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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
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
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
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
Rania Mjahad; Ahmed Boukranaa; Abderrahim El Karfa; Kebir Sandy – SAGE Open, 2025
This study explores academics' perspectives on integrating artificial intelligence (AI) into Moroccan higher education (HE). A questionnaire examining perceived benefits, challenges, and influence of demographic factors was distributed to 103 faculty members at the college of Arts and Humanities, Sidi Mohamed Ben Abdellah University in Fez,…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
Jiahong Su; Weipeng Yang – Interactive Learning Environments, 2024
The issue of Artificial Intelligence (AI) literacy is gaining popularity in the field of education. Most research on AI literacy has focused on primary, secondary, and higher education, and there has been limited examination of AI literacy programs in early childhood education. This study aimed to evaluate the impact of an eight-week AI literacy…
Descriptors: Foreign Countries, Artificial Intelligence, Technological Literacy, Early Childhood Education
Ghita Ibrahimi; Bouchra Benchekroun – International Journal of Learning and Change, 2024
ChatGPT has advanced substantially, altering an array of industries and aspects of daily life. As it grows in popularity, ChatGPT has made its first steps into the field of education, especially higher education. This study aims to investigate the factors that affect the adoption of ChatGPT among higher education students. The novelty of this…
Descriptors: Artificial Intelligence, College Students, Student Characteristics, Technology Uses in Education
Nursalim, Mochamad; Saroinsong, Wulan P.; Boonroungrut, Chinun; Wagino; Costa, Augusto da – Psychology in the Schools, 2023
The global health emergency, COVID-19, significantly influenced schooling in Indonesia. Students employed a variety of coping mechanisms to cope with unusual stress levels during confinement time. Hence, as students' COVID-19 resilience, investigation, and prevention were required for high and chronic stress connected with various disorders. This…
Descriptors: Prediction, COVID-19, Pandemics, Resilience (Psychology)
Anjali Adukia; Alex Eble; Emileigh Harrison; Hakizumwami Birali Runesha; Teodora Szasz – Grantee Submission, 2023
Books shape how children learn about society and norms, in part through representation of different characters. We use computational tools to characterize representation in children's books widely read in homes, classrooms, and libraries over the last century, and describe economic forces that may contribute to these patterns. We introduce new…
Descriptors: Self Concept, Racism, Gender Bias, Childrens Literature
George Hanshaw; Ethan Wicker; Kristen Denlinger – Open Praxis, 2025
This study investigates the effects of utilizing the AI course assistant, Spark, on student academic performance at Los Angeles Pacific University (LAPU). Focusing on grade outcomes, the research reveals that students who engaged with Spark three or more times achieved significantly higher grades compared to those who did not use the AI assistant.…
Descriptors: Artificial Intelligence, Academic Achievement, Grades (Scholastic), College Students
Karen Singer-Freeman; Kristi Verbeke; Betsy Barre – Higher Learning Research Communications, 2025
Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…
Descriptors: Undergraduate Students, Graduate Students, Educational Technology, Educational Policy
Agus Pahrudin; Irwandani; Muhammad Aridan; Muhammad Farhan Barata – Journal of Teaching and Learning, 2025
The integration of deep learning in education has the potential to enhance pedagogical practices, personalized learning, and adaptive instruction. However, Islamic schools face unique challenges in adopting AI-driven educational models due to technological limitations, digital literacy disparities, and regulatory constraints. This study assesses…
Descriptors: Religious Schools, Islam, Foreign Countries, Elementary School Teachers
Julius Ceasar Hortelano; Shella Salamia – Journal of Teaching and Learning, 2025
Artificial Intelligence (AI) is ubiquitous, yet the perceptions of Filipino undergraduate students (UGS) remain limited. Using an explanatory sequential mixed methods design, we surveyed 537 UGS to examine their knowledge and beliefs about AI in higher education. An adapted instrument was first validated through exploratory factor analysis,…
Descriptors: Foreign Countries, Artificial Intelligence, Undergraduate Students, Student Attitudes
Oguz Cetin; Gizem Celen – Journal of Education in Science, Environment and Health, 2025
This study aims to investigate the artificial intelligence (AI) literacy levels of pre-service teachers and their views on the use of AI in education. Adopting a mixed-methods approach, the study employed both quantitative and qualitative techniques to ensure comprehensive analysis. The quantitative data were collected using the "Artificial…
Descriptors: Artificial Intelligence, Technological Literacy, Preservice Teachers, Student Attitudes
Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education

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