scholarly journals Relationship Between Student Engagement and Performance in E-Learning Environment Using Association Rules

2018 ◽  
Author(s):  
Abdallah Moubayed ◽  
MohammadNoor Injadat ◽  
Abdallah Shami ◽  
Hanan Lutfiyya
Keyword(s):  
Student Engagement ◽  
Learning Environment ◽  
Association Rules ◽  
E Learning ◽  
And Performance

Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners

Data Mining ◽  
2013 ◽  
pp. 1916-1935
Author(s):  
Mingming Zhou ◽  
Yabo Xu
Keyword(s):  
Learning Environment ◽  
Cognitive Skills ◽  
Cognitive Activity ◽  
Cognitive Strategies ◽  
Monitoring And Control ◽  
Online Learners ◽  
Data Mining Algorithms ◽  
E Learning ◽  
And Performance ◽  
Mining Algorithms

A wealth of research has shown that meta-cognition plays a crucial role in the promotion of effective school learning. In most of the e-learning environment designs, however, meta-cognitive strategies have generally been neglected, and therefore, satisfactory uses of these strategies have rarely been realized. Most learners are not even aware of what they have been studying. If the learning system could automatically guide and intelligently recommend learning activities or strategies to facilitate student monitoring and control of their learning, it would favor and improve their learning process and performance. Unfortunately, nearly no e-learning systems to date have attempted to do so. In this chapter, we first described the need for enhancing meta-cognitive skills in e-learning environment, followed by an outline of major challenges for meta-cognitive activity recommendations. We then proposed to adopt data mining algorithms (i.e., content-based and sequence-based recommendation techniques) to meet the identified issues with a toy example.

scholarly journals Student Engagement Level in an e-Learning Environment: Clustering Using K-means

2020 ◽  
Vol 34 (2) ◽  
pp. 137-156 ◽  
Author(s):  
Abdallah Moubayed ◽  
Mohammadnoor Injadat ◽  
Abdallah Shami ◽  
Hanan Lutfiyya
Keyword(s):  
Student Engagement ◽  
Learning Environment ◽  
E Learning

scholarly journals Enhancing Student Engagement in VLE Platform: Student Perceptions Towards Programming Course Learning Resources

2021 ◽  
Vol 58 (1) ◽  
pp. 5607-5612
Author(s):  
Abu Hassan Darusman, Yuhanis Omar
Keyword(s):  
Student Engagement ◽  
Learning Environment ◽  
Student Perceptions ◽  
Teaching And Learning ◽  
Preliminary Investigation ◽  
Virtual Learning Environment ◽  
Learning Resources ◽  
Learning Platform ◽  
E Learning ◽  
Level Of Motivation

For many years, e-learning is one of the topics of interest among academia. The increase of wireless devices and smartphone usage as the current technology and platform to access internet services plays an important role in e-learning to be used in teaching and learning activities. Virtual Learning Environment (VLE) is a web-based system designed to facilitate e-learning with various elements in it. However, one of the biggest challenges in implementing e-learning with an efficient and effective learning resources component is the lack of motivation and student engagement in using it continuously. Therefore, the objective of this study is to obtain the students' perceptions as well as suggestions about learning resources in VLE that can be used to raise their level of motivation and engagement in the e-learning environment. This paper aims to discuss the findings of preliminary investigation related to the elements or characteristics of learning resources that can fulfill the need of the students in their studies at university. This study used a qualitative approach by interviewing a group of 60 students to; (1) obtain students’ perceptions on the existing learning resources, (2) identify the issues or challenges in using the existing learning resources, and (3) record the suggestions that can be considered to improve the learning resources in VLE to make them motivated and engaged to the e-learning platform continuously.  The results in a form of suggestions can be used as a guideline for academia to improve their learning resources.

Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners

2012 ◽  
pp. 282-301 ◽  
Author(s):  
Mingming Zhou ◽  
Yabo Xu
Keyword(s):  
Learning Environment ◽  
Cognitive Skills ◽  
Cognitive Activity ◽  
Cognitive Strategies ◽  
Monitoring And Control ◽  
Online Learners ◽  
Data Mining Algorithms ◽  
E Learning ◽  
And Performance ◽  
Mining Algorithms

A wealth of research has shown that meta-cognition plays a crucial role in the promotion of effective school learning. In most of the e-learning environment designs, however, meta-cognitive strategies have generally been neglected, and therefore, satisfactory uses of these strategies have rarely been realized. Most learners are not even aware of what they have been studying. If the learning system could automatically guide and intelligently recommend learning activities or strategies to facilitate student monitoring and control of their learning, it would favor and improve their learning process and performance. Unfortunately, nearly no e-learning systems to date have attempted to do so. In this chapter, we first described the need for enhancing meta-cognitive skills in e-learning environment, followed by an outline of major challenges for meta-cognitive activity recommendations. We then proposed to adopt data mining algorithms (i.e., content-based and sequence-based recommendation techniques) to meet the identified issues with a toy example.

scholarly journals E-Learning Strategies to Improve the Students’ Engagement

2021 ◽  
Vol 27 (3) ◽  
pp. 27-33
Author(s):  
Ilie Gligorea ◽  
Ghiță Bârsan ◽  
Romana Oancea ◽  
Nicolae Moro
Keyword(s):  
Student Engagement ◽  
Learning Environment ◽  
Learning Strategies ◽  
Learning Success ◽  
E Learning ◽  
The Right

Abstract With the right approach and strong enough motivation, any teacher can make attractive learning be a modern and rewarding learning environment that encourages, engages and motivates students to achieve long-term learning success. The study carried out in this article aims to analyze student engagement by taking into account attendance logs, reviewing the content and grades obtained in a technical course of a number of 102 individuals. The collected data were processed in the customized / individualized reports extracted from the Moodle platform. The results of this study highlight the importance of teachers’ involvement in creating and adapting content so that students are directly involved in learning, remain active and motivated. The result of the study underlines the elements that can be used for increased students’ engagement.

scholarly journals Adaptive e-learning environment based on learning styles and its impact on development students' engagement

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Hassan A. El-Sabagh
Keyword(s):  
Student Engagement ◽  
Learning Environment ◽  
Learning Styles ◽  
Learning Environments ◽  
Control Group ◽  
Learning Approach ◽  
Quasi Experimental ◽  
E Learning ◽  
Research Experiment ◽  
The Impact

AbstractAdaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study the impact of the adaptive e-learning environment on students’ engagement. This research attempts as well to outline and compare the proposed adaptive e-learning environment with a conventional e-learning approach. The paper is based on mixed research methods that were used to study the impact as follows: Development method is used in designing the adaptive e-learning environment, a quasi-experimental research design for conducting the research experiment. The student engagement scale is used to measure the following affective and behavioral factors of engagement (skills, participation/interaction, performance, emotional). The results revealed that the experimental group is statistically significantly higher than those in the control group. These experimental results imply the potential of an adaptive e-learning environment to engage students towards learning. Several practical recommendations forward from this paper: how to design a base for adaptive e-learning based on the learning styles and their implementation; how to increase the impact of adaptive e-learning in education; how to raise cost efficiency of education. The proposed adaptive e-learning approach and the results can help e-learning institutes in designing and developing more customized and adaptive e-learning environments to reinforce student engagement.

Evaluation of Students’ Flow State in an E-learning Environment Through Activity and Performance Using Deep Learning Techniques

2020 ◽  
pp. 073563312097983
Author(s):  
Yusuf Can Semerci ◽  
Dionysis Goularas
Keyword(s):  
Learning Environment ◽  
Deep Neural Networks ◽  
Complex Task ◽  
Flow State ◽  
Learning Platform ◽  
Online Lectures ◽  
Learning Techniques ◽  
E Learning ◽  
Learning Platforms ◽  
And Performance

Estimating the flow state of students in a course allows evaluating their sentimental state and the challenges they are facing. In e-learning platforms, the evaluation of flow state is a complex task because it depends on the ability to extract the parameters that better reflect the activity and effort of students. In this scope, the current study proposes a method based on flow theory aiming to provide information about the students' flow state in a course that is taught in an e-learning environment. First, the interaction of students with an e-learning platform that comprises classical e-learning pages and a timeline tool is analyzed, using activity heatmaps and deep neural networks. Then, by taking also in account their grades, the flow state of students is calculated. The resulted data are validated with a statistical analysis that also utilizes student surveys. In order to guarantee that this method is applicable to various profiles, students from different faculties participated in this study. In a period where education is rapidly adapting to online lectures and e-learning platforms, the estimation of student's flow state in e-learning environments can provide useful feedback and data to students and educators.

scholarly journals Really Engaging Accounting: Second Life™ as a Learning Platform

2010 ◽  
Vol 25 (3) ◽  
pp. 361-378 ◽  
Author(s):  
Steven Hornik ◽  
Steven Thornburg
Keyword(s):  
Student Engagement ◽  
Learning Environment ◽  
Student Performance ◽  
Virtual Worlds ◽  
Second Life ◽  
Financial Accounting ◽  
First Year ◽  
Learning Platform ◽  
And Performance ◽  
The Relationship

ABSTRACT: Immersive virtual worlds such as Second Life™ promise the possibility of an engaging platform for learning. This paper examines the success of Second Life™ in enabling an engaging learning environment within a first-year financial accounting course, specifically the relationship between student engagement and performance. The paper details the use of two 3-D objects built to support the course, an interactive accounting equation, and t-account model. Results indicate that student engagement, as enabled via Second Life™ may lead to greater student performance. However, results also indicate a reduction in performance if students have adverse (dizziness, nausea) reactions to the environment.

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