Evaluating e-learning readiness using explainable machine learning and key organizational change factors in higher education

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

E-learning readiness (ELR) is critical for implementing digital education strategies, particularly in developing countries where online learning faces unique challenges. This study aims to provide a concise and actionable framework assessing predicting ELR Algerian universities by combining the ADKAR model with advanced machine algorithms Shapley Additive Explanations (SHAP). Data were collected through semi-structured interviews questionnaires from 530 students professors across universities, focusing on five factors: Awareness, Desire, Knowledge, Ability, Reinforcement. Eight models employed analyze data, selected their ability manage complex, high-dimensional datasets capture non-linear relationships: k-nearest neighbors, support vector machines, partial least squares, random forests, gradient boosting, decision trees, CatBoost, XGBoost. Results show that ensemble methods CatBoost XGBoost achieving best predictive performance ( $$R^{2}$$ = 0.811), reflecting explain variance ELR. SHAP analysis identified "Ability" as most influential factor, followed "Desire" "Reinforcement." combination of provides novel insights highlighting areas intervention, such enhancing skills promoting knowledge acquisition. The use this enhances interpretability, enabling stakeholders identify impactful factors implement targeted, effective interventions address key barriers e-learning readiness.

Language: Английский

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Study on Carbon Emission Influencing Factors and Carbon Emission Reduction Potential in China's Food Production Industry

Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119702 - 119702

Published: July 31, 2024

Language: Английский

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A needs analysis on the utilization of learning management systems as blended learning media in elementary school

Journal of Education and e-Learning Research, Journal Year: 2024, Volume and Issue: 11(1), P. 56 - 65

Published: Jan. 12, 2024

In Indonesia, educational activities have shifted to home-based learning after the COVID-19 epidemic broke out. Consequently, digital has become a necessary option for many teachers. This study aims understand teachers’ experiences, platform mastery, digital-based pedagogy and role of parents in at home implementing teaching process using management system-based blended media during epidemic. A questionnaire was used this gather data on experiences teachers, parents' participation COVID-19, mastery platforms qualitative approach. involved 16 students’ 96 elementary school The analyzed NVivo Pro software. testing validity carried out through triangulation. Results recent revealed that based their experience, teachers still videos as main material they assessment platforms. impacted by changing from distant new normal. Additionally, selection considering effectiveness, process, available facilities literacy. Moreover, not only provided but were also more active facilitators supervisors home. contributes provide some considerations mathematics designing schools

Language: Английский

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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 5429 - 5456

Published: July 13, 2024

Language: Английский

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Investigation of EFL Students' Readiness and Metaphorical Perceptions for Emergency Remote Teaching

Batı anadolu eğitim bilimleri dergisi, Journal Year: 2024, Volume and Issue: 15(1), P. 116 - 150

Published: March 5, 2024

Çalışma, yükseköğretim öğrencilerinin kriz sonrası acil uzaktan öğretime (AUÖ) hazır olma durumlarını ve metaforik algılarını belirlemeyi amaçlamıştır. Bu amaçla çoklu araştırma yöntemi kullanılmıştır. kapsamda öğrencilerin AUÖ'e yönelik bulunuşluklarını belirlemek için tarama modeli, ise fenomenolojik desen Araştırmanın örneklemini bir devlet üniversitesinin İngiliz Dili Edebiyatı bölümünde öğrenim gören 411 öğrenci oluşturmaktadır. Verilerin toplanmasında ortaya koymak ölçek algılarına ışık tutmak "Acil Uzaktan Öğretim.......... gibidir çünkü........" formu Nicel verileri analiz etmek betimsel kestirimsel yöntemleri kullanılırken, nitel Çalışma sonucunda, hazırbulunuşlukları açısından sınıf düzeyi, kullanılan cihaz bilgisayar teknoloji kullanım becerisi yeterlilik algısına göre anlamlı fark bulunurken; cinsiyet eğitim deneyimi gruplar arasında bulunmamıştır. Ayrıca hazırbulunuşluk puanının (X=3.27) ortalamanın üzerinde olduğu görülmüştür. Nitel veri analizi sonuçlarına göre, katılımcıların çoğu AUÖ’e ilişkin olumsuz algılara sahip olmakla birlikte, olumlu çağrışımlara bazı metaforlar da çıkmıştır. Örneğin, algı çalışmasında, sadece zorlayıcı, yetersiz, etkisiz, sistematik olmayan sınırlı gibi algıların değil, aynı zamanda rahat, etkili, destekleyici geliştirici çıktığı

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Toward a Comprehensive Evaluation of Student Knowledge Assessment for Art Education: A Hybrid Approach by Data Mining and Machine Learning

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 5020 - 5020

Published: June 8, 2024

By analyzing students’ understanding of a certain subject’s knowledge and learning process, evaluating their level, we can formulate plans teachers’ curricula. However, the large amount data processing consumes lot manpower time resources, which increases burden on educators. Therefore, this study aims to use machine model build evaluate levels for art education. To improve prediction accuracy model, SVM was adopted as basic in study, combined with SSA, ISSA, KPCA-ISSA algorithms turn form composite model. Through experimental analysis accuracy, found that KPCA-ISSA-SVMM reached highest, at 96.7213%, while only 91.8033%. Moreover, by putting results four models into confusion matrix, it be an increase complexity probability classification errors gradually decreases. It seen from importance experiment achievements target subjects (PEG) have greatest influence effect, score is 9.5958. should pay more attention characteristic value when levels.

Language: Английский

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E-learning use and teaching and learning performance in Tanzanian universities

E-Learning and Digital Media, Journal Year: 2024, Volume and Issue: unknown

Published: March 13, 2024

The use of E-learning as a new educational technology is currently top priority in many universities developing-countries. main purpose this research to determine how e-learning affects the teaching and learning (T&L) performance Tanzanian universities. Employing questionnaire tool, quantitative approach was used collect data. A total 390 out 400 respondents including lectures students were taken into account, with 97.5% response rate. Data SPSS version 21 analyzed using partial least squares structural equation modeling (PLS-SEM) technique confirmatory factor analysis (CFA). According findings study, only one nine hypotheses tested have non-significant effect on T&L performance, indicated by p-values >0.01. Further, there no statistically significant perceived usefulness lowering cost/expenses. Furthermore, other variables assessed expectancy, ease use, significance increased quality instructional material delivery, convenience facilities. study inform policymakers reformulate information communication (ICT) policy clearly spell adoption for providing facilities should, particular, clear vision implementing an appealing, conducive service delivery environment, well achieving appropriate high performance. By influencing cost/expenses T&L, material, indicators paper contributes improve understanding factors (including usefulness, use) These factors, which substantial influence through affecting its indicators, not thoroughly addressed earlier relevant studies.

Language: Английский

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Perception of Simulation Culture Readiness Among Healthcare Personnel at a Medical City in Saudi Arabia

Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Introduction Research in Saudi Arabia concerning health organizations' readiness to use simulation healthcare personnel training is insufficient. Therefore, this study explored culture and identified associations between characteristics at a medical city the western region of Arabia. Methods This cross-sectional used convenience sampling Simulation Culture Organizational Readiness Survey (SCORS), 36-item questionnaire, collect data from working 3 hospitals 5 primary care centers A total 209 participated study. Results The mean SCORS score was 120.53 (standard deviation ±28.32). Men had significantly higher for Change Time, Personnel, Resource subscale scores, as well score. Participants with undergraduate degrees Defined Need Support scores. In multiple regression analysis, sex being certified statistically predicted score, whereas alone only Conclusions showed great potential integrate training. variation based on demographic warrants further evaluation consideration by clinical leaders better optimize outcomes

Language: Английский

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First-Year Student's E-Readiness to Use Learning Management System: COVID-19 Realities

International journal of e-learning & distance education, Journal Year: 2023, Volume and Issue: 38(1)

Published: Nov. 6, 2023

The COVID-19 pandemic has profoundly impacted higher education institutions worldwide, prompting a rapid shift towards online learning environments. This study aims to assess the e-readiness of first-year students in using Learning Management System (LMS) context COVID-19. researchers used Technology Acceptance Model (TAM) framework understand students’ acceptance and adoption technology, focusing on perceived usefulness ease use. employed concurrent mixed methods approach: To what extent were University South Africa (UNISA) e-ready use LMS for engaging teaching, learning, assessment activities during pandemic? A sample 2,707 30 academics from diverse academic disciplines was selected nine colleges African Open, Distance, e-Learning (ODeL) institution years 2020 2021. evaluated technological proficiency, digital literacy skills, access devices internet, their perceptions attitudes assessment. explored experiences, motivations, barriers effectively an pandemic. Preliminary findings indicated that while many had basic skills necessary resources, faced challenges adapting These included limited internet connectivity, lack technical support, difficulties managing time motivation, unfamiliarity with resources activities. However, also expressed positive flexibility accessibility offered by appreciating convenience available through LMS. outcomes this research will inform educators, administrators, policy-makers developing strategies enhance improve implementation Addressing identified can lead more inclusive effective environment, ensuring equitable amidst ongoing realities.Keywords: COVID-19, literacy, e-Readiness, First-year students, Open-Distance e-Learning, L’état de cyberpréparation des étudiants à l’utilisation du système gestion l’apprentissage : contexte la Résumé La pandémie profondément changé culture dans le monde établissements d’enseignement supérieur et accéléré transition vers environnements d’apprentissage en ligne. Cette étude pour objectif d’évaluer l’état première année universitaire l’ut (SGA) Les chercheurs ont utilisé comme cadre, modèle d’acceptation technologie (MAT), afin comprendre degré d’adoption par les ciblant leur perception sur sa facilité d’utilisation son utilité. utilise une approche méthodes mixtes simultanées Dans quelle mesure l’Université d’Afrique Sud sont-ils préparés au numérique utiliser SGA s’intéresser aux activités d’enseignement, d’évaluation ligne durant COVID-19? Un échantillon 2 707 provenant universités différentes été sélectionné partir neuf (9) collèges participants l’Institut collectivité ouverte, distance (IODL) Sud, pendant années L’étude évalue l’aptitude technologie, habiletés numériques, l’accessibilité outils technologiques l’Internet ainsi que attitude face l’évaluation Elle analyse également expériences, motivation barrières d’une utilisation efficace s’engager résultats préliminaires indiquent qu’alors plusieurs possèdent numériques base accès ressources essentielles, d’entre eux difficultés d’adaptation Ces comprennent qualité connexion Internet, manque soutien technique, celles gérer temps familiarité avec SGA. Cependant, aussi exprimé envers flexibilité peut offrir, même qu’ils apprécié avantages diversité offertes un constats cette recherche vont permettre renseigner éducateurs, administrateurs décideurs développement stratégies accroître améliorer l’implantation Agir défis identifiés ne conduire environnement plus inclusif efficace, assurant équitable l’éducation continuité réalités COVID-19.Mots-clés habileté numérique, état cyberpréparation, universitaire, apprentissage ligne,

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Exploring music students' resistance to innovation as a moderator in the relationship between e‐learning adoption and academic performance

Psychology in the Schools, Journal Year: 2024, Volume and Issue: 61(6), P. 2612 - 2633

Published: Feb. 26, 2024

Abstract A teaching strategy known as an “e‐learning system” involves the use of electronic technology to encourage and assist learning in a classroom setting. According increasing rise number pupils using modern communication technologies, alterations e‐learning system are now feasible. The study aims explore relationship between adoption, attitude, academic performance regulations students' resistance innovation from perspective Chinese students. Recognizing mediating impact adoption (ELAD) well regulating function (RTI) is crucial for completely comprehending how attitude (ELAT) influences music student (SP). objective this find association ELAT out ELAD performance. random sampling technique was utilized quantitatively. Data were collected 293 education students China questionnaire method. obtained data analyzed through descriptive statistics SPSS statistical software. research conducted educational institutions Beijing. PLS‐SEM stands Partial Least Squares Structural Equation Modeling. It's method used analyzing relationships variables. (PLS) software chosen its versatility handling complex with small sample sizes. PLS ability handle multicollinearity, making it robust choice requiring accurate stable predictions limited data. analyzes connection attitude. findings indicate role objections mediation effect adoption. suggests that positive toward enhances work underline significance offer useful policies improving

Language: Английский

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