A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

International Journal of Educational Technology in Higher Education, Год журнала: 2024, Номер 21(1)

Опубликована: Янв. 19, 2024

Abstract Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as research domain, never before rapid evolution AI applications education sparked such prominent public discourse. Given already rapidly growing AIEd literature base higher education, now is time to ensure that solid and conceptual grounding. This review reviews first comprehensive meta explore scope nature (AIHEd) research, by synthesising secondary (e.g., systematic reviews), indexed Web Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect ACM Digital Library, or captured through snowballing OpenAlex, ResearchGate Google Scholar. Reviews were included if they synthesised solely formal continuing published English between 2018 July 2023, journal articles full conference papers, had method section 66 publications for data extraction synthesis EPPI Reviewer, which predominantly (66.7%), authors from North America (27.3%), conducted teams (89.4%) mostly domestic-only collaborations (71.2%). Findings show these focused on AIHEd generally (47.0%) Profiling Prediction (28.8%) thematic foci, however key findings indicated predominance use Adaptive Systems Personalisation education. Research gaps identified suggest need greater ethical, methodological, contextual considerations within future alongside interdisciplinary approaches application. Suggestions are provided guide primary research.

Язык: Английский

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Gen-AI integration in higher education: Predicting intentions using SEM-ANN approach

Education and Information Technologies, Год журнала: 2024, Номер 29(13), С. 17169 - 17209

Опубликована: Фев. 21, 2024

Язык: Английский

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Examining Students’ Acceptance and Use of ChatGPT in Saudi Arabian Higher Education

European Journal of Investigation in Health Psychology and Education, Год журнала: 2024, Номер 14(3), С. 709 - 721

Опубликована: Март 17, 2024

This study examines students’ acceptance and use of ChatGPT in Saudi Arabian (SA) higher education, where there is growing interest the this tool since its inauguration 2022. Quantitative research data, through a self-reporting survey drawing on “Unified Theory Acceptance Use Technology” (UTAUT2), were collected from 520 students one public universities SA at start first semester year 2023–2024. The findings structural equation modeling partially supported UTAUT previous relation to significant direct effect performance expectancy (PE), social influence (SI), effort (EE) behavioral intention (BI) PE, SI, BI actual ChatGPT. Nonetheless, results did not support earlier relationship between facilitating conditions (FCs) both ChatGPT, which was found be negative insignificant second one. These because absence resources, support, aid external sources showed partial mediation link FC education full EE education. provide numerous implications for scholars institutions SA, are also other similar contexts.

Язык: Английский

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Antecedents of Generative Artificial Intelligence Technology Adoption: Extended Innovation of Diffusion Model with Cultural Dimensions and Risks Perceptions

Journal of Ecohumanism, Год журнала: 2025, Номер 4(1)

Опубликована: Янв. 21, 2025

As Artificial Intelligence (AI) technologies are taking the lead among technological advancements around world, societies increasingly becoming interwoven with Generative AI (GAI) in all aspects, including higher education (HE). This study’s main aim is to examine how individual-level cultural dimensions influence students’ adoption of GAI learning, drawing on an extended Innovation Diffusion Theory (IDT) model. It explores impact (individualism/collectivism and uncertainty avoidance), IDT innovation factors (relative advantage, complexity, compatibility, observability, trialability), individual (self-efficacy, perceived risk) Saudi perceptions across several universities. Quantitative data were collected from 306 online survey analyzed using CB-SEM. Results highlight instrumental role dimensions, individualism/collectivism avoidance negatively affecting adoption. While complexity showed no significant impact, other variables positively influenced Furthermore, self-efficacy risk found be indicators use. The study emphasizes differences that shape technology collectivist moving toward individualism such as Saudi. identifies limitations, provides useful insights, suggests recommendations for future research uptake culturally diverse HE contexts.

Язык: Английский

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Understanding the Factors Influencing Higher Education Students’ Intention to Adopt Artificial Intelligence-Based Robots

IEEE Access, Год журнала: 2023, Номер 11, С. 99752 - 99764

Опубликована: Янв. 1, 2023

Although there has been some progress, the integration of artificial intelligence into higher education remains far from sufficient. The demand for teachers will persist time; however, with introduction AI-based robots classrooms, role reduced to a minimum. purpose current study was evaluate Chinese students' intentions adopt educational purposes. Based on TAM3 model, proposes 14 hypotheses intention in education. data were collected and analyzed using PLS-SEM. findings revealed that 12 accepted two rejected. results indicate students are willing accept their However, an insignificant influence job relevance robot anxiety perceived usefulness ease use, respectively. this provide insight university administrations regarding significance Moreover, help developers, policy makers, administrators design implement fulfill contemporary needs.

Язык: Английский

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The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework

Sustainability, Год журнала: 2023, Номер 15(18), С. 13725 - 13725

Опубликована: Сен. 15, 2023

Artificial Intelligence (AI) has proliferated in the last few years due to vast data we pro-duce daily and available computing power. AI can be applied many different sectors, such as transportation, education, healthcare, banking, finance, among others. The financial industry is rapidly embracing its potential for high-cost savings services. could transform sector by creating opportunities tailored, faster, more cost-effective Saudi Arabia emerging a fast-growing market this with strong commitment technology-driven institutions. While gaining prominence receiving government support, it not yet become critical component enhancing efficiency of transactions. Limited published research on adoption Arabian calls comprehensive literature review examine current state implementation sector. Therefore, study explores benefits, limitations, challenges leveraging highlighting importance ethical regulatory considerations successful This study’s findings reveal that been conducted how improves processes integrating components efficient algorithms tailored industry’s needs. Based these findings, proposes sequential framework at macro micro levels management guide AI’s development integration into Additionally, draws insights from existing provide detailed understanding opportunities, challenges, areas improvement maximize

Язык: Английский

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A review of AI-driven pedagogical strategies for equitable access to science education

Magna Scientia Advanced Research and Reviews, Год журнала: 2024, Номер 10(2), С. 044 - 054

Опубликована: Март 13, 2024

Access to quality science education is essential for equitable development and advancement in society. However, disparities access persist, particularly among marginalized underserved populations. Artificial intelligence (AI) offers innovative solutions address these by enhancing pedagogical strategies that promote education. This review examines AI-driven aimed at improving The explores how AI technologies, such as machine learning, natural language processing, computer vision, can be leveraged personalize learning experiences, provide real-time feedback, enhance engagement students from diverse backgrounds.AI-driven personalized platforms adapt individual styles pace, ensuring each student receives tailored instruction. These also additional support facing challenges, thus promoting inclusivity equity Furthermore, assessment tools educators with insights into performance comprehension, enabling them identify areas improvement targeted interventions. Additionally, facilitate collaborative environments, allowing work together irrespective of their physical location, breaking down geographical barriers access. the implementation raises ethical considerations, data privacy algorithmic bias, which must carefully addressed ensure all students. In conclusion, have potential revolutionize providing fostering inclusive environments. careful consideration given implications technologies are used responsibly equitably.

Язык: Английский

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Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices

World Journal of Advanced Engineering Technology and Sciences, Год журнала: 2024, Номер 11(2), С. 069 - 079

Опубликована: Март 13, 2024

Artificial intelligence (AI) is revolutionizing the field of education, offering new opportunities to enhance learning experiences and promote inclusive educational practices. This review explores impact AI on teaching methodologies its role in creating environments. By examining current research practices, this highlights potential address diverse needs equity education.The begins by discussing personalized learning, where algorithms analyze student data provide tailored instruction feedback. approach allows educators cater individual styles preferences, ensuring that all students have access high-quality education. Additionally, AI-driven adaptive systems can identify gaps, providing targeted interventions support who may be struggling. Furthermore, use facilitating collaborative environments, work together projects tasks. technologies collaboration tools for communication, coordination, knowledge sharing. promotes inclusivity allowing contribute their unique perspectives skills group projects. The also discusses promoting accessibility with disabilities. AI-powered assistive additional accommodations, disabilities fully participate activities. captioning translation improve are deaf or hard hearing, as well those speak languages other than primary language instruction. Overall, transformative education ability leveraging technologies, create more personalized, collaborative, accessible opportunity succeed.

Язык: Английский

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The Impact of Artificial Intelligence (AI) on the Accounting System of Saudi Companies

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, Год журнала: 2024, Номер 21, С. 499 - 511

Опубликована: Янв. 5, 2024

As a major player in the world market, Saudi Arabia has seen substantial adoption of artificial intelligence AI) technology its commercial environment. This study intends to thoroughly examine specific effects AI on business accounting systems. paper offers comprehensive knowledge consequences application sector through thorough examination body existing literature. It examines how traditional methods are affected by AI-driven automation, data analysis, and decision-making processes Arabian The viewpoints experiences first-hand participants integrating into enterprises’ systems provided this survey distributed important stakeholders, such as professionals, specialists, leaders. also emphasizes incorporating procedures may affect workforce dynamics, skill needs, organizational structure whole. One most significant research findings is ability process enormous volumes quickly accurately, allowing for improved financial risk assessment, forecasting. facilitates wiser more strategic decisions. simplified decreased need human labor, saving enterprises money. result, resource allocation was optimized overall performance enhanced.

Язык: Английский

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Determinants of Students’ Satisfaction with AI Tools in Education: A PLS-SEM-ANN Approach

Sustainability, Год журнала: 2024, Номер 16(13), С. 5354 - 5354

Опубликована: Июнь 24, 2024

The emergence of Artificial Intelligence (AI) technology has significantly disrupted the educational landscape. latest development in AI, generative AI that can generate new and tailored to specific content, impacted education. Given value general users education, such as students, adaptability these technologies increased. However, continuing productive usage tools depends upon students’ satisfaction with tools. Drawing from existing research, present research developed factors affect collected data using a survey questionnaire Saudi Arabian university. two-stage method partial least squares structural equation modeling (PLS-SEM) artificial neural network (ANN) have been employed. is applied way PLS-SEM used for testing hypothesis significance factor’s influence on satisfaction, ANN determine relevant importance factor. results shown content quality, emotional wellbeing perceived utility student show most critical factor followed equally by quality utility.

Язык: Английский

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