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Showing 1 to 15 of 21 results Save | Export
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Hao Lijie; Shahazwan Mat Yusoff; Anwar Farhan Mohamad Marzaini – Education and Information Technologies, 2025
This research examines the factors that affect critical thinking disposition (CTD) in Malaysian university students using AI-based educational technologies. It analyzes the impact of AI literacy (AIL), perceived ease of use (PEOU), perceived usefulness (PU), and motivation (MO) through the lens of the Technology Acceptance Model (TAM) and…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Technology Uses in Education
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Oguzhan Nacaroglu; Oktay Kizkapan; Hüseyin Demir – Psychology in the Schools, 2025
Science learning motivation refers to the drive and enthusiasm that students exhibit towards learning science. Science learning competencies, on the other hand, are the skills and knowledge enabling students to understand and apply scientific concepts effectively. Digital literacy, defined as the ability to effectively use digital tools and…
Descriptors: Middle School Students, Student Motivation, Science Education, Digital Literacy
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Khalid Arar; Miguel Guajardo; Anna Saiti; Eman Abo-Zaed Arar – Power and Education, 2025
There are many studies on the role of technology in facilitating equality, quality, and effectiveness in higher learning in the last decade. This study aims at exploring the sustainability of a postgraduate program in a USA context following the COVID surge. Relational assurance is employed through qualitative methods, and frameworks to make sense…
Descriptors: Influence of Technology, Sustainability, Instructional Leadership, Masters Programs
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Hanwei Wu; Yunsong Wang; Yongliang Wang – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on…
Descriptors: College Students, Artificial Intelligence, English (Second Language), Second Language Learning
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Li-Chen Cheng; Wei Li; Judy C. R. Tseng – Interactive Learning Environments, 2023
Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…
Descriptors: High School Freshmen, High School Seniors, Programming Languages, Foreign Countries
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Mariusz Kruk; Agnieszka Kaluzna – European Journal of Education, 2025
The integration of artificial intelligence (AI) in L2 teaching and learning is poised to revolutionise educational practices by enhancing both instructional methods and language development for L2 learners. This study employed a mixed-methods design to comprehensively examine the impact of AI tools, machine translation systems, and traditional…
Descriptors: Artificial Intelligence, Translation, Language Skills, Emotional Experience
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Yang Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
With the rapid advancement of information technology, the Intelligent Teaching System (ITS) has emerged as a pivotal tool in mathematics education. This paper aims to evaluate the effectiveness of ITS by exploring its impact on personalized learning, increased student interaction and participation, intelligent assessment and feedback, teacher…
Descriptors: Learning Management Systems, Mathematics Education, Technology Uses in Education, Student Participation
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Xinyi Wang; Mohd Nazri Bin Abdul Rahman; Mohd Shahril Nizam Shaharom – Cogent Education, 2024
Augmented reality (AR) technology is increasingly utilized in cognitive development and education of preschoolers. The Augmented Reality Integrated STEM Preschooler (ARISP) module combines AR technology with STEM (Science, Technology, Engineering, and Mathematics) in teaching and learning activity. This study aims to assess the impacts of the…
Descriptors: Foreign Countries, Preschool Education, STEM Education, Learning Activities
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Harju, Vilhelmiina; Koskinen, Antti; Pehkonen, Leila – Educational Research, 2019
Background: The importance of digital technologies for enhancing learning in formal education settings has been widely acknowledged. In the light of this expectation, it is important to investigate the effects of these technologies on students' learning and development. Purpose: This study explores longitudinal empirical research on digital…
Descriptors: Longitudinal Studies, Electronic Learning, Elementary Secondary Education, Influence of Technology
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Beck, Leesa; Wright, Alexis – College and University, 2019
The oldest Millennials are now well-established in their careers, requesting flex schedules so they can take their kids to soccer practice in the afternoons; they have little in common with the typical 18- to 22-year-old undergraduate in many college classrooms. For faculty at campuses serving primarily traditional students, it seems like a good…
Descriptors: Undergraduate Students, Age Groups, Student Characteristics, Cohort Analysis
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Kisanjara, S. B.; Tossy, T. M.; Sife, A. S.; Msanjila, S. S. – International Journal of Education and Development using Information and Communication Technology, 2017
Information and Communication Technologies have influenced the landscape of education sector by changing the way various education activities are being conducted. From the perspectives of Tanzania, this paper provides an integrated model for measuring the impact of e-learning on students' achievements in universities. A Mixed method research…
Descriptors: Electronic Learning, Academic Achievement, Developing Nations, Foreign Countries
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Blau, Gary; Drennan, Rob B.; Hochner, Arthur; Kapanjie, Darin – Journal of Education for Business, 2016
An online survey tested the impact of background, technological, and course-related variables on perceived learning and timely graduation for a complete data sample of 263 business undergraduates taking at least one online or hybrid course in the fall of 2015. Hierarchical regression results showed that course-related variables (instructor…
Descriptors: Undergraduate Students, Business Administration Education, Online Courses, Blended Learning
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Petkov, Marin; Rogers, George E. – Journal of STEM Teacher Education, 2011
In the past several decades, technology has become a big part of American society. It has changed the way people interact with one another as well as how they proceed with everyday life. However, K-12 educational systems have been resistive to change, with most American schools still using traditional instruction in the classroom, consisting…
Descriptors: Elementary Secondary Education, Interaction, Conventional Instruction, Educational Technology
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Vinther, Jane – Research-publishing.net, 2012
The number of students learning a second or foreign language and participating in instruction in languages other than English has been in decline for some time. This seems to be a general tendency across nations albeit for a variety of reasons idiosyncratic to the particular national conditions. This paper gives an account of a diversified…
Descriptors: Electronic Learning, Secondary School Curriculum, Second Language Instruction, Second Language Learning
Edwards, Rebecca – Educational Research Service, 2011
Teachers, more than any other person in the school, have the greatest potential to get students engaged in school and in learning. Creating student-directed learning experiences that challenge, stimulate, and engage kids not only raises test scores, it also fosters life-long learners prepared for success in today's globally connected world. This…
Descriptors: Learner Engagement, Student Attitudes, Reflection, Individualized Instruction
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