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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
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Alexandre Machado; Kamilla Tenório; Mateus Monteiro Santos; Aristoteles Peixoto Barros; Luiz Rodrigues; Rafael Ferreira Mello; Ranilson Paiva; Diego Dermeval – Smart Learning Environments, 2025
Researchers are increasingly interested in enabling teachers to monitor and adapt gamification design in the context of intelligent tutoring systems (ITSs). These contributions rely on teachers' needs and preferences to adjust the gamification design according to student performance. This work extends previous studies on teachers' perception of…
Descriptors: Faculty Workload, Educational Resources, Artificial Intelligence, Technology Uses in Education
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Muhammad Imran; Norah Almusharraf – Smart Learning Environments, 2024
This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing data from text, image, audio, and video inputs and generating diverse content types. This study discusses…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
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Nurassyl Kerimbayev; Karlygash Adamova; Rustam Shadiev; Zehra Altinay – Smart Learning Environments, 2025
This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Databases
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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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Mohammed Saqr; Sonsoles López-Pernas – Smart Learning Environments, 2024
In learning analytics and in education at large, AI explanations are always computed from aggregate data of all the students to offer the "average" picture. Whereas the average may work for most students, it does not reflect or capture the individual differences or the variability among students. Therefore, instance-level…
Descriptors: Artificial Intelligence, Decision Making, Predictor Variables, Feedback (Response)
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Ghadah Al Murshidi; Galina Shulgina; Anastasiia Kapuza; Jamie Costley – Smart Learning Environments, 2024
Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in the class has prompted research on the perceptions related to the intention to…
Descriptors: Artificial Intelligence, Educational Experience, Feedback (Response), Interaction
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Chunpeng Zhai; Santoso Wibowo; Lily D. Li – Smart Learning Environments, 2024
The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance of learning aids. Despite examination of the ethical concerns associated with these technologies, there is a noticeable gap in investigations on how these ethical issues of AI contribute to students'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cognitive Ability, Decision Making
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Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
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Steffen Steinert; Karina E. Avila; Stefan Ruzika; Jochen Kuhn; Stefan Küchemann – Smart Learning Environments, 2024
Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that formative feedback is an effective way to support students during self-regulated learning. In this light, we propose the application of Large Language Models (LLMs) to…
Descriptors: Formative Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
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Chung Kwan Lo; Philip Leung Ho Yu; Simin Xu; Davy Tsz Kit Ng; Morris Siu-yung Jong – Smart Learning Environments, 2024
ChatGPT, a sophisticated artificial intelligence (AI) chatbot capable of providing personalised responses to users' inquiries, recently has had a substantial impact on education. Many studies have explored the use of ChatGPT in English as a second language (ESL) and English as a foreign language (EFL) education since its release on 30 November…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
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Muhammad Yasir Mustafa; Ahmed Tlili; Georgios Lampropoulos; Ronghuai Huang; Petar Jandric; Jialu Zhao; Soheil Salha; Lin Xu; Santosh Panda; Kinshuk; Sonsoles López-Pernas; Mohammed Saqr – Smart Learning Environments, 2024
Despite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews aiming at synthesizing the AIED findings in the literature. However, these AIED reviews are diversified in terms of focus, stakeholders, educational level and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Higher Education
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Santosh Mahapatra – Smart Learning Environments, 2024
This paper presents a study on the impact of ChatGPT as a formative feedback tool on the writing skills of undergraduate ESL students. Since artificial intelligence-driven automated writing evaluation tools positively impact students' writing, ChatGPT, a generative artificial intelligence-propelled tool, can be expected to have a more substantial…
Descriptors: Artificial Intelligence, English (Second Language), Writing Skills, Academic Language
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Nermin Punar Özçelik; Gonca Yangin Eksi – Smart Learning Environments, 2024
Artificial intelligence (AI) has garnered considerable interest in the field of language education in recent times; however, limited research has focused on the role of AI in the specific context of register knowledge learning during English language writing. This study aims to address this research gap by examining the impact of ChatGPT, an…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Writing Skills
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Said A. Salloum; Khaled Mohammad Alomari; Aseel M. Alfaisal; Rose A. Aljanada; Azza Basiouni – Smart Learning Environments, 2025
The integration of artificial intelligence in educational environments has the potential to revolutionize teaching and learning by enabling real-time analysis of students' emotions, which are crucial determinants of engagement, motivation, and learning outcomes. However, accurately detecting and responding to these emotions remains a significant…
Descriptors: Artificial Intelligence, Emotional Response, Psychological Patterns, Individualized Instruction
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