Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(14), P. 18695 - 18744

Published: March 14, 2024

Language: Английский

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Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach

Electronics, Journal Year: 2022, Volume and Issue: 11(13), P. 1924 - 1924

Published: June 21, 2022

Micro-lectures, i.e., short learning videos on a specific aspect of topic, have become one the most effective technology-based media approaches and were widely used during COVID-19 pandemic. However, in post-pandemic era starting from early 2022, as K-12 students been allowed to resume going school, it is necessary evaluate students’ intentions continuously use micro-lectures for mathematics. Therefore, this study aims explore attitudes continuous towards utilization micro-lectures. To investigate using micro-lectures, we utilized unified theory acceptance technology (UTAUT-2). Data collected 321 junior high school (14–17 years old) Bandung, Indonesia, who online classes learn mathematics A structural equation model was also analyze independent (performance expectancy, effort social influence, facilitating condition, hedonic motivation, habit) dependent (attitude intention) variables. Furthermore, questionnaires obtain data intention utilize post-COVID-19 era. The results suggested that expectancy (EE) motivation (HM) had significant effect attitudes, whose correlation with habit influenced period. Despite these results, variable found be factor influencing intention. These provide information teachers, schools, government increase based improving student performances

Language: Английский

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Predicting Factors Influencing Preservice Teachers’ Behavior Intention in the Implementation of STEM Education Using Partial Least Squares Approach

Sustainability, Journal Year: 2022, Volume and Issue: 14(16), P. 9925 - 9925

Published: Aug. 11, 2022

The integration of STEM education has been promoted to improve the quality in 21st century, with its usage leading emphasis on factors influencing intentions preservice teachers. Therefore, this study aims determine teachers’ intentions, as well effects gender and age implementation education. Theory Planned Behavior (TPB) was adopted predict relationship between knowledge, social influence, attitude, perceived usefulness, control, behavioral intention (BI) using among secondary school A total 30 item questionnaires were distributed 201 respondents, data being analyzed Structural Equation Model (SEM). results showed that usefulness had a positive significance, attitudes teachers toward Habit significance implementation. Subjective norms did not have significant correlation BI These are recommended for providing solutions analytical problems, successfully future learning through an educational approach.

Language: Английский

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Enhancing Human–Computer Interaction in Online Education: A Machine Learning Approach to Predicting Student Emotion and Satisfaction

International Journal of Human-Computer Interaction, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 17

Published: Dec. 19, 2023

Maintaining student engagement is pivotal in the rapidly evolving landscape of online education. The factors that affect and predict students' satisfaction during learning are poorly understood. Our study addresses this issue by employing machine (ML) models to emotions satisfaction. ML focuses on small structured data do not require complexity deep neural networks. We created an classification model trained with from survey seven constructs. narrowed down critical features 55 7 36 for emotion prediction, respectively, using backward feature selection (BFS) method. artificial network (ANN) random forest (RF) outperformed other classifiers, showing 81% 65.3% accuracy respectively. findings suggest predicting responding satisfaction, we can optimize experience, providing personalized educational trajectories align each student's unique needs.

Language: Английский

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Predictors Influencing Urban and Rural Area students to Use Tablet Computers as Learning Tools: Combination of UTAUT and TTF Models

Sustainability, Journal Year: 2022, Volume and Issue: 14(21), P. 13965 - 13965

Published: Oct. 27, 2022

University students use various ICT-based media a goal to help them learn. The Chinese government is also increasing the of ICT tools in education sector because they relate university students’ learning outcomes. Several universities China provide tablet computer facilities as for their students. These are widely used country have many benefits educational settings. For instance, paperless, practical, and portable support sustainable education. Although tablets benefits, not necessarily accepted by Knowing factors influencing intention tool increases effective utilization college Therefore, this study aimed determine predicted actual usage computers urban rural areas. It combined TTF model Unified Theory Acceptance Use Technology 2 (UTAUT-2). sample comprised 232 214 Data were analyzed using partial least squares statistical technique examine structural test initial hypothesis. results showed that village influenced hedonic motivation task technology fit. In contrast, habit fit most significant factor areas tools.

Language: Английский

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Reviewing ADANCO 2.3.1 for a Modern Partial Least Squares Structural Equation Model to be Used in Online Education During the COVID-19 Pandemic

Asia Social Issues, Journal Year: 2023, Volume and Issue: 16(4), P. e255152 - e255152

Published: March 17, 2023

The current study employed a composite model to examine the factors affecting student satisfaction with online education (OE) and relationship between it life quality during COVID-19 pandemic. Additionally, research reviewed ADANCO 2.3.1 software for analysis. A sample of 257 management science students from anonymous Rajabhat University was used this study. findings indicate that only output setup had significant concerning OE. OE found be significant. extremely useful doing confirmatory analysis (CCA) in modern partial least squares structural equation models (PLS-SEM). It also helpful tool transforming latent observable variables into emergent ones CCA research. This successfully resolved standard bias method resulting better outcome.

Language: Английский

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Teaching English online in higher education: Understanding the social climate of online academic English courses

Australasian Journal of Educational Technology, Journal Year: 2022, Volume and Issue: unknown, P. 91 - 106

Published: Nov. 26, 2022

This study examined the social climate of fully synchronous online English classrooms and its effects on students’ learning outcomes in a mixed-methods design, engaging 196 first-year non-English major students experiencing their first classes Zoom one academic term (12 weeks), taught by foreign lecturers. The results reveal very positive experience with seven factors contributing to classrooms. Gender did not affect perceptions experiences, but proficiency levels did, medium effect size. was predictor substantial Individual insights were extracted from qualitative data. Implications for practice or policy: Online courses should provide same quality as face-to-face environment enhancing constructing classroom climate. Educational policymakers emphasise building climates it will lead both better experiences. Teachers may be encouraged develop skills need recognise manage emotions, establish maintain relationships achieve goals learning.

Language: Английский

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Art students’ interaction and engagement: the mediating roles of collaborative learning and actual use of Social Media affect academic performance

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 28(11), P. 14423 - 14451

Published: April 11, 2023

Language: Английский

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Role of Social Networks to Improve Satisfaction and Performance of University Students

Published: Nov. 21, 2023

The use of technology is increasing rapidly in every sector human life. Its importance evident the field education as well. Therefore, purpose this research to examine effect social networks, influence, and perceived teacher support on academic performance through satisfaction. present was quantitative cross-sectional. data collected from students at universities UAE a self-administered questionnaire. gathered analyzed using SPSS Smart PLS. findings confirm that network, have positive student online Moreover, satisfaction has significant impact results also supported mediating This study discussed theoretical practical implications detail. These are important for strategists higher sector.

Language: Английский

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Non-Academic Factors Analysis Impacting Students’ Online Learning During the COVID-19 Pandemic in Universitas Logistic and Bisnis Internasional

Published: Dec. 15, 2022

In education, online learning with an e-learning system is irreplaceable need. Many argue that the current educational crisis. Several studies show how complicated handling of COVID-19 for universities is, especially in (e-learning) outcomes. The variables influencing during epidemic have been shown numerous studies. However, influence several other factors still needs to be investigated. Therefore, this study aims determine non-academic affect pandemic. With data collected from International University Logistics and Business (ULBI), uses Cronbach’s-Alpha analysis, Bayesian Exploratory Factor Analysis (BEFA), Principal Component (PCA), Multivariate Regression Analysis. evaluation research scale shows 20 observed variables. test results prove three students’ outcomes pandemic: education cost policy (H1), communication quality (H2), student support (H3). Each factor has p – value < 0.001, = 0.029, 0.004, respectively. Meanwhile, family circumstances do not pandemic (H4 rejected) because p-value 0.152. An example case questionnaire most students say income can adapt changes

Language: Английский

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