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A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features

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Computer Analysis of Images and Patterns (CAIP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14185))

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Abstract

An integrated system that provides automated lecture style evaluation, allowing teachers to get instant feedback related to the goodness of their lecturing style is presented. The proposed system aims to promote quality improvement of lecture delivery, that could upgrade the overall learning experience of students. The proposed application focuses on specific measurable biometric characteristics, such as facial expressions, body activity, speech rate and intonation, hand movement and facial pose, extracted through video and audio. Measurable biometric features extracted during a lecture are combined to provide teachers with a score reflecting lecture style quality both at frame rate and by providing quality metrics for the whole lecture. A pilot evaluation of the application was conducted with chief education officers, educators and students to obtain feedback on the proposed application. Initial results indicate that the proposed teacher evaluation system is innovative, and it has the potential to become an invaluable tool for educators who wish to maximize the impact of their lectures.

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References

  1. Almeida, P.A.: Can I ask a question? The importance of classroom questioning. Procedia Soc. Behav. Sci. 31, 634–638 (2012)

    Article  Google Scholar 

  2. Amal, V. S., Suresh, S., Deepa, G.: Real-time emotion recognition from facial expressions using convolutional neural network with Fer2013 dataset. In: Ubiquitous Intelligent Systems: Proceedings of ICUIS 2021, pp. 541–551. Springer Singapore (2022). https://doi.org/10.1007/978-981-16-3675-2_41

  3. Jeff, A., et al.: (2016) Better Feedback for Better Teaching: A Practical Guide to Improving Classroom Observations. Wiley (2016)

    Google Scholar 

  4. Azer, S.A.: The qualities of a good teacher: how can they be acquired and sustained? J. R. Soc. Med. 98(2), 67–69 (2005)

    Article  Google Scholar 

  5. Bambaeeroo, F., Shokrpour, N.: The impact of the teachers’ non-verbal communication on success in teaching. J. Adv. Med. Educ. Prof. 5(2), 51–59 (2017). PMID: 28367460; PMCID: PMC5346168

    Google Scholar 

  6. Barriball, K.L., While, A.: Collecting data using a semi-structured interview: a discussion paper. J. Adv. Nurs. Inst. Subscript. 19(2), 328–335 (1994)

    Google Scholar 

  7. Bhatia, M., Kaur, A.: Quantum computing inspired framework of student performance assessment in smart classroom. Trans. Emer. Telecommun. Technol. 32(9), 1–22 (2021). PMCID: PMC5346168

    Google Scholar 

  8. Crosby, R.H.J.: AMEE Guide No 20: The good teacher is more than a lecturer-the the twelve roles of the teacher. Med. Teach. 22(4), 334–347 (2000)

    Article  Google Scholar 

  9. Dimitriadou, E., Lanitis, A.: Using student action recognition to enhance the efficiency of tele-education. In: VISIGRAPP (5: VISAPP) pp. 543–549 (2022)

    Google Scholar 

  10. Eady, S.J., Cooper, W.E.: Speech intonation and focus location in matched statements and questions. J. Acoust. Soc. Am. 80(2), 402–415 (1986)

    Article  Google Scholar 

  11. Gao, B.: Research and implementation of intelligent evaluation system of teaching quality in universities based on artificial intelligence neural network model. Math. Probl. Eng. 2022, 1 (2022). https://doi.org/10.1155/2022/8224184

    Article  Google Scholar 

  12. Hou, C., Ai, J., Lin, Y., Guan, C., Li, J., Zhu, W.: Evaluation of online teaching quality based on facial expression recognition. Future Internet 14(6), 177 (2022)

    Article  Google Scholar 

  13. Emily, J., et al.: Toward automated feedback on teacher discourse to enhance teacher learning. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020)

    Google Scholar 

  14. Jensen, E., Pugh, S.L., D'Mello, S.K.: A deep transfer learning approach to modeling teacher discourse in the classroom. In: LAK21: 11th International Learning Analytics and Knowledge Conference, pp. 302–312 (2021)

    Google Scholar 

  15. Lasri, I., Solh, A.R., El Belkacemi, M.: Facial emotion recognition of students using convolutional neural network. In: 2019 third International Conference on Intelligent Computing in Data Sciences (ICDS), pp. 1–6. IEEE (2019)

    Google Scholar 

  16. Lewandowski, L., Wood, W., Miller, L.A.: Technological applications for individuals with learning disabilities and ADHD. In Computer-Assisted and Web-Based Innovations in Psychology, Special Education, and Health, pp. 61–93. Academic Press (2016)

    Google Scholar 

  17. Miller, P.W.: Nonverbal Communication. What Research Says to the Teacher. NEA Professional Library, PO Box 509, West Haven, CT 06516 (1988)

    Google Scholar 

  18. Mohammadreza, E., Safabakhsh, R.: Lecture quality assessment based on the audience reactions using machine learning and neural networks. Comput. Educ. Artific. Intell. 2, 100022 (2021)

    Article  Google Scholar 

  19. Rantala, L., Haataja, K., Vilkman, E., Körkkö, P.: Practical arrangements and methods in the field examination and speaking style analysis of professional voice users. Scandinavian J. Logoped. Phoniat. 19(1–2), 43–54 (1994)

    Article  Google Scholar 

  20. Singh, A.K., Kumbhare, V.A., Arthi, K.: Real-time human pose detection and recognition using MediaPipe. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K. (eds.) Soft Computing and Signal Processing. ICSCSP 2021. Advances in Intelligent Systems and Computing, vol. 1413. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-7088-6_12

  21. Srivastava, M., Saurabh, P., Verma, B.: IOT for capturing information and providing assessment framework for higher educational institutions—a framework for future learning. In: Soft Computing for Problem Solving: SocProS 2018, vol. 2, pp. 249–261 (2020)

    Google Scholar 

  22. Veluri, R.K., Sree, S.R., Vanathi, A., Aparna, G., Vaidya, S.P.: Hand gesture map** using MediaPipe algorithm. In: Proceedings of Third International Conference on Communication, Computing and Electronics Systems, pp. 597–614 (2022)

    Google Scholar 

  23. Pi, Z., Liu, W., Ling, H., Zhang, X., Li, X.: Does an instructor’s facial expressions override their body gestures in video lectures? Comput. Educ. 193, 104679 (2023)

    Article  Google Scholar 

  24. Zhao, Y., Tang, W.: Modeling and analysis of college teaching quality based on Bp neural network. In: 3rd International Conference on Advancement of the Theory and Practices in Education (ICATPE 2019) (2019)

    Google Scholar 

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Acknowledgements

This project was partially supported by EU’s H2020 Research and Innovation Programme (Grant Agreement No 739578) and the Government of the Republic of Cyprus.

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Authors and Affiliations

  1. Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Eleni A. Dimitriadou & Andreas Lanitis

  2. Centre of Excellence-CYENS, Nicosia, Cyprus

    Eleni A. Dimitriadou & Andreas Lanitis

Authors
  1. Eleni A. Dimitriadou
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  2. Andreas Lanitis
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Corresponding author

Correspondence to Eleni A. Dimitriadou .

Editor information

Editors and Affiliations

  1. Cyprus University of Technology, Limassol, Cyprus

    Nicolas Tsapatsoulis

  2. Cyprus University of Technology/CYENS Center of Excellence, Limassol, Cyprus

    Andreas Lanitis

  3. The University of New Mexico, Albuquerque, NM, USA

    Marios Pattichis

  4. University of Cyprus/CYENS Center of Excellence, Nicosia, Cyprus

    Constantinos Pattichis

  5. University of Cyprus/KIOS Center of Excellence, Nicosia, Cyprus

    Christos Kyrkou

  6. Cyprus University of Technology, Limassol, Cyprus

    Efthyvoulos Kyriacou

  7. Cyprus University of Technology/CYENS Center of Excellence, Limassol, Cyprus

    Zenonas Theodosiou

  8. CYENS Center of Excellence, Nicosia, Cyprus

    Andreas Panayides

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Dimitriadou, E.A., Lanitis, A. (2023). A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features. In: Tsapatsoulis, N., et al. Computer Analysis of Images and Patterns. CAIP 2023. Lecture Notes in Computer Science, vol 14185. Springer, Cham. https://doi.org/10.1007/978-3-031-44240-7_1

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  • DOI: https://doi.org/10.1007/978-3-031-44240-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-44239-1

  • Online ISBN: 978-3-031-44240-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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