The Development and Evaluation of a Smart E-Learning Platform for Programming Instruction

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.

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Multi-Agent System Observer: Intelligent Support for Engaged E-Learning

Electronics ◽

10.3390/electronics10121370 ◽

2021 ◽

Vol 10 (12) ◽

pp. 1370

Author(s):

Igor Vuković ◽

Kristijan Kuk ◽

Petar Čisar ◽

Miloš Banđur ◽

Đoko Banđur ◽

...

Keyword(s):

Machine Learning ◽

Machine Learning Algorithms ◽

Intelligent Support ◽

Course Success ◽

States Of Emergency ◽

Learning Platform ◽

Rapid Spread ◽

E Learning ◽

Multi Agent ◽

Observer System

Moodle is a widely deployed distance learning platform that provides numerous opportunities to enhance the learning process. Moodle’s importance in maintaining the continuity of education in states of emergency and other circumstances has been particularly demonstrated in the context of the COVID-19 virus’ rapid spread. However, there is a problem with personalizing the learning and monitoring of students’ work. There is room for upgrading the system by applying data mining and different machine-learning methods. The multi-agent Observer system proposed in our paper supports students engaged in learning by monitoring their work and making suggestions based on the prediction of their final course success, using indicators of engagement and machine-learning algorithms. A novelty is that Observer collects data independently of the Moodle database, autonomously creates a training set, and learns from gathered data. Since the data are anonymized, researchers and lecturers can freely use them for purposes broader than that specified for Observer. The paper shows how the methodology, technologies, and techniques used in Observer provide an autonomous system of personalized assistance for students within Moodle platforms.

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The Impact of Narrative Feedback, E-Learning Modules and Realistic Video and the Reduction of Misconception

Education Sciences ◽

10.3390/educsci11040158 ◽

2021 ◽

Vol 11 (4) ◽

pp. 158

Author(s):

Abdul Halim ◽

Elmi Mahzum ◽

Muhammad Yacob ◽

Irwandi Irwandi ◽

Lilia Halim

Keyword(s):

Biology Education ◽

Free Fall ◽

Percentage Reduction ◽

Significant Treatment ◽

Learning Modules ◽

Physics Courses ◽

Learning Platform ◽

Quasi Experimental ◽

E Learning ◽

The Impact

Physics learning in universities utilized the Moodle-based e-learning media as an online learning platform. However, the effectiveness of remediating misconception using online media has not been widely researched. Therefore, this study was set to determine the level of misconception percentage reduction through the use of narrative feedback, the e-learning modules, and realistic video. The study was a quantitative approach with a quasi-experimental method involving 281 students who were taking basic physics courses in the Department of Physics, Chemistry, and Biology Education. The data collection used a three-tier diagnostic test based on e-learning at the beginning of the activity and after the treatment (posttest). The results of the data analysis with descriptive statistics show that the most significant treatment in reducing misconception percentage on the topic of free-fall motion was in the following order: narrative feedback, e-learning modules and realistic video. The misconception percentage reduction in the sub-concept of accelerated free- fall was effective for all types of the treatments.

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Recommender E-Learning platform using sentiment analysis aggregation

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications ◽

10.1145/3419604.3419784 ◽

2020 ◽

Author(s):

Jamal Mawane ◽

Abdelwahab Naji ◽

Mohamed Ramdani

Keyword(s):

Sentiment Analysis ◽

Learning Platform ◽

E Learning

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Evaluating the Usability of an E-Learning Platform within Higher Education from a Student Perspective

Proceedings of the 2019 3rd International Conference on Education and E-Learning ◽

10.1145/3371647.3371661 ◽

2019 ◽

Cited By ~ 1

Author(s):

Khaled Abuhlfaia ◽

Ed de Quincey

Keyword(s):

Higher Education ◽

Student Perspective ◽

Learning Platform ◽

E Learning

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Teaching Mathematics at Distance: A Challenge for Universities

Education Sciences ◽

10.3390/educsci11010001 ◽

2020 ◽

Vol 11 (1) ◽

pp. 1

Author(s):

Rosalinda Cassibba ◽

Daniela Ferrarello ◽

Maria Flavia Mammana ◽

Pasquale Musso ◽

Mario Pennisi ◽

...

Keyword(s):

Teaching Mathematics ◽

State University ◽

Distance Teaching ◽

Face To Face ◽

University Mathematics ◽

Learning Platform ◽

E Learning ◽

University Level ◽

Teaching Modality ◽

The Way

The focus of this research is how Sicilian state university mathematics professors faced the challenge of teaching via distance education during the first wave of the COVID-19 pandemic. Since the pandemic entered our lives suddenly, the professors found themselves having to lecture using an e-learning platform that they had never used before, and for which they could not receive training due to the health emergency. In addition to the emotional aspects related to the particular situation of the pandemic, there are two aspects to consider when teaching mathematics at a distance. The first is related to the fact that at university level, lecturers generally teach mathematics in a formal way, using many symbols and formulas that they are used to writing. The second aspect is that the way mathematics is taught is also related to the students to whom the teaching is addressed. In fact, not only online, but also in face-to-face modality, the teaching of mathematics to students on the mathematics degree course involves a different approach to lessons (as well as to the choice of topics to explain) than teaching mathematics in another degree course. In order to investigate how the Sicilian State university mathematics professors taught mathematics at distance, a questionnaire was prepared and administered one month after the beginning of the lockdown in Italy. Both quantitative and qualitative analyses were made, which allowed us to observe the way that university professors have adapted to the new teaching modality: they started to appropriate new artifacts (writing tablets, mathematical software, e-learning platform) to replicate their face-to-face teaching modality, mostly maintaining their blackboard teacher status. Their answers also reveal their beliefs related to teaching mathematics at university level, noting what has been an advantageous or disadvantageous for them in distance teaching.

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Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

Data ◽

10.3390/data6050049 ◽

2021 ◽

Vol 6 (5) ◽

pp. 49

Author(s):

Rana Saeed Al-Maroof ◽

Khadija Alhumaid ◽

Iman Akour ◽

Said Salloum

Keyword(s):

Conceptual Model ◽

Critical Mass ◽

Ease Of Use ◽

Daily Routine ◽

Perceived Ease Of Use ◽

Online Questionnaire ◽

Learning Platform ◽

E Learning ◽

Learning Platforms ◽

Vaccination Hesitancy

The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance of e-learning platforms. Therefore, this research attempts to explore the post-acceptance of e-learning platforms based on a conceptual model that has various variables. Each variable contributes differently to the post-acceptance of the e-learning platform. The research investigates the moderating role of vaccination fear on the post-acceptance of e-learning platforms among students. Thus, the study aims at exploring students’ perceptions about their post-acceptance of e-learning platforms where vaccination fear functions as a moderator. The current study depends on an online questionnaire that is composed of 29 items. The total number of respondents is 630. The collected data was implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. Fear of vaccination has a significant impact on the acceptance of e-learning platforms, and it is a strong mediator in the conceptual model. The findings indicate a positive effect of the fear of vaccination as a mediator in the variables: perceived ease of use and usefulness, perceived daily routine, perceived critical mass and perceived self-efficiency. The implication gives a deep insight to take effective steps in reducing the level of fear of vaccination, supporting the vaccination confidence among educators, teachers and students who will, in turn, affect the society as a whole.

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