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Did Online Education Exacerbate Contract Cheating during COVID-19 in China? Evidence from Sina Weibo
Xiong, Yangchun; Pan, Zixuan; Yang, Ling – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The purpose of this study is to explore the correlation between contract cheating and online education in China, which has become a major concern due to the extensive promotion of online education worldwide amid the COVID-19 pandemic. Background: Contract cheating, also known as academic ghostwriting, refers to the act of students…
Descriptors: Foreign Countries, Correlation, Cheating, Online Courses
Tong, Yao; Zhan, Zehui – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…
Descriptors: MOOCs, Online Courses, Learning Analytics, Prediction
Huang, Kun; Law, Victor – Educational Technology & Society, 2022
Help seeking is a self-regulated learning strategy, and peer help is an important form of interaction in online education. Yet, students often do not seek help even at the cost of lower performance. To understand the factors behind online students' commitment to peer help, this study implemented a peer-help discussion forum in an online course and…
Descriptors: Help Seeking, Online Courses, Peer Relationship, Student Attitudes
E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
So, Joseph Chi-Ho; Ho, Yik Him; Wong, Adam Ka-Lok; Chan, Henry C. B.; Tsang, Kia Ho-Yin; Chan, Ada Pui-Ling; Wong, Simon Chi-Wang – IEEE Transactions on Learning Technologies, 2023
Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…
Descriptors: Predictor Variables, Higher Education, Online Courses, Correlation
Broadbent, Jaclyn; Howe, Wren D. W. – Distance Education, 2023
Online help-seeking refers to a learner's willingness to seek help in online learning environments. Counterintuitively, studies of help-seeking have found mixed results for the relationship between help-seeking and academic achievement. We hypothesized that these mixed findings might, in part, be accounted for by the confidence level of the…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
Jessica N. Torelli; Christina R. Noel; Kaitlin A. Morris; Evyn B. Hendrickson – Rural Special Education Quarterly, 2024
Effective use of classroom management practices is critical to creating positive classroom climates supporting students' academic and behavioral outcomes, and teachers in rural areas have a strong need for training in classroom management. One classroom management practice with significant support is behavior-specific praise (BSP). Research shows…
Descriptors: Online Courses, Electronic Learning, Peer Teaching, Coaching (Performance)
Angela M. Johnson – ProQuest LLC, 2021
The purpose of this phenomenological study is to understand "What are the lived experiences of online professional graduate students who utilize metacognitive study strategies for course success?". This study used Heidegger's hermeneutic approach to examine metacognitive study strategies in a graduate online master's level course.…
Descriptors: Course Content, Graduate Students, Metacognition, Learning Strategies
Meenakshi Verma; Anuj Verma; Gangu Naidu Mandala – Cogent Education, 2023
The present study has attempted to study the effects of depression, mental distress, and sleep disorders among students during the COVID-19 pandemic. Stress, mental distress, depression, sleep disorders, headaches, loneliness, screen fatigue, and high distress levels are common symptoms observed across the population. The study focused on the…
Descriptors: Sleep, Depression (Psychology), Stress Variables, COVID-19
Cherepiekhina, Olha; Turubarova, Anastasiia; Sysoiev, Oleksii; Derevyanko, Nataliya; Bulanov, Valerii – Advanced Education, 2023
This study aims to investigate the features of academic procrastination among higher education students in the context of forced online learning caused by the COVID-19 pandemic and wartime in Ukraine. Methods: A total of 789 higher education students enrolled in Ukrainian institutions participated in the study, responding to six questionnaires.…
Descriptors: Foreign Countries, College Students, COVID-19, Pandemics
John Paul Steele – ProQuest LLC, 2022
While student retention has always been the focus of the asynchronous online classroom improvements, the aspect of Technology Readiness of the instructor has not been explored. The integration of technology into the online instructors' classroom pedagogy fits into the mainstream online education model of Community of Inquiry (CoI), by which…
Descriptors: Technological Literacy, Teacher Competencies, Readiness, Technology Integration
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
Azman Ong, Mohd Hanafi; Mohd Yasin, Norazlina; Ibrahim, Nur Syafikah – Asian Association of Open Universities Journal, 2022
Purpose: Measuring internal response of online learning is seen as fundamental to absorptive capacity which stimulates knowledge assimilation. However, the evaluation of practice and research of validated instruments that could effectively measure online learning response behavior is limited. Thus, in this study, a new instrument was designed…
Descriptors: Online Courses, Student Surveys, Student Attitudes, Factor Analysis
Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
Rosar, Michaela; Weidlich, Joshua – Research and Practice in Technology Enhanced Learning, 2022
Creativity is an increasingly recognized construct in technology-enhanced learning. However, our understanding of how creativity interacts with the design of online learning environments to affect learning experiences is still limited. For example, do creative students benefit from different learning environment designs than those benefitting…
Descriptors: Online Courses, Creativity, Independent Study, Personality Traits