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Evan W. Dishong – ProQuest LLC, 2022
The view on education in the Appalachian region is not always painted in the best light. The concept that the low socio-economic stricken areas are low-performing and their inability to prepare its students for the next level is not always correct. Rather, these students and their education should not be dismissed, nor should these students be…
Descriptors: Learning Processes, Student Attitudes, Digital Literacy, Technology Integration
Yongliang Wang; Yongxiang Wang; Ziwen Pan; José Luis Ortega-Martín – Asia-Pacific Education Researcher, 2024
Various studies have been done on shifting toward technology-based second language (L2) education. However, the influence of psycho-emotional factors on students' technology acceptance is overlooked. To fill this gap, the present quantitative study examined the role of students' achievement emotions and technological self-efficacy in predicting…
Descriptors: Self Efficacy, Second Language Learning, Second Language Instruction, Student Attitudes
Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
Peter E. Doolittle; Krista P. Wojdak; C. Edward Watson; Dawn N. Adams; Gina Mariano – Journal of the Scholarship of Teaching and Learning, 2024
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were…
Descriptors: Undergraduate Students, Task Analysis, Critical Incidents Method, Self Efficacy
Thi Bao Quyen Phan; Quang Hung Bui; Ha Thanh Nguyen – Journal of Social Studies Education Research, 2024
The COVID-19 pandemic fundamentally reshaped higher education by forcing institutions into a rapid transition to online learning. Universities have had to quickly incorporate and adjust existing technical resources to accommodate this abrupt transition. This has also involved professors and researchers who may not possess a natural, technological…
Descriptors: Student Attitudes, College Faculty, Economics Education, Universities
Liangyong Xue; Abdullah Mat Rashid; Sha Ouyang – SAGE Open, 2024
This systematic review evaluates the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys…
Descriptors: Research Reports, Technology Uses in Education, Structural Equation Models, Foreign Countries
Miroslava Petrova; Claas Kuhnen – Design and Technology Education, 2025
Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…
Descriptors: Artificial Intelligence, Computer Software, International Cooperation, Institutional Cooperation
Albert Rof Bertrans; Andrea Bikfalvi; Pilar Marques – International Journal of Distance Education Technologies, 2025
Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…
Descriptors: Preferences, Student Attitudes, Artificial Intelligence, Computer Software
Volkan Duran – Digital Education Review, 2024
The burgeoning role of Artificial Intelligence (AI) in education prompts crucial discussions regarding its implications for teaching and learning. This qualitative study probes the argumentative perspectives of 118 teacher candidates from Igdir University on the integration of AI into educational practices. Employing Toulmin's (1958) model, we…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teacher Education Programs
Charles Buabeng-Andoh – International Journal of Education and Development using Information and Communication Technology, 2024
The rapid growth of technology worldwide has affected all spheres of life and business. Mobile learning technology has become affordable and easily accessible. Despite the numerous benefits of mobile learning technology in education, the problem of its implementation in teaching and learning still exists. Evidence suggests that teachers and…
Descriptors: Electronic Learning, Technology Uses in Education, Learning Processes, Teaching Methods
Kimberly Kirby Sigman – ProQuest LLC, 2023
This research presents that a closer look pertaining to learning style integrated with instructional technology within an educational setting is warranted. A better understanding of integrating instructional technology with learning styles and the impact on the learning process is possible if there is a closer look at the dynamic of…
Descriptors: Cognitive Style, Teaching Methods, Teacher Student Relationship, Correlation
Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
Salcedo, Ma Del Carmen Nolasco – International Journal of Education and Practice, 2022
Technology, globalization, and work environments are changing the educational environment which has necessitated to train teachers and students. Teachers who recognize the potential benefits of blended learning for student achievement are more likely to embrace the integration of technology and use it to improve classroom teaching and learning.…
Descriptors: Blended Learning, College Faculty, Teacher Attitudes, College Students
Muhammed Özcan; Serdar Yavuz – International Journal of Contemporary Educational Research, 2024
The course of development of technology, its speed in the recent period and the point it has reached have led our relationship with technology to become a necessity rather than a choice. In this respect, teaching activities that are not intertwined with technology and do not include digital elements will remain as practices that will not go beyond…
Descriptors: Listening Skills, Foreign Countries, Middle School Students, Grade 7
Imre Bende – Acta Didactica Napocensia, 2024
The continuous development of artificial intelligence-based tools makes their emergence inevitable in education as well as other fields of life. This article presents findings of a mixed method study aimed at investigating the current perceptions and potential applications of AI in Hungarian educational settings. Through interviews with high…
Descriptors: Readiness, Artificial Intelligence, Technology Uses in Education, Foreign Countries