PERCEIVED SOCIAL SUPPORT AND ITS DIMENSIONS IN RELATION TO ACADEMIC ACHIEVEMENT: A META-ANALYSIS AMONG UNDERGRADUATE STUDENTS DOI Open Access
Liu Jiayang, Zakiah Mohamad Ashari, H J Zhang

et al.

Problems of Education in the 21st Century, Journal Year: 2024, Volume and Issue: 82(6), P. 869 - 891

Published: Dec. 22, 2024

Undergraduate academic achievement serves as a vital measure of higher education standards. The impact perceived social support on outcomes has gained considerable attention. Nevertheless, existing studies have shown varied results regarding its correlation with undergraduate achievement, and the moderating effects remain unclear. This research utilized meta-analytic method to comprehensively assess link between support, including subtypes (teacher, peer, parental support), achievement. It further explored how variables like gender, economic level, cultural background measurement type function moderators. analysis incorporated 27 studies, resulting in 41 distinct effect sizes across 31,019 participants. indicated positive but modest teacher having strongest among subdimensions. Moreover, contextual demographic factors support-achievement relationship exhibited variations different subdimensions support. study provides essential empirical evidence about complex mechanisms linking outcomes, offering theoretical practical guidance for educational policy future research. Keywords: type, background, meta-analysis,

Language: Английский

Dataset on Technology Acceptance in E-Learning: A PLS-SEM Analysis Using Extended TAM Among Undergraduate Students in Indonesia DOI Creative Commons

Ananto Tri Sasongko,

Muhamad Ekhsan,

Muhamad Fatchan

et al.

Telematics and Informatics Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100192 - 100192

Published: March 1, 2025

Language: Английский

Citations

0
Measuring the Impact of Web‐Based Educational Tools on Enhancing Student Learning Indicators in Programming Skills, Computational Thinking, and Problem‐Solving DOI

Mohammed Yahya Alghamdi

Computer Applications in Engineering Education, Journal Year: 2025, Volume and Issue: 33(2)

Published: Feb. 27, 2025

ABSTRACT E‐learning technologies now dominate education transformation, including programming education, which requires practical activities and immediate feedback. However, several students find difficulties in learning through traditional instructional methods because these fail to create full student engagement advanced, concept‐specific assistance. This study explores how web‐based educational tools, particularly e‐learning platforms, serve develop computational thinking problem‐solving abilities of IT diploma at Al‐Baha University. Students participated an experimental research design they were divided into two groups. One group used tools while the other followed classroom teaching. Student performance data measured by pre‐tests post‐tests combined with surveys that assessed students' abilities. Computational along skills academic levels improved more than control their pass rates increased notably. The delivered superior results for Learning Gain Approving concepts comprehension addition achievements. felt satisfied better involvement due contact interactive methods. Interactive enables improve academics motivation deliver flexible effective experiences. Through its findings advances benefits knowledge higher provides concrete suggestions integrate technology education.

Language: Английский

Citations

0
Students experiences and motivational factors on using e-learning systems in higher education institutions in Tanzania DOI Creative Commons
Mustapha Almasi, Fred Mgata, Haruni Machumu

et al.

Educational Technology Quarterly, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Using the e-learning system in teaching and learning is becoming normal Tanzania's higher education. Higher education institutions (HEIs) strive to provide an appropriate environment for instructors students utilise effectively. This study explored students' utilisation of motivational factors that influenced utilisation. The surveyed demographic differences among 730 undergraduate who were randomly sampled from three campuses at a HEI Tanzania. Data analysed through descriptive statistics, independent t-tests one-way ANOVA. findings show significantly motivated by e-learning-supportive environment, lecturers' influences, personal interests. Similarly, highly utilised uploading downloading documents, but online activities could be more utilised. E-learning was found average, further measures should taken enhance use system. Furthermore, no significant difference gender, though it contrary different years study. With influencing utilisation, recommends intensive training on early years.

Language: Английский

Citations

0
Enhancing student acceptance of artificial intelligence-driven hybrid learning in business education: Interaction between self-efficacy, playfulness, emotional engagement, and university support DOI
Shaofeng Wang, Zhuo Sun, Huanhuan Wang

et al.

The International Journal of Management Education, Journal Year: 2025, Volume and Issue: 23(2), P. 101184 - 101184

Published: April 10, 2025

Language: Английский

Citations

0
A Study on a Blended Learning Assessment Model in the Context of the Digital Transformation of Education a Case Study of a “University Computer Fundamentals” Course at Yunnan Normal University DOI
Fei Ren, Juan Chen, Tianyu Xie

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 151 - 161

Published: Jan. 1, 2025

Language: Английский

Citations

0
Uzaktan Eğitim Sisteminin Başarısını Etkileyen Faktörlerin Belirlenmesi DOI
Abdullah Eren

Buca eğitim fakültesi dergisi (Online)/Buca Eğitim Fakültesi dergisi, Journal Year: 2024, Volume and Issue: 59, P. 249 - 272

Published: March 28, 2024

Son yıllarda e öğrenme ve uzaktan eğitim uygulamaları sistemi içerisinde sıklıkla yer almaktadır. Bu anlamda özellikle üniversiteler sistemleri alt yapılarını daha etkin hâle getirmektedirler. Buna karşın bireylerin bu sistemlere karşı tutumları günümüzde hala tartışılmaktadır. Çünkü öğrenen öğretici pozisyonunda bulunan uyum sağlamaları önemlidir. Bununla birlikte sistemini kullanan sistemlerden elde edecekleri performans sistemlerin kabulünde önemli bir tutmaktadır. yüzden edilecek başarı konuda belirleyici olacaktır. doğrultuda sisteminin başarısını etkileyen faktörler araştırmada ele alınmıştır. Teknoloji Kabul Modeli Bilgi Sistemleri Başarı çerçevesinde öğrencilerin ettikleri bireysel kullanma niyetlerini incelenmiştir. Araştırmada bilgi kalitesi, sistem etkileşimi, algılanan eğlence, memnuniyet, kullanım niyetleri değişkenleri Katılımcılardan edilen veriler yapısal eşitlik modellemesi altında değerlendirilmiştir. göre performansı etmede kalitesi yetersiz kalırken diğer yapılar ise olumlu yönde etkili olmuştur.

Citations

1
Exploring music students' resistance to innovation as a moderator in the relationship between e‐learning adoption and academic performance DOI

Xueer Bai

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

Citations

0
The Role of System Quality and Self-Efficacy in E-Learning Users: Exploring the Determinants of Academic Achievement DOI Open Access

Tutut Widyaningrum,

Qomariyatus Sholihah, Bambang Santoso Haryono

et al.

Jurnal Pedagogi dan Pembelajaran, Journal Year: 2024, Volume and Issue: 7(1), P. 78 - 89

Published: May 21, 2024

An e-learning conceptual model is a framework for evaluating the quality of learning systems and outcomes. The results BAN-PT assessment show that values academic non-academic achievement indicators are still low, this indicates there challenges need to be overcome in implementing e-learning. This study aims analyze role system self-efficacy on use user satisfaction affect performance by developing D&M IS Success Model. was an explanatory quantitative survey design with 40 structured questionnaire items sent online. 66 respondents were sampled, taken using purposive sampling method Taro Yamane formula at significance level 10% population undergraduate psychology students 197 students. PLS-SEM used analyzing connection exogenous endogenous variables simultaneously. research findings overall q square value contribution through 95.4% 75%. Self-efficacy has positive significant effect t-statistic 3.761; 2.422 p-values 0.000; 0.016, respectively. User path coefficient 0.588. E-learning evaluation allows measuring success achieving increased achievement.

Language: Английский

Citations

0
The Effect of Digital Literacy, Personal Skills and Learning Habits and Conditions on Self-Evaluated Online Learning Effectiveness Among University Students DOI
Balázs Vaszkun,

Katalin Szakács

Published: Jan. 1, 2024

Language: Английский

Citations

0
Hybrid SEM-ANN model for predicting undergraduates’ e-learning continuance intention based on perceived educational and emotional support DOI Creative Commons
Shanshan Xu, Yangxin Wang, Wenbo Luo

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0308630 - e0308630

Published: Dec. 13, 2024

Based on the Expectation Confirmation Model (ECM), this study explores impact of perceived educational and emotional support university students’ continuance intention to engage in e-learning. Researchers conducted a survey using structured questionnaires among 368 students from three universities Jiangxi Province. They measured their self-reported responses six constructs: support, usefulness, confirmation, satisfaction, intention. The relationships between predictors intention, characterized by non-compensatory non-linear dynamics, were analyzed Structural Equation Modeling combined with Artificial Neural Networks. Apart direct effects usefulness being non-significant, all other hypotheses confirmed. Furthermore, according normalized importance derived multilayer perceptron analysis, satisfaction was identified as most critical predictor (100%), followed confirmation (29.9%), (28.3%), (22.6%), (21.6%). These constructs explained 62.1% total variance This utilized two-stage analytical approach, enhancing depth accuracy data processing expanding methodological scope research technology. findings contribute United Nations’ Sustainable Development Goal 4, which aims ensure inclusive equitable quality education promote lifelong learning opportunities for 2030. It provides direction future different environmental cultural contexts.

Language: Английский

Citations

0