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Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
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Tim Pressley; David T. Marshall; Teanna Moore – Teacher Development, 2024
Teachers have faced a multitude of demands over the past two years and faced new challenges as schools returned in the fall of 2021. Using the Job Demands-Resources model as a framework, the current study identified factors contributing to teacher burnout following the COVID-19 pandemic. To examine predictors of teacher burnout, the authors…
Descriptors: Teacher Attitudes, Teacher Burnout, COVID-19, Pandemics
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Chu, Wei; Pavlik, Philip I., Jr. – International Educational Data Mining Society, 2023
In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…
Descriptors: Reaction Time, Accuracy, Models, Predictor Variables
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Al-Azawei, Ahmed; Lundqvist, Karsten – Electronic Journal of e-Learning, 2015
Online learning constitutes the most popular distance-learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent across all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model…
Descriptors: Student Attitudes, Online Courses, Psychometrics, Questionnaires
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Hassan, Haslina binti; Rahmatullah, Bahbibi binti; Nordin, Norhisham bin Mohamad – Malaysian Online Journal of Educational Technology, 2014
School Management System-SMS (Sistem Pengurusan Sekolah) is a system developed by Ministry of Education Malaysia in order to reduce teachers' burden and for Educational Data Integration. SMS is a type of Management Information System (MIS) and is pivotal for efficient and effective running of schools in Malaysia. As SMS is newly introduced, no…
Descriptors: Foreign Countries, Management Information Systems, Questionnaires, Program Evaluation
Rodriguez Jaime, Luis Francisco – ProQuest LLC, 2013
Little is known about students' perceptions of online enrollment processes. Student satisfaction is part of the assessment required for accreditation, but evidence suggests that college administrators are oriented to retention and graduation rates rather than to consumer perception. The purpose of this descriptive quantitative study was to develop…
Descriptors: Enrollment Trends, Enrollment Influences, Higher Education, Student Attitudes
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Ounaies, Houda Zouari; Jamoussi, Yassine; Ben Ghezala, Henda Hajjami – Themes in Science and Technology Education, 2008
Currently, e-learning systems are mainly web-based applications and tackle a wide range of users all over the world. Fitting learners' needs is considered as a key issue to guaranty the success of these systems. Many researches work on providing adaptive systems. Nevertheless, evaluation of the adaptivity is still in an exploratory phase.…
Descriptors: Media Adaptation, Instructional Design, Electronic Learning, Management Information Systems
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Liao, Hsiang-Ann – College Quarterly, 2005
Rogers' diffusion of innovation model was used to examine the adoption and contribution of a web-based course management system at a college campus. This study surveyed 196 students. It was found that Rogers' model successfully explained the adoption of the innovation. The adoption of the innovation also led to increased interaction between…
Descriptors: Management Systems, Web Based Instruction, Innovation, Interaction
Whitehead, Robert Randall – 1974
The author has developed a model for transferring and implementing educational innovations from one institution to another. The model consists of an organized set of variables whose precedence relationships were determined by statistical analysis of collected data. A questionnaire was sent to a sample of prospective consumers of educational…
Descriptors: Cluster Analysis, Data Analysis, Data Collection, Educational Innovation
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers