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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
Seok, Soonhwa; DaCosta, Boaventura – TechTrends: Linking Research and Practice to Improve Learning, 2017
Gender differences between the reading of digital and printed text were explored in this study. Predictors of digital propensity were investigated along with gender differences in the context of digital propensity and perceptions and preferences toward the reading of digital and printed text. Findings strengthened results reported in existing…
Descriptors: Gender Differences, Adolescents, Adolescent Attitudes, Reader Text Relationship
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
Drossel, Kerstin; Eickelmann, Birgit; Gerick, Julia – Education and Information Technologies, 2017
This paper is based on the research question of what predictors (school characteristics, teachers' attitudes, teacher collaboration and background characteristics) determine secondary school teachers' frequency of computer use in class. The use of new technologies by secondary school teachers for educational purposes is an important factor…
Descriptors: Institutional Characteristics, Information Technology, Teacher Attitudes, Teacher Collaboration
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
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
Dishaw, Mark T.; Eierman, Michael A.; Iversen, Jacob H.; Philip, George – Journal of Information Technology Education: Research, 2013
As collaboration among teams that are distributed in time and space is becoming increasingly important, there is a need to understand the efficacy of tools available to support that collaboration. This study employs a combination of the Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model to compare four different technologies…
Descriptors: Cooperation, Collaborative Writing, Electronic Publishing, Word Processing
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
Hunka, Patricia L. – ProQuest LLC, 2014
This study was completed to understand whether or not work addiction or work addiction intensity could be predicted from mobile technology use. The study further investigated whether or not gender, workspace, income, or education level would moderate the relationship. The sample used was drawn from service industry employees who are not in the…
Descriptors: Work Attitudes, Addictive Behavior, Information Technology, Handheld Devices
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
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