The Influence of YouTube Videos on the Learning Experience of Disabled People During the COVID-19 Outbreak

Tahat, Khalaf; Al-Sarayrah, Walaa; Salloum, Said A.; Habes, Mohammed; Ali, Sana

doi:10.1007/978-3-030-77302-1_13

Cited by 24 publications

(19 citation statements)

References 40 publications

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“…The data analysis of the current study involved partial least squares-structural equation modeling (PLS-SEM) through SmartPLS V 3.2.7 [41,42]. The data were collected using a two-step assessment approach.…”

Section: Discussionmentioning

confidence: 99%

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

et al. 2022

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Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the different services it offers. This study aims to investigate users’ experiences with AIA for governmental purposes in the Gulf area. The conceptual model comprises the adoption properties (namely trialability, observability, compatibility, and complexity), relative advantage, ease of doing business, and technology export. The novelty of the paper lies in its conceptual model that correlates with both personal characteristics and technology-based features. The results show that the variables of diffusion theory have a positive impact on the two variables of ease of doing business and technology export. The practical implications of the current study are significant. We urge the concerned authorities in the governmental sector to understand the significance of each factor and encourage them to make plans, according to the order of significance of the factors. The managerial implications provide insights into the implementation of AIA in governmental systems to enhance the development of the services they offer and to facilitate their use by all users.

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Section: Discussionmentioning

confidence: 99%

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

et al. 2022

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“…There were no other selection criteria, as people having LMS accounts were the focus of the study. Consequently, using random sampling also nullified the researchers' own bias (Tahat et al, 2022b).…”

Section: Sampling Approachmentioning

confidence: 99%

Artificial Intelligence in Learning Management System: A Case Study of the Students of Mass Communication

Ali

Yousaf

Behlol

2023

Voyage Journal of Educational Sciences

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Artificial Intelligence (AI) in learning and education is not new. However, the rise of the Covid-19 pandemic led to a focus on its role in Learning Management Systems (LMS). This study also examined the role of AI in the LMS with features including Natural Language Processing and Reasoning. The researchers used a self-proposed model and gathered data from the mass communication students in two public sector universities in Pakistan. Results revealed that Artificial Intelligence is integral to Learning Management Systems (LMS) in the selected institutions. Further, the effect of Natural Language Processing (NLP) on Reasoning indicated these two factors as interlinked, improving the quality of LMS. Additionally, Natural Language Processing significantly mediated the effect of AI on the LMS, showing that language processing facilitates LMS usage among students. Finally, the results also indicated the significant mediation effect of Reasoning on the relationship s between AI and the LMS. Overall, the results also remained supported towards the incorporation of Artificial Intelligence (AI) along with Natural Language Processing (NLP) and Reasoning in Learning Management Systems (LMS). The researchers conclude that AI in Learning Management Systems is widely applied in Pakistani institutions. The young students also acknowledge the benefits of AI-enabled LMS that have enhanced their learning experiences and provided them with logical solutions and answers to their complex queries. Further, the study limitations are discussed and highlighted accordingly.

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“…From an educational and sustainable point of view, Tahat et al (2021) highlight that YouTube can favour the teaching of students with educational needs, thereby achieving a greater inclusion in the educational process, as well as the reuse of available digital digital competences on YouTube, behavioural intention, and the system of relationships between factors.…”

Section: Introductionmentioning

confidence: 99%

Teaching digital competence in the use of YouTube and its incidental factors: Development of an instrument based on the UTAUT model from a higher order PLS‐SEM approach

Guillén‐Gámez

Magaña

Palmero

et al. 2023

Brit J Educational Tech

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The increasing use of digital resources has changed the way of teaching, where platforms such as YouTube offer large repositories of educational videos. There are many theoretical studies that analyse the digital competences of teachers, but to a lesser extent on the behaviours and use that the teacher makes of this multimedia platform. Thus, the purpose of this study is the development of an instrument in which it is analysed how the behavioural intention of teachers on YouTube impacts their digital competence to search and select information, share information, and interact with other users of the platform, and create educational material. To achieve this, following the partial least squares (PLS) method of structural equation models, a higher‐order causal model was proposed based on an adaptation and extension of the Unified Theory of Acceptance and Use of Technology (UTAUT). The study was carried out with a sample of 2157 teachers from all over Spain. The main result was that behavioural intention explained 22.70% of the true variance of teachers' digital competence. In addition, it has been possible to verify the reliability, convergent and discriminant validity of the established causal relationships, determining a model with acceptable goodness‐of‐fit. These findings show that it is a valid and reliable instrument to measure teachers' digital competences on YouTube, behavioural intention, and the system of relationships between factors. Practitioner notesWhat is already known about this topic Teachers can use YouTube to search and create creative and innovative educational lessons. The teacher must have adequate digital competence to search, select, evaluate, and effectively use the content of this platform in the classroom. The four central predictors of the UTAUT model (Unified Theory of Acceptance and Use of Technology) allow to explain and predict the adoption and use of ICT in different contexts. What this paper adds The elaboration of an instrument on the digital competences of the teacher on the use of YouTube as a didactic resource, based on an extended model of UTAUT. Identification of the factors with the greatest incidence on the behavioral intention of the teacher to use YouTube as an educational resource. Identification of how the behavioral intention and the ease of the conditions determine the use of YouTube by teachers to search for educational content, share it or create it by themselves. Implications for practice and/or policy Extensive information on the factors that teachers should pay attention to improve their behavioral intention to use YouTube as a teaching resource. The need to promote improvement policies on technological and digital conditions which will affect the digital competence of the teacher for the usability of YouTube as a more visual, verbal, and interactive educational process. Educational institutions should better prepare teachers for their role as innovative teachers, providing them with adequate digital skills in relation to the use of YouTube as a teaching resource.

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The Influence of YouTube Videos on the Learning Experience of Disabled People During the COVID-19 Outbreak

Cited by 24 publications

References 40 publications

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

Artificial Intelligence in Learning Management System: A Case Study of the Students of Mass Communication

Teaching digital competence in the use of YouTube and its incidental factors: Development of an instrument based on the UTAUT model from a higher order PLS‐SEM approach

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