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Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
Counsell, Alyssa; Rovetti, Joseph; Buchanan, Erin – Statistics Education Research Journal, 2022
The current study sought to evaluate the SASTSc in two samples of students taking a statistics course that incorporates statistical software. The SASTSc was given at two time points, once at the beginning of the semester and then again at the end of the semester. Our evaluation included examining competing factor analytic models, examining…
Descriptors: Psychometrics, Student Attitudes, Statistics Education, Educational Technology
Alberto Grájeda; Pamela Córdova; Juan Pablo Córdova; Andrés Laguna-Tapia; Johnny Burgos; Luis Rodríguez; Martín Arandia; Alberto Sanjinés – Cogent Education, 2024
This study investigates the integration of Artificial Intelligence (AI) tools within the School of Arts at a private university in Latin America, focusing on student perceptions and emotional reactions. The research addresses two primary questions: how students perceive the integration of AI tools in their educational experience, and how…
Descriptors: Art Education, Artificial Intelligence, Computer Software, Technology Uses in Education
Mustafa Taktak; Görsev Bafrali – International Journal of Technology in Education, 2025
This study aimed to develop a valid and reliable scale to measure individuals' and organizations' attitudes toward the use of ChatGPT, emphasizing the necessity for organizations to adapt to rapidly evolving information and technology environments. The methodology consisted of three stages. In the first stage, a 13-item draft scale was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Factor Analysis, Validity
Sayim Aktay; Seckin Gok; Aytug Yildirim – International Technology and Education Journal, 2024
The aim of this study is to develop a reliable and valid scale to determine individuals' attitudes toward artificial intelligence. The study was conducted during the spring semester of 2024 with the participation of pre-service teachers studying at the Faculty of Education at Mugla Sitki Koçman University in Turkey. A total of 410 pre-service…
Descriptors: Artificial Intelligence, Attitude Measures, Educational Benefits, Goodness of Fit
Hanwei Wu; Ziwen Pan – European Journal of Education, 2025
Recently, there has been a significant increase in research on Generative Artificial Intelligence (GenAI) in the domain of second language (L2) education. Given the limited resources, it is essential for GenAI research to focus on key areas. However, there is still uncertainty about which topics should be prioritised. Research priorities are often…
Descriptors: Q Methodology, Stakeholders, Artificial Intelligence, Technology Uses in Education
Ragazou, Vasiliki; Karasavvidis, Ilias – Interactive Technology and Smart Education, 2023
Purpose: Software training is a new trend in software applications. A key problem with software training is that video tutorials are developed without considering the target audience. Although video tutorials are popular, little attention is given to their design features. This study aims to investigate how two multimedia research principles,…
Descriptors: Visual Aids, Cues, Task Analysis, Video Technology
R. Freed; D. H. McKinnon; M. T. Fitzgerald; S. Salimpour – Physical Review Physics Education Research, 2023
This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n ¼ 15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which…
Descriptors: Self Efficacy, Science Instruction, Astronomy, Factor Analysis
Yi Zheng; Yabing Wang; Kelly Shu-Xia Liu; Michael Yi-Chao Jiang – Education and Information Technologies, 2024
Grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study investigates the interplay between key UTAUT2 constructs and motivation modeled by Self-Determination Theory (SDT) in shaping English as a Foreign Language (EFL) learners' behavioral intention and actual use of generative AI tools. Accordingly, three research…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Motivation
Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
Ting Xiao; Sisi Yi; Shamim Akhter – International Review of Research in Open and Distributed Learning, 2024
The consideration of students' emotional and psychological health is crucial to facilitate effective teaching and grading practices. This study set out to shed light on the interplay between self-esteem (S-E), cognitive-emotion regulation (CER), academic enjoyment (AE), and language success (LS) in artificial intelligence (AI)-supported online…
Descriptors: Artificial Intelligence, Computer Software, Self Esteem, Second Language Learning
Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Makruf, Imam; Rifa'i, Andi Arif; Triana, Yunika – International Journal of Instruction, 2022
The COVID-19 pandemic gives a big impact on various aspects of human life, including higher education institutions. Institut Agama Islam Negeri (State Institute for Islamic Studies) Surakarta (IAIN Surakarta) as one of the Islamic higher education institutions in Indonesia has developed online learning management using Moodle platform. This study…
Descriptors: Higher Education, Integrated Learning Systems, Online Courses, Islam