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Pauldy C. J. Otermans; Charlotte Roberts; Stephanie Baines – International Journal of Technology in Education, 2025
This study examines the relationship between students' attitudes toward artificial intelligence (AI) and both AI competence and conceptions. 176 UK university students completed a survey where they were asked to rate statements in relation to their attitudes towards AI, their AI competence and their conceptions about AI using 5-point Likert-type…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Educational Technology
Wang, Huanhuan; Tlili, Ahmed; Huang, Ronghuai; Cai, Zhenyu; Li, Min; Cheng, Zui; Yang, Dong; Li, Mengti; Zhu, Xixian; Fei, Cheng – Education and Information Technologies, 2023
Intelligent Tutoring Systems (ITSs) have a great potential to effectively transform teaching and learning. As more efforts have been put on designing and developing ITSs and integrating them within learning and instruction, mixed types of results about the effectiveness of ITS have been reported. Therefore, it is necessary to investigate how ITSs…
Descriptors: Intelligent Tutoring Systems, Literature Reviews, Research Methodology, Instructional Effectiveness
Conrad Borchers; Hendrik Fleischer; David J. Yaron; Bruce M. McLaren; Katharina Scheiter; Vincent Aleven; Sascha Schanze – Journal of Science Education and Technology, 2025
Intelligent tutoring system (ITS) provides learners with step-by-step problem-solving support through scaffolding. Most ITSs have been developed in the USA and incorporate American instructional strategies. How do non-American students perceive and use ITS with different native problem-solving strategies? The present study compares Stoich Tutor,…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Learning Strategies, Protocol Analysis
Yuhui Yang; Hao Zhang; Huifang Chai; Wei Xu – Interactive Learning Environments, 2023
The COVID-19 pandemic has accelerated the transformation of education forms, and the combination of online and offline teaching has become the core development direction of university teaching at present and in the future. Therefore, appropriate teaching space is urgently needed to support the practice of blended teaching. Firstly, this paper…
Descriptors: Intelligent Tutoring Systems, Instructional Design, Universities, Blended Learning
Valentina Grion; Juliana Raffaghelli; Beatrice Doria; Anna Serbati – Educational Research and Evaluation, 2024
Feedback is crucial for improving student learning. In this regard, overcoming the transmissive conception of feedback in favour of its dialogic function introduces new reflections concerning the internal generative feedback process. In this regard, Nicol [(2020). The power of internal feedback: Exploiting natural comparator processes.…
Descriptors: Student Attitudes, Self Evaluation (Individuals), Feedback (Response), Individual Differences
Essa, Eman Khaled – International Journal of Research in Education and Science, 2023
With the escalation of the COVID-19 crisis, many educational institutions have turned to distance education, especially universities and higher education institutions, which may affect the quality of learning outcomes especially those related to deeper learning and academic mindfulness. The present study aimed at investigating the effectiveness of…
Descriptors: College Students, Blended Learning, Metacognition, Instructional Effectiveness
Aniekan Essien; Oyegoke Teslim Bukoye; Xianghan O'Dea; Marios Kremantzis – Studies in Higher Education, 2024
This study investigates the influence of generative artificial intelligence (GAI), specifically AI text generators (ChatGPT), on critical thinking skills in UK postgraduate business school students. Using Bloom's taxonomy as theoretical underpinning, we adopt a mixed-method research employing a sample of 107 participants to investigate both the…
Descriptors: Foreign Countries, Graduate Students, Business Education, Artificial Intelligence
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Laura Butler; Louise Starkey – Technology, Pedagogy and Education, 2024
Artificial intelligence (AI) will be in the future lives of children at school today. Voice-activated intelligent personal assistant devices are used in the home and could be useful in the classroom. This article explores how two groups of New Zealand children aged 7-12 engaged with Google Home devices in their classroom. Interactions recorded…
Descriptors: Audio Equipment, Computers, Technology Integration, Artificial Intelligence
Kudzayi Savious Tarisayi; Ronald Manhibi – Journal of Learning and Teaching in Digital Age, 2025
This paper critically examines the transformative potential of Artificial Intelligence (AI) in Zimbabwe's higher education system, focusing on how AI can enhance learning outcomes and optimize administrative processes. The study employs a qualitative research approach, gathering insights from key stakeholders in the educational sector to identify…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
Jessica Fernanda Silva Barbosa; Geiser Chalco Challco; Ig Ibert Bittencourt – Interactive Learning Environments, 2024
Gender-stereotypical design, such as the predominance of blue colors in interfaces, leaderboards with only men at the top, and male avatars, may have negative effects on women in gamified tutoring systems, especially in courses with a majority of male participation, such as courses of Science, Technology, Engineering, and Mathematics (STEM). We…
Descriptors: Sex Stereotypes, Gamification, Thinking Skills, Negative Attitudes
Luiz Rodrigues; Guilherme Guerino; Thomaz E. V. Silva; Geiser C. Challco; Lívia Oliveira; Rodolfo S. da Penha; Rafael F. Melo; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig I. Bittencourt; Diego Dermeval; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2025
Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…
Descriptors: Teacher Attitudes, Intelligent Tutoring Systems, Numeracy, Mathematics Education
Cennet Yildiz – Novitas-ROYAL (Research on Youth and Language), 2024
This study explored the effect of ChatGPT on the speaking self-efficacy level of English as foreign language learners. The research followed the mixed method approach and involved a total of 65 participants who were randomly assigned to the experimental and control groups. The experimental group used the ChatGPT for communicative activities, while…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, English (Second Language)
Pui Yi Mok; Hsueh-Hua Chuang; Ming-Min Cheng; Thomas J. Smith – Journal of Creative Behavior, 2025
Considering the pivotal role of creativity across various eras and the rapid integration of Artificial Intelligence (AI) in both creative processes and education, this study introduces and provides validity evidence for the AI-assisted Creativity Questionnaire (AICQ). This new 16-item instrument aims to quantify human creative potential in…
Descriptors: Artificial Intelligence, Creativity, Technology Integration, Intelligent Tutoring Systems
Personalized Recommendation in the Adaptive Learning System: The Role of Adaptive Testing Technology
Dai, Jing; Gu, Xiaoqing; Zhu, Jiawen – Journal of Educational Computing Research, 2023
Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Evaluation Methods, Tests