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Shan Li; Xiaoshan Huang; Lijia Lin; Fu Chen – British Journal of Educational Technology, 2024
Upvotes serve important purposes in online social annotation environments. However, limited studies have explored the influential factors affecting peer upvoting in online collaborative learning. In this study, we analysed the factors influencing students' upvotes received from their peers as 91 participants utilized Perusall, an online social…
Descriptors: Documentation, Internet, Computer Mediated Communication, Peer Relationship
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Yao, Shu-Nung; Liang, Chaoyun – IEEE Transactions on Learning Technologies, 2023
Image processing-based augmented reality (AR) is widely used in several fields. However, audio content is also crucial in certain cases, for example, focusing on appreciating artwork in a museum, rather than a virtually synthesized image. In this study, an attempt was made to provide ubiquitous learning (u-learning) services by using audio AR for…
Descriptors: Computer Simulation, Electronic Learning, Audio Equipment, Educational Technology
Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
Özbey, Muhammed; Kayri, Murat – Education and Information Technologies, 2023
In this study, the factors affecting the transactional distance levels of university students who continue their courses with distance education in the 2020-2021 academic years due to the COVID pandemic process were examined. Factors that affect transactional distance are modeled with Artificial Neural Networks, one of the data mining methods.…
Descriptors: College Students, Distance Education, Electronic Learning, Anxiety
Khan, Eijaz Ahmed; Cram, Andrew; Wang, Xiaoxia; Tran, Khanh; Cavaleri, Michelle; Rahman, Md Jahidur – International Journal of Educational Management, 2023
Purpose: Critically, to improve and manage online learning quality (OLQUAL), higher education providers need to regularly measure OLQUAL. Hence, a reliable measure of OLQUAL in higher education from the students' perspective is indispensable. Further, as a pioneer in examining OLQUAL outcomes in the online education context, we assert that…
Descriptors: Electronic Learning, Educational Quality, Student Satisfaction, Trust (Psychology)
Okumus Dagdeler, Kübra – Smart Learning Environments, 2023
With rapid development of mobile technology, the number of researches on its use in language education process has increased. This growing body of interest has led to a need for review studies that are expected to explain the literature and the trend in the field succinctly. Based on this ground, this study aimed to review the studies conducted on…
Descriptors: Vocabulary Development, Learning, Handheld Devices, Educational Research
Negm, Eiman – Higher Education, Skills and Work-based Learning, 2023
Purpose: This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning. Design/methodology/approach: Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An…
Descriptors: College Students, Technological Literacy, Readiness, Internet
Parisi, Michelle; McFall, Danielle; Ankomah, Samuel; Dietz, Christina J.; Kanny, Samantha; Jones, Kadalynn Grace; Stancil, Michelle; Sherrill, Windsor Westbrook – Health Education Journal, 2023
Objective: The objective of this study was to investigate how a 1-hour education session that highlights American Heart Association/American Diabetes Association's Know Diabetes by Heart (KDBH) messaging changed the knowledge and behavioural intention of participants. Design: Single group, quasi-experimental study evaluating the impact of the KDBH…
Descriptors: Diabetes, Physical Health, Heart Disorders, Medicine
Trespalacios, Jesús; Uribe-Flórez, Lida; Lowenthal, Patrick R.; Lowe, Scott; Jensen, Shawna – American Journal of Distance Education, 2023
The purpose of this study was to explore new online students' perceptions of self-efficacy and satisfaction with institutional resources. A mixed methods approach was used to better understand online students' perceptions. During the first phase of the study, 155 new online graduate students were surveyed about the importance and their…
Descriptors: Graduate Students, Electronic Learning, Distance Education, Student Attitudes
Buttler, Timothy; Scheurer, Jacob – Perspectives in Education, 2023
Due to the emergence of Covid-19, many educators moved from a face-to-face teaching environment to an online microteaching setting using Zoom. This study explores pre-service teachers' perspectives on microteaching within Zoom's breakout rooms. The authors approached this study from a positivist-postpositivist perspective employing a mixed-methods…
Descriptors: Student Attitudes, Preservice Teachers, Videoconferencing, Microteaching
Salimi, Nahal; Gere, Bryan; Talley, William; Irioogbe, Bridget – Journal of College Student Psychotherapy, 2023
Students' mental health problems are a growing concern in higher education. In recent times, these concerns have doubled due to the significant socioeconomic, political, and technological changes in the world. With the emergence of the ongoing novel COVID-19 pandemic, students in higher education are faced with increased mental health challenges.…
Descriptors: College Students, Mental Health, COVID-19, Pandemics
Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
Holloway, Jessica; Lewis, Steven; Langman, Sarah – Learning, Media and Technology, 2023
This paper interrogates whether technical democracy is well-suited to contend with possible technical controversies, including the increasing prevalence of EdTech in public schooling. Drawing across Habermasian 'deliberative democracy' that seeks consensus-derived resolution, as well as more agonistic approaches that embrace conflict as the means…
Descriptors: Educational Technology, Democracy, Public Schools, Electronic Learning
An, Yunjo – TechTrends: Linking Research and Practice to Improve Learning, 2023
Despite the growing body of studies on gamification, there is a paucity of research investigating the specific emotional outcomes of gamified experiences. Most gamification studies have focused primarily on positive emotions such as enjoyment. In addition, most gamification studies in educational contexts have been conducted with undergraduate…
Descriptors: Gamification, Doctoral Students, Student Attitudes, Psychological Patterns

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