Evaluating e-Learning Initiatives

2011 ◽  
Vol 6 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Stelios Daskalakis ◽  
Nikolaos Tselios
Keyword(s):  
Theoretical Model ◽  
Literature Review ◽  
Research Model ◽  
Learning Context ◽  
Learning Evaluation ◽  
E Learning ◽  
Research Findings ◽  
Specific Factors ◽  
Research Frameworks ◽  
Context Specific

Evaluation aspects, in relation to e-learning initiatives, are gaining substantial attention. As technology continuously influences learning, technical as well as organizational requirements need to be thoroughly investigated across a variety of stakeholders. In this paper, an outline of those aspects is presented, which occurred from a literature review on methods and research frameworks utilized toward the evaluation of e-learning initiatives. The review identified a series of studies that take advantage of well-established theories in the area of users’ acceptance of technology combined with additional, e-learning context-specific factors. Results of the review are presented, according to the adopted research model, to ease the process of locating and retrieving e-learning evaluation paradigms per theoretical model. In addition, research findings are discussed and future implications for e-learning evaluation initiatives as well as potential stakeholders are highlighted.

scholarly journals Pembelajaran E-Learning Berbasis Web Bagi Pengajar untuk Mendukung Kegiatan Perkuliahan di Politeknik Negeri Padang

2017 ◽  
Vol 12 (2) ◽  
pp. 43
Author(s):  
Maimuzar - ◽  
Nasrul -
Keyword(s):  
Design Process ◽  
Learning System ◽  
Web Based ◽  
Teaching Activities ◽  
The Real ◽  
Design And Implementation ◽  
Learning Evaluation ◽  
E Learning ◽  
To Receive ◽  
The Web

We-based e-Learning System can be used to support lecture’s activity. Lecturer as a teacher need a servise of the Sistim which suitable for their activities. Lecturer’s activities consist of delivering materials, discussion and interaction with their students. Because of that the aplication design is needed to support the activities of lectures.             Designing the web based e-Learning System is intended to give a service on the lecture. Lecture can do their teaching activities, delivering the materials and administering it using this e-Learning aplication. From the student side, they have to receive the materials easily from anywhere at anytime. This research have an objective to design a web based e_learning System which give an adequate service supporting the lecturer’s activities. Lecture can use this aplication ti deliver their materials, communicating and interacting with their student, observing the progress of students and give result of learning evaluation from the web.             The design and implementation of this e-learning application is based on the requirement of the users. The users consist of lecturer, student, quest, and administrator. The process of aplication design is built within Sistimatical stages. After finishing the design process, the aplication is implemented on the real Sistim. Doing the design testing and functional is to test if the aplication can go well together with design and funtionality.e-Learnign aplication that has been built is designed based on lecturer’s need when doing their lecture’s activities. This e-Learning aplication can be used as contribution for building new aplication or5 improving others that has already exist.

scholarly journals The role of theory in learning technology evaluation research

2012 ◽  
Vol 28 (7) ◽  
Author(s):  
Rob Phillips ◽  
Gregor Kennedy ◽  
Carmel McNaught
Keyword(s):  
Interdisciplinary Research ◽  
Evaluation Research ◽  
Learning Technology ◽  
Technology Evaluation ◽  
Design Elements ◽  
Learning Evaluation ◽  
Fundamental Understanding ◽  
E Learning ◽  
Learning Development

<span>This paper attempts a fundamental analysis of the nature of research into e-learning and the role that theory plays in this. We examine 'research' in broad terms, and the nature of phenomena in general. We identify that e-learning is an artificial phenomenon, and that research approaches need to be cognisant of the design elements in e-learning, and the cyclical nature of e-learning development. We identify various desired research outcomes which are appropriate at each stage of the e-learning lifecycle, and argue that studies of e-learning involve a mixture of evaluation and research.</span><p>We discuss e-learning evaluation research in the context of different disciplinary and interdisciplinary research approaches, recognising that there is no one 'right' way to do e-learning evaluation research. However, we recognise that there is a varying mixture of a 'search for fundamental understanding' and 'consideration of use' in e-learning evaluation research. We use these considerations to discuss the role of theory in educational research, and, in particular, in e-learning evaluation research, before applying the preceding arguments to the e-learning lifecycle, identifying five different forms of evaluation research.</p>

scholarly journals Use of Deep Multi-Target Prediction to Identify Learning Styles

2020 ◽  
Vol 10 (5) ◽  
pp. 1756 ◽  
Author(s):  
Everton Gomede ◽  
Rodolfo Miranda de Barros ◽  
Leonardo de Souza Mendes
Keyword(s):  
Learning Styles ◽  
Target Prediction ◽  
Learning Processes ◽  
Learning Systems ◽  
Prediction Algorithm ◽  
Traditional Learning ◽  
Multiple Target ◽  
Learning Evaluation ◽  
E Learning ◽  
Target Prediction Algorithm

It is possible to classify students according to the manner they recognize, process, and store information. This classification should be considered when developing adaptive e-learning systems. It also creates a comprehension of the different styles students demonstrate while in the process of learning, which can help adaptive e-learning systems offer advice and instructions to students, teachers, administrators, and parents in order to optimize students’ learning processes. Moreover, e-learning systems using computational and statistical algorithms to analyze students’ learning may offer the opportunity to complement traditional learning evaluation methods with new ones based on analytical intelligence. In this work, we propose a method based on deep multi-target prediction algorithm using Felder–Silverman learning styles model to improve students’ learning evaluation using feature selection, learning styles models, and multiple target classification. As a result, we present a set of features and a model based on an artificial neural network to investigate the possibility of improving the accuracy of automatic learning styles identification. The obtained results show that learning styles allow adaptive e-learning systems to improve the learning processes of students.

Evaluating e-Learning Initiatives

2012 ◽  
pp. 163-179
Author(s):  
Stelios Daskalakis ◽  
Nikolaos Tselios
Keyword(s):  
Theoretical Model ◽  
Literature Review ◽  
Research Model ◽  
Learning Context ◽  
Learning Evaluation ◽  
E Learning ◽  
Research Findings ◽  
Specific Factors ◽  
Research Frameworks ◽  
Context Specific

Evaluation aspects, in relation to e-learning initiatives, are gaining substantial attention. As technology continuously influences learning, technical as well as organizational requirements need to be thoroughly investigated across a variety of stakeholders. In this paper, an outline of those aspects is presented, which occurred from a literature review on methods and research frameworks utilized toward the evaluation of e-learning initiatives. The review identified a series of studies that take advantage of well-established theories in the area of users’ acceptance of technology combined with additional, e-learning context-specific factors. Results of the review are presented, according to the adopted research model, to ease the process of locating and retrieving e-learning evaluation paradigms per theoretical model. In addition, research findings are discussed and future implications for e-learning evaluation initiatives as well as potential stakeholders are highlighted.

E-learning Evaluation Based on SURE Model: Case of Mongolian University of Pharmaceutical Sciences

2021 ◽  
pp. 508-519
Author(s):  
Uranchimeg Tudevdagva ◽  
Selenge Erdenechimeg ◽  
Bazarragchaa Sodnom
Keyword(s):  
Pharmaceutical Sciences ◽  
Model Case ◽  
Learning Evaluation ◽  
Sure Model ◽  
E Learning
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