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No Child Left Behind Act 20013
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Laszlo Bognar; Myint Swe Khine – Journal of Education and e-Learning Research, 2025
This study investigates the shift in the use of AI-based chat tools in higher education focusing on changes in student engagement, learning behavior, and perceptions during a heavily AI-integrated semester. The research is based on pre- and post-semester surveys conducted among students from diverse demographic backgrounds and academic disciplines…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Ana Castellano-Beltran; Rafael Carballo; Anabel Moriña – Education and Information Technologies, 2025
The use of technology in higher education has been shown to have multiple learning benefits, providing great help to all students. However, more evidence is needed on the benefits of technology for inclusive higher education through the analysis of classroom practices. This study aimed to analyse the advantages and limitations identified by…
Descriptors: Educational Technology, Technology Uses in Education, Inclusion, Higher Education
Y. Vijaya Lakshmi; I. Majid – Online Submission, 2025
In light of the rapid shift towards digital learning environments, assessing students' e-learning readiness is vital in developing countries, where unique infrastructural and socio-cultural challenges impact education. The study examines the e-learning readiness of 909 university students through the data collected using a self-developed…
Descriptors: Learning Readiness, Electronic Learning, College Students, Student Attitudes
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Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
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Renjie Song; Yaru Zheng – SAGE Open, 2024
Learning Management Systems (LMS) are crucial in modern educational technology, enhancing education through personalized support, efficient resource management, and data-driven decision-making. LMS holds a pivotal position in contemporary higher education. This research explores undergraduate students' continued learning intentions, grounded in…
Descriptors: Intention, Learning Management Systems, Undergraduate Students, Educational Technology
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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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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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Franziska Wehrhahn; Robert Gaschler; Fang Zhao – Psychology Learning and Teaching, 2024
Online-only course design has to balance students' needs to experience (1) competence and (2) autonomy as it may affect their motivation. Lecture units can provide structured guidance by being made accessible in a fixed order, or support students' autonomy by providing free access to all lecture units. Online-only courses with lecture units…
Descriptors: Guidance, Asynchronous Communication, Online Courses, Student Attitudes
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Jing Yan; Shihui Liu; Catherine Armwood-Gordon; Lin Li – Education and Information Technologies, 2024
According to NSF (2017), even though the number of minority students in America's college-age population has been on the rise, those who choose Science, technology, engineering, and mathematics (STEM) as their majors are significantly fewer. There is an urgent need for African Americans, being the underrepresented minorities in STEM-related…
Descriptors: Flipped Classroom, Minority Group Students, STEM Education, Majors (Students)
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Ka Yan Fung; Kwong Chiu Fung; Tze Leung Rick Lui; Kuen Fung Sin; Lik Hang Lee; Huamin Qu; Shenghui Song – Smart Learning Environments, 2025
In recent years, there has been a growing interest in using robots within educational environments due to their potential to augment student engagement and motivation. However, current research has not adequately addressed the effectiveness of these robots in facilitating inclusive learning for diverse student populations, particularly those with…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Interaction
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Laura McNeill; Bernadette Beavers-Forrest; Margaret Rice; Angela Benson; Stephen Abu – Online Journal of Distance Learning Administration, 2024
As Ph.D. education continues to evolve, hybrid programs have gained popularity by offering flexibility and accessibility to diverse student populations. However, a critical gap exists in understanding how students develop and maintain academic relationships and scholarly community in these environments. Specifically, research has not sufficiently…
Descriptors: Doctoral Students, Blended Learning, Student Attitudes, Doctoral Programs
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Amr M. Mohamed; Tahany S. Shaaban; Sameh H. Bakry; Francisco D. Guillén-Gámez; Artur Strzelecki – Innovative Higher Education, 2025
This study aimed to investigate how AI impacts students' intrinsic motivation and learning experiences in various cultural and academic settings. An analysis of the effects of AI-powered learning tools on intrinsic motivation and learning enhancement was conducted in early 2024. The study recruited 455 students (192 males and 263 females) from…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Teacher Education Curriculum
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Adam Carreon; Amber Rowland; Sean Smith; Alisa Lowery; Maggie Mosher – Journal of Special Education Technology, 2025
Virtual Reality (VR) and immersive instruction hold great promise to alter instruction for students with autism spectrum disorder (ASD). Yet, the voices of the direct users (e.g., the teachers and students) are often underutilized or not at all utilized in the creation of educational applications, particularly in the field of VR. The purpose of…
Descriptors: Computer Simulation, Educational Environment, Autism Spectrum Disorders, Students with Disabilities
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Alshaye, Ibrahim Abdullah; Tasir, Zaidatun; Jumaat, Nurul Farhana – Contemporary Educational Technology, 2023
Social media, such as Twitter, have skyrocketed in popularity over the past few years. In fact, social media have been widely used by students and instructors as teaching and learning tools. In response to the increasing use of Twitter in the educational field, we have collected ten studies between 2011 to 2020 in order to assess the relationship…
Descriptors: Social Media, Learner Engagement, Grades (Scholastic), Correlation
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Chien-Huey Sophie Chang; Ching-Yi Chen; Chih-Chen Kuo; Huei-Tse Hou – Educational Technology & Society, 2024
This study aimed to use a game-based learning (GBL) module with multi-scaffolding and mobile technology for high school students with mild intellectual disabilities (MID) to assist them in learning career education knowledge. This study used a quasi-experimental method to investigate the participants' learning effectiveness, motivation, flow…
Descriptors: Game Based Learning, Vocational Education, High School Students, Mild Intellectual Disability
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