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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
Steven Beyer; Frederik Grave-Gierlinger; Lars Meyer-Jenßen – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Considering the widespread belief in the potential of mobile technology to enhance core activities of teachers, like lesson planning and preparation, limited research has been conducted on the use of mobile technology to support these activities. To address this research gap, this study delved into the acceptance of an intent-based chatbot…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Users (Information)
McCune, Jacqueline Christiane – ProQuest LLC, 2023
The purpose of this qualitative descriptive study was to understand how K-8 teachers in Nevada describe computational concepts, practices, and perspectives preparation in making them ready to teach computer science. Brennan and Resnick's computational thinking served as the theoretical framework for this study. Four research questions guided this…
Descriptors: Computation, Thinking Skills, Computer Science Education, Elementary School Teachers
Liu, Qingtang; Ma, Jingjing; Yu, Shufan; Wang, Qiyun; Xu, Suxiao – Journal of Science Education and Technology, 2023
The microscopic composition of substances is a piece of essential but abstract knowledge in chemistry. Junior high school students may experience difficulty in mental representation when learning micro concepts, which leads to problems such as unsatisfactory academic performance and low learning motivation. Augmented reality (AR) is an optimal…
Descriptors: Chemistry, Science Instruction, Grade 9, Scientific Concepts
Tamba, Georgiana Ioana; Iancu, Ioana – Research in Social Sciences and Technology, 2023
Digital communication is a great facilitator of human connection, positively contributing to life satisfaction and prosocial behavior. However, the existing findings also insist on the drawbacks of the digital communication, as low levels of wellbeing satisfaction, or happiness. Thus, aiming to reconciliate the two sets of assumptions and relying…
Descriptors: Telecommunications, Handheld Devices, Usability, Value Judgment

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