The Factors Influencing Digital Literacy Practice in Vocational Education: A Structural Equation Modeling Approach

European Journal of Educational Research, Journal Year: 2023, Volume and Issue: volume-12-2023(volume-12-issue-2-april-2023), P. 1109 - 1121

Published: April 9, 2023

<p style="text-align:justify">In the future, vocational students will face all changes and developments in technology information. In this context, students' digital literacy skills need to be trained adapt demands of world work. This article aims present results a study on factors that can improve practice for as roadmap learning current era. The sampling technique used purposive random 8 Vocational Schools East Java Province, Indonesia. number respondents amounted 355 second-year students. has found online learning, motivation, introduction are influenced by practices, while teacher readiness infrastructure must mediated learning. findings indicate collaboration from various parties is needed teachers, school administrators, policymakers planning focuses abilities.</p>

Language: Английский

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E-Learning Readiness Assessment Using Machine Learning Methods

Sustainability, Journal Year: 2023, Volume and Issue: 15(11), P. 8924 - 8924

Published: June 1, 2023

Assessing e-learning readiness is crucial for educational institutions to identify areas in their systems needing improvement and develop strategies enhance students’ readiness. This paper presents an effective approach assessing by combining the ADKAR model machine learning-based feature importance identification methods. The motivation behind using learning approaches lies ability capture nonlinearity data flexibility as data-driven models. study surveyed faculty members students Economics at Tlemcen University, Algeria, gather based on model’s five dimensions: awareness, desire, knowledge, ability, reinforcement. Correlation analysis revealed a significant relationship between all dimensions. Specifically, pairwise correlation coefficients reinforcement are 0.5233, 0.5983, 0.6374, 0.6645, 0.3693, respectively. Two algorithms, random forest (RF) decision tree (DT), were used most important factors influencing In results, knowledge consistently identified factors, with scores of (0.565, 0.514) (0.170, 0.251) RF DT Additionally, SHapley Additive exPlanations (SHAP) values explore further impact each variable final prediction, highlighting influential factor. These findings suggest that universities should focus enhancing abilities providing them necessary increase e-learning. provides valuable insights into university

Language: Английский

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Challenge-based learning and design thinking in higher education: institutional strategies for linking experiential learning, innovation, and academic performance

Innovations in Education and Teaching International, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: March 27, 2024

This research describes the results of implementation Challenge Based Learning (CBL) with Design Thinking (DT) methodology, evaluating its stages for co-creation solutions to challenges in business contexts combined an innovative institutional strategy higher education. articulated CBL at Universidad de la Costa Barranquilla Colombia, facilitates technological development, and innovation products, achieving learning generic competencies stipulated subjects, regardless profession student is pursuing. The show concentration pedagogical didactic strategies due their effectiveness obtaining solution challenge associated products. Finally, test students' improve by 55% when compared previous periods where was not executed, contributing products that have a favourable impact on social environment.

Language: Английский

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Decoding Success: The Role of E-Learning Readiness in Linking Technological Skills and Employability in Hospitality Management Graduates

Information, Journal Year: 2025, Volume and Issue: 16(1), P. 47 - 47

Published: Jan. 14, 2025

Technological advancement alongside global epidemics stimulated the widescale implementation of e-learning. However, it is reported that e-learning in experimental phase and still requires fundamental improvements, particularly disciplines go beyond theoretical knowledge. The current study examines nexus between readiness, psychological motivation, technological skills, employability skills among hospitality management undergraduates. It also explores moderating effects student engagement on linkages these variables. To end, this adopted a quantitative approach used self-administered questionnaire survey to collect primary data. sample included total 428 participants who were recruited from undergraduates programs Egyptian universities using convenience sampling technique. Data analysis performing PLS-SEM Smart PLS 3.0 software. results confirm positive motivation both readiness underscores mediated role predictors outcomes. Additionally, findings highlight effect supporting eventually skills. This adds body knowledge provides valuable insights for education institutions policymakers optimize experiences.

Language: Английский

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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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Digital dynamos: Technological readiness and online learning self-efficacy of fitness and sports majors in a State University in the Philippines

Sportis Scientific Journal of School Sport Physical Education and Psychomotricity, Journal Year: 2025, Volume and Issue: 11(2), P. 1 - 22

Published: April 1, 2025

There has been a plethora of research on technological readiness and online learning self-efficacy across several fields in recent years. While some shown correlation between the two, vast majority investigations have inverse. Additionally, fitness sports higher education is lacking, particularly Philippines. In this study, 256 exercise science students from selected state university are surveyed to better understand nature connection TR OLSE. Furthermore, study used correlational analysis such as Pearson’s r multiple regression find out how four constructs OLSE were related each other. The results showed that significantly one another. Optimism, insecurity, inventiveness, discomfort—the dimensions—are also positively associated Results suggest students’ might be substantially enhanced if they more likely make advantage state-of-the-art resources made available through platforms. Herein proposed recommendations initiatives for further study.

Language: Английский

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Factors affecting student readiness towards OBE implementation in engineering education: Evidence from a developing country

Heliyon, Journal Year: 2023, Volume and Issue: 9(10), P. e20905 - e20905

Published: Oct. 1, 2023

Engineering universities in the South Asian region have been investigating efficacy of Outcome-Based Education (OBE) preparing their students to meet demands Fourth Industrial Revolution (4IR). Evaluating students' motivations towards OBE is crucial for its successful implementation into engineering degree programs. This research aims explore readiness at one prominent Bangladesh. To achieve this aim, an instrument was developed comprehensively measure OBE. The survey with a 7-point scale, measuring six constructs proposed model, such as (a) Students' awareness, (b) Teachers' commitment, (c) Institutional support, (d) Perceived easiness, (e) motivation, and (f) Self-efficacy, administered pilot sample sixty-eight participants (N = 68) from two domains: Civil Environmental (CEE), Computer Science (CSE). final data collected cohort Three Hundred Seventy 370), distributed across four domains. A structural equation modeling (SEM) help Smart-PLS software conducted determine construct validity measurement model evaluate fit. Results analysis indicate no significant positive effect teachers' commitment (TC) on (SR). However, results reveal awareness (SA) perceived easiness (PE) also moderating role institutional support (IS) relation between exogenous variables (IS, SA, PE) endogenous variable recommends Support essential instructors implement outcome-based education education.

Language: Английский

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Examining pre-service teachers regulation in distance and traditional preschool design and technology education

Heliyon, Journal Year: 2023, Volume and Issue: 9(2), P. e13738 - e13738

Published: Feb. 1, 2023

The significance of adapting to a rapidly changing world is quite evident in the current day; thus, awareness how teach students so that they can be ready face challenges future very important. Early education has huge impact on further development children, preschool teachers must competent and use appropriate teaching educational methods. In this study, self-directed learning (SDL) investigated by considering two variables, namely type study (full-time part-time students) modalities caused COVID-19 pandemic (pre-, during post-COVID-19 confinement). We collected data from 418 participants analysed them using descriptive statistics, 2 × 3 factorial analysis variance (ANOVA) two-step cluster analysis. results show status pre-service teachers' perceptions their SDL variables influenced it. There were significant differences students' self-reported skills, depending environment study. indicator helps educators identify change curriculum work with students. It allows faculty highlight positive aspects different encountered, as well characteristics types process improve skills. may help design tailored metacognitive scaffolds take into account modalities. Further studies are needed investigate effectiveness digital open environments address both practices.

Language: Английский

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Resilient Strategies for Internet-Based Education: Investigating Engineering Students in the Canary Islands in the Aftermath of COVID-19

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1574 - 1574

Published: Feb. 13, 2024

The COVID-19 pandemic has brought about notable changes in the education sector, specifically shift towards online learning. This study examined experiences of 124 engineering students Canary Islands, an EU ultra-peripheral region, as they adapted to during pandemic. A comprehensive survey assessed students’ five key dimensions, including satisfaction with traditional face-to-face learning, perceptions department’s transition module-specific adaptations, personal adaptation strategies, and teaching staff. study’s methodology involved statistical analyses using Microsoft Excel v16.0 SPSS 27 tools identify patterns draw conclusions. findings indicate a nuanced landscape. Students demonstrated strong technological literacy readiness for However, expressed concerns educators’ digital proficiency perceived decline educational quality. These results emphasize critical need sustainable, adaptable, inclusive particularly regions like Islands that face unique challenges. implications have broader relevance education. It is essential note educators receive training methodologies improve quality

Language: Английский

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Empowering E-Learning Excellence: Unveiling the Influence of Outcome Expectation, Learning Motivation, and Self-Efficacy in the Industrial Era 4.0

Journal of Advanced Research in Applied Sciences and Engineering Technology, Journal Year: 2024, Volume and Issue: 42(1), P. 254 - 264

Published: March 26, 2024

The advent of the 4th industrial revolution has fundamentally transformed various aspects human life. objective this study was to examine influence learning motivation, outcome expectation, and self-efficacy on enhancing quality online in context Fourth Industrial Revolution. population consisted 250 individuals from University Engineering Technology Taxila (UET) who were participating e-learning paradigm. Data collected while using an survey questionnaire. data run Smart PLS 4.0 reveals that efficacy are important factors assessing level education. In addition, it found played a role mediating impact motivation learning. However, other instances, have significant effect maximizing e-learning.

Language: Английский

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