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Showing 1 to 15 of 62 results Save | Export
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Senad Becirovic – Education and Information Technologies, 2024
This study aims to determine the factors influencing the efficient and successful use of LMS among university-level students. A multiperspective approach was performed using TAM3 and ISS framework to achieve the aforementioned aim. The survey was administered to 371 university students. Structural equation modeling (SEM) has been conducted to test…
Descriptors: College Students, Learning Management Systems, Accuracy, User Satisfaction (Information)
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Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Sri Wilda Albeta; Jimmi Copriady; Yustina; Radjawali Usman Rery – Education and Information Technologies, 2025
The present study aims to explore the factors influencing learning satisfaction in blended learning implementation. The two variables are attitude and motivation. In addition, this study aims to explain the difference between students' attitudes, motivation, and learning satisfaction based on gender and the scientific field. A number of 488…
Descriptors: Learning Motivation, Blended Learning, Student Attitudes, Student Satisfaction
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Lis Ângela De Bortoli; Ana Carolina Bertoletti De Marchi; Barbara Barbosa Neves – Education and Information Technologies, 2025
Older adults have unique learning needs that require distinct approaches, particularly in non-formal education settings, which are flexible, systematic, and less bureaucratic. Seeking methods to support these needs, this study explores agile culture--a people-centered, adaptable approach originally from software development that emphasizes…
Descriptors: Educational Gerontology, Older Adults, Cooperation, Planning
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Cathy Weng; Mona Adria Wirda – Education and Information Technologies, 2025
This study explores the relationship between student readiness for online learning and its impacts on engagement, satisfaction, and academic achievement in Indonesian higher education. Using a mixed-methods design, the quantitative phase employed Structural Equation Modeling (SEM) to reveal that online learning readiness significantly affects…
Descriptors: Foreign Countries, Electronic Learning, Learning Readiness, Learner Engagement
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Mengke Wang; Taotao Long; Na Li; Yawen Shi; Zengzhao Chen – Education and Information Technologies, 2025
Feedback plays an indispensable role in pre-service teachers' microteaching practice. It provides essential information about their microteaching performance, which is of great significance in their reflection and improvement. As AI and teaching analytics advance, feedback is no longer exclusively human-generated. AI technologies are increasingly…
Descriptors: Feedback (Response), Preservice Teachers, Microteaching, Reflection
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Yunqing Zhang; Xinmin Zheng; Bin Shen – Education and Information Technologies, 2024
Despite the growing importance of MOOCs and their application in face-to-face classes since 2020, driven by the COVID-19 pandemic, existing literature offers limited research on the factors affecting the quality of hybrid MOOC (hMOOC) learning, particularly from a psychological perspective. Thus, based on the 3P model of teaching and learning,…
Descriptors: Student Satisfaction, MOOCs, Information Dissemination, Educational Quality
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Yujie Zhou; Ge Cao; Xiao-Liang Shen – Education and Information Technologies, 2024
Online learning communities play a crucial role in delivering high-quality courses to a large number of learners. However, to maintain an economically sustainable and constantly evolving online learning ecosystem, it is essential to create a virtuous cycle from knowledge production to knowledge consumption by charging learners to incentivize…
Descriptors: Electronic Learning, Economics, Sustainability, Models
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Daniel Biedermann; Stella Kister; Jasmin Breitwieser; Joshua Weidlich; Hendrik Drachsler – Education and Information Technologies, 2024
Distractions are ubiquitous in today's technology-saturated environments, an issue that significantly impacts learning contexts employing digital technologies and yields detrimental effects on learning. Digital self-control tools, which aim to assist users in their efforts to reduce digital distractions, are numerous and readily available. Despite…
Descriptors: Self Control, College Students, Attention, Mass Media Use
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Fan Zhang; Shengbin Li; Qian Zhao; Zhipeng Huo – Education and Information Technologies, 2025
Prioritizing student satisfaction in higher education is crucial for delivering an educational experience that caters to students' needs, ultimately leading to improved learning outcomes and fostering gradual progress. In this paper, to identify the interactive teaching approach that best aligns with student expectations for a class of freshmen…
Descriptors: College Freshmen, Student Satisfaction, Interaction, Teaching Methods
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I-Hsiung Chang; Pi-Chun Hsu; Ru-Si Chen – Education and Information Technologies, 2024
This study investigates how trust influences parents' satisfaction with parenting apps. The study demonstrates that social ties and perceived value act as mediators between trust and user satisfaction. A questionnaire was conducted in Taiwan to test parents' perceptions of parenting apps, focusing particularly on user satisfaction and related…
Descriptors: Foreign Countries, Satisfaction, Trust (Psychology), Parent Attitudes
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Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
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Meina Zhu; Min Young Doo; Sara Masoud; Yaoxian Huang – Education and Information Technologies, 2025
This study examines the influences of learners' motivation, self-monitoring, and self-management on learning satisfaction in online learning environments. The participants were 185 undergraduates and 99 graduate students majoring in computer science and engineering. The participants' motivation, self-monitoring, self-management, and learning…
Descriptors: Student Satisfaction, Differences, Undergraduate Students, Graduate Students
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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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