Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education

Education Sciences, Год журнала: 2025, Номер 15(1), С. 68 - 68

Опубликована: Янв. 11, 2025

Artificial intelligence (AI) holds tremendous potential for promoting equity and access to science, technology, engineering, mathematics (STEM) education, particularly students with disabilities. This conceptual review explores how AI can address the barriers faced by this underrepresented group enhancing accessibility supporting STEM practices like critical thinking, inquiry, problem solving, as evidenced tools adaptive learning platforms intelligent tutors. Results show that positively influence student engagement, achievement, motivation in subjects. By aligning Universal Design Learning (UDL) principles, paper highlights personalize learning, improve accessibility, close achievement gaps content areas. Furthermore, natural intersection of principles standards AI4K12 guidelines justifies logical need AI–STEM integration. Ethical concerns, such algorithmic bias (e.g., unequal representation training datasets leading unfair assessments) data privacy risks breaches sensitive data), require attention ensure systems promote rather than exacerbate disparities. The findings suggest while presents a promising avenue creating inclusive environments, further research conducted intentionality is needed refine they meet diverse needs disabilities STEM.

Язык: Английский

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Integration and application of artificial intelligence tools in the Moodle platform: A theoretical exploration

Journal of Educational Technology and Online Learning, Год журнала: 2025, Номер 8(1), С. 100 - 111

Опубликована: Янв. 31, 2025

The integration of artificial intelligence (AI) technologies into Learning Management Systems (LMS) represents a transformative advancement in contemporary education, enhancing personalization, efficiency, and interactivity. This study presents systematic methodology for integrating AI the Moodle LMS. 4.5 was selected as LMS owing to its modular architecture, flexibility, scalability, integrated tools. paper delineates technical pedagogical steps necessary successful process, including installation plug-ins, APIs, customization system, configuration menu. simplifies deployment utilization functionalities, offering an intuitive framework creating dynamic adaptive learning environments. improves student engagement, enables personalized pathways, facilitates data-driven instructional decisions. However, challenges such data privacy concerns, algorithmic biases, infrastructural demands require ethical frameworks, interdisciplinary collaboration, educator training ensure responsible implementation. concludes that platforms like can redefine educational paradigms, fostering inclusive future-ready Recommendations include investments robust infrastructure adoption strategies maximize AI's impact while upholding integrity equity.

Язык: Английский

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Challenges and Opportunities of Educational AI in the Metaverse Era

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Март 12, 2025

The integration of artificial intelligence (AI) into the metaverse presents transformative opportunities and challenges for education. This chapter explores dynamic interplay between AI technologies immersive virtual learning environments, emphasizing their potential to enhance educational experiences. It examines key topics, including use AI-driven avatars personalized instruction, strategies overcome algorithmic biases, importance cultivating literacy among students. Ethical considerations, such as data privacy equitable access, are critically analyzed. Through case studies, highlights practical implementations lessons learned, offering insights educators, researchers, policymakers. Additionally, emerging trends, advancements in reality convergence, discussed provide a forward-looking perspective. concludes by aligning these innovations with sustainable development goals, underscoring need inclusive ethical approaches leveraging transformation.

Язык: Английский

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AI as a Cognitive Partner: A Systematic Review of the Influence of AI on Metacognition and Self-Reflection in Critical Thinking

Опубликована: Март 28, 2025

Educational settings today include Artificial Intelligence (AI) systems that transform student interaction with critical thinking and metacognitive processes. The research assesses AI’s positive negative effects on developing cognitive abilities through systematic analysis review. Contemporary learning tools backed by artificial intelligence provide individualised feedback, automated tutoring, adaptive testing enhances students’ problem-solving skills awareness. Concerns regarding offloading, sloth, algorithmic bias challenge the possible impact of AI independent autonomy. This study synthesises existing to investigate how works as a partner supports ability potential barrier long-term engagement in environments. Evidence shows assistance self-regulation development, but overdependence it results lower decreased thinking. Data privacy issues, access fairness concerns, decision-making biases make necessary for educational institutions control their incorporation technologies carefully. review highlights teaching practices ethical use advocates equitable AI-human collaboration produce compelling experiences. report recommends educators policymakers implement measures ensure applications augment capabilities rather than replace them. Long- term studies must assess resilience they learn strategies. aims construct AI-fortified designs leveraging risks enhance inquiry skills, self-reflection, capabilities.

Язык: Английский

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AI’s role in transforming learning environments: a review of collaborative approaches and innovations

Deleted Journal, Год журнала: 2025, Номер 2(1), С. 265 - 288

Опубликована: Март 27, 2025

Purpose This study aims to examine how artificial intelligence (AI) is transforming education globally by personalizing learning, fostering inclusivity and enhancing human–machine collaboration. It also critically evaluates the ethical, technical policy challenges that must be addressed ensure equitable AI adoption in diverse educational contexts. Design/methodology/approach uses a qualitative research approach, integrating systematic literature review with hybrid thematic-content analysis (HTCA). Through rigorous synthesis of peer-reviewed from 2020 2024, identifies key trends, opportunities AI-driven education, offering multidimensional perspective for educators, policymakers researchers. Findings reveal six critical dimensions AI’s impact education: personalized ethical considerations, collaboration, teacher training, lifelong learning future prospects. ability enhance outcomes evident, yet concerns around algorithmic bias, data privacy digital divide access AI-powered worldwide. Practical implications The integration presents significant personalization, engagement. However, its successful application, educators balance technological tools pedagogical expertise. institutions include: : platforms can adapt student needs, improving providing tailored experiences, particularly students disabilities or underserved regions. Teacher empowerment should seen as an “exoskeleton” augments, rather than replaces, human teaching. By automating administrative tasks, allows focus on creativity thinking. Ethical use Institutions establish guidelines prevent biases algorithms protect students’ privacy, ensuring tool equity division. Social application offers potential solutions address social inequalities pathways accommodate learners, including those different cultural, linguistic socioeconomic backgrounds. could exacerbate existing if not implemented inclusively. technology remain barriers, Societies these disparities investing infrastructure global collaboration benefits all learners. Originality/value provides in-depth, interdisciplinary role reshaping globally. thematic content analysis, it novel insights into risks. underscores urgent need frameworks, inclusive interventions capacity-building initiatives fosters sustainable

Язык: Английский

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Implementing artificial intelligence in academic and administrative processes through responsible strategic leadership in the higher education institutions

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 27, 2025

Artificial Intelligence (AI) has enormous potential to make a transformative impact in multiple fields. It made significant strides Higher Education by reshaping traditional administrative processes, learning, leadership, and teaching. This review explores the substantial of integrating AI Institutions (HEIs), from improving education delivery enhancing student outcomes streamlining processes strategic leadership. By catering diverse learning needs students with help tools that directly affect academics, monitor engagement performance, provide data-driven interventions, offers what HEIs have long been waiting for revolutionize overall landscape. also highlights AI's ability streamline tasks admissions enrolment academic records management system, financial aid scholarships not only facilitates but makes staff faculty members focus less on mundane monotonous tasks, hence concentrating more responsibilities initiatives require focused attention. We identified key unlocking is responsible Strategic leadership requires aligning integration goals mission HEIs, fostering an environment ready embrace innovation ensuring required accountability governance frameworks are place usage. role consider ethical considerations, collaborations relevant stakeholders, concerns about job displacement, biases, used its full benefit faculty, staff, students, society. conclude paper AI-driven future implications, i.e., emerging technologies, continuous enhancement AI-based enhanced research accomplishments.

Язык: Английский

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The Study on Ethics and Biases in AI-Powered Education

European Journal of Contemporary Education and E-Learning, Год журнала: 2025, Номер 3(2), С. 37 - 43

Опубликована: Март 1, 2025

Artificial Intelligence (AI) is transforming education by tailoring learning experiences, streamlining administrative tasks, and increasing student engagement. AI-powered platforms are developing personalised plans, automating grading processes improving accessibility, making more effective inclusive. However, these innovations also pose ethical challenges, such as privacy concerns, the need for transparency in algorithms, potential biases AI systems. If left unaddressed, AI-assisted could increase inequalities, misrepresent students' abilities, compromise fairness of outcomes. This research explores implications education, identifying sources bias evaluating strategies to promote inclusivity. It highlights frameworks, algorithmic choices, ongoing monitoring reduce bias. The study future opportunities AI-driven including adaptive environments improved accessibility tools. By balancing technological advancement with considerations, can become a powerful catalyst change while maintaining fairness, equity accountability.

Язык: Английский

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Lecturer’s Perspective on the Role of AI in Personalized Learning: Benefits, Challenges, and Ethical Considerations in Higher Education

Journal of Academic Ethics, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Язык: Английский

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Navigating the Grey Area: Students' Ethical Dilemmas in Using AI Tools for Coding Assignments

IJIE (Indonesian Journal of Informatics Education), Год журнала: 2024, Номер 8(1), С. 15 - 15

Опубликована: Авг. 14, 2024

<div align="center"><table width="100%" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="605"><p>Integrating artificial intelligence (AI) in higher education, particularly coding assignments for Information Technology (IT) students, represents a rapidly evolving research area with significant implications academic practices and integrity. This study focuses on the ethical challenges faced by IT students when using AI tools like ChatGPT assignments. Despite growing use of there is notable gap understanding how perceive navigate dilemmas associated these technologies. To address this gap, employed thematic analysis qualitative data collected from interviews students. The results reveal complex landscape considerations, including issues originality, integrity, potential misuse tools. Students reported balancing benefits assistance need to maintain independent learning adhere standards. are educators, institutions, policymakers. Understanding face can inform development more effective teaching strategies, assessment methods, institutional policies. contributes ongoing dialogue about ethics academia, providing valuable insights creating an educational environment that leverages power while upholding principles integrity meaningful learning.</p></td></tr></tbody></table></div>

Язык: Английский

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The Ethical Implications of AI in Education: Privacy, Bias, and Accountability

Journal of Informatics Education and Research, Год журнала: 2024, Номер 4(2)

Опубликована: Дек. 10, 2024

As artificial intelligence (AI) technologies become more prevalent in education, their influence on privacy, fairness, and responsibility is under increasing scrutiny. This paper investigates the ethical implications of AI educational settings, specifically examining concerns about student potential biases embedded systems, accountability structures necessary to manage responsibly. The advocates for proactive policies practices that prioritize standards, thereby ensuring serves as a tool equity improved learning outcomes rather than one exacerbates existing inequalities.

Язык: Английский

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