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Jill Oeding; Theresa Gunn; Jamie Seitz – Open Praxis, 2024
This quantitative study is designed to help educational institutions and instructors make informed decisions regarding the use of online proctoring software. The researchers studied the impact of proctoring software in online courses by comparing the final grades of two groups of online, undergraduate students who took the same online course with…
Descriptors: Supervision, Computer Software, Online Courses, Grades (Scholastic)
Tanvir Prince – International Journal of Mathematical Education in Science and Technology, 2025
This study investigates the impact of GeoGebra, a dynamic, accessible, and easy-to-use mathematics software, on student confidence and perceptions of its helpfulness in the context of Calculus III courses. A quasi-experimental design was employed to compare four sections of Calculus III, with two sections integrating GeoGebra for in-class…
Descriptors: Computer Software, Technology Uses in Education, Mathematics Instruction, Calculus
Xiaoming Cao; Zhuo Huang; Junchen Wu; Mingzhu Li; Tao He – Education and Information Technologies, 2025
Cyberbullying has garnered growing attention, yet existing research lacks nuanced insights into the dynamics of students' cyberbullying profiles and the associated risk factors across multiple domains. This study aims to (1) investigate K-12 students' cyberbullying profiles, (2) develop an AI predictive model for cyberbullying roles, and (3)…
Descriptors: Bullying, Computer Mediated Communication, Victims, Artificial Intelligence
Belle Li; Curtis J. Bonk; Chaoran Wang; Xiaojing Kou – IEEE Transactions on Learning Technologies, 2024
This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…
Descriptors: Independent Study, Language Acquisition, Artificial Intelligence, Computer Mediated Communication
Moses Kumi Asamoah; Patricia Ananga; Francis Annor – Journal of Adult and Continuing Education, 2024
This study aimed to investigate students' digital (ICT) skills, perceived relevance (usefulness), and actual use of digital (ICTs) skills for learning. Data were obtained via Google Forms from 325 students who were conveniently sampled from two public universities in Ghana. The results from the multivariate analysis of variance showed that age and…
Descriptors: Foreign Countries, College Students, Public Colleges, Information Technology
Nesra Yannier; Scott E. Hudson; Henry Chang; Kenneth R. Koedinger – International Journal of Artificial Intelligence in Education, 2024
Adaptivity in advanced learning technologies offer the possibility to adapt to different student backgrounds, which is difficult to do in a traditional classroom setting. However, there are mixed results on the effectiveness of adaptivity based on different implementations and contexts. In this paper, we introduce AI adaptivity in the context of a…
Descriptors: Artificial Intelligence, Computer Software, Feedback (Response), Outcomes of Education
Atef Odeh AbuSa’aleek; Aied Alenizi – Teaching English with Technology, 2024
To better understand the use of ChatGPT as a tool for learning in higher education, this investigation reports student responses to an e-questionnaire investigating their perspectives on it. In particular, it delves into whether there are any significant differences between opinions based on gender and the level of study of 51 postgraduate…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Synchronous Communication
Maria Camilla Ann R. Llamas; Cenie M. Vilela-Malabanan; Dante D. Dinawanao – Journal of Education and Learning (EduLearn), 2025
This study explores the user experience (UX) of academics and students in using a Moodle-based learning management system (LMS) and provides opportunities for improvement. The study employs a qualitative approach to gain a deep understanding of user perspectives, combining focus group discussions (FGDs) with the user experience questionnaire…
Descriptors: College Faculty, Learning Management Systems, Teacher Attitudes, Educational Improvement
Pilar Cuevas-Ruiz; Luz Rello; Ismael Sanz; Almudena Sevilla – Annenberg Institute for School Reform at Brown University, 2025
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…
Descriptors: Artificial Intelligence, Individualized Instruction, Reading Skills, Equal Education
Nesrin Hark Söylemez – SAGE Open, 2025
The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…
Descriptors: Preservice Teachers, Teacher Education Programs, Cultural Awareness, Gender Differences
Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
Jenkins, Baylee D.; Golding, Jonathan M.; Le Grand, Alexis M.; Levi, Mary M.; Pals, Andrea M. – Teaching of Psychology, 2023
Background: The COVID-19 pandemic led to significant, unforeseen changes in classroom instructions, including the evaluation of students. Objective: The purpose of this study was to investigate college students' cheating both before and during the COVID-19 pandemic in terms of (a) preponderance of cheating, (b) the factors that may have led to an…
Descriptors: COVID-19, Pandemics, Cheating, Student Behavior
Hamidah; Jaka Wijaya Kusuma; Sigit Auliana – Mathematics Teaching Research Journal, 2024
The low knowledge and love of students for culture, plus based on preliminary analysis, it is known that geometry skills are relatively low. The a need for harmony between student and teacher learning styles to maximize student engagement and focus in the classroom. So this study aims to create a culture-based Geometry learning design that…
Descriptors: Geometry, Mathematics Instruction, Cognitive Style, Mathematics Skills
Yue Zhang – Journal of International Students, 2025
The emotional well-being of international undergraduates plays a critical role in their ability to adapt to the demands of online learning. Despite the relaxation of pandemic-related restrictions in China, many international students continue to choose online learning as their preferred mode of study. This study aimed to measure international…
Descriptors: Foreign Countries, Undergraduate Students, Mental Health, Well Being
Roha M. Kaipa; Sarah Wendelbo – International Journal of Multilingualism, 2025
The research on language acquisition and retention has primarily focused on monolinguals and bilinguals, with comparatively few studies including trilinguals. To address this gap, the current study compares the acquisition and retention of a novel morphosyntactic rule in Spanish in twelve monolinguals, twelve bilinguals, and twelve trilinguals.…
Descriptors: Multilingualism, Second Language Instruction, Second Language Learning, Spanish

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