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Chai, Huanyou; Hu, Tianhui; Niu, Gengfeng – Education and Information Technologies, 2023
Research on online learning effectiveness has experienced a shift towards focusing on learner characteristics or differences. However, little attention has been paid to learners' personality traits, especially those that highly match with the environmental characteristics of online learning. Guided by recent active learning approach and Model of…
Descriptors: Undergraduate Students, Personality Traits, Online Courses, Academic Achievement
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Gao, Li – Education and Information Technologies, 2023
Reading is one of the crucial aspects of the learning process. The learning efficiency depends on the motivation and involvement of students. The paper aims to determine whether the developed online course enhances student motivation and engagement in contemporary American literature. For this purpose, questionnaires were used. The sample…
Descriptors: Foreign Countries, Secondary School Students, English Language Learners, English Literature
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Tran-Duong, Quoc Hoa – Education and Information Technologies, 2023
Nowadays, online learning is already ubiquitous in the education of most countries and is one of the fastest-growing trends in the use of educational technology. However, despite literature on the effectiveness of online learning, little is known about the influence of student media literacy on effective learning outcomes in online learning. The…
Descriptors: Foreign Countries, College Students, Media Literacy, Online Courses
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Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
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Rõõm, Marili; Luik, Piret; Lepp, Marina – Education and Information Technologies, 2023
Learners' success in Massive Open Online Courses (MOOCs) and the factors influencing it have previously been examined mainly upon completion of the course. This approach does not reveal whether learners are fulfilling their initial intentions regarding MOOCs and which factors affect it and thus the individual success of the learners. This…
Descriptors: Academic Achievement, MOOCs, Programming, Computer Science Education
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Wang, Wei-Tsong; Lin, Ying-Lien; Lu, Hsin-En – Education and Information Technologies, 2023
Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims…
Descriptors: Computer Simulation, Online Courses, COVID-19, Pandemics
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Mamedova, Larisa; Rukovich, Alexander; Likhouzova, Tetiana; Vorona-Slivinskaya, Lubov – Education and Information Technologies, 2023
The World Health Organization announced the COVID-19 pandemic, which led to considerable disruption of the global education system and required an early adaptation of the educational process. In addition to the resumption of the educational process, it was necessary to preserve the academic performance of students of higher educational…
Descriptors: Academic Achievement, Engineering Education, Chemistry, Foreign Countries
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Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
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Hao, Jia; Gan, Jianhou; Zhu, Luyu – Education and Information Technologies, 2022
In order to analyze the non-linear and uncertain relationships among the student-related features, curriculum-related features as well as the environment-related features, and then quantify the corresponding impacts on students' final MOOC performance in a valid way, we first construct a Students' performance Prediction Bayesian Network (SPBN) via…
Descriptors: Online Courses, Academic Achievement, Prediction, Student Improvement
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Balci, Sebiha; Secaur, Jonathan M.; Morris, Bradley J. – Education and Information Technologies, 2022
Gamification, or the intentional use of gaming elements in non-game contexts, has been touted as a promising tool to improve educational outcomes in online education, yet the evidence regarding why it might work and its effectiveness is inconclusive. One reason is that previous research has often included several gamification tools together,…
Descriptors: Academic Achievement, Program Effectiveness, Student Motivation, Game Based Learning
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Chaker, Rawad; Impedovo, Maria Antonietta – Education and Information Technologies, 2021
The aim of this paper is to track down elements of self-regulated learning in a massive open online course regarding social capital. Specifically, the study is oriented to explore the relationship between feeling of belonging to an online community and individual and collective regulation of learning. For this aim, a combination of two already…
Descriptors: Social Capital, Online Courses, Large Group Instruction, Independent Study
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Baltà-Salvador, Rosó; Olmedo-Torre, Noelia; Peña, Marta; Renta-Davids, Ana-Inés – Education and Information Technologies, 2021
The unprecedented situation of the COVID-19 pandemic has caused the closure of universities worldwide and has forced the transition to online learning. This exceptional context compels us to understand students' experience with online learning. Previous literature identifies relevant factors that intervene in the online education experience and…
Descriptors: Academic Achievement, Emotional Response, Mental Health, Instructional Effectiveness
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Anthonysamy, Lilian – Education and Information Technologies, 2021
The primary objective of this study is to evaluate the relationship between the use of metacognitive strategies and learning performance in online learning among university students. The global lockdown due to the COVID-19 global pandemic outbreak has resulted in major interruptions in students' learning and education at all levels around the…
Descriptors: Metacognition, Learning Strategies, Electronic Learning, College Students
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Upadhyaya, Pallavi; Vrinda – Education and Information Technologies, 2021
There has been increasing interest among researchers to understand the negative effects of technology, in the last two decades. Technostress or stress induced due to technology is extensively reported in the literature, among working professionals. Even though there has been an increased proliferation of digital devices in academia, there is a…
Descriptors: Foreign Countries, Stress Variables, Productivity, College Students
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Oyelere, Solomon Sunday; Olaleye, Sunday Adewale; Balogun, Oluwafemi Samson; Tomczyk, Lukasz – Education and Information Technologies, 2021
This study uses the quantitative research approach to examine the connection between students' teamwork experience, self-regulated learning, technology self-efficacy, and performance in an online educational technology course. Sixty-three (63) students participated in this study. The study data were collected through an online questionnaire that…
Descriptors: Teamwork, Student Experience, Learning Strategies, Academic Achievement
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