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Anja Møgelvang; Simone Grassini – Discover Education, 2025
Identifying valid and reliable instruments measuring attitudes toward Artificial Intelligence (AI) and examining attitudinal gaps are becoming increasingly important as they may inform ethical and appropriate development, adoption, and regulation of AI technologies. In this study, we validated the 4-item AI Attitude Scale (AIAS-4) in a large…
Descriptors: Attitude Measures, Artificial Intelligence, College Students, Student Attitudes
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Cristina Cachero; David Tomás; Francisco A. Pujol – ACM Transactions on Computing Education, 2025
Objectives: This study investigates gender biases in AI perceptions among university students. It focuses on assessing self-perceptions regarding knowledge, impact, and support, with a specific emphasis on identifying any significant gender differences. The main hypotheses are focused on the existence of gender disparities in AI awareness,…
Descriptors: Artificial Intelligence, Gender Bias, Self Concept, Knowledge Level
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John Mark R. Asio; Dante P. Sardina – Journal of Pedagogical Research, 2025
Artificial Intelligence (AI) is taking the educational system by storm due to its various implications and endless possibilities. Nevertheless, the teachers, the schools, and most importantly, the students have different perspectives on using AI in their learning experience, especially when gender is involved. In this study, the proponents delve…
Descriptors: Gender Differences, Artificial Intelligence, Technology Uses in Education, Anxiety
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Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
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Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
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Anass Bayaga – International Journal of Technology in Education, 2025
This investigation explored the role of artificial intelligence (AI)-powered gamification on mathematics cognition through a mixed-methods design, blending an intervention with a gamified learning application (app) and a survey to evaluate student engagement and performance. The study explores the nexus of gamification, AI, and mathematics…
Descriptors: Artificial Intelligence, Problem Solving, Game Based Learning, Mathematics Instruction
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Khalid Bashir Hajam; Sanjib Gahir – Journal of Educational Technology Systems, 2024
The research seeks to delve into and comprehend the attitudes of university students regarding artificial intelligence (AI) and to identify potential factors influencing these attitudes. The research employs a descriptive research design with a quantitative approach. A sample of 240 university students, including both males and females, was…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Gender Differences
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Ayelet Ben-Sasson; Joshua Guedalia; Keren Ilan; Meirav Shaham; Galit Shefer; Roe Cohen; Yuval Tamir; Lidia V. Gabis – Autism: The International Journal of Research and Practice, 2024
Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Infants, Predictor Variables
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Nontachai Samngamjan; Pakawat Phettom; Kajohnsak Sa-ngunsat; Wudhijaya Philuek – Shanlax International Journal of Education, 2024
In the realm of education, the integration of AI literacy into computer science teaching is becoming increasingly crucial (Walsh et al., 2023; Voulgari et al., 2022; Velander et al., 2023). Teachers play a pivotal role in bridging the gap between research and practical knowledge transfer of AIrelated skills, necessitating a solid foundation in…
Descriptors: Artificial Intelligence, Technological Literacy, Foreign Countries, Student Teachers
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Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
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Desy K. Sari; Supahar Supahar; Dadan Rosana; Pri A. C. Dinata; Muhammad Istiqlal – Journal of Pedagogical Research, 2025
As artificial intelligence [AI] increasingly permeates various sectors--including education, economics, healthcare, and government--a comprehensive understanding of this technology becomes essential. This analysis aims to identify four dimensions of AI literacy--awareness, usage, evaluation, and ethics--among Indonesian higher education students…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Foreign Countries
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Mujgan Firincioglulari – Turkish Online Journal of Educational Technology - TOJET, 2024
Artificial Intelligence (AI) is a highly discussed subject, and its integration into our daily lives has grown significantly. This research evaluated how dental students in North Cyprus perceive and feel about artificial intelligence, with a focus on identifying educational needs to enhance their professional skills. A self-administered…
Descriptors: Foreign Countries, Artificial Intelligence, Dentistry, Graduate Students
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Musa Adekunle Ayanwale; Owolabi Paul Adelana; Tolulope Timothy Odufuwa – Discover Education, 2024
In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with the potential to revolutionize teaching and learning processes. However, the successful integration of AI in education depends on the trust and acceptance of teachers. This study addresses a significant gap in research by…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Trust (Psychology)
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Stella Eteng-Uket; Ebere Ezeoguine – Journal of Educators Online, 2025
As technology and education intersect, the potential of Artificial Intelligence (AI) to enhance learning and engagement via chatbots is notable and has been widely acclaimed, though with mixed reports. This study thus investigates AI chatbots' effectiveness in enhancing learning outcome and engagement, using a quasi-experimental design with three…
Descriptors: Artificial Intelligence, Computer Uses in Education, Learner Engagement, Outcomes of Education
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William T. Faranda – Marketing Education Review, 2025
Students' approaches to learning, including "deep," "surface," or "strategic" methods, significantly impact their academic success and skill development. This study investigates the transition in learning approach preferences among marketing majors, comparing junior-level students beginning their upper-division…
Descriptors: Business Education, Marketing, Capstone Experiences, Academic Achievement
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