Explainable AI in Education

K-12 Education

Author: Marwa EL HAJJ

Artificial intelligence (AI) has become a ubiquitous force in various industries, and education is no exception. While there are ongoing debates on the impact of AI in education, Explainable AI in Education (XAI-ED) has emerged as a transformative paradigm that offers several benefits that could revolutionize the educational landscape.

Understanding XAI-ED Framework

It is necessary to make Artificial Intelligence (AI) understandable in education. Just revealing how AI works isn't enough. Educational stakeholders including technologists, researchers, learners, parents, teachers, educational administrators, and policymakers, with diverse and often different needs, all want educational benefits of AI that must also be accountable and trusted (Khosravi et al., 2022).

The XAI-ED framework serves as a guiding tool that provides a comprehensive structure for the study, design, and development of educational AI tools. It consists of six key aspects, namely: stakeholders, benefits, approaches, models, designs, and pitfalls. These aspects create a robust foundation for understanding the current state-of-the-art and identifying potential challenges in the development of educational AI tools.

Empowering Educators

XAI-ED introduces a groundbreaking approach to decision-making for educators. By providing user-friendly tools that improve accountability and reliability, educators can make well-informed and transparent choices. The inclusion of comparison methods, Natural Language Processing (NLP) functions, and co-design strategies simplify educational workflows, encouraging effective and responsible teaching strategies. As a result, educators will experience improved accountability and trust, leading to the smooth integration of AI-driven insights in the educational system.

Fostering Student Empowerment

Incorporating Explainable AI (XAI) in education through an interactive workshop for students has numerous benefits. XAI-ED can promote AI literacy and offer local explanations, making it easier for students to understand AI processes. It also places a strong emphasis on user experience, which can lead to heightened engagement in the learning environment. This dynamic and participatory educational experience helps to foster curiosity and critical thinking skills. However, it's important to address challenges such as potential dysfunctional behavior to maximize the positive impact on students.

The example of using XAI concepts in an engaging and accessible manner, such as through an interactive story and game using Scratch (Alonso J.M., 2020), showcases the tangible impact on student empowerment. By participating in building self-explainable classifiers, students not only understand the basics of XAI but also gain a sense of agency and confidence. This hands-on approach demystifies the complexities of AI processes and makes it more accessible to students. Online resources further democratize access to XAI education, making it adaptable to various learning environments, including webinars and e-learning.

Therefore, integrating XAI into education empowers students by providing them with practical skills, a deeper understanding of AI, and an inclusive and accessible learning experience.

Enhancing Research Capabilities for Educational Researchers

Educational researchers are finding that XAI-ED provides them with greater agency. By adopting example-based approaches and content-based recommender systems, researchers can customize AI systems to align with their unique research objectives. This customization enhances the relevance and effectiveness of AI technology in addressing the distinctive challenges and needs of educational research. XAI-ED has become a powerful tool for researchers, allowing them to conduct more targeted and impactful studies, contributing significantly to the ongoing enhancement of educational methodologies and practices.

Collective Impact on Teaching and Learning

The collective impact of XAI-ED benefits suggests a transformative future for teaching and learning. Educators can anticipate more efficient and data-driven decision-making processes, leading to improved instructional strategies. Students, on the other hand, will experience a more personalized and engaging learning journey, with AI technologies seamlessly complementing traditional educational approaches. Educational researchers, armed with advanced AI tools, are encouraged to conduct studies that are not only impactful but also contribute to the continuous improvement of educational practices.

Conclusion

To conclude, XAI-ED is not just a technological advancement; it's a catalyst for positive change in education. The benefits it brings to educators, students, and researchers underscore its potential to redefine the future of teaching and learning. As XAI-ED continues to evolve and overcome challenges, its transformative impact on education becomes increasingly apparent, promising a harmonious integration of artificial intelligence into the educational ecosystem.

References

Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3.  https://doi.org/10.1016/j.caeai.2022.100074

Alonso, J.M. (2020). Teaching explainable artificial intelligence to high school students. International Journal of Computational Intelligence Systems, 13(1), 974–987. https://doi.org/10.2991/ijcis.d.200715.003

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