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Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
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Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
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Sghari, Amira; Bouaziz, Fatma – Interactive Technology and Smart Education, 2023
Purpose: This paper aims to focus on the intention to use of the Backstage game by teachers delivering entrepreneurship course at Tunisian public universities. A research model was developed based on a literature review of the variables that would affect the intention to use this game. Design/methodology/approach: Data were collected by survey…
Descriptors: Educational Games, Game Based Learning, Intention, College Faculty
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Kendell, Alyssa; Limback, Kylie; Lester, D. Kirk; Rogers, Robert S.; Creamer, Bradley A.; Dennis, Jennifer F. – Anatomical Sciences Education, 2023
At Kansas City University, anatomy laboratories were delivered via remote (REM) or on-campus (OC) formats due to COVID-19, creating an opportunity to evaluate student perceptions of differences in laboratory delivery format. A six-item survey of Likert scale and open-ended questions explored the utility of anatomy software, prelab instruction…
Descriptors: Universities, Anatomy, Science Laboratories, Distance Education
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Polat, Hamza; Delialioglu, Ömer – International Journal of Technology in Education, 2023
The literature has emphasized the positive impact of mobile technologies with augmentative and alternative communication (AAC) apps for enhancing the functional communication skills of individuals with autism spectrum disorders (ASD). Although various AAC apps are available, the system design of such apps presents assorted challenges, particularly…
Descriptors: Augmentative and Alternative Communication, Autism Spectrum Disorders, Telecommunications, Handheld Devices
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Chocarro, Raquel; Cortiñas, Mónica; Marcos-Matás, Gustavo – Educational Studies, 2023
The appearance of Artificial Intelligence implementations, such as text-based virtual assistants (chatbots) in education is relatively new. These implementations can be useful for helping teachers and students to solve both educational questions and routine tasks. This paper examines the factors that explain teachers' acceptance of chatbots…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Attitudes
Jason Ward – ProQuest LLC, 2023
The subject of chemistry is a cornerstone of high school science programs and a conceptual understanding of chemical equilibria and Le Chatelier's Principle continues to be both a fundamental and paradoxically difficult subject for educators and students. This study evaluated the effectiveness of a prototype immersive virtual reality environment.…
Descriptors: Computer Simulation, Intervention, Chemistry, Science Education
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K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
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Ju Wang; Lu Guo; Jing qi Gao; Hua Zhao – Education and Information Technologies, 2024
This study is based on a comprehensive review of existing literature. Drawing upon the theories of task-technology fit (TTF) and technology adoption model (TAM), an integrated theoretical framework is developed. The framework places adaptability as a critical outcome variable and quality standard. This study constructs a student-centered online…
Descriptors: Foreign Countries, Online Courses, Distance Education, Technology Integration
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George Koutromanos; Anastasios T. Mikropoulos; Dimitrios Mavridis; Christos Christogiannis – Education and Information Technologies, 2024
This study examines the factors that affect pre-service and in-service teachers' intention to use Mobile Augmented Reality (MAR) in their teaching through the proposed Mobile Augmented Reality Acceptance Model (MARAM). The MARAM builds on the existing Technology Acceptance Model (TAM) to incorporate four other components namely perceived relative…
Descriptors: Preservice Teachers, Physical Environment, Simulated Environment, Synthesis
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Jessica B. Koslouski; Sandra M. Chafouleas; Amy Briesch; Jacqueline M. Caemmerer; Brittany Melo – School Mental Health, 2024
We are developing the Equitable Screening to Support Youth (ESSY) Whole Child Screener to address concerns prevalent in existing school-based screenings that impede goals to advance educational equity using universal screeners. Traditional assessment development does not include end users in the early development phases, instead relying on a…
Descriptors: Screening Tests, Psychometrics, Validity, Child Development
Sara Clark – ProQuest LLC, 2024
This multiple descriptive case-study explored the perceptions and experiences of eight occupational therapy program academic fieldwork coordinators (AFWCs), regarding their usage of Formstack, as an online fieldwork data collection system. Previous survey research revealed that AFWCs had positive feelings about the new AOTA Fieldwork Performance…
Descriptors: Job Performance, Coordinators, Attitudes, Experience
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Yizhuo Zhou; Xuande Wu; Kunyang Qu – Language Teaching Research Quarterly, 2024
Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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Raza, Syed Ali; Khan, Komal Akram – Interactive Technology and Smart Education, 2022
Purpose: Collaboration, communication, critical thinking and creativity are the most essential Cs of education. However, at present, these Cs are interlinked with technology to make it more effective and reliable. Educational technology infuses higher education, many people use it on a daily basis. Students are eager to adopt such technologies…
Descriptors: Academic Achievement, Educational Technology, Higher Education, Internet
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Angelone, Anna Maria; Galassi, Alessandra; Vittorini, Pierpaolo – International Journal of Learning Technology, 2022
The adoption of computerised adaptive testing (CAT) instead of classical testing (FIT) raises questions from both teachers' and students' perspectives. The scientific literature shows that teachers using CAT instead of FIT should experience shorter times to complete the assessment and obtain more precise evaluations. As for the students, adaptive…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Freshmen, Student Attitudes
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