E-Learning Platform of STEAM Aesthetic Course Materials Based on User Experience

2018 ◽  
Author(s):  
Ting Ya Wang ◽  
Cheng Hung Wang
Keyword(s):  
User Experience ◽  
Course Materials ◽  
Learning Platform ◽  
E Learning

Auto Grouping and Peer Grading System in Massive Open Online Course (MOOC)

2015 ◽  
Vol 13 (3) ◽  
pp. 25-43 ◽  
Author(s):  
Yi Chiou ◽  
Timothy K. Shih
Keyword(s):  
Flipped Classroom ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Course Materials ◽  
Massive Open Online Course ◽  
Learning Platform ◽  
E Learning

E-learning is a progressive way of learning through online courses. Instructors pass information to learners via context and videos embedded in active webpages, so that learners intake knowledge of what they need. Now e-learning is not simply providing course materials, while the trend of Massive Open Online Courses (MOOCs) is recently applied widely, the concept of flipped classroom is well deployed everywhere. Courses are designed more practical, suitable, and problem-solving inclined. By this way, learners' learning effectiveness and learning motivation are triggered. In this research, the authors will develop an online learning platform and improve the existing methods of peer grouping and peer assessment, to promote the concept of MOOCs.

scholarly journals Project OPUS: Development and evaluation of an electronic platform for pain management education of medical undergraduates in resource-limited settings

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243573
Author(s):  
Tonia C. Onyeka ◽  
Nneka Iloanusi ◽  
Eve Namisango ◽  
Justus U. Onu ◽  
Kehinde S. Okunade ◽  
...  
Keyword(s):  
Pain Management ◽  
User Experience ◽  
Management Education ◽  
Instant Messaging ◽  
Learning Approaches ◽  
Pain Education ◽  
Learning Platform ◽  
Post Test ◽  
E Learning ◽  
Medical Colleges

Introduction Pain is a very frequent symptom that is reported by patients when they present to health professionals but remains undertreated or untreated, particularly in low-resource settings including Nigeria. Lack of training in pain management remains the most significant obstacle to pain treatment alongside an inadequate emphasis on pain education in undergraduate medical curricula, negatively impacting on subsequent care of patients. This study aimed to determine the effect of a 12-week structured e-Learning course on the knowledge of pain management among Nigerian undergraduate medical students. Methods Prospective, multisite, pre-post study conducted across five medical colleges in Nigeria. Structured modules covering aspects of pain management were delivered on an e-Learning platform. Pre- and post-test self-assessments were carried out in the 12-week duration of the study. User experience questionnaires and qualitative interviews were conducted via instant messaging to evaluate user experiences of the platform. User experience data was analysed using the UEQ Data Analysis Tool and Framework Analysis. Results A total of 216 of 659 eligible students completed all sections of the e-Learning course. Participant mean age was 23.52 years, with a slight female predominance (55.3%). Across all participants, an increase in median pre- and post-test scores occurred, from 40 to 60 (Z = 11.3, p<0.001, effect size = 1.3), suggestive of increased knowledge acquisition relating to pain management. Participants suggested e-Learning is a valuable approach to delivering pain education alongside identifying factors to address in future iterations. Conclusion e-Learning approaches to pain management education can enhance traditional learning methods and may increase students’ knowledge. Future iterations of e-Learning approaches will need to consider facilitating the download of data and content for the platform to increase user uptake and engagement. The platform was piloted as an optional adjunct to existing curricula. Future efforts to advocate and support integration of e-Learning for pain education should be two-fold; both to include pain education in the curricula of medical colleges across Nigeria and the use of e-Learning approaches to enhance teaching where feasible.

scholarly journals Studying faculty members’ readiness to use Shaqra University e-learning platform

2021 ◽  
Vol 22 (3) ◽  
pp. 1556
Author(s):  
Raed Alotaibi ◽  
Abdulrahman Alghamdi
Keyword(s):  
User Experience ◽  
Self Efficacy ◽  
Educational Needs ◽  
Faculty Members ◽  
Information And Communications Technology ◽  
Learning System ◽  
Communications Technology ◽  
Self Confidence ◽  
Learning Platform ◽  
E Learning

In Saudi Arabia, most universities are seeking to implement e-learning to improve education access and processes. Although some universities have already implemented e-learning, most have not. Shaqra University is aiming to implement an e-learning system. Therefore, through the use of a questionnaire, this study examines faculty members’ readiness to use the e-learning platform and assesses their readiness based on gender differences and user experience. Factors considered were usage self-efficacy, self-confidence in dealing with e-learning, Attitude towards e-learning and educational needs towards e-learning. The results revealed that, based on all these factors, faculty members were ready to use the platform of e-learning. There were no differences between male and female participants in self-efficacy in using information and communications technology, self-confidence in e-learning and educational needs towards e-learning. The females’ mean score was significantly higher than the males’ mean score. Between faculty members with no experience and faculty members’ who were experienced in e-learning, user experience was significantly different for self-efficacy of using information and communications technology, self-confidence in e-learning and attitude towards e-learning. These results revealed that faculty members are ready to use a platform of e-learning and these results may help decision makers in Shaqra University to successfuly adopt an e-learning platform.

Cloud-Based E-Learning Platform

2016 ◽  
Vol 15 (5) ◽  
pp. 109-130 ◽  
Author(s):  
Mohsen El-Shawarby
Keyword(s):  
Learning Platform ◽  
E Learning

scholarly journals Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform

2021 ◽  
Vol 11 (10) ◽  
pp. 4672
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Technology Acceptance ◽  
Time Management ◽  
Agricultural Sector ◽  
Geographical Location ◽  
Ease Of Use ◽  
Content Quality ◽  
Learning Platform ◽  
Primary Determinant ◽  
E Learning ◽  
Acceptance Model

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.

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

Electronics ◽  
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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