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Intelligent Digital Tutor to Assemble Puzzles Based on Artificial Intelligence Techniques

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Applied Informatics (ICAI 2020)

Abstract

The potential of applying image processing tools and artificial intelligence in learning processes is identified. This article presents the development of a digital tutor that helps solve a puzzle. Point cloud technology is used to identify each person’s interaction dynamically in space. The proposed methodology is developed in several stages. The first stage consists of the acquisition and pre-processing system for adquaring the user environment. The second stage consists of recognizing the piece in the puzzle, at this stage it is necessary to develop a database of the particular puzzle. In the identification process, the PCA algorithm is implemented as a complementary strategy to the use of the neural network. The last stage implements a general search algorithm as the core of the decision system. This methodology is presented as an iterative process and evolves over time according to the interaction with the user. The results are presented through confusion matrix which exhibits a performance of 92.7% assertiveness. Finally, the potential of using this methodological structure in different cognitive processes with puzzles with different levels of difficulty is raised.

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Notes

  1. 1.

    The entire puzzle database is available at: https://www.dropbox.com/sh/yirqf4xv7lrs13j/AACMKJb0QaklhsItmjXKD88oa?dl=0.

References

  1. Bloom, B.S.: The 2 sigma problem: the search for methods of group instruction as effective as one-to-one tutoring. Educ. Res. 13(6), 4–16 (1984). https://doi.org/10.3102/0013189X013006004

  2. Gao, Y., Barendregt, W., Obaid, M., Castellano, G.: When robot personalisation does not help: insights from a robot-supported learning study. In: RO-MAN 2018–27th IEEE International Symposium on Robot and Human Interactive Communication, pp. 705–712 (2018). https://doi.org/10.1109/ROMAN.2018.8525832

  3. Essa, A., Laster, S.: Bloom’s 2 sigma problem and data-driven approaches for improving student success. In: The First Year of College: Research, Theory, and Practice on Improving the Student Experience and Increasing Retention, pp. 212–246. Cambridge University Press (2017). https://doi.org/10.1017/9781316811764.009

  4. Zaga, C., Zaga, C., Lohse, M., Truong, K.P., Evers, V.: The effect of a robot’s social character on children’s task engagement: peer versus tutor. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9388 LNCS, pp. 704–713 (2015). https://doi.org/10.1007/978-3-319-25554-5_70

  5. Kolomaznik, M., Sullivan, M., Vyvyan, K.: Can virtual reality engage students with teamwork. Int. J. Innov. Sci. Math. Educ. 25(4), 32–44 (2017)

    Google Scholar 

  6. Nourbakhsh, I.R., Sycara, K., Koes, M., Yong, M., Lewis, M., Burion, S.: Human-robot teaming for search and Rescue. In: IEEE Pervasive Computing, vol. 4, no. 1, pp. 72–77 (2005). https://doi.org/10.1109/MPRV.2005.13

  7. Murphy, R.R.: Human-robot interaction in rescue robotics. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 34(2), 138–153 (2004). https://doi.org/10.1109/TSMCC.2004.826267

    Article  MathSciNet  Google Scholar 

  8. Levitt, T.S., Lawton, D.T.: Qualitative navigation for mobile robots. Artif. Intell. 44(3), 305–360 (1990). https://doi.org/10.1016/0004-3702(90)90027-W

  9. Shaik, K.B., Ganesan, P., Kalist, V., Sathish, B.S., Jenitha, J.M.M.: Comparative study of skin color detection and segmentation in HSV and YCbCr color space. Procedia Comput. Sci. 57, 41–48 (2015). https://doi.org/10.1016/j.procs.2015.07.362

  10. Norvig, P., Russell, S.: Artificial Intelligence: A Modern Approach, 4th edn., pp. 76–84. Pearson, Hoboken (2003)

    MATH  Google Scholar 

  11. Rusu, R.B., Cousins, S.: 3D is here: point Cloud Library (PCL). In: Proceedings - IEEE International Conference on Robotics and Automation (2011). https://doi.org/10.1109/ICRA.2011.5980567

  12. Khoshelham, K., Elberink, S.O.: Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors 12(2), 1437–1454 (2012)

    Article  Google Scholar 

  13. Sung, J., Ponce, C., Selman, B., Saxena, A.: Unstructured human activity detection from RGBD images. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 842–849 (2012). https://doi.org/10.1109/ICRA.2012.6224591

  14. Welk, A., et al.: Computer-assisted learning and simulation lab with 40 DentSim units. Int. J. Comput. Dentistry, 11(1), 17–40. (2008). ISSN: 14634201 2–s2.0-49049085467

    Google Scholar 

  15. Zheng, J., Cao, X., Lin, Y., Zhang, J., Feng, X.: An introduction of DentSim in pre-clinical dental training and practice. Shanghai kou qiang yi xue - Shanghai J. Stomatol. 23(6), 749–754 (2014)

    Google Scholar 

  16. Fletcher, J.D.: The value of digital tutoring and accelerated expertise for military veterans. Educ. Technol. Res. Dev. 65(3), 679–698 (2017). https://doi.org/10.1007/s11423-016-9504-z

    Article  Google Scholar 

  17. Woods, K.: The development and design of an interactive digital training resource for personal tutors. Front. Educ. 5, 100 (2020) https://doi.org/10.3389/feduc.2020.00100

  18. Suebnukarn, S., Haddawy, P.: A collaborative intelligent tutoring system for medical problem-based learning. International Conference on Intelligent User Interfaces, Proceedings IUI, pp. 14–21 (2004) https://doi.org/10.1145/964445.964447

  19. Noble, D.D.: The classroom arsenal: military research, information technology and public education. The Classroom Arsenal: Military Research, Information Technology and Public Education, pp. 1–224 (2017) https://doi.org/10.4324/9780203730317

  20. Ventura, M., et al.: Preliminary evaluations of a dialogue-based digital tutor. In: Penstein Rosé, C., et al. (eds.) AIED 2018. LNCS (LNAI), vol. 10948, pp. 480–483. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93846-2_90

    Chapter  Google Scholar 

  21. Noonan, R.: STEM Jobs: 2017 Update. ESA Issue Brief# 02–17. US Department of Commerce (2017)

    Google Scholar 

  22. Ding, X., Hu, R.: Learning To see faces in the dark. In: 2020 IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, pp. 1–6 (2020) https://doi.org/10.1109/ICME46284.2020.9102816

  23. Zhang, Y., et al.: A poisson-gaussian denoising dataset with real fluorescence microscopy images. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, pp. 11702–11710 (2019) https://doi.org/10.1109/CVPR.2019.01198

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Correspondence to C. H. Rodriguez-Garavito .

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Cachique, S.M., Correa, E.S., Rodriguez-Garavito, C.H. (2020). Intelligent Digital Tutor to Assemble Puzzles Based on Artificial Intelligence Techniques. In: Florez, H., Misra, S. (eds) Applied Informatics. ICAI 2020. Communications in Computer and Information Science, vol 1277. Springer, Cham. https://doi.org/10.1007/978-3-030-61702-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-61702-8_5

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