ArticleHeliyon2022
SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Incubator mediated university industry collaboration drives entrepreneurship in Iranian agricultural universities.Scientific reports · 2026Article
- Generation Z usage of Instagram for TV: investigating media consumption, user interaction patterns, and mental health outcomes.Frontiers in public health · 2026Article
- Intention to use artificial intelligence among SME account executives.Frontiers in artificial intelligence · 2026Article
- Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study.JMIR human factors · 2025Article
- Comparing educational and dissemination videos in a STEM YouTube channel: A six-year data analysis.Heliyon · 2024Article
- Article
- A Holistic Investigation of the Relationship between Digital Addiction and Academic Achievement among Students.European journal of investigation in health, psychology and education · 2023Review
- Digital Students' Satisfaction With and Intention to Use Online Teaching Modes, Role of Big Five Personality Traits.Frontiers in psychology · 2022Article
- Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.PloS one · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jordanian university students' behavioral intention regarding eLearning acceptance, in Jordan. According to the evaluation of both ANN and IPMA, performance expectancy was the most important and, theoretically, several explanations were provided by the suggested model regarding the impact of intention to adopt eLearning from Internet service determinants at a personal level. The findings coincide greatly with prior research indicating that users' behavioral intention to adopt eLearning is significantly affected by their performance expectancy and effort expectancy. The paper contributed to technology adoption e.g., YouTube in academia, especially in Jordan. Respondents showed a willingness to employ and adopt the new technology in their education. Finally, the findings were presented and discussed through the UTAUT and TAM frameworks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.