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How are feelings of difficulty and familiarity linked to learning behaviors and gains in a complex science learning task?

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Abstract

The feelings of difficulty and familiarity (FOD and FOF) are two types of metacognitive experiences. Both may influence student engagement and the application of metacognitive strategies, but these relationships are not well understood, in part because many studies have relied on self-report measures of behaviors that may not accurately reflect students’ actual behaviors. In this study, FOD and FOF were related to objective measures of off-task behaviors and metacognitive strategies. These measures were extracted from 88 sixth graders’ action logs within a computer-based learning environment known as Betty’s Brain. Pre- and post-tests were administered to assess learning. Results reveal that high-FOD students showed more off-task behaviors and fewer strategic behaviors than low-FOD students, particularly when this difference was measured in terms of the frequency (as opposed to proportion) of strategic behaviors. FOF was not associated with off-task behaviors and metacognitive strategies but emerged as a moderator in the relationship between FOD and learning gains. Low-FOD students learned more than high-FOD students in the low-FOF group, but such a difference was not found in the high-FOF group.

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Notes

  1. Readers unfamiliar with Betty’s Brain may think the question is asking the difficulty of the concept of thermoregulation rather than the difficulty of learning thermoregulation. However, a Betty’s Brain unit mainly refers to the task of building a causal map for the unit rather than the unit’s resource book. We believe that students considered the Betty’s Brain’s unit on thermoregulation in terms of this perspective because they had received training on Betty’s Brain and used the system for several days.

  2. We did not use the WRS2 package because it did not offer the three-way repeated ANOVA.

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Acknowledgements

We thank Anabil Munshi for his help in preprocessing the data and Stefan Slater for his helpful comments on an earlier version of this paper.

Funding

This work was supported by the National Science Foundation (grant numbers 1561676) and the China Scholarship Council (grant numbers 201806040180).

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Authors and Affiliations

Authors

Contributions

Yingbin Zhang—conceptualization, methodology, formal analysis, writing (original draft preparation, review, and editing). Luc Paquette—conceptualization, methodology, writing (review and editing), supervision. Ryan S. Baker—methodology, writing (review and editing). Nigel Bosch—methodology, writing (review and editing). Jaclyn Ocumpaugh—methodology, investigation, writing (review and editing). Gautam Biswas—methodology, resources, writing (review and editing).

Corresponding author

Correspondence to Yingbin Zhang.

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Conflict of interest

The authors declare no competing interests.

Additional information

Luc Paquette. Department of Curriculum & Instruction, University of Illinois at Urbana-Champaign, 1310 S Sixth Street, Champaign, IL 61820, USA. ORCID: 0000-0002-2738-3190.

Yingbin Zhang. Department of Curriculum & Instruction, University of Illinois at Urbana-Champaign, 1310 S Sixth Street, Champaign, IL 61820, USA. E-mail: yingbin2@illinois.edu. ORCID: 0000-0002-2664-3093.

Current themes of research:

Our current themes of research are students’ self-regulated learning processes during science learning within open-ended environments. Specifically, we focus on the interactions among behaviors, affect, and motivation.

Most relevant publications in the field of Psychology of Education:

Paquette, L., Grant, T., Zhang, Y., Biswas, G., & Baker, R. (2021). Using epistemic networks to analyze self-regulated learning in an open-ended problem-solving environment. In Ruis A.R., Lee S.B. (eds), Advances in Quantitative Ethnography. ICQE 2021. Communications in Computer and Information Science, vol 1312 (pp. 185–201).Cham: Springer. https://link.springer.com/chapter/10.1007/978-3-030-67788-6_13#citeas

Zhang, Y., Paquette, L., Baker, R. S., Ocumpaugh, J., Bosch, N., Munshi, A., & Biswas, G. (2020).The relationship between confusion and metacognitive strategies in Betty's Brain. In Rensing, C. & Drachsler, H. (Eds), Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK'20) (pp. 276–284). New York, NY: ACM. https://doi.org/10.1145/3375462.3375518

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Zhang, Y., Paquette, L., Baker, R.S. et al. How are feelings of difficulty and familiarity linked to learning behaviors and gains in a complex science learning task?. Eur J Psychol Educ 38, 777–800 (2023). https://doi.org/10.1007/s10212-022-00616-x

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  • DOI: https://doi.org/10.1007/s10212-022-00616-x

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