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Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
Al-Qaysi, Noor; Mohamad-Nordin, Norhisham; Al-Emran, Mostafa – Education and Information Technologies, 2020
A number of systematic reviews were conducted with respect to social media on the one hand, and the Technology Acceptance Model (TAM) application, on the other hand. However, analyzing the TAM in social media context is still questioned and requires further examination. The main objective of this systematic review is to analyze the up-to-date…
Descriptors: Social Media, Literature Reviews, Models, Computer Attitudes
Bardakci, Salih; Kocadag Ünver, Tugba – Education and Information Technologies, 2020
Many factors might influence the current place and the role of information and communication technologies (ICTs) in social quarters, including education. One such factor might become one's conceptions of technology. From this point of view, the purpose of this study is to examine preservice ICT teachers' technology metaphors by linking to concepts…
Descriptors: Preservice Teachers, Information Technology, Computer Attitudes, Student Attitudes
Zhao, Yang; Wang, Ning; Li, Yixuan; Zhou, Ruoxin; Li, Shuangshuang – British Journal of Educational Technology, 2021
The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these…
Descriptors: Cultural Differences, Electronic Learning, Student Attitudes, Computer Attitudes
Al-Nuaimi, Maryam N.; Al-Emran, Mostafa – Education and Information Technologies, 2021
Technology acceptance has become one of the dominant research trends in the domain of learning management systems (LMSs). While a plethora of several research studies conducted in this area, there is still a scarcity of knowledge concerning a holistic review and taxonomy of studies in this field. Thus, the main objective of this systematic review…
Descriptors: Integrated Learning Systems, Computer Attitudes, Higher Education, Adoption (Ideas)
Seçim, Ela Sümeyye; Durmusoglu, Mine Canan; Çiftçioglu, Mustafa – International Journal of Computer Science Education in Schools, 2021
This study investigated preschool children's opinions on educational robots using their robot drawings. The study group consisted of 64 five- and six-years old children in an independent kindergarden affiliated to the Ministry of National Education (MoNE) in Ankara province, Turkey and participated in the Preschool Robotics Coding Workshop within…
Descriptors: Preschool Children, Student Attitudes, Robotics, Freehand Drawing
Irum Alvi; Hager Khechine – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning, which emphasises cooperative group techniques, intersects with the evolving role of social media as a tool. Understanding how cultural values influence these dynamics is crucial for effectively integrating and utilising social media into collaborative learning environments. Objective: This research aims to…
Descriptors: Foreign Countries, College Students, Student Attitudes, Engineering Education
Ting-Chia Hsu; Mu-Sheng Chen – Education and Information Technologies, 2025
This study aimed to compare the effectiveness of the experiential learning cycle (ELC) and self-regulated learning (SRL), both implemented through a game-based approach (AI 2 Robot City board game), in fostering computational thinking (CT) and understanding of artificial intelligence (AI) applications in university level. The sample consisted of…
Descriptors: College Freshmen, Artificial Intelligence, Logical Thinking, Teaching Methods
Shuchen Guo; Lehong Shi; Xiaoming Zhai – Education and Information Technologies, 2025
As artificial intelligence (AI) receives wider attention in education, examining teachers' acceptance of AI (TAAI) becomes essential. However, existing instruments measuring TAAI reported limited validity evidence and faced some design challenges, such as missing informed definitions of AI to participants. To fill this gap, this study developed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, Test Construction
Godfrey Chitsauko Muyambi; Mmankoko Ziphorah Ramorola – Education and Information Technologies, 2025
South African schools are increasingly integrating digital technology into their curricula to enhance educational outcomes. This study aims to evaluate educators' readiness to teach using digital media (DM) and the effectiveness of the e-learning policy in addressing disparities across schools. The hypothesis is that disparities in access to…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Computer Attitudes
Iddrisu Salifu; Francis Arthur; Bernard Yaw Sekyi Acquah; Ernest Opoku; Sharon Abam Nortey; Eric Boateng – Discover Education, 2025
This study based on an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, examines factors influencing graduate students' behavioural intention towards adoption and actual use of generative artificial intelligence (GenAI). Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial…
Descriptors: Graduate Students, Technology Uses in Education, Artificial Intelligence, Foreign Countries
Ferhan Sahin; Hatice Guler; Mehmet Akif Hasiloglu – Turkish Online Journal of Distance Education, 2025
The empirical evidence regarding the acceptance and use of hybrid education and online instructional technologies in mandatory educational contexts remains limited. Specifically, studies addressing instructors' acceptance and usage of these technologies in the context of hybrid education are even scarcer. This study aims to fill this gap by…
Descriptors: College Faculty, Computer Attitudes, Teacher Attitudes, Teacher Surveys
Benjamin Brummernhenrich; Christian L. Paulus; Regina Jucks – British Journal of Educational Technology, 2025
Generative AI systems like chatbots are increasingly being introduced into learning, teaching and assessment scenarios at universities. While previous research suggests that users treat chatbots like humans, computer systems are still often perceived as less trustworthy, potentially impairing their usefulness in learning contexts. How are…
Descriptors: Higher Education, Artificial Intelligence, College Students, Feedback (Response)
Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence

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