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Selma Tosun; Dilara Bakan Kalaycioglu – Journal of Educational Technology and Online Learning, 2024
Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a…
Descriptors: Academic Achievement, Open Education, Distance Education, Foreign Countries
Gontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Bulathwela, Sahan; Pérez-Ortiz, María; Lipani, Aldo; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2020
The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational materials for learners. We focus on building models to find the characteristics and features involved in…
Descriptors: Prediction, Open Educational Resources, Learner Engagement, Video Technology
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
Sahba Akhavan Niaki – ProQuest LLC, 2018
The increasing amount of available subjective text data in internet such as product reviews, movie critiques and social media comments provides golden opportunities for information retrieval researchers to extract useful information out of such datasets. Topic modeling and sentiment analysis are two widely researched fields that separately try to…
Descriptors: Models, Classification, Content Analysis, Documentation
Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
Simpson, Ormond – Open Learning, 2013
This paper brings together some data on student retention in distance education in the form of graduation rates at a sample of distance institutions. The paper suggests that there is a "distance education deficit" with many distance institutions having less than one-quarter of the graduation rates of conventional institutions. It looks…
Descriptors: Distance Education, Academic Persistence, School Holding Power, Learning Motivation
Heathcock, Kristin – Journal of Library & Information Services In Distance Learning, 2015
Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…
Descriptors: Online Courses, Models, Library Services, Library Research
Stefansson, Gunnar; Sigurdardottir, Asta Jenny – Journal of Instructional Psychology, 2011
Exams have traditionally been given to evaluate students but in recent years, with the appearance of freely accessible on-line tutoring, quizzes can also be used as a learning tool. In systems where students can request quiz items until a satisfactory grade is obtained, new probabilistic approaches are required for dealing items to students and…
Descriptors: Student Evaluation, Rote Learning, Tests, Learning Experience
Dow, Mirah J.; Algarni, Mohammed; Blackburn, Heidi; Diller, Karen; Hallett, Karen; Musa, Abdullahi; Polepeddi, Padma; Schwartz, Brian; Summey, Terri; Valenti, Sandra – Journal of Library & Information Services In Distance Learning, 2012
This article offers a theoretical model of online, graduate student information seeking behavior. The qualitative methodology used to gather data for the development of the model included an electronic survey and semi-structured interviews conducted online using Adobe Connect Pro[TM]. Participating in the study were 238 graduate students enrolled…
Descriptors: Information Seeking, Online Courses, Data Analysis, Graduate Students
Yasmin, Dr. – Distance Education, 2013
This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…
Descriptors: Distance Education, Open Universities, Predictor Variables, Student Behavior
Boston, Wallace E.; Ice, Phil – Online Journal of Distance Learning Administration, 2011
As the growth of online programs continues to rapidly accelerate, concern over the retention of the online learner is increasing. Educational administrators at institutions offering online courses, those fully online or brick and mortars, are eager to promote student achievement. Retention is critically important, not just for student success, but…
Descriptors: Electronic Learning, Academic Achievement, Online Courses, Academic Persistence
Sindlinger, Jodi – ProQuest LLC, 2011
Evidence of the increasing use of technology in counselor education is indicated by the increase in journal articles, programs, websites, and books on this topic (Albrecht & Jones, 2001; Layne & Hohenshil, 2005). The Internet has emerged as an important tool in the training and supervision of counseling students (Conn, Roberts, & Powell, 2009;…
Descriptors: Counselor Training, Data Analysis, Personal Narratives, Distance Education
Li, Yan; Duan, Yanqing; Fu, Zetian; Alford, Philip – British Journal of Educational Technology, 2012
The learner's acceptance of e-learning systems has received extensive attention in prior studies, but how their experience of using e-learning systems impacts on their behavioural intention to reuse those systems has attracted limited research. As the applications of e-learning are still gaining momentum in developing countries, such as China,…
Descriptors: Foreign Countries, Developing Nations, Usability, Rural Areas
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