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Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
Hon Keung Yau; Jia Hui Chao – Turkish Online Journal of Educational Technology - TOJET, 2023
The present study assesses the efficacy of online education in the context of the COVID-19 outbreak, scrutinizes its merits and demerits, pinpoints encountered challenges, and presents targeted solutions. We used the survey in this study. Totally 312 questionnaires were collected. The findings indicate that learners expect online instruction to…
Descriptors: COVID-19, Pandemics, Instructional Effectiveness, Electronic Learning
Mavis S. B. Mensah; Keren N. A. Arthur; Enoch Mensah-Williams – E-Learning and Digital Media, 2024
This study examines the factors that influence the intention and actual use of e-learning in entrepreneurship education by undergraduate students. The paper relies on a predictive study design and the partial least squares structural equation modelling to analyse data from a cluster sample of 599 students from the University of Cape Coast, Ghana.…
Descriptors: Entrepreneurship, Undergraduate Students, Electronic Learning, Foreign Countries
Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
Ayesha Farooq; Tanveer Shah; Farwa Amin – Journal of Educators Online, 2024
The present research was carried out to explore the relationship between academic procrastination and academic performance among virtual and conventional university students. The role of the demographic characteristics of the participants was also explored. Nonprobability convenience sampling technique was used to select a sample of 200 students.…
Descriptors: Time Management, Student Behavior, Academic Achievement, In Person Learning
Hellings, Jan; Haelermans, Carla – Higher Education: The International Journal of Higher Education Research, 2022
We use a randomised experiment to study the effect of offering half of 556 freshman students a learning analytics dashboard and a weekly email with a link to their dashboard, on student behaviour in the online environment and final exam performance. The dashboard shows their online progress in the learning management systems, their predicted…
Descriptors: Learning Analytics, College Freshmen, Student Behavior, Electronic Learning
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Charles Buabeng-Andoh – International Journal of Education and Development using Information and Communication Technology, 2024
The rapid growth of technology worldwide has affected all spheres of life and business. Mobile learning technology has become affordable and easily accessible. Despite the numerous benefits of mobile learning technology in education, the problem of its implementation in teaching and learning still exists. Evidence suggests that teachers and…
Descriptors: Electronic Learning, Technology Uses in Education, Learning Processes, Teaching Methods
Jeffrey M. Welch – ProQuest LLC, 2021
The purpose of this causal-comparative study was to compare graduation rates, defined as completing high school within five years, of students who learned online in Oregon virtual schools to students who attended traditional schools. The study utilized longitudinal data provided by the Oregon Department of Education connected to…
Descriptors: Achievement Gap, High Schools, Electronic Learning, Conventional Instruction
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Sidik, Darlan; Syafar, Faisal – Education and Information Technologies, 2020
This study proposes to explore the key factors influencing the university students' intention to use mobile learning system in Indonesia. For this purpose, four direct factors incorporated into the Unified Theory of Acceptance and Use Technology (UTAUT): performance expectancy, effort expectancy, external influence, quality of services and another…
Descriptors: Student Behavior, College Students, Intention, Electronic Learning
Littenberg-Tobias, Joshua; Ruiperez Valiente, Jose; Reich, Justin – International Review of Research in Open and Distributed Learning, 2020
The relationship between pricing and learning behavior is an important topic in research on massive open online courses (MOOCs). We report on two case studies where cohorts of learners were offered coupons for free certificates to explore how price reductions might influence behavior in MOOC-based online learning settings. In Case Study 1, we…
Descriptors: Student Behavior, Online Courses, Student Costs, Student Participation
Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
Kirk Vanacore; Adam Sales; Alison Liu; Erin Ottmar – Society for Research on Educational Effectiveness, 2023
Background: Persisting after experiencing difficulty allows students to work in the upper ends of their zones of proximal development, where most learning occurs (Ventura et al., 2013; Vygotsky & Cole, 1978). Digital educational games promote productive persistence by allowing students to repeat the same or similar problems until they reach…
Descriptors: Academic Persistence, Game Based Learning, Failure, Algebra
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