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Showing 1 to 15 of 17 results Save | Export
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Mansouri, Taha; ZareRavasan, Ahad; Ashrafi, Amir – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic in many academic disciplines. Different mathematical models have been employed to predict student…
Descriptors: Cognitive Mapping, Models, Prediction, Performance Factors
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Rajabalee, Yousra Banoor; Santally, Mohammad Issack; Rennie, Frank – International Journal of Distance Education Technologies, 2020
This paper reports the findings of a research using marks of students in learning activities of an online module to build a predictive model of performance for the final assessment of the module. The objectives were (1) to compare the performances of students of two cohorts in terms of continuous learning assessment marks and final learning…
Descriptors: Performance Factors, Electronic Learning, Learning Analytics, Learning Activities
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Georgakopoulos, Ioannis; Chalikias, Miltiadis; Zakopoulos, Vassilis; Kossieri, Evangelia – Education Sciences, 2020
Our modern era has brought about radical changes in the way courses are delivered and various teaching methods are being introduced to answer the purpose of meeting the modern learning challenges. On that account, the conventional way of teaching is giving place to a teaching method which combines conventional instructional strategies with…
Descriptors: Academic Failure, Blended Learning, Learner Engagement, Student Participation
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Cheng, Yung-Ming – Education & Training, 2019
Purpose: According to expectation--confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students' cloud-based e-learning continuance and evaluate whether TTF affects students' perceived impact on learning of the cloud-based e-learning system within the educational institution.…
Descriptors: Electronic Learning, Foreign Countries, Models, Influences
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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Benedetti, Christopher – Journal of College Teaching & Learning, 2015
This article examines the characteristics and challenges of online instruction and presents a model for improving learner adaptation in an online classroom. Instruction in an online classroom presents many challenges, including learner individualization. Individual differences in learning styles and preferences are often not considered in the…
Descriptors: Models, Online Courses, Electronic Learning, Student Adjustment
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Romrell, Danae; Kidder, Lisa C.; Wood, Emma – Journal of Asynchronous Learning Networks, 2014
As mobile devices become more prominent in the lives of students, the use of mobile devices has the potential to transform learning. Mobile learning, or mLearning, is defined as learning that is personalized, situated, and connected through the use of a mobile device. As mLearning activities are developed, there is a need for a framework within…
Descriptors: Models, Evaluation Methods, Course Evaluation, Electronic Learning
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Mac Callum, Kathryn; Jeffrey, Lynn; Kinshuk – Journal of Information Technology Education: Research, 2014
As mobile technology has advanced, awareness is growing that these technologies may benefit teaching and learning. However, despite this interest, the factors that will determine the acceptance of mobile technology by lecturers have been limited. This study proposed and tested a new model that extends the technology acceptance model (TAM) with…
Descriptors: Adoption (Ideas), Electronic Learning, Performance Factors, Technological Literacy
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Schutt, Stefan; Linegar, Dale – International Journal of Virtual and Personal Learning Environments, 2013
The authors' team has been working with virtual worlds since 2006, deploying them in diverse contexts including secondary schools, special schools, vocational education and training, higher education and the community sector. Here the authors outline their operational experience of the complex web of interrelated factors involved in running…
Descriptors: Virtual Classrooms, Learning Experience, Experiential Learning, Performance Factors
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Nyerere, Jackline Anyona; Gravenir, Frederick Q.; Mse, Godfrey S. – International Review of Research in Open and Distance Learning, 2012
The increased demand and need for continuous learning have led to the introduction of open, distance, and e-learning (ODeL) in Kenya. Provision of this mode of education has, however, been faced with various challenges, among them infrastructural ones. This study was a survey conducted in two public universities offering major components of ODeL,…
Descriptors: Foreign Countries, Electronic Learning, Delivery Systems, Distance Education
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Islam, A. K. M. Najmul – Journal of Information Systems Education, 2011
This paper examines factors that influence the post-adoption satisfaction of educators with e-learning systems. Based on the expectation-confirmation framework, we propose a research model that demonstrates how post-adoption beliefs affect post-adoption satisfaction. The model was tested at a university by educators (n = 175) who use an e-learning…
Descriptors: Electronic Learning, Testing Programs, Participant Satisfaction, Teacher Attitudes
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Nistor, Nicolae; Baltes, Beate; Schustek, Monika – Campus-Wide Information Systems, 2012
Purpose: Online programs rely on the use of educational technology for knowledge sharing in academic virtual communities of practice (vCoPs). This poses the question as to which factors influence technology acceptance. Previous research has investigated the inter-relationship between educational technology acceptance (ETA) and the vCoP context…
Descriptors: Communities of Practice, Intention, Educational Technology, Knowledge Management
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Kanaksabee, P.; Odit, M. P.; Ramdoyal, A. – Journal of International Education Research, 2011
The key aim of this paper is to introduce a standard-based model for adaptive e-learning platform for Mauritian academic institutions and to investigate the conditions and tools required to implement this model. The main forces of the system are that it allows collaborative learning, communication among user, and reduce considerable paper work.…
Descriptors: Electronic Learning, Educational Technology, Models, Academic Standards
Zabel, Todd W. – Online Submission, 2010
The purpose of this study was to examine the viability and principle design methodologies of Mobile Learning models in developing regions. Demographic and market studies were utilized to determine the viability of M-Learning delivery as well as best uses for such technologies and methods given socioeconomic and political conditions within the…
Descriptors: Electronic Learning, Educational Technology, Delivery Systems, Models
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Power, Michael – E-Learning, 2007
Distance education, increasingly dubbed online learning and even e-learning, represents an important societal movement, as witnessed by the sudden emergence of a worldwide knowledge industry in which universities play a central role. Many universities, in implementing e-learning, have undertaken a process whereby faculty are being encouraged to…
Descriptors: Electronic Learning, Instructional Design, Distance Education, Case Studies
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