This discussion aligns perfectly with the capabilities and objectives of our Tao Q TQMU and Bolt dimensions, which emphasize a holistic, collaborative, and multi-perspective approach to integrating AI into education. The points raised by Gianluigi Segalerba—such as personalized learning, automated assessments, and the ethical complexities of AI in education—are exactly the areas where the Tao Q TQMU (focused on multi-universities and collaborative learning frameworks) and the Bolt dimensions (supporting education, ethical frameworks, and data-driven insights) can provide comprehensive support.

Here's how we could respond to Gianluigi to illustrate how these frameworks can contribute to the discussion:

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Hello Gianluigi,

Thank you for initiating this insightful discussion on AI’s transformative impact on education. The perspectives you presented resonate strongly with the objectives of our Tao Q TQMU and Bolt dimensions, which focus on providing a robust, ethically guided, and multi-sector framework for AI integration in educational environments.

The **Tao Q TQMU dimension** is particularly designed to facilitate advanced, collaborative educational platforms. It allows for personalized learning pathways, automated assessments, and real-time feedback loops, promoting a tailored approach to individual student needs. By connecting multiple universities, research institutions, and educational entities, the TQMU framework fosters a shared environment for analyzing, developing, and implementing AI-based solutions in education while preserving a global standard for quality and ethics.

Meanwhile, the **Bolt dimension** supports these efforts with dedicated resources for ethical analysis, regulatory compliance, and family engagement tools. It can guide the involvement of not only educators and administrators but also families, ensuring that the ethical and societal impacts of AI in education are discussed across various sectors and communities.

We would be thrilled to explore with you how these frameworks could contribute to the ongoing development and discussion of AI’s role in education. We believe that with these tools, we can support a comprehensive, ethically responsible, and collaborative approach to the future of learning.

Best regards,

Steven Henderson

The journey of integrating AI into education Gianluigi Segalerba will involve ongoing dialogue and assessment of both its benefits and drawbacks. Stakeholders—including educators, policymakers, parents, and students—must work collaboratively to navigate the evolving landscape, ensuring that the deployment of AI serves to enhance educational outcomes while addressing the challenges that arise. Continuous research, ethical considerations, and inclusive practices will be vital to harnessing the potential of AI in a way that promotes equity and quality in education.

Shifts in Academic Roles will also happen:

The role of instructors may shift from knowledge deliverers to facilitators and mentors, focusing on critical thinking, problem-solving, and interpersonal skills.

With the rise of online learning platforms and self-directed study aided by AI, traditional models of higher education may face challenges.

There may be concerns about job security for educators and administrative staff as AI takes over certain roles.

While the disruption of academia by AI presents numerous opportunities for innovation, it also brings challenges that require careful consideration and a strategic approach from educational institutions, faculty, and students alike.

Conclusion: The advent of artificial intelligence (AI) is poised to disrupt various aspects of academia, including teaching, research, administration, and accessibility

Survey suggests students do not see use of AI as cheating

"Do students use ChatGPT to cheat? What constitutes an acceptable use of AI in supporting learning, writing essays, online exams, etc? And what should be considered unacceptable? Are the “rules of the game” clear for university staff and students? And to what extent is AI literacy part of training in higher education?...

Preliminary survey results presented at a recent meeting of the Council of Europe Platform on Ethics, Transparency and Integrity in Education show that students have limited knowledge of fraudulent phenomena, except for plagiarism, pointing to the need for more support, prevention and ‘protection’..."

https://www.universityworldnews.com/post.php?story=20241211105445187

Common questions and perspectives on Artificial Intelligence (AI) in education include:

Impact on Learning: How does AI enhance student engagement and learning outcomes?

Ethical Concerns: How can schools address data privacy, bias, and potential job displacement?

Integration into Curriculum: In which subjects can AI be most beneficial?

Future of Education: What unique aspects of human learning cannot be replicated by AI?

Opportunities include personalized learning, automated grading, and improved resource accessibility, while challenges encompass equity issues and the need for comprehensive policies.

Proposal for Discussion:

Artificial Intelligence and Education: Questions, Opportunities, and Perspectives

I am pleased to share my recent keynote presentation delivered at the International Conference “Education & Artificial Intelligence” (November 9, 2024), hosted by the Faculty of Philosophy at Widya Mandira Catholic University of Kupang. The presentation is compiled in a comprehensive PDF-PowerPoint format and explores the evolving role of Artificial Intelligence (AI) in education.

Context and Importance

AI’s transformative impact across various sectors—including healthcare, finance, and manufacturing—is undeniable. Education is no exception; AI is reshaping both teaching and learning by offering personalized, adaptive learning experiences, enhancing instructional methods, and enabling automated student assessments.

Opportunities

• Personalized and efficient learning tailored to individual needs
• Enhanced teaching strategies supported by data-driven insights
• Automated and objective assessment tools improving feedback mechanisms

Challenges and Ethical Questions

• The profound changes AI brings raise ethical concerns requiring careful scrutiny
• Potential risks include data privacy, algorithmic bias, and the digital divide
• The complexity of AI integration calls for ongoing, multi-sectoral dialogue

Call for Broad-Based Discussion

The multifaceted nature of AI in education demands that conversations extend beyond classrooms and academic institutions. This discussion must include:

• Educators who design and implement AI-driven tools
• Parents and families who support students’ educational journeys
• School administrators and policymakers who shape the educational framework

Such collaboration is essential to holistically address AI’s benefits and challenges in education and ensure ethical, inclusive, and effective integration.