AI Education and AI Literacy

Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Su, Maggie Jiahong; Yim, Iris Heung Yue; Qiao, Maggie Shen; Chu, Samuel Kai Wah

doi:10.1007/978-3-031-18880-0_2

Cited by 6 publications

(5 citation statements)

References 43 publications

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“…Additionally, there is a call for the establishment of interdisciplinary research centres and hubs for innovation. These facilities would unite specialists from the fields of computer science, education, psychology, and others www.ejel.org 29 ISSN 1479-4403 to examine the enduring effects of these technologies on learning processes, cognitive development, and societal interactions (Ng et al, 2022;UNESCO., 2023a).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the widespread adoption of Generative-AI in education may provoke existing inequalities and create new forms of digital divide, as learners from disadvantaged backgrounds may lack the access, skills, and support needed to leverage these technologies for their learning. These challenges will a concerted effort from all stakeholders, including educators, technology developers, civil society organisations and the governments to ensure an equitable access to Generative-AI in education and that no student is left behind (Ng et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

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Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance

Kanont,

Pingmuang,

Simasathien

et al. 2024

EJEL

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This study investigates the factors influencing the adoption of Generative-AI tools amongst Thai university students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 911 higher education students from 10 different Thai Universities Health Sciences, Sciences and Technology, Social Sciences and Humanities, and Vocational Fields were analysed via Structural Equation Modelling (SEM). The instrument used in collecting the data was a questionnaire. Results indicated that Expected Benefits, Perceived Usefulness, Attitude Toward Technology, and Behavioural Intention all significantly impacted student adoption of Generative AI. Intriguingly, Perceived Ease of Use was negatively correlated with Perceived Usefulness, challenging conventional TAM assumptions. This study underscores the need to address language barriers, foster a culture of innovation, and establish ethical guidelines to promote responsible AI use within education. Despite inherent limitations, this research contributes to our understanding of AI adoption in educational settings and helps inform strategies for equitable access and responsible innovation. The result demonstrated that the easier a tool was to use, the less value leaners seemed to see in it for their learning process. It can be implied that as Generative-AI get more intuitive, learners think they're less helpful. These finding challenges a few of those assumptions we usually make within the TAM model. It also points out the characteristic of learners which affects their learning preferences and expectation. Another finding showed the impact of language barrier on non-native English speaker that obstruct the user experience in AI services. Moreover, the role of universities in fostering both AI integration for learning for and the ethical implementation of Generative AI. By providing a supportive environment that encourages AI experimentation, redesign learning, empowering learners and faculty instructors to investigate how Generative AI can be applied across disciplines, and developing guidelines for ethical use, universities play a critical role in shaping the effective and responsible integration of AI into the next educational landscape.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance

Kanont,

Pingmuang,

Simasathien

et al. 2024

EJEL

View full text Add to dashboard Cite

show abstract

“…Artificial intelligence (AI) is a fact of everyday life in our modern high-tech societies. It has become a buzzword in the twenty-first century and has numerous implications for daily life (Ng et al, (2022). Researchers have claimed several definitions of AI, and each has been revised over time.…”

Section: The Nature Of Artificial Intelligencementioning

confidence: 99%

The domino effect of artificial intelligence on students' scientific writing quality

Pratiwi,

Arifin,

Sultan

et al. 2023

Multidiscip. Rev.

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The Indonesian government is pushing for increased publications with the argument that the benchmark for the productivity of an educational institution is seen from scientific publication data that researchers and research organizing institutions must disseminate. The educational strata level is needed to disseminate the scientific work of students through various media that interested parties can access. Educational tools related to research and publications can be used free of charge or paid to make it easier to produce work. To determine the domino effect of using Artificial Intelligence of Writing Academic (AIWA) on final semester students' scientific work quality, this study used a survey method with the research sample being Masters students who were carrying out and completing writing scientific papers as a fulfillment of graduation requirements with a total of 30 respondents. The sample respondents' criteria were that they could share their experiences in writing their scientific papers. The findings of this assessment proved that the domino effect for completing assignments and making scientific work students utilized and advised colleagues to use it with the assumption of efficiency and effectiveness so that tasks given by lecturers were assisted in their work by AI.

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“…Based on the findings, the research became a basis for a competency and design framework to lay the foundation for future references (Long et al, 2020). However, Ng et al (2022) mentioned that schools began to use AI-enabled technologies to help students' personalized learning and decrease teachers' administrative work. This step proves to be the turning point of AI utilization in the educational system.…”

Section: Introductionmentioning

confidence: 99%

Predictors of student attitudes towards artificial intelligence: Implications and relevance to the higher education institutions

Asio,

Gadia

2024

IJODS

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AI Education and AI Literacy

Cited by 6 publications

References 43 publications

Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance

Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance

The domino effect of artificial intelligence on students' scientific writing quality

Predictors of student attitudes towards artificial intelligence: Implications and relevance to the higher education institutions

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