scholarly journals Gender Differences and Learner Satisfaction: An evaluation of E-‎Learning Systems at Umm A-Qura University

2021 ◽  
Vol 9 (17) ◽  
pp. 14-49
Author(s):  
Ahmed ‎ Alharthi ‎ ◽  
Hanaa Yamani ◽  
Waleed Elsigini
Keyword(s):  
Gender Differences ◽  
Learning Systems ◽  
Learner Satisfaction ◽  
E Learning

Evaluating Learner Satisfaction in a Multiplatform E-Learning System

2008 ◽  
pp. 1079-1099
Author(s):  
Tiong T. Goh ◽  
Kinshuk ◽  
Nian-Shing Chen
Keyword(s):  
Comparative Evaluation ◽  
Learning Systems ◽  
Satisfaction Score ◽  
Learning System ◽  
Learner Satisfaction ◽  
Evaluation Instrument ◽  
End User ◽  
E Learning ◽  
Learner Perspective ◽  
Systems Framework

The main objective of this chapter is to present a comparative evaluation between two e-learning systems from the end user (learner) perspective. The evaluation instrument is based on a multiplatform e-learning systems framework and a modified version of the Questionnaire for User Interface Satisfaction (QUIS). First, the evaluation intends to compare the achievable level of overall the learner satisfaction score between a Blackboard e-learning system and a multiplatform e-learning system with three different accessing devices. Second, the evaluation intends to explore the degree of influence and identifies grouping relationships among the factors that influence learner satisfaction while engaged in a multiplatform e-learning system. Lastly, the evaluation determines the gain in the learner satisfaction score between the two systems with respect to three different accessing devices. The findings and the process of evaluation can play an important role for the designer to improve the adaptation process and to enhance the level of learner satisfaction in future multiplatform e-learning systems.

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

scholarly journals Are there gender differences in e-learning use and assessment? Evidence from an interuniversity online project in Europe

2010 ◽  
Vol 2 (2) ◽  
pp. 367-371 ◽  
Author(s):  
Manuel Cuadrado-García ◽  
María-Eugenia Ruiz-Molina ◽  
Juan D. Montoro-Pons
Keyword(s):  
Gender Differences ◽  
E Learning
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