scholarly journals Examining the Effectiveness of Using Adaptive AI-Enabled e-Learning during the Pandemic of COVID-19

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Sayed S. Younes
Keyword(s):  
Learning Environment ◽  
Learning Style ◽  
Achievement Test ◽  
Digital Content ◽  
Creative Design ◽  
Global Learning ◽  
Significant Difference ◽  
E Learning ◽  
Practical Performance ◽  
Design Skills

This study aimed to identify the effect of using adaptive AI-enabled e-learning on developing digital content creative design skills among postgraduate students. The research tools included an achievement test and an observation checklist for rating the practical performance. Research results concluded that, regardless of learning styles, the proposed adaptive e-learning environment had a positive effect on developing both cognitive achievement and practical performance of digital content creative design skills. The results also indicated that there is a significant difference at the 0.01 level between the mean scores of the first experimental group’s students using the global learning style-based adaptive e-learning environment and the second experimental group’s students using the sequential learning style-based adaptive AI-enabled e-learning environment in the achievement test and observation checklist after measurement of digital content creative design skills in favor of the second experimental group’s students. The study provided a number of suggestions and recommendations for making the utmost use of various design layouts of adaptive AI-enabled e-learning environments in developing different cognitive and performance aspects of learning as well as taking full advantage of digital content creative design skills mastery in producing a plethora of advanced electronic educational applications in the foreseeable future.

scholarly journals The impact of the interaction between the e-learning environment and the level of self-learning ability on critical thinking and achievement in mathematics among secondary school students

2019 ◽  
Vol 3 (6) ◽  
Author(s):  
Nourah Marzouq Al Qathami - Ghadir Zein Eddin Flambain
Keyword(s):  
Critical Thinking ◽  
Learning Environment ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Learning Ability ◽  
School Students ◽  
Significant Difference ◽  
E Learning ◽  
The Mean ◽  
Self Learning

The aim of the research is to identify the effect of the interaction between the e-learning environment and the level of self-learning ability on critical thinking and achievement in mathematics among secondary school students. In order to achieve the objectives of the study, the researcher relied on the semi-experimental approach, where the research tools were in the measure of self-learning ability, electronic achievement test, After verifying the validity of the research tools and their consistency, they were applied to a sample of (35) female high school students in Taif, They were divided into the first two experimental groups (18) and the second (17) according to the level of self-learning ability (high and low). The first group is taught through a virtual e-learning environment and the other through a personal electronic learning environment. The data were processed using the SPSS statistical program and the research reached a number of results, the most important of which are: There was a statistically significant difference (0.05) among the average scores of the students in the post-test of the achievement test among the first experimental group using the virtual e-learning environment, and the general average (14.28) and the second experimental group using the personal e-learning environment and got a general average (15.39), and shows the difference in favor of the second experimental group. There was also no statistically significant difference (0.05) between the mean scores of the students of the two groups in the post-measurement scores of the Critical Thinking Skills Scale. A statistically significant difference (0.05) was found between the mean scores of the students of the experimental groups in the academic achievement and the critical thinking skills scale due to the main effect of the different level of self-learning ability (high / low) For students with high self-learning ability, There were no statistically significant differences at (0.05) between the mean scores of the students of the two groups due to interaction between the e-learning environment (virtual / personal) and the level of self-learning (high / low) in academic achievement and critical thinking skills. In the light of the results, a number of recommendations and suggestions were presented to enhance the critical thinking skills and the achievement of mathematics in secondary school students and in all educational stages, Including the awareness of teachers and teachers of the importance of using e-learning environments in achieving the desired educational goals and attention to the development of thinking skills in general and critical thinking skills in particular to ensure the efficiency of the process of learning and continuous learning process.

The influence of learning style on satisfaction and learning effectiveness in the asynchronous web-based learning system

2017 ◽  
Vol 35 (4) ◽  
pp. 473-489 ◽  
Author(s):  
Fei-Fei Cheng ◽  
Chui-Chen Chiu ◽  
Chin-Shan Wu ◽  
Der-Chian Tsaih
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning System ◽  
Learning Effectiveness ◽  
Web Based ◽  
Content Type ◽  
Web Based Learning ◽  
Significant Difference ◽  
E Learning ◽  
The Web

Purpose The purpose of this paper is to investigate the effect of user’s learning style (including accommodators, divergers, convergers, and assimilators) on user’s satisfaction on the web-based learning system and their learning effectiveness. Design/methodology/approach This experimental research used the college students from a technology institute in Taiwan as the subject sources. By using the Kolb’s learning style model, the students are classified as four types of learners: convergers, divergers, assimilators, and accommodators. The authors analyzed the relationships among the different learning styles with their effectiveness of learning and satisfaction of using the web-based learning system. The mediation effect of gender is also presented. Findings This research indicates that: first, the satisfaction of the web-based learning system has significant influence on the learning performance of learners; second, different learning styles learners have no significant effect to the satisfaction on using the web-based learning system; third, learning effectiveness has significant difference among different learning style learners on the web-based learning system; the learning effectiveness of accommodators and divergers was significantly higher than the assimilators; fourth, different learning styles learners show significant difference in gender proportion. In addition to accommodators, whose proportion of women is higher than men, the other three learning styles’ proportions in men are higher than women. Research limitations/implications This study was grounded in the Kolb’s learning style theory. The authors provide implications for academic studies in e-learning research stream that aimed at understanding the role of learning style as well as gender differences in the asynchronous web-based learning system. Practical implications Results from this study provided the implications for students, educators, and e-learning system designers. The design of teaching materials as well as functions of e-learning systems should take learners’ learning style into consideration to ensure the best learning outcome. Originality/value This study examined the students’ learning style as well as gender differences in the asynchronous web-based learning system. An experiment was conducted to ensure the data were collected in a controlled environment, thus, offer the value that most of the prior study lacks.

scholarly journals Deploying an e-Learning Environment in Zanzibar: A Short Guide

2020 ◽  
Author(s):  
Caspar Groeneveld ◽  
Elia Kibga ◽  
Tom Kaye
Keyword(s):  
Learning Environment ◽  
World Bank ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Digital Content ◽  
Key Factors ◽  
The Third ◽  
Learning Platform ◽  
The World Bank ◽  
E Learning

In April 2020, the MoEVT and the World Bank approached the EdTech Hub to explore the feasibility of implementing a Virtual Learning Environment (VLE). The parties agreed on three deliverables to support this work. 1. A practical and actionable report analysing key factors to be considered in deploying an e-learning platform in Zanzibar. 2. A report documenting the process of sourcing appropriate digital content, aligning this content with the curriculum and populating the e-learning system accordingly. 3. An implementation plan to guide the deployment of an e-learning system in Zanzibar. This presentation deck is the third deliverable.

scholarly journals Using learning styles data to inform e-learning design: A study comparing undergraduates, postgraduates and e-educators

2011 ◽  
Vol 27 (6) ◽  
Author(s):  
Julie Willems
Keyword(s):  
Learning Styles ◽  
Learning Environments ◽  
Learning Style ◽  
Mixed Methods Research ◽  
Teaching And Learning ◽  
Learning Style Preferences ◽  
Index Of Learning Styles ◽  
Significant Difference ◽  
E Learning ◽  
Style Preferences

<span>What are the differences in learning styles between students and educators who teach and/or design their e-learning environments? Are there variations in the learning styles of students at different levels of study? How may we use this learning styles data to inform the design in e-learning environments? This paper details mixed-methods research with three cohorts teaching and learning in e-learning environments in higher education: novice undergraduate e-learners, graduate e-learners, and educators teaching in, or designing for, e-learning environments (Willems, 2010). Quantitative findings from the </span><em>Index of Learning Styles (ILS)</em><span> (Felder &amp; Silverman, 1988; Felder &amp; Soloman, 1991, 1994) reflect an alignment of the results between both the graduate e-learner and e-educator cohorts across all four domains of the</span><em>ILS</em><span>, suggesting homogeneity of results between these two cohorts. By contrast, there was a statistically significant difference between the results of the graduate and educator cohorts with those of the undergraduate e-learners on two domains: sensing-intuitive (p=0.015) and the global-sequential (p=0.007), suggesting divergent learning style preferences. Qualitative data was also gathered to gain insights on participants' responses to their learning style results</span>

The Value of Pacing in Promoting Self-Directed Learning

2019 ◽  
pp. 1-22
Author(s):  
Itumeleng I. Setlhodi
Keyword(s):  
Adult Learners ◽  
Learning Environment ◽  
Learning Outcomes ◽  
Learning Style ◽  
Learning Experience ◽  
Core Values ◽  
Self Directed Learning ◽  
Learning Framework ◽  
E Learning ◽  
Directed Learning

The chapter presents significant considerations for pacing amid directing own learning in an open distance e-learning environment (ODeL), assuming principles to achieve learning outcomes through processes that support learning style/s in leading own learning. Looking at a variety of factors, the prototypes for self-directedness and elements for self-pacing are presented. A case of an ODeL institution was explored and interviews conducted (n=57) to examine self-directed learning contextual factors in relation to the speed at which learners assume leadership in achieving learning outcomes within an (ODeL) context and gaining independence towards enhancing learning experience. The outcomes reveal that learners gain independence through adopting suitable speed, adopting core values, collaborating, support provided, and will to improve their skills. Finally, a self-directed paced learning framework for adult learners is offered.

scholarly journals The Customized xLearning Environment Model

2017 ◽  
Vol 7 (4) ◽  
pp. 39-52 ◽  
Author(s):  
Anabela Mesquita ◽  
Fernando Moreira ◽  
Paula Peres
Keyword(s):  
Learning Environment ◽  
Labour Market ◽  
Learning Style ◽  
Communication Technologies ◽  
Learning Objects ◽  
Learning Theories ◽  
Information Communication ◽  
Environment Model ◽  
E Learning ◽  
The One

The evolution in Information Communication Technologies, the changes in the labour market requirements together with the needs and expectation of students who arrive in higher education institutions, are forcing education to adapt. Students do not learn all at the same pace nor have all the same learning style or habits. An ideal learning environment would consider these differences as well as students' background, needs and characteristics. It should take into consideration the latest developments in learning theories, communication, social networks and learning objects available in learning management systems. It should also bridge the gap between education and the labour market by connecting all the actors whether they are students, teachers, experts or potential employers. In this learning environment education is closer to the job market allowing all actors to play in this scenario. In this paper, we propose a model where all the learning and e-learning elements are present and where the student is the focus and the one who decides what should be included in this learning environment in order to create a Customized xLearning Environment.

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