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Evaluating the Transfer of Scaffolded Inquiry: What Sticks and Does It Last?

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

Abstract

The Next Generation Science Standards [1] expect students to master disciplinary core ideas, crosscutting concepts, and scientific practice. In prior work, we showed that students benefited from real time scaffolding of science practices such that students’ inquiry competencies both improved over time and transferred to new science topics. The present study examines the robustness of adaptive scaffolding by evaluating students’ inquiry performances at a very fine-grained level in order to investigate what aspects of inquiry are robust over time once scaffolding was removed. 108 middle school students in grade 6 used Inq-ITS and received adaptive scaffolding for three lab activities in the first inquiry topic they completed (i.e. Animal Cell); they then completed 10 activities without scaffolding across three new topics. Results showed that after removing scaffolding, student’s inquiry performance generally improved with slight variations in performance across driving questions and over time. Overall, these findings suggest that adaptive scaffolding may support students’ inquiry learning and transfer of inquiry practices over time and across topics.

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References

  1. Next Generation Science Standards Lead States: Next Generation Science Standards: For States, by States. National Academies Press, Washington (2013)

    Google Scholar 

  2. Hmelo-Silver, C.E., Duncan, R.G., Chinn, C.A.: Scaffolding and achievement in problem-based and inquiry learning: a response to Kirschner, Sweller, and Clark (2006). Educ. Psychol. 42, 99–107 (2007)

    Article  Google Scholar 

  3. Kang, H., Thompson, J., Windschitl, M.: Creating opportunities for students to show what they know: the role of scaffolding in assessment tasks. Sci. Educ. 98, 674–704 (2014)

    Article  Google Scholar 

  4. McNeill, K.L., Krajcik, J.S.: Supporting grade 5–8 students in constructing explanations in science: the claim, evidence, and reasoning framework for talk and writing. Pearson (2011)

    Google Scholar 

  5. Vygotsky, L.S.: Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge (1978)

    Google Scholar 

  6. Quintana, C., et al.: A scaffolding design framework for software to support science inquiry. J. Learn. Sci. 13, 337–386 (2004)

    Article  Google Scholar 

  7. Tabak, I., Reiser, B.J.: Software-realized inquiry support for cultivating a disciplinary stance. Pragmat. Cogn. 16, 307–355 (2008)

    Article  Google Scholar 

  8. van Joolingen, W.R., de Jong, T., Lazonder, A.W., Savelsbergh, E.R., Manlove, S.: Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning. Comput. Hum. Behav. 21, 671–688 (2005)

    Article  Google Scholar 

  9. Gobert, J.D., Sao Pedro, M., Raziuddin, J., Baker, R.S.: From log files to assessment metrics: measuring students’ science inquiry skills using educational data mining. J. Learn. Sci. 22, 521–563 (2013)

    Article  Google Scholar 

  10. McNeill, K.L., Lizotte, D.J., Krajcik, J., Marx, R.W.: Supporting students’ construction of scientific explanations by fading scaffolds in instructional materials. J. Learn. Sci. 15, 153–191 (2006)

    Article  Google Scholar 

  11. Martin, N.D., Tissenbaum, C.D., Gnesdilow, D., Puntambekar, S.: Fading distributed scaffolds: the importance of complementarity between teacher and material scaffolds. Instr. Sci. 47, 1–30 (2018)

    Google Scholar 

  12. Gobert, J.D., Moussavi, R., Li, H., Sao Pedro, M., Dickler, R.: Real-time scaffolding of students’ online data interpretation during inquiry with Inq-ITS using educational data mining. In: Auer, M.E., Azad, A.K.M., Edwards, A., de Jong, T. (eds.) Cyber-Physical Laboratories in Engineering and Science Education, pp. 191–217. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76935-6_8

    Chapter  Google Scholar 

  13. Noroozi, O., Kirschner, P.A., Biemans, H.J., Mulder, M.: Promoting argumentation competence: extending from first-to second-order scaffolding through adaptive fading. Educ. Psychol. Rev. 30, 1–24 (2017)

    Google Scholar 

  14. Li, H., Gobert, J., Dickler, R.: Testing the robustness of inquiry practices once scaffolding is removed. Submitted to: Intelligent Tutoring Systems (submitted)

    Google Scholar 

  15. Koedinger, K.R., Anderson, J.R.: Illustrating principled design: the early evolution of a cognitive tutor for algebra symbolization. Interact. Learn. Environ. 5, 161–180 (1998)

    Article  Google Scholar 

  16. Chen, Z., Klahr, D.: Remote transfer of scientific-reasoning and problem-solving strategies in children. In: Advances in Child Development and Behavior, pp. 419–470. JAI (2008)

    Google Scholar 

  17. Borek, A., McLaren, B.M., Karabinos, M., Yaron, D.: How much assistance is helpful to students in discovery learning? In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 391–404. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04636-0_38

    Chapter  Google Scholar 

  18. Tao, P.K., Gunstone, R.F.: The process of conceptual change in force and motion during computer-supported physics instruction. J. Res. Sci. Teach. 36, 859–882 (1999)

    Article  Google Scholar 

  19. Gobert, J.D., Sao Pedro, M.A., Baker, R.S., Toto, E., Montalvo, O.: Leveraging educational data mining for real-time performance assessment of scientific inquiry skills within microworlds. J. Educ. Data Min. 4, 111–143 (2012)

    Google Scholar 

  20. Sao Pedro, M.: Real-Time Assessment, Prediction, and Scaffolding of Middle School Students’ Data Collection Skills Within Physical Science Simulations. Worcester Polytechnic Institute, Worcester (2013)

    Google Scholar 

  21. Sao Pedro, M., Baker, R., Gobert, J.: Incorporating scaffolding and tutor context into bayesian knowledge tracing to predict inquiry skill acquisition. In: Proceedings of the 6th International Conference on Educational Data Mining, pp. 185–192. EDM Society (2013)

    Google Scholar 

  22. Moussavi, R.: Design, Development, and Evaluation of Scaffolds for Data Interpretation Practices During Inquiry. Worcester Polytechnic Institute, Worcester (2018)

    Google Scholar 

  23. Moussavi, R., Gobert, J., Sao Pedro, M.: The effect of scaffolding on the immediate transfer of students’ data interpretation skills within science topics. In: Proceedings of the International Conference of the Learning Sciences, pp. 1002–1005. Scopus, Ipswich (2016)

    Google Scholar 

  24. Li, H., Gobert, J., Dickler, R.: Automated assessment for scientific explanations in on-line science inquiry. In: Hu, X., Barnes, T., Hershkovitz, A., Paquette, L. (eds.) Proceedings of the Conference on Educational Data Mining, pp. 214–219. EDM Society, Wuhan (2017)

    Google Scholar 

  25. Gobert, J.D., Baker, R.S., Sao Pedro, M.A.: Inquiry skills tutoring system. U.S. Patent No. 9,373,082. U.S. Patent and Trademark Office, Washington, DC (2016)

    Google Scholar 

  26. Anderson, J.R., Corbett, A.T., Koedinger, K.R., Pelletier, R.: Cognitive tutors: lessons learned. J. Learn. Sci. 4(2), 167–207 (1995)

    Article  Google Scholar 

  27. Koedinger, K.R., Corbett, A.: Cognitive tutors: technology bringing learning sciences to the classroom. In: The Cambridge Handbook of the Learning Sciences, pp. 61–77. Cambridge University Press, New York (2006)

    Google Scholar 

  28. de Jong, T.: Computer simulations: technological advances in inquiry learning. Science 312, 532–533 (2006)

    Article  Google Scholar 

  29. West, B.T., Welch, K.B., Galecki, A.T.: Linear mixed model. Chapman Hall/CRC, Boca Raton (2007)

    Google Scholar 

  30. Li, H., Gobert, J., Dickler, R., Moussavi, R.: The impact of multiple real-time scaffolding experiences on science inquiry practices. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds.) ITS 2018. LNCS, vol. 10858, pp. 99–109. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91464-0_10

    Chapter  Google Scholar 

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Correspondence to Haiying Li .

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Li, H., Gobert, J., Dickler, R. (2019). Evaluating the Transfer of Scaffolded Inquiry: What Sticks and Does It Last?. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_31

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_31

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