Luc Paquette

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Luc Paquette

 https://orcid.org/0000-0002-2738-3190
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  • 2024

    Applications of Explainable AI (XAI) in Education

    Liu, Q., Pinto, J. D. & Paquette, L., Sep 28 2024, Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines. Kourkoulou, D., Tzirides, A. O., Cope, B. & Kalantzis, M. (eds.). Springer, p. 93-109 17 p. (Postdigital Science and Education; vol. Part F3835).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Deep Learning for Educational Data Science

    Pinto, J. D. & Paquette, L., Sep 28 2024, Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines. Kourkoulou, D., Tzirides, A. O., Cope, B. & Kalantzis, M. (eds.). Springer, p. 111-139 29 p. (Postdigital Science and Education; vol. Part F3835).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2023

    Sequential Pattern Mining in Educational Data: The Application Context, Potential, Strengths, and Limitations

    Zhang, Y. & Paquette, L., Apr 2023, Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence. Peña-Ayala, A. (ed.). Springer, p. 219-254 36 p. (Big Data Management).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2022

    Quick Red Fox: An App Supporting a New Paradigm in Qualitative Research on AIED for STEM

    Hutt, S., Baker, R. S., Ocumpaugh, J., Munshi, A., Andres, J. M. A. L., Karumbaiah, S., Slater, S., Biswas, G., Paquette, L., Bosch, N. & van Velsen, M., Dec 20 2022, Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology. Ouyang, F., Jiao, P., McLaren, B. M. & Alavi, A. H. (eds.). CRC Press, p. 319-332 14 p. (Chapman & Hall/CRC Artificial Intelligence and Robotics Series).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2020

    The Invisible Breadcrumbs of Digital Learning: How Learner Actions Inform Us of Their Experience

    Paquette, L. & Bosch, N., 2020, Handbook of Research on Digital Learning. Montebello, M. (ed.). IGI Global, p. 302-316 15 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2018

    How immersive virtual environments foster self-regulated learning

    Jiang, Y., Clarke-Midura, J., Baker, R. S., Paquette, L. & Keller, B., Mar 2 2018, Digital Technologies and Instructional Design for Personalized Learning. IGI Global, p. 28-54 27 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2017

    Data Mining Methods for Assessing Self-Regulated Learning

    Biswas, G., Baker, R. & Paquette, L., Sep 7 2017, Handbook of Self-Regulation of Learning and Performance. Schunk, D. H. & Greene, J. A. (eds.). 2 ed. Routledge, p. 388-403 16 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2016

    Educational Data Mining: A MOOC Experience

    Baker, R. S., Wang, Y., Paquette, L., Aleven, V., Popescu, O., Sewall, J., Rosé, C., Tomar, G. S., Ferschke, O., Zhang, J., Cennamo, M. J., Ogden, S., Condit, T., Diaz, J., Crossley, S., McNamara, D. S., Comer, D. K., Lynch, C. F., Brown, R. & Barnes, T. & 1 others, Bergner, Y., Oct 14 2016, Data Mining And Learning Analytics: Applications in Educational Research. ElAtia, S., Ipperciel, D. & Zaïane, O. R. (eds.). Wiley-Blackwell, p. 55-66 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2010

    Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT

    Paquette, L., Lebeau, J. F. & Mayers, A., 2010, Advances in Intelligent Tutoring Systems. Nkambou, R., Bourdeau, J. & Mizoguchi, R. (eds.). Springer, p. 377-405 29 p. (Studies in Computational Intelligence; vol. 308).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter