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Showing 1 to 15 of 45 results Save | Export
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Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
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Ana M. Gallardo-Guerrero; María J. Maciá-Andreu; Noelia González-Gálvez; Raquel Vaquero-Cristóbal; Marta García-Tascón – Education and Information Technologies, 2025
The main objectives of this research were to analyze the impact of the use of augmented reality (AR) for analyzing the safety of sport equipment, on the motivational climate, behavior, and intention to use, and to validate a theoretical model for predicting continuance intention to use AR among students. The sample consisted of 254 university…
Descriptors: Simulated Environment, Safety, Athletics, Equipment
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Al-Alawi, Lamees; Al Shaqsi, Jamil; Tarhini, Ali; Al-Busaidi, Adil S. – Education and Information Technologies, 2023
This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…
Descriptors: Artificial Intelligence, Predictor Variables, Academic Achievement, Grade Prediction
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Xingsu Wu; Chunyang Xu – Education and Information Technologies, 2025
This study, anchored in the empirical domain of student learning experiences, employs the Chaoxing Fanya network teaching platform to delineate a comprehensive model of factors that influence student learning experiences within the framework of blended collaborative learning. Through a rigorous synthesis of extant literature and qualitative…
Descriptors: Learning Experience, Blended Learning, Cooperative Learning, College Students
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Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
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Al-Harthi, Aisha Salim Ali; Ani, Wajeha Thabit Al – Education and Information Technologies, 2023
This study investigates the level of readiness for massive open online courses (MOOCs) of students in Oman. It compares the readiness of ordinary students in the Omani higher education institutions (HEIs) and those outside HEIs who took a MOOC from the larger Omani society and tests for the differences between their levels of readiness.…
Descriptors: Foreign Countries, MOOCs, Readiness, College Students
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Viberg, Olga; Engström, Linda; Saqr, Mohammed; Hrastinski, Stefan – Education and Information Technologies, 2022
In order to successfully implement learning analytics (LA), we need a better understanding of student expectations of such services. Yet, there is still a limited body of research about students' expectations across countries. Student expectations of LA have been predominantly examined from a view that perceives students as a group of individuals…
Descriptors: Learning Analytics, Student Attitudes, Expectation, College Students
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Kheira Ouassif; Benameur Ziani – Education and Information Technologies, 2025
The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…
Descriptors: Predictor Variables, College Students, Majors (Students), Decision Making
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Giulio Marchena Sekli; May Portuguez-Castro – Education and Information Technologies, 2025
This study presents an in-depth examination of the role of Generative Artificial Intelligence in enhancing entrepreneurial success, situated within the educational context of a leading business school in Peru. Utilizing the Technology-to-Performance Chain framework, the research integrates both qualitative and quantitative methodologies to explore…
Descriptors: Entrepreneurship, Success, Artificial Intelligence, Technology Uses in Education
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Huang, Tianyang – Education and Information Technologies, 2023
Online course learning is an important part of higher education curriculum. However, the factors influencing college students' online course learning behavior are poorly understood. The purpose of this study is to analyze the factors affecting college students' online course learning behavior. This study integrated the Information System Success…
Descriptors: College Students, Foreign Countries, Online Courses, Learning
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Simon, Jessica R.; Randall, Jason G. – Education and Information Technologies, 2022
Today's learners rely heavily on learning management systems (LMS) to access and submit coursework, receive feedback, interact with others, and track progress. The current study moves past the question of whether to use LMS, to uncover how LMS use affects learners. We drew on motivational theories of goal orientation to predict how frequently…
Descriptors: Predictor Variables, Addictive Behavior, Integrated Learning Systems, Student Motivation
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Jayoung Song; Juhee Lee – Education and Information Technologies, 2025
This study addresses the necessity of comprehending the remote learning environment for improving online course design and delivery. The primary objective is to investigate the impact of teaching, cognitive, and social presence, along with learner motivation from the Community of Inquiry framework, on students' learning satisfaction in both…
Descriptors: Synchronous Communication, Asynchronous Communication, Computer Mediated Communication, Distance Education
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Coskun, Tugra Karademir; Filiz, Ozan – Education and Information Technologies, 2023
New approaches are frequently used to provide students with twenty-first century skills. In this direction, robots are quickly integrated in today's educational environments. However, studies in which robots are integrated into the curriculum as a pedagogical tool and examine its effect on twenty-first century skills are limited. This research…
Descriptors: College Students, 21st Century Skills, Robotics, Achievement
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Ahmed, Waqas – Education and Information Technologies, 2023
Digital competence among business research students is heralded as a pragmatic expression of the quality of research output and effective collaboration. Self-Directed Learning (SDL) is a resourceful personal and professional development technique, yet there is minimal research on SDL for digital competence among business scholars. This study…
Descriptors: Technological Literacy, Business, Research, College Students
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Alam, Syed Shah; Masukujjaman, Mohammad; Ahmad, Maisarah; Jaffor, Romlah – Education and Information Technologies, 2023
Nowadays, the teaching methods are changed from offline to online primarily for the advent of the internet facility. The Industrial Revolution 4.0 ("Education 4.0") stresses offering online courses at the university level. The study aims to find out the factors influencing students' intentions to admit to online distance learning…
Descriptors: Online Courses, Student Attitudes, Intention, Distance Education
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