ARCHIVES
90-98
AI-Driven Personalized Learning and Interview Preparation
Manjula G1
Bharath Rajashekar2
Tanush Reddy K3
Kusuma H4
Shankar S5
1Professor &HOD, Computer Science and Design, Dayananda Sagar Academy of Technology & Management Bengaluru, Karnataka, India. 2,3,4,5Student, 4th Year, B.E Computer Science and Design Dayananda Sagar Academy of Technology & Management Bengaluru, Karnataka, India
Published Online: March-April 2025
Pages: 90-98
Cite this article
No DOIReferences
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design: Student engagement and performance tracking system,” in Proc. 4th Int. Conf. Adv. Comput. Innov. Technol. Eng. (ICACITE),
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2. R. Qureshi, S. Hajare, and P. Verma, “A review on the role of artificial intelligence in personalized learning,” in Proc. 2024 Asia
Pacific Conf. Innovation in Technology (APCIT), Jul. 2024, pp. 1–5. IEEE. https://doi.org/10.1109/APCIT62007.20
24.10673706
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simulator with AI and pose-based interaction,” in Proc. 2024 1st Int. Conf. Cognitive, Green, and Ubiquitous Comput. (IC-CGU), Mar.
2024, pp. 01 05. https://doi.org/10.1109/IC CGU58078.2024.10530717
4. R. Mandal, P. Lohar, D. Patil, A. Patil, and S. Wagh, “AI-based mock interview evaluator: An emotion and confidence classifier
model,” in Proc. 2023 Int. Conf. Intell. Syst. Commun., IoT Secur. (ICISCoIS), Feb. 2023,pp.521–526.
https://doi.org/10.1109/ICISCoIS56541. 2023.10100589
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candidate insights,” in Proc. 2nd DMIHER Int. Conf. Artif. Intell. Healthc., Educ. Ind. (IDICAIEI), Nov. 2024, pp. 1–6. IEEE.
https://doi.org/10.1109/IDICAIEI618 67.2024.10842712
6. F. Golla, engagement “Enhancing through student AI-powered educational chatbots: A retrieval augmented generation approach,”
in Proc. 2024 21st Int. Conf. Inf. Technol. Based Higher Educ. Train. (ITHET), Nov. 6, 2024, pp. 1–6.
https://doi.org/10.1109/ITHET61869.2024.10837678
7. T. K. Ranasinghe, J. G. Gamage, K. T. Perera, S. Thelijjagoda, and P. Gunatilake, “AI-powered smart and personalized education
platform,” in Proc. 2023 Int. Conf. Innovative Comput., Intell. Commun. Smart Elect. Syst. (ICSES), Dec. 14, 2023, pp. 1–7.
https://doi.org/10.1109/ICSES60034.20 23.10465439
8. S. Dutta, S. Ranjan, S. Mishra, V. Sharma, P. Hewage, and C. Iwendi, “Enhancing educational adaptability: A review and analysis of
AI-driven adaptive learning platforms,” in Proc. 4th Int. Conf. Innovative Practices Technol. Manag. (ICIPTM), Feb. 21,
2024, pp. 1–5. https://doi.org/10.1109/ICIPTM59628.2 024.10563448
9. Y.-C. Chou, F. R. Wongso, C.-Y. Chao and H.-Y. Yu, “An AI mock-interview platform for interview performance analysis,” in Proc.
10th Int. Conf. Inf. Educ. Technol. (ICIET), Apr. 9, 2022, pp. 37–41. https://doi.org/10.1109/ICIET55102.202 2.9778999
10. J.V.Barpute, O.Wattamwar, S.Pakjade, and S. Diwate, “A survey of AI driven mock interviews
using GenAI and machine learning (InterviewX),” in Proc. 4th Int. Conf. Ubiquitous Comput. Intell. Inf. Syst. (ICUIS), Dec.
2024, pp. 217–224. https://doi.org/10.1109/ICUIS64676.20 24.10866631
11. S. G. Essa, T. Celik, and N. E. Human Hendricks, “Personalized adaptive learning technologies based on machine learning techn iques
to identify learning styles: A systematic literature review,” IEEE Access, vol. 11, pp. 48392–48409, May 15, 2023.
https://doi.org/10.1109/ACCESS.2023.3 276439
12. K. R. Pradeep, A. S. Manish, A. S. Adithiyaa, N. Sahana, and S. T. Abhishek, learning “Personalized pl atform adaptive empowered by
artificial intelligence,” in Proc. 2024 Int. Conf. Knowledge Eng. Commun. Syst. (ICKECS), vol. 1, pp. 1–8, Apr. 2024.
https://doi.org/10.1109/ICKECS61492.2 024.10617075
13. M. Apetorgbor, E. Akpabio, and S. Narad, “A comprehensive review of personalized learning platforms and their impact on
student performance in AI education,” in Proc. 2nd DMIHER Int. Conf. Artif. Intell. Healthc., Educ. Ind. (IDICAIEI), Nov. 29,
2024, pp. 1–6, IEEE. https://doi.org/10.1109/IDICAIEI61867. 2024.10842824
14. M. Murtaza, Y. Ahmed, J. A. Shamsi, F. Sherwani, and M. Usman, “AI-based personalized e-learning systems: Issues, challenges,
and solutions,” IEEE Access, vol. 10, pp. 81323–81342,Jul.26,2022.https://doi.org/10.1109/ACCESS.2022.3 193938
15. C. J. J. M., M. Sabi, M. Benson, and G. Baburaj, “Q&AI: An AI powered mock interview bot for enhancing the performance of aspiring
professionals,” in Proc. 2024 Int. Conf. Recent Adv. Electr., Electron. Ubiquitous Commun., Comput. Intell. (RAEEUCCI), Apr. 17,
2024, pp. 1–5. https://doi.org/10.1109/RAEEUCCI613 80.2024.10547951
design: Student engagement and performance tracking system,” in Proc. 4th Int. Conf. Adv. Comput. Innov. Technol. Eng. (ICACITE),
May 14, 2024, pp. 1125–1130. https://doi.org/10.1109/ICACITE6078 3.2024.10617155
2. R. Qureshi, S. Hajare, and P. Verma, “A review on the role of artificial intelligence in personalized learning,” in Proc. 2024 Asia
Pacific Conf. Innovation in Technology (APCIT), Jul. 2024, pp. 1–5. IEEE. https://doi.org/10.1109/APCIT62007.20
24.10673706
3. B. Jadhav, A. Sawant, A. Shah, P. Vemula, A. Waikar, and S. Yadav, “A comprehensive study and implementation of the mock interview
simulator with AI and pose-based interaction,” in Proc. 2024 1st Int. Conf. Cognitive, Green, and Ubiquitous Comput. (IC-CGU), Mar.
2024, pp. 01 05. https://doi.org/10.1109/IC CGU58078.2024.10530717
4. R. Mandal, P. Lohar, D. Patil, A. Patil, and S. Wagh, “AI-based mock interview evaluator: An emotion and confidence classifier
model,” in Proc. 2023 Int. Conf. Intell. Syst. Commun., IoT Secur. (ICISCoIS), Feb. 2023,pp.521–526.
https://doi.org/10.1109/ICISCoIS56541. 2023.10100589
5. J. Joseph and M. V. Judy, “Developing an intelligent integrated software agent for streamlined interview automation and enhan ced
candidate insights,” in Proc. 2nd DMIHER Int. Conf. Artif. Intell. Healthc., Educ. Ind. (IDICAIEI), Nov. 2024, pp. 1–6. IEEE.
https://doi.org/10.1109/IDICAIEI618 67.2024.10842712
6. F. Golla, engagement “Enhancing through student AI-powered educational chatbots: A retrieval augmented generation approach,”
in Proc. 2024 21st Int. Conf. Inf. Technol. Based Higher Educ. Train. (ITHET), Nov. 6, 2024, pp. 1–6.
https://doi.org/10.1109/ITHET61869.2024.10837678
7. T. K. Ranasinghe, J. G. Gamage, K. T. Perera, S. Thelijjagoda, and P. Gunatilake, “AI-powered smart and personalized education
platform,” in Proc. 2023 Int. Conf. Innovative Comput., Intell. Commun. Smart Elect. Syst. (ICSES), Dec. 14, 2023, pp. 1–7.
https://doi.org/10.1109/ICSES60034.20 23.10465439
8. S. Dutta, S. Ranjan, S. Mishra, V. Sharma, P. Hewage, and C. Iwendi, “Enhancing educational adaptability: A review and analysis of
AI-driven adaptive learning platforms,” in Proc. 4th Int. Conf. Innovative Practices Technol. Manag. (ICIPTM), Feb. 21,
2024, pp. 1–5. https://doi.org/10.1109/ICIPTM59628.2 024.10563448
9. Y.-C. Chou, F. R. Wongso, C.-Y. Chao and H.-Y. Yu, “An AI mock-interview platform for interview performance analysis,” in Proc.
10th Int. Conf. Inf. Educ. Technol. (ICIET), Apr. 9, 2022, pp. 37–41. https://doi.org/10.1109/ICIET55102.202 2.9778999
10. J.V.Barpute, O.Wattamwar, S.Pakjade, and S. Diwate, “A survey of AI driven mock interviews
using GenAI and machine learning (InterviewX),” in Proc. 4th Int. Conf. Ubiquitous Comput. Intell. Inf. Syst. (ICUIS), Dec.
2024, pp. 217–224. https://doi.org/10.1109/ICUIS64676.20 24.10866631
11. S. G. Essa, T. Celik, and N. E. Human Hendricks, “Personalized adaptive learning technologies based on machine learning techn iques
to identify learning styles: A systematic literature review,” IEEE Access, vol. 11, pp. 48392–48409, May 15, 2023.
https://doi.org/10.1109/ACCESS.2023.3 276439
12. K. R. Pradeep, A. S. Manish, A. S. Adithiyaa, N. Sahana, and S. T. Abhishek, learning “Personalized pl atform adaptive empowered by
artificial intelligence,” in Proc. 2024 Int. Conf. Knowledge Eng. Commun. Syst. (ICKECS), vol. 1, pp. 1–8, Apr. 2024.
https://doi.org/10.1109/ICKECS61492.2 024.10617075
13. M. Apetorgbor, E. Akpabio, and S. Narad, “A comprehensive review of personalized learning platforms and their impact on
student performance in AI education,” in Proc. 2nd DMIHER Int. Conf. Artif. Intell. Healthc., Educ. Ind. (IDICAIEI), Nov. 29,
2024, pp. 1–6, IEEE. https://doi.org/10.1109/IDICAIEI61867. 2024.10842824
14. M. Murtaza, Y. Ahmed, J. A. Shamsi, F. Sherwani, and M. Usman, “AI-based personalized e-learning systems: Issues, challenges,
and solutions,” IEEE Access, vol. 10, pp. 81323–81342,Jul.26,2022.https://doi.org/10.1109/ACCESS.2022.3 193938
15. C. J. J. M., M. Sabi, M. Benson, and G. Baburaj, “Q&AI: An AI powered mock interview bot for enhancing the performance of aspiring
professionals,” in Proc. 2024 Int. Conf. Recent Adv. Electr., Electron. Ubiquitous Commun., Comput. Intell. (RAEEUCCI), Apr. 17,
2024, pp. 1–5. https://doi.org/10.1109/RAEEUCCI613 80.2024.10547951
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