Integrating AI in education: Opportunities, challenges, and ethical considerations

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 006 - 013

Published: March 7, 2024

Integrating Artificial Intelligence (AI) in education presents a promising frontier with manifold opportunities, yet it also poses significant challenges and necessitates ethical considerations. This review explores the multifaceted landscape of AI integration education, highlighting its potential to revolutionize traditional pedagogical approaches, personalize learning experiences, streamline administrative tasks. However, addresses pertaining implementation, including issues related accessibility, data privacy, digital divide. The opportunities afforded by are vast transformative. AI-driven technologies have capacity adapt instruction individual styles, thereby enhancing student engagement academic outcomes. Additionally, AI-powered tools can automate tasks, allowing educators allocate more time meaningful interactions students. Moreover, holds promise facilitating creation immersive environments through virtual reality augmented applications, enriching educational experience. Nevertheless, considerations that warrant careful examination. Concerns regarding privacy security arise as institutions collect analyze amounts data. there apprehensions about for algorithms perpetuate biases or reinforce inequalities if not implemented conscientious oversight. Furthermore, questions surrounding use assessing performance making consequential decisions underscore importance establishing transparent accountable practices. While offers unprecedented innovation improvement, is imperative navigate associated diligence foresight. By addressing these thoughtfully, stakeholders harness full cultivate equitable, inclusive, effective environments.

Language: Английский

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Student self-reflection as a tool for managing GenAI use in large class assessment

Discover Education, Journal Year: 2025, Volume and Issue: 4(1)

Published: March 26, 2025

Written assignments for large classes pose a far more significant challenge in the age of GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students class. Therefore, we conducted study South Africa involved 280 Honors to explore usefulness Turnitin's AI detector conjunction student self-reflection. Using Mixed Methods Research (MMR) approach, analysed data generated from Turnitin reports, our grading rubrics, qualitative The findings show that incorporating self-reflection into supports ethical use improves transparency lecturers need decision-making. A declaration form allowed be upfront about using Generative Artificial Intelligence tools. We found who can reflect on their learning relied less content. However, high detected scores (> 20%) did adequately how tools supported could give credible explanations use. contribute body knowledge by providing academics examples responsibly handling AI-detected large-class settings. present guided an support help make decisions when grading. also decision tree graders evaluating assessments.

Language: Английский

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Factors Influencing AI-Assisted Thesis Writing in University: A Pull-Push-Mooring Theory Narrative Inquiry Study

Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 203 - 203

Published: Feb. 10, 2025

This study aims to examine the factors that motivate, attract, and anchor students adopt AI tools during writing process in context of push-pull-mooring (PPM) theory. Utilizing a narrative inquiry research approach, this employed observation, in-depth interviews, document analysis for data collection. The identified key through reflexive thematic methods. Key pull include generation credit authorship contributions integration into academic writing. encompass topic selection, dynamic literature review, questions, proposal conceptualization, designing methods, analysis, revising drafts, managing references. incorporates active learning, self-regulated learning (SRL), inquiry-based overcoming linguistic challenges. push reference inaccuracies, confidentiality research, overreliance on AI. Three anchoring principles guide ethical incorporation thesis writing: institutional policies, augmentation, comprehensive contextual approach. But study's limitations small sample size ten from single university, which affects generalizability results.

Language: 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, Journal Year: 2025, Volume and Issue: 10

Published: Feb. 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.

Language: Английский

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Ethical Integration of Generative AI in Higher Education Assessments

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 275 - 288

Published: March 13, 2025

This chapter explores the transformative role of Generative AI in higher education assessments, emphasizing its capacity for delivering personalized feedback and adaptive learning experiences. While GenAI offers significant advantages, such as gains efficiency real-time feedback, ethical concerns arise from fairness, bias, data privacy, transparency. In UAE context, underlines how strategically aligns with national goals to foster a knowledge-based economy. will elaborate on UAE's Vision 2021 National Agenda 2030 about automation assessment students encompassed by GenAI. Additionally, challenges around security algorithmic biases should be critically reviewed, recommendations given accountable, transparent, non-discriminatory AI-driven systems. provides concrete ensure that integration supports inclusive while protecting rights furthering institutional through effective stakeholder engagement, policy development, ongoing oversight.

Language: Английский

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Bridging the Gap: ChatGPT’s Role in Enhancing STEM Education

Open Praxis, Journal Year: 2025, Volume and Issue: 17(1), P. 108 - 128

Published: Jan. 1, 2025

Language: Английский

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Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training

BMC Medical Education, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 28, 2024

Language: Английский

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Evolving Landscape Of E-Commerce, Marketing, and Customer Service: the Impact of Ai Integration

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(3s), P. 1125 - 1137

Published: April 4, 2024

Background: In today's digital age, consumers interact with brands through various channels, including websites, social media, and mobile apps. This has led to the rise of "digital consumers" distinct cognitive skills expectations. Businesses are constantly seeking ways improve customer experience (CX) stay competitive. Objective: article explores how artificial intelligence (AI) is transforming consumer experience. Methods: A qualitative research approach was employed, utilizing literature reviews, expert interviews, case studies gain insights into application AI in interactions its impact on journey. Findings: The found that integration consumerism created new trends business, enabling personalized dynamic between brands. AI-powered tools like recommendation systems, chatbots, virtual assistants blur lines pre-purchase, purchase, post-purchase stages, offering a more seamless Conclusions: potential transform future e-commerce, marketing, service, opening horizons for both businesses consumers. However, challenges related data privacy, ethics, algorithmic biases need be addressed. Originality/Significance: presents an original contribution understanding evolving this landscape. While use aspects business been explored

Language: Английский

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AI and Personalised Grading Criteria

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 85 - 113

Published: April 19, 2024

The chapters discuss the potential of artificial intelligence (AI) in transforming higher education assessment, grading, and feedback processes, enabling personalized interventions, data analysis, deeper insights into student performance. chapter discusses significance real-time learning education, focusing on virtual teaching platforms AI-powered assessment methodologies. It evaluates AI-based assessments, machine algorithms, natural language processing techniques.

Language: Английский

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Automated Evaluation Techniques and AI-Enhanced Methods

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: April 19, 2024

The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes higher education. They cover real-time mechanisms, AI-driven practices, evaluation AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing education by providing personalized grading criteria, analyzing student data, adjusting assessment criteria to accommodate diverse styles. This approach promotes engagement, fairness, equity, enabling educators tailor teaching strategies address gaps. emphasizes faculty training enhanced methods.

Language: Английский

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