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Are Students Aware of How Much Help They Need? The Relationship Between Awareness, Help Seeking, and Self-assessment

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Artificial Intelligence in Education (AIED 2022)

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Abstract

Facilitating students to become better self-regulated learners is a grand challenge in intelligent tutoring systems (ITS) research. Help-seeking (HS) and self-assessment (SA) are important in self-regulated learning. The literature has shown that students tend to have maladaptive HS behavior, e.g., overuse hints or not use hints when appropriate. Furthermore, student SAs of domain knowledge have been shown to be inaccurate a priori and persistently overconfident. Together these beckon the question of whether students are aware of how much help they need. To investigate this, 115 students in two introductory college statistics courses completed the Mindful Attention Awareness Scale (MAAS) questionnaire and completed a homework assignment in an ITS. Students with above-average MAAS scores used fewer hints, more accurately estimated the number of hints they would request on the subsequent similar question, and more accurately recalled the number of hints used on the previous question. However, differences in MAAS scores did not influence the number of errors made, nor the recall or prediction of errors. We contribute to the literature by showing how MAAS scores relate to HS and SA in ITS.

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References

  1. Zimmerman, B.: Motivational sources and outcomes of self-regulated learning and performance. In: Zimmerman, B.J., Shunk, D.H. (eds.) Handbook of Self-regulated Learning and Performance, pp. 49–64. Routledge, New York (2011)

    Google Scholar 

  2. Caswell, R., Steven, N.: Enhancing mathematical understanding through self-assessment and self-regulation of learning: the value of meta-awareness (2005)

    Google Scholar 

  3. Dunning, D., Heath, C., Suls, J.: Flawed self-assessment, implications for health, education, and the workplace. Psychol. Sci. Public Interest 5(3), 69–106 (2004)

    Article  Google Scholar 

  4. Nelson-Le Gall, S., Kratzer, L., Jones, E., DeCooke, P.: Children’s self-assessment of performance and task-related help seeking. J. Exp. Child. Psychol. 49, 245–263 (1990)

    Article  Google Scholar 

  5. Kruger, J., Dunning, D.: Unskilled and unaware of It: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments. J. Pers. Soc. Psychol. 77(6), 1121–1134 (1999)

    Article  Google Scholar 

  6. Roll, I., Aleven, V., McLaren, B.M., Koedinger, K.R.:  Metacognitive practice makes perfect: improving students’ self-assessment skills with an intelligent tutoring system. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. LNCS, vol. 6738. Springer, Cham (2011). https://doi.org/10.1007/978-3-642-21869-9_38

  7. Aleven, V.: Help seeking and intelligent tutoring systems: theoretical perspectives and a step towards theoretical integration. In: Azevedo, R., Aleven, V. (eds.) International Handbook of Metacognition and Learning Technologies. Springer International Handbooks of Education, vol. 28, pp. 311–335. Springer, New York (2013). https://doi.org/10.1007/978-1-4419-5546-3_21

    Chapter  Google Scholar 

  8. Roll, I., Aleven, V., McLaren, B.M., Koedinger, K.R.: Can help seeking be tutored? Searching for the secret sauce of metacognitive tutoring. In: Luckin, R., Koedinger, K.R., Greer, J. (eds.) Proceedings of the 13th International Conference on Artificial Intelligence in Education (AIED 2007), pp. 203–210. IOS Press, Amsterdam (2007)

    Google Scholar 

  9. Roll, I., Aleven, V., McLaren, B.M., Koedinger, K.R.: Improving students’ help-seeking skills using metacognitive feedback in an intelligent tutoring system. Learn. Instr. 21, 267–280 (2011)

    Article  Google Scholar 

  10. Aleven, V., Roll, I., McLaren, B.M., Koedinger, K.R.: Help helps, but only so much: research on help seeking with intelligent tutoring systems. Int. J. Artif. Intell. Educ. 26, 205–223 (2016)

    Google Scholar 

  11. Aleven, V., Roll, I., McLaren, B., Ryu, E., Koedinger, K.: An architecture to combine metacognitive and cognitive tutoring: pilot testing the help tutor. In: Looi, C., McCalla, G., Bredeweg, B., Breuker, J. (eds.) ITS 2014, pp. 443–454. Springer, Cham (2004)

    Google Scholar 

  12. Brown, K., Ryan, R.: The benefits of being present: mindfulness and its role in psychological well-being. J. Pers. Soc. Psychol. 84(4), 822–848 (2003)

    Article  Google Scholar 

  13. Dubert, C.J., Schumacher, A.M., Locker, L., Gutierrez, A.P., Barnes, V.A.: Mindfulness and emotion regulation among nursing students: investigating the mediation effect of working memory capacity. Mindfulness 7(5), 1061–1070 (2016)

    Article  Google Scholar 

  14. Bellinger, D., DeCaro, M., Ralston, P.: Mindfulness, anxiety, and high-stakes mathematics performance in the laboratory and classroom. Conscious Cogn. 37, 123–132 (2015)

    Article  Google Scholar 

  15. Aleven, V., McLaren, B., Sewell, J., Koedinger, K.: A new paradigm for intelligent tutoring systems: example-tracing tutors. Int. J. Artif. Intell. Educ. 19(2), 105–154 (2008)

    Google Scholar 

  16. Koedinger, K., Baker, S., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J.: A data repository for the EDM community: the PSLC datashop. In Romero, C., Ventura, S., Pechenizkiy, M., Baker, S. (eds.) Handbook of Educational Data Mining. CRC Press, Boca Raton (2010)

    Google Scholar 

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Acknowledgements

As always, K.H.S., J.M.S., E.M.S., and W.J.S. thank you and I l. y.

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Correspondence to Michael Smalenberger .

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Smalenberger, M. (2022). Are Students Aware of How Much Help They Need? The Relationship Between Awareness, Help Seeking, and Self-assessment. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2022. Lecture Notes in Computer Science, vol 13355. Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_63

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  • DOI: https://doi.org/10.1007/978-3-031-11644-5_63

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