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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
Cerezo, Rebeca; Bogarín, Alejandro; Esteban, María; Romero, Cristóbal – Journal of Computing in Higher Education, 2020
Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…
Descriptors: Data Analysis, Self Management, Evaluation Methods, Electronic Learning
Gushchina, Oksana; Ochepovsky, Andrew – Turkish Online Journal of Distance Education, 2019
The article shows the role of data mining methods at the stages of the e-learning risk management for the various participants. The article proves the e-learning system fundamentally contains heterogeneous information, for its processing it is not enough to use the methods of mathematical analysis but it is necessary to apply the new educational…
Descriptors: Data Analysis, Information Retrieval, Electronic Learning, Risk Management
Kazanidis, Ioannis; Theodosiou, Theodosios; Petasakis, Ioannis; Valsamidis, Stavros – Interactive Learning Environments, 2016
Database files and additional log files of Learning Management Systems (LMSs) contain an enormous volume of data which usually remain unexploited. A new methodology is proposed in order to analyse these data both on the level of both the courses and the learners. Specifically, "regression analysis" is proposed as a first step in the…
Descriptors: Foreign Countries, Online Courses, Course Evaluation, Electronic Learning
Ming, Norma C.; Ming, Vivienne L. – Technology, Instruction, Cognition and Learning, 2015
We present a method to help faculty assess and visualize conceptual knowledge by applying topic modeling to unstructured student writing from online class discussion forums. To validate the technique against conventional assessment metrics, we evaluated its accuracy in predicting final grades in introductory undergraduate biology and graduate…
Descriptors: Knowledge Level, Student Evaluation, Writing (Composition), Online Courses
de Freitas, Sara; Gibson, David; Du Plessis, Coert; Halloran, Pat; Williams, Ed; Ambrose, Matt; Dunwell, Ian; Arnab, Sylvester – British Journal of Educational Technology, 2015
With digitisation and the rise of e-learning have come a range of computational tools and approaches that have allowed educators to better support the learners' experience in schools, colleges and universities. The move away from traditional paper-based course materials, registration, admissions and support services to the mobile, always-on and…
Descriptors: Higher Education, Student Records, Data Analysis, Information Utilization
Cooper, Lynn O. – Communication Teacher, 2011
"WebGrader" is an online instrument developed to evaluate and assess oral competency in the basic course. It is the result of a 15-year study, using Morreale and Hackman's (1994) work as a general model, and "The Competent Speaker" speech rating criteria in particular (Morreale, Moore, Taylor, Surges-Tatum, & Hulbert-Johnson, 1990; Morreale,…
Descriptors: Feedback (Response), Speech Communication, Evaluation Methods, Cultural Awareness
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…
Descriptors: Electronic Learning, Educational Technology, Online Courses, Educational Environment
Monroe, Rose M. – ProQuest LLC, 2011
The purpose of this study was to investigate the difference in the evaluations of online course quality using the Quality Matters model among four groups of reviewers: instructional designers, faculty with subject-matter expertise, peer faculty with no subject-matter expertise, and administrators. A causal-comparative design was utilized to…
Descriptors: Instructional Design, Electronic Learning, Online Courses, Data Analysis
Sorensen, Ann L. – ProQuest LLC, 2010
Distance learning has experienced a noteworthy increase in both the number of institutions offering alternatives to traditional classroom instruction, and the number of students participating in the various distant modalities. Accompanying the increase of students utilizing distance learning is the subsequent increase in students leaving their…
Descriptors: Majors (Students), Distance Education, Correctional Rehabilitation, Student Surveys
Phillips, Rob; McNaught, Carmel; Kennedy, Gregor – Routledge, Taylor & Francis Group, 2011
How can the average educator who teaches online, without experience in evaluating emerging technologies, build on what is successful and modify what is not? Written for educators who feel ill-prepared when required to evaluate e-learning initiatives, "Evaluating e-Learning" offers step-by-step guidance for conducting an evaluation plan of…
Descriptors: Electronic Learning, Educational Research, Online Courses, Web Based Instruction
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Hramiak, Alison – Journal of Interactive Online Learning, 2005
Much of what can be described as online learning research and analysis advocates the use of software not only to collect the data, for example via an application such as a virtual learning environment, but also to analyze it, using a package such as NUDIST© or NVivo©. The intention of this article is to provide an alternative method of data…
Descriptors: Educational Research, Data Analysis, Evaluation Methods, Computer Software
Kennedy, Gregor E.; Judd, Terry S. – Australasian Journal of Educational Technology, 2004
In this paper we argue that the use of audit trail data for research and evaluation purposes has attracted scepticism due to real and perceived difficulties associated with the data's interpretation. We suggest that educational technology researchers and evaluators need to better understand how audit trail data can be processed and analysed…
Descriptors: Educational Technology, Educational Resources, Data Analysis, Research Methodology
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
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