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Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
Mara Kirdani-Ryan; Amy J. Ko – ACM Transactions on Computing Education, 2024
For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…
Descriptors: Neurodevelopmental Disorders, Stereotypes, Disabilities, Computer Attitudes
Ahmet Berk Ustun; Fatma Gizem Karaoglan-Yilmaz; Ramazan Yilmaz; Mehmet Ceylan; Orhan Uzun – Education and Information Technologies, 2024
The primary aim of the study is to develop an augmented reality (AR) acceptance scale within the framework of the unified theory of acceptance and use of technology (UTAUT) model to measure individuals' acceptance and use of AR technology. The study was performed with a total of 546 university students with three participant groups in the…
Descriptors: Test Construction, Computer Simulation, College Students, Test Reliability
Hanan Alkandari – Educational Process: International Journal, 2025
Background/purpose; There is an ongoing debate on the potentiality of using AI for educational purposes, ranging from some optimistic views that anticipate AI to continue changing the interface of language education on one side, to a more cautious camp questioning the efficacy of the issue. As a significant group of stakeholders in the educational…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Integration
Jose Gamez; Oscar Villalobos; Youngjin Lee; Kinshuk – International Association for Development of the Information Society, 2025
As technology tools, such as MyOpenMath, MyLab Math, RStudio, and Python become increasingly integrated into college-level mathematics instruction, it is essential to understand how students perceive and interact with these platforms. Many students struggle with confidence using computers and anxiety, which can hinder their ability to fully engage…
Descriptors: Measures (Individuals), Questionnaires, Student Attitudes, Technology Uses in Education
Kaden Hart; Christopher M. Warren; Seth Poulsen; John Edwards – International Educational Data Mining Society, 2024
We report on a study in which we examined the work habits of six students who agreed to use do not disturb on their phone while working on programming assignments. Two students tried do not disturb, and quickly quit using it. Three out of four remaining student participants were more productive while using do not disturb when working on their…
Descriptors: Telecommunications, Handheld Devices, Computer Use, Student Behavior
Valeria Froloviceva; Linda Daniela – Technology, Knowledge and Learning, 2025
This study highlights educators' challenges in orchestrating student interactions within technology-rich environments. Specifically, it investigates teachers' perceptions and their students' experiences in technology-enriched classrooms, focusing on internal school policies, provided ICT infrastructure, and teacher-student engagement with digital…
Descriptors: Technology Uses in Education, Teacher Attitudes, Student Experience, Educational Technology
Noor Saadiah Mohd Ali; Muhammad Ashraf Fauzi; Nurhafizah Saidin; Nurur Raudzah Md Nor; Nur Farrah Syazwanie Ismail; Noor Asiah Aling – International Review of Education, 2024
The COVID-19 pandemic has had immense consequences for education systems worldwide. Institutions had to quickly switch to remote teaching and learning (RTL) as an alternative delivery mode. The study presented here investigated the implementation of an e-learning system for Malaysian pre-university students. The study employed the "unified…
Descriptors: Foreign Countries, College Bound Students, Electronic Learning, COVID-19
Shala, Arif; Grajcevci, Albulene – Journal of Learning for Development, 2023
The current analysis aims to research the impact of ICT usage on students' achievement in the 2018 PISA assessment, specifically achievement in mathematics, science and reading scales. In this assessment, a total of 5,058 randomly selected students from 224 schools across Kosovo took part in the study. In addition, to the subscales assessing…
Descriptors: Internet, Academic Achievement, Foreign Countries, Achievement Tests
Yulianto, Ahmad; Pudjitriherwanti, Anastasia; Kusumah, Chevy; Oktavia, Dies – International Journal of Language Testing, 2023
The increasing use of computer-based mode in language testing raises concern over its similarities with and differences from paper-based format. The present study aimed to delineate discrepancies between TOEFL PBT and CBT. For that objective, a quantitative method was employed to probe into scores equivalence, the performance of male-female…
Descriptors: Computer Assisted Testing, Test Format, Comparative Analysis, Scores
San Pedro, Sweet Z.; Moore, Raeal – ACT, Inc., 2023
With the rapid advances in technology (e.g., the internet, hardware, and software), technology-supported learning environments have widely emerged in K-16 learning and instruction. A survey found that 73% of teachers had their students use smartphones to conduct internet searches, and almost half of students reported using e-readers and tablets to…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Computer Use
Ünal, Erhan; Uzun, Ahmet Murat; Kilis, Selcan – Education and Information Technologies, 2022
This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…
Descriptors: Foreign Countries, Secondary School Students, Socioeconomic Status, Gender Differences
Heidari, Elham; Moghaddam, Alireza; Salimi, Ghasem – Education and Information Technologies, 2023
This study intended to explore students' perceptions of cyberloafing and how they experience it in and out of class in a higher education institution and evaluate the prevalence of these behaviours among them. It is an area overlooked in a country that has extensively invested in information and communication technologies in its universities in…
Descriptors: College Students, Internet, Computer Use, Computer Mediated Communication
Leonardo D. Garma; Nuno S. Osório – Biochemistry and Molecular Biology Education, 2024
Dimensionality reduction techniques are essential in analyzing large 'omics' datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students…
Descriptors: Biochemistry, Molecular Biology, Science Instruction, Learning Experience
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure

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