Smart Tutor: Ensuring User Privacy in Distance Education with AI-Driven Tutoring and Multilingual Knowledge Retrieval

Tanzeela Nisar; Prof. Dr. Adeel Anjum

Authors

Tanzeela Nisar Institute of Information Technology (IIT), Quaid-I-Azam University (QAU), Islamabad, Pakistan
Prof. Dr. Adeel Anjum Institute of Information Technology (IIT), Quaid-I-Azam University (QAU), Islamabad, Pakistan

Keywords:

Artificial Intelligence (AI), Large Language Models (LLM), Generative AI (Gen-AI), Prompt Privacy Preservation, Differential Privacy.

Abstract

Today, in this digital era, getting access to all such information is essential for education and learning. Indeed, most of the existing content is useful if utilized appropriately or in conjunction with developed solutions, nevertheless, people from developing areas may have a tough time understanding because the available information is not organized in one place or lacks clear and structured content. Smart Tutor is a web application built to address these challenges and we believe that information access should be updated by modern technology based on it. Smart Tutor — which is brainstormed as a knowledge assistant integrates with Google Gemini AI and Wikipedia API to deliver content on various topics in the most beautiful, feasible manner. It also includes real-time translation built on top of Google Translate, so the geographical areas and even language are not a barrier anymore. Smart Tutor also features text-to-speech in multiple accents across English and enables users to listen in their preferred accent as well as alternative visualized data for different learning types. Through centralization of scattered information, language accessibility improved and ensured safety, this promotes digital literacy enabling access also to information-disadvantaged people. The intuitive design and custom features of Smart Tutor offer an ideal resource for users from all walks of life who want to easily connect with available offers to help grow digital knowledge.

References

F. Kamalov, D. Santandreu Calonge, and I. Gurrib, “New era of artificial intelligence in education: Towards a sustainable educational framework,” International Journal of Educational Management, 2023.

S. Rafiq, S. Iqbal, and A. Afzal, “The impact of digital tools and online learning platforms on higher education learning outcomes,” Al-Mahdi Research Journal (MRJ), vol. 5, no. 4, pp. 359–369, 2024.

A. Harry and S. Sayudin, “Role of ai in education,” Interdisciplinary Journal and Humanity (INJURITY), vol. 2, no. 3, pp. 260–268, 2023.

A. Goel et al., “Differential privacy with multiple selections,” arXiv preprint arXiv:2407.14641, 2024.

M. Veeramanickam, M. S. Dabade, R. R. Borhade, S. S. Barekar, C. Navarro, U. Roman-Concha, C. Rodriguez et al., “Smart education system to improve the learning system with cbr based recommendation system using iot,” Heliyon, vol. 9, no. 7, 2023.

A. Alam, “Harnessing the power of ai to create intelligent tutoring systems for enhanced classroom experience and improved learning outcomes,” in Intelligent Communication Technologies and Virtual Mobile Networks. Springer, 2023, pp. 571–591.

A. Ramadhan, H. L. H. S. Warnars, and F. H. A. Razak, “Combining intelligent tutoring systems and gamification: a systematic literature review,” Education and Information Technologies, vol. 29, no. 6, pp. 6753–6789, 2024.

P. Arnau-Gonza´lez, M. Arevalillo-Herra´ez, R. Albornoz-De Luise, and D. Arnau, “A methodological approach to enable natural language interaction in an intelligent tutoring system,” Computer Speech & Language, vol. 81, p. 101516, 2023.

M. Kamruzzaman, S. Alanazi, M. Alruwaili, N. Alshammari, S. Elaiwat, M. Abu-Zanona, N. Innab, B. Mohammad Elza- ghmouri, and B. Ahmed Alanazi, “Ai-and iot-assisted sustainable education systems during pandemics, such as covid-19, for smart cities,” Sustainability, vol. 15, no. 10, p. 8354, 2023.

R. Baeza-Yates and B. Ribeiro-Neto, Modern information retrieval: the concepts and technology behind the search. Addison-Wesley, 2011.

Y. Wang, R. Skerry-Ryan, D. Stanton et al., “Tacotron: Towards end-to-end speech synthesis,” in Interspeech, 2017.

D. Bahdanau, K. Cho, and Y. Bengio, “Neural machine translation by jointly learning to align and translate,” in ICLR, 2015.

J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “Bert: Pre-training of deep bidirectional transformers for language understanding,” in NAACL-HLT, 2019.

Y. Goldberg, “Deep learning for natural language processing: A review,” Journal of Machine Learning Research, 2016.

P. Koehn, Neural machine translation. Cambridge University Press, 2020.

T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, and D. Amodei, “Language models are quick learners,” arXiv preprint arXiv:2005.14165, 2020.

A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” OpenAI Blog, vol. 1, no. 8, p. 9, 2019.

J. M. Abowd and I. M. Schmutte, “An economic analysis of privacy protection and statistical accuracy as social choices,” American Economic Review, vol. 109, no. 1, pp. 171–202, 2019.

S. Benthall and R. Cummings, “Integrating differential privacy and contextual integrity,” in Proceedings of the Symposium on Computer Science and Law, 2024.

A. C. Graesser, N. K. Person, and J. P. Magliano, “Collaborative dialogue patterns in naturalistic one-to-one tutoring,” Applied Cognitive Psychology, vol. 9, no. 6, pp. 495–522, 2005.

Q. Huang, P. Wang, and C. Yu, “A survey of knowledge graphs: Representation and applications,” IEEE Transactions on Knowledge and Data Engineering, 2020.

Plotly Technologies Inc., “Plotly: Collaborative data science,” Plotly, Tech. Rep., 2015.

B. P. Woolf, H. C. Lane, V. K. Chaudhri, and J. L. Kolodner, “Ai grand challenges for education,” AI Magazine, vol. 34, no. 4, pp. 66–84, 2013.

I. E. Allen and J. Seaman, “Digital learning compass: Distance education enrollment report 2017,” Babson Survey Research Group, Tech. Rep., 2017.

E. A. Alasadi and C. R. Baiz, “Generative ai in education and research: Opportunities, concerns, and solutions,” Journal of Chemical Education, vol. 100, no. 8, pp. 2965–2971, 2023.

A. Singhal, “Modern information retrieval: A brief overview,” IEEE Data Eng. Bull., vol. 24, no. 4, pp. 35–43, 2001.

Y. Wu, “Integrating generative ai in education: how chatgpt brings challenges for future learning and teaching,” Journal of Advanced Research in Education, vol. 2, no. 4, pp. 6–10, 2023.

B. Williamson, “The social life of ai in education,” International Journal of Artificial Intelligence in Education, vol. 34, no. 1, pp. 97–104, 2024.

P. Denny et al., “Generative ai for education (gaied): Advances, opportunities, and challenges,” arXiv preprint arXiv:2402.01580, 2024.

A. Ghimire, J. Prather, and J. Edwards, “Generative ai in education: A study of educators’ awareness, sentiments, and influencing factors,” arXiv preprint arXiv:2403.15586, 2024.