Problem Solving
Lin, Kuo-Chin; Cheng, I-Ling; Huang, Yin-Cheng; Wei, Chun-Wang; Chang, Wei-Lun; Huang, Chenhsuan; Chen, Nian-Shing – IEEE Transactions on Learning Technologies, 2023
Swing movements and muscle strength are essential for mastering badminton techniques. Traditionally, students learn badminton through their instructor's physical demonstration, verbal instructions, and small group activities. To enhance students' learning experience and assist badminton instructors more effectively, this study proposes an…
Descriptors: Racquet Sports, Skill Development, Psychomotor Skills, Physical Education Teachers
Gibson, David; Kovanovic, Vitomir; Ifenthaler, Dirk; Dexter, Sara; Feng, Shihui – British Journal of Educational Technology, 2023
This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…
Descriptors: Learning Theories, Artificial Intelligence, Learning Processes, Evaluation Criteria
Bauer, Elisabeth; Greisel, Martin; Kuznetsov, Ilia; Berndt, Markus; Kollar, Ingo; Dresel, Markus; Fischer, Martin R.; Fischer, Frank – British Journal of Educational Technology, 2023
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a…
Descriptors: Peer Relationship, Feedback (Response), Artificial Intelligence, Natural Language Processing

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