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Shonn Cheng – Education and Information Technologies, 2024
Much research has been conducted on the relations between teacher beliefs, in terms of expectancies and values, and teaching with technology. However, findings have been inconsistent. Some studies reported that expectancies mattered more for teaching with technology, while others found that values played a more crucial role, and still others found…
Descriptors: Teachers, Technology Uses in Education, Computer Assisted Instruction, Teaching Methods
Ioseb Gabelaia – ProQuest LLC, 2024
The mastery of pedagogical analytical and digital literacy (PADL) emerges as a foundation, allowing higher education institutions (HEIs) faculty to navigate the challenges of the digital realm and modify teaching methods to meet the various learning needs of the students. This study aimed to explore the need for analytical literacy for faculty in…
Descriptors: Foreign Countries, Higher Education, Digital Literacy, Learning Analytics
Noh, Nur Hidayah Md; Amron, Mohd Talmizie – Asian Journal of University Education, 2021
The COVID-19 pandemic has altered nearly every aspect of life, including education. Technology has replaced face-to-face teaching and learning nearly totally. This health disaster has accelerated digitization in the world of education, which was previously only available without a repulsive factor. Cloud computing technology has been widely used…
Descriptors: Higher Education, Computer Uses in Education, Readiness, Foreign Countries
Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
Medina, Pamela; Vij, Nidhi; Ni, Anna; Zhang, Jing; Hou, Yunfei; McIntyre, Miranda May – International Journal of Adult Education and Technology, 2022
The COVID-19 pandemic heavily accelerated the adoption of online education. Technology adoption literature indicates that individuals are motivated to adopt technology as a result of various factors including social influence, performance expectations, effort expectations, and the conditions that facilitate their use. These factors are mediated by…
Descriptors: College Faculty, Teacher Attitudes, Web Based Instruction, Online Courses
Lindsay Kistler Mattock – Journal of Education for Library and Information Science, 2022
The information professions demand digitally literate practitioners who can navigate the increasingly complex technological environments of libraries and archives. While basic literacy is presumed among graduate students, many students express fear and anxiety when approaching new technologies. These psychological barriers have not been addressed…
Descriptors: Technological Literacy, Anxiety, Computer Attitudes, Library Education
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
Sungur Gül, Kibar; Ates, Hüseyin – Education and Information Technologies, 2023
The aim of this study is threefold: (1) to present a valid and reliable scale in the framework of the Technology Acceptance Model; (2) to reveal factors affecting pre-service science teachers' intentions to use technology-based STEM; (3) to examine the effect of technology-based STEM education training on pre-service science teachers' perceived…
Descriptors: Technology Uses in Education, Computer Attitudes, Adoption (Ideas), STEM Education
Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Muhammad Farrukh Shahzad; Shuo Xu; Muhammad Asif – British Educational Research Journal, 2025
The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. The use of GAI technologies in various fields, including education, has accelerated as technology develops. The widely used language model ChatGPT, developed by OpenAI, has become progressively more…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Computer Attitudes
Matthew Christopher Myers – ProQuest LLC, 2024
This study uses an experimental comparative design to accomplish two primary goals related teachers' perceptions of automated writing evaluation (AWE) performance. First, it quantitatively and qualitatively examines teachers' perceptions of the accuracy and trustworthiness of differentially performing AWE models. Second, it synthesizes interview…
Descriptors: Language Arts, Teacher Attitudes, English Teachers, Automation
Nurten Gündüz; Mehmet Sincar – International Journal of Contemporary Educational Research, 2024
The metaverse which is considered as the digital big bang of humanity and the next evolution of the internet is anticipated to offer a living environment for civilization 5.0 and beyond in various domains including education. Each novice technology that enters our daily lives generates also fear, anxiety, and problems as well as hope, benefit, and…
Descriptors: Higher Education, Computer Simulation, Ethics, Computer Security
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)
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