When is assistance helpful to learning? Results in combining worked examples and intelligent tutoring

14Citations
Citations of this article
38Readers
Mendeley users who have this article in their library.
Get full text

Abstract

When should instruction provide or withhold assistance? In three empirical studies, we have investigated whether worked examples, a high-assistance approach, studied in conjunction with tutored problems to be solved, a mid-level assistance approach, can lead to better learning. Contrary to prior results with untutored problem solving, a low-assistance approach, we found that worked examples alternating with isomorphic tutored problems did not produce more learning gains than tutored problems alone. However, the examples group across the three studies learned more efficiently than the tutored-alone group. Our studies, in conjunction with past studies, suggest that mid-level assistance leads to better learning than either lower or higher level assistance. However, while our results are illuminating, more work is needed to develop predictive theory for what combinations of assistance yield the most effective and efficient learning. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

McLaren, B. M., Lim, S. J., & Koedinger, K. R. (2008). When is assistance helpful to learning? Results in combining worked examples and intelligent tutoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5091 LNCS, pp. 677–680). Springer Verlag. https://doi.org/10.1007/978-3-540-69132-7_75

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free