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Educational Data Mining: An Application of a Predictive Model of Online Student Enrollment Decisions
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Trakunphutthirak, Ruangsak; Lee, Vincent C. S. – Journal of Educational Computing Research, 2022
Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…
Descriptors: Information Retrieval, Pattern Recognition, Data Analysis, Information Technology
Blau, Ina; Shamir-Inbal, Tamar; Hadad, Shlomit – Journal of Computer Assisted Learning, 2020
The purpose of this study was to examine the influence of online collaborative learning experiences on students' digital collaboration skills and on the sustainability of e-collaboration in schools' culture--comparing individualistic versus collectivistic cultures. In addition, we explored how the leadership experience of schools' ICT coordinators…
Descriptors: Electronic Learning, Cooperative Learning, Individualism, Collectivism
Mubuke, Faisal; Kituyi, Geoffrey Mayoka; Masaba, Kutosi Ayub; Ogenmungu, Cosmas; Nagujja, Shakilah – Journal of Educational Technology, 2018
Among information systems, mobile learning systems are acknowledged for the exponential growth in recent years into education sector specifically in the higher education learning institutions. Mobile learning systems are viewed as a kind of information system, which universities use to better serve their students efficiently and effectively in…
Descriptors: Foreign Countries, Social Influences, Predictor Variables, Intention
Strang, Kenneth David – Education and Information Technologies, 2017
This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning engagement factors using a large…
Descriptors: Predictor Variables, Outcomes of Education, Mixed Methods Research, Electronic Learning
Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi – Educational Technology & Society, 2018
With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…
Descriptors: Integrated Learning Systems, Foreign Countries, Technology Uses in Education, Structural Equation Models
Cheok, Mei Lick; Wong, Su Luan – International Journal of Instruction, 2015
This paper develops a theoretical model of the determinants of e-learning satisfaction in teaching and learning among secondary school teachers. It is based on reviews of past studies on satisfaction in using information technology systems. Three potential groups of determinants of satisfaction among secondary school teachers were identified;…
Descriptors: Electronic Learning, Secondary School Teachers, Information Technology, Satisfaction
Al-Khasawneh, Ahmad; Obeidallah, Randa – International Journal of Information and Communication Technology Education, 2015
This paper is concerned with the improvement of teaching and learning process through the adoption of Information and Communication Technology (ICT) and e-learning in Jordanian higher education institutions particularly in The Hashemite University (HU). The main challenge of the study is to provide such an understanding of how ICT and e-learning…
Descriptors: Case Studies, Electronic Learning, Success, Performance Factors
Badri, Masood; Al Rashedi, Asma; Yang, Guang; Mohaidat, Jihad; Al Hammadi, Arif – Education and Information Technologies, 2016
Offering an online integrated high-school course or subject for the first time involves many challenges. Better understanding the factors that affect students' willingness to participate in the experience could provide support for better implementation of such a strategic initiative. In addition, it is important to understand how personal factors…
Descriptors: Intention, Electronic Learning, Structural Equation Models, High School Students
Cigdem, Harun; Ozturk, Mustafa – International Review of Research in Open and Distributed Learning, 2016
There is a substantial increase in the use of learning management systems (LMSs) to support teaching and learning activities in higher education institutions. Despite their benefits, student's use them to a limited extend due to a number of factors influencing behaviors. This study executed a three-tier use model to examine the predictors of…
Descriptors: Student Behavior, Intention, Vocational Schools, Postsecondary Education
Kursun, Engin – International Review of Research in Open and Distributed Learning, 2016
Although a number of claims have been made describing massive open online courses (MOOCs) as a disruptive innovation in education, these claims have not yet been proven through research. Instead, MOOCs should perhaps be considered as an integrative model for higher education systems, but to do so will require recognition of credentials. Initial…
Descriptors: Educational Environment, Online Courses, Electronic Learning, Distance Education
He, Wu; Yen, Cherng-Jyh – Journal of Information Systems Education, 2014
More and more information technology (IT) programs are offering distance learning courses to their students. However, to date, there are a very limited number of published articles in the IT education literature that compare how different methods of delivering distance course relate to undergraduate students' learning outcomes in IT software…
Descriptors: Programming, Computer Software, Computer Science Education, Participant Satisfaction
Sandler, Martin E. – Online Submission, 2010
Effective assessment of teaching and learning with technology requires a capacity to map learning outcomes. Student attitudes of the use of IT are measured in a structural equation model derived from an instrument based on the principles of undergraduate practice of Chickering and Ehrmann (1996). Institutional and background data are included. By…
Descriptors: Undergraduate Study, Student Attitudes, Academic Achievement, Path Analysis
Vigentini, Lorenzo – Multicultural Education & Technology Journal, 2009
Purpose: The purpose of this paper is to explore the relevance of three different types of styles measure for students' learning in a large introductory university course in psychology, using information technology to enhance teaching. The paper examines the relationship between styles, the usage of learning technology, and academic performance in…
Descriptors: Academic Achievement, Information Technology, Study Skills, Introductory Courses
Bhrommalee, Panu – ProQuest LLC, 2011
Online learning provides learners with more convenient and flexible ways of learning than does a traditional learning environment. Many Thai universities have implemented online learning for their students despite a lack of knowledge and understanding about students' attitudes toward and behavioral intention to using the system. The purpose of…
Descriptors: Electronic Learning, Cognitive Style, Student Attitudes, Online Courses
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