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Alan Peslak; Lisa Kovalchick; Wenli Wang; Paul Kovacs – Information Systems Education Journal, 2023
Are students who prefer online education different from those who prefer on-ground education, and how? This is an important question because educational institutions need to better understand student segmentations. This research examined 251 survey responses from students enrolled in Computer Information Systems courses at three universities over…
Descriptors: Higher Education, Information Systems, Courses, Electronic Learning
Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Villarreal-Treviño, Maria Guadalupe; Villarreal-Lozano, Ricardo Jesus; Morales-Martinez, Guadalupe Elizabeth; Lopez-Ramirez, Ernesto Octavio; Flores-Moreno, Norma Esthela – European Journal of Educational Research, 2017
This study explored in a sample of 560 high level education students their judgment formation to perceived self-efficacy to solve mathematical tasks. Students had to read 36 experimental vignettes describing educative scenarios to learn mathematics. Each scenario presented four manipulated pieces of information (learning modality, task difficulty,…
Descriptors: Engineering Education, Self Efficacy, Electronic Learning, Synchronous Communication
Chang, Chi-Cheng; Warden, Clyde A.; Liang, Chaoyun; Chou, Pao-Nan – Journal of Computer Assisted Learning, 2018
This study examines differences in English listening comprehension, cognitive load, and learning behaviour between outdoor ubiquitous learning and indoor computer-assisted learning. An experimental design, employing a pretest-posttest control group is employed. Randomly assigned foreign language university majors joined either the experimental…
Descriptors: Listening Comprehension, Cognitive Processes, Difficulty Level, Computer Assisted Instruction
Ozyurt, Hacer – Turkish Online Journal of Distance Education, 2014
In line with recently developing technology, distant education systems based on information technologies are started to be commonly used within higher education. Students' satisfaction is one of the vital aspects in order to maintain distant education efficiently and achieving its goal. As a matter of the fact, previous studies proved that student…
Descriptors: Foreign Countries, Distance Education, Computer Science Education, Satisfaction
Athens, Wendy – Online Learning, 2018
In an effort to characterize perceptions of learning community and engagement in relation to success for underrepresented populations of online learners at a public institution in southeastern United States, a survey was conducted in Spring 2016. The results of the survey were paired with institutional data to create a baseline engagement and…
Descriptors: Disproportionate Representation, Learner Engagement, Enrollment, Online Courses
Sorensen, Chris; Donovan, Judy – Online Learning, 2017
Online learning has continued to grow in recent years. However, retaining students in online courses and programs has posed a challenge. Whether the university is public, private, offers both face-to-face and online programs, or is 100% online, retaining students in online programs can be an issue. This study reflects the widespread desire at a…
Descriptors: College Students, Private Colleges, Proprietary Schools, Online Courses
Hershkovitz, Arnon; Hardof-Jaffe, Sharon; Nachmias, Rafi – Journal of Interactive Learning Research, 2014
This study presents an empirical investigation of the relationship between the hierarchical structure of content delivered to students within a Learning Management System (LMS) and its actual consumption. To this end, campus-wide data relating to 1,203 courses were collected from the LMS' servers and were subsequently analyzed using data mining…
Descriptors: Integrated Learning Systems, Vertical Organization, Courses, Electronic Learning
Trad, Laura; Katt, James; Miller, Ann Neville – Communication Education, 2014
Instructor nonverbal immediacy has been associated with a range of positive student outcomes, but it is difficult to convey in an online environment. We investigated whether the text-based variable of face threat mitigation (FTM) alone--without the visual cues of nonverbally immediate behaviors--could significantly raise students' motivation and…
Descriptors: College Faculty, Credibility, College Students, Student Motivation
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Zawacki-Richter, Olaf; Müskens, Wolfgang; Krause, Ulrike; Alturki, Uthman; Aldraiweesh, Ahmed – International Review of Research in Open and Distributed Learning, 2015
A total of 2,338 students at German universities participated in a survey, which investigated media usage patterns of so-called traditional and non-traditional students (Schuetze & Wolter, 2003). The students provided information on the digital devices that they own or have access to, and on their usage of media and e-learning tools and…
Descriptors: Technology Uses in Education, Electronic Learning, Foreign Countries, College Students
Daghan, Gökhan; Akkoyunlu, Buket – International Education Studies, 2012
This study examines learning styles of students receiving education via online learning environments, and their preferences concerning the online learning environment. Maggie McVay Lynch Learning Style Inventory was used to determine learning styles of the students. The preferences of students concerning online learning environments were detected…
Descriptors: College Students, Preferences, Student Attitudes, Educational Environment
Ifenthaler, Dirk; Gosper, Maree; Bailey, Matthew; Kretzschmar, Mandy – International Association for Development of the Information Society, 2014
Despite the expansion of online and blended learning, as well as open education, little research has been undertaken on what motivates students to enrol in particular study modes at university level. This project addresses this gap in higher education research by exploring the reasons why humanities students choose to study through specific modes.…
Descriptors: Foreign Countries, Study Habits, Humanities, College Students
Yilmaz, Özkan; Sanalan, Vehbi Aytekin – Turkish Online Journal of Educational Technology - TOJET, 2015
The aim of this study is to examine the effect of mobile technology use in university science instruction on students' academic achievement and self-regulation skills. An experimental study is conducted to test the use of mobile in-class interaction system (M-CIS) and to determine the change in students' academic achievement and self-regulation…
Descriptors: Science Instruction, College Science, Handheld Devices, Electronic Learning
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