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Jonathan Seiden – Annenberg Institute for School Reform at Brown University, 2025
Direct assessments of early childhood development (ECD) are a cornerstone of research in developmental psychology and are increasingly used to evaluate programs and policies in lower- and middle-income countries. Despite strong psychometric properties, these assessments are too expensive and time consuming for use in large-scale monitoring or…
Descriptors: Young Children, Child Development, Performance Based Assessment, Developmental Psychology
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Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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Ana M. Gallardo-Guerrero; María J. Maciá-Andreu; Noelia González-Gálvez; Raquel Vaquero-Cristóbal; Marta García-Tascón – Education and Information Technologies, 2025
The main objectives of this research were to analyze the impact of the use of augmented reality (AR) for analyzing the safety of sport equipment, on the motivational climate, behavior, and intention to use, and to validate a theoretical model for predicting continuance intention to use AR among students. The sample consisted of 254 university…
Descriptors: Simulated Environment, Safety, Athletics, Equipment
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Davinia Hernández-Leo; Karina Ginoyan – British Journal of Educational Technology, 2025
This paper explores the application of a benefits versus costs reflection approach within non-university teaching environments, grounded in the principles of Value-Sensitive Design. Aimed at integrating human values systematically into the adoption of digital educational tools, this study involved 136 in-service school teachers across various…
Descriptors: Cost Effectiveness, Technology Uses in Education, Teacher Attitudes, Reflective Teaching
Belinda Post McFerren – ProQuest LLC, 2024
The purpose of this qualitative descriptive study was to explore how online undergraduate students describe their use of instructional videos and their perceptions of the ease of use, usefulness, and enjoyment of instructional videos in colleges in the southeastern United States. According to the Technology Acceptance Model (TAM), the use of…
Descriptors: Undergraduate Students, Electronic Learning, Technology Uses in Education, Instructional Films
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Christopher D. Hromalik; William N. Myhill; Celestia A. Ohrazda; Nancy R. Carr; Stephanie A. Zumbuhl – International Journal of Inclusive Education, 2024
The Universal Design for Learning (UDL) framework has been shown to support instructors in the design of inclusive instructional learning environments. However, few studies have examined the effects of UDL professional development programmes for community college faculty and staff. The present study examined the effects of a four-day Universal…
Descriptors: Usability, Community Colleges, Inclusion, Professional Development
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Dana-Kristin Mah; Nele Groß – International Journal of Educational Technology in Higher Education, 2024
Faculty perspectives on the use of artificial intelligence (AI) in higher education are crucial for AI's meaningful integration into teaching and learning, yet research is scarce. This paper presents a study designed to gain insight into faculty members' (N = 122) AI self-efficacy and distinct latent profiles, perceived benefits, challenges, use,…
Descriptors: Artificial Intelligence, College Faculty, Technology Uses in Education, Self Efficacy
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Lily Gao; María Eugenia López-Pérez; Iguácel Melero-Polo; Andreea Trifu – Studies in Higher Education, 2024
Chatbots have transformed educational practices, and ChatGPT represents a significant development in this domain. However, more research is needed to determine how user perceptions influence the overall user experience with ChatGPT. To address this gap, this study investigates the role of ChatGPT, a revolutionary artificial intelligence --…
Descriptors: Learning Experience, Artificial Intelligence, Technology Uses in Education, Usability
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Yiming Liu; Lingyun Huang; Tenzin Doleck – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are emerging tools that convert abstract, complex information with visualizations to facilitate teachers' data-driven pedagogical decision-making. While many LADs have been designed, teachers' capacities for using such LADs are not well articulated in the literature. To fill the gap, this study provided a…
Descriptors: Learning Analytics, Teacher Attitudes, Self Management, Psychological Patterns
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Necati Vardar; Çagri Gümüs; Mehmet Akif Gündüz – Turkish Online Journal of Educational Technology - TOJET, 2024
Distance education and e-learning have become pivotal during the COVID-19 pandemic, offering a solution to maintain education continuity amidst restrictions. This study delves into the application of the Technology Acceptance Model (TAM) to assess the acceptance and utilization of e-learning among university students, with a particular focus on…
Descriptors: Foreign Countries, Distance Education, Electronic Learning, COVID-19
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Caleb Or – International Journal of Technology in Education and Science, 2024
The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…
Descriptors: Attitudes, Technological Literacy, Usability, Value Judgment
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Ratna Zuarni Ramli; Wan Zakiyatussariroh Wan Husin; Ahmed M. S. Elaklouk; Noraidah Sahari Ashaari – Interactive Learning Environments, 2024
Emerging technologies such as augmented reality are impacting the field of education, it can be seen in the attention given to technology, specifically augmented reality. Systematic reviews on research related to learning through augmented reality aim to find gaps of augmented reality in learning. However, there is a limited number of systematic…
Descriptors: Computer Simulation, Usability, Research Reports, Rating Scales
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Vaughan K. Collins; Catherine M. Corbin; Jill J. Locke; Clayton R. Cook; Mark G. Ehrhart; Kurt D. Hatch; Aaron R. Lyon – Grantee Submission, 2024
Although there are a growing number of implementation strategies to increase the adoption, fidelity, and sustainment of evidence-based practices (EBP), they are often complex and bulky, which can interfere with their widespread application. To address these challenges, the Helping Educational Leaders Mobilize Evidence (HELM) strategy was created…
Descriptors: Leadership, Usability, Evidence Based Practice, Program Implementation
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Chow, Jason C.; Sandbank, Micheal; Hampton, Lauren H. – Journal of Speech, Language, and Hearing Research, 2023
Meta-analyses can be used to comprehensively summarize the state of a given literature base, understand development and relations between constructs, and synthesize intervention effects to identify "what works for whom," all of which can directly inform research, practice, and policy. In this tutorial, we first argue that data reporting…
Descriptors: Data Use, Usability, Meta Analysis, Educational Research
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