Learning online via prompts to explain

Joseph Jay Williams; Samuel G. Maldonado; Geza Kovacs; Tania Lombrozo; Caren Walker

doi:10.1145/2559206.2581351

Learning online via prompts to explain

Joseph Jay Williams, Samuel G. Maldonado, Geza Kovacs, Tania Lombrozo, Caren Walker

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

4 Scopus citations

Abstract

Prompting learners to explain their beliefs can help them correct misconceptions upon encountering anomalies - facts and observations that conflict with learners' current understanding. We have developed a way to augment online interfaces for learning by adding prompts for users to explain a fact or observation. We conducted two experiments testing the effects of these explanation prompts, finding that they increase learners' self-correction of misconceptions, though these benefits of explaining depend on: (1) How many anomalies the prompts require people to explain, and (2) Whether anomalies are distributed so that individual observations guide learners to correct ideas by conflicting with multiple misconceptions at once.

Original language	English (US)
Title of host publication	CHI EA 2014
Subtitle of host publication	One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
Pages	2269-2274
Number of pages	6
ISBN (Print)	9781450324748
DOIs	https://doi.org/10.1145/2559206.2581351
State	Published - 2014
Externally published	Yes
Event	32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 - Toronto, ON, Canada Duration: Apr 26 2014 → May 1 2014

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Other

Other	32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
Country/Territory	Canada
City	Toronto, ON
Period	4/26/14 → 5/1/14

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Keywords

Anomalies
Explanation
Generalization
Learning
Misconceptions
Self-explanation
Statistics

Access to Document

10.1145/2559206.2581351

Cite this

Williams, J. J., Maldonado, S. G., Kovacs, G., Lombrozo, T., & Walker, C. (2014). Learning online via prompts to explain. In CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems (pp. 2269-2274). (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/2559206.2581351

@inproceedings{39f6fb0bed344b23859fe3fe5f34fa9e,

title = "Learning online via prompts to explain",

abstract = "Prompting learners to explain their beliefs can help them correct misconceptions upon encountering anomalies - facts and observations that conflict with learners' current understanding. We have developed a way to augment online interfaces for learning by adding prompts for users to explain a fact or observation. We conducted two experiments testing the effects of these explanation prompts, finding that they increase learners' self-correction of misconceptions, though these benefits of explaining depend on: (1) How many anomalies the prompts require people to explain, and (2) Whether anomalies are distributed so that individual observations guide learners to correct ideas by conflicting with multiple misconceptions at once.",

keywords = "Anomalies, Explanation, Generalization, Learning, Misconceptions, Self-explanation, Statistics",

author = "Williams, {Joseph Jay} and Maldonado, {Samuel G.} and Geza Kovacs and Tania Lombrozo and Caren Walker",

year = "2014",

doi = "10.1145/2559206.2581351",

language = "English (US)",

isbn = "9781450324748",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

pages = "2269--2274",

booktitle = "CHI EA 2014",

}

Williams, JJ, Maldonado, SG, Kovacs, G, Lombrozo, T & Walker, C 2014, Learning online via prompts to explain. in CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, pp. 2269-2274, 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014, Toronto, ON, Canada, 4/26/14. https://doi.org/10.1145/2559206.2581351

Learning online via prompts to explain. / Williams, Joseph Jay; Maldonado, Samuel G.; Kovacs, Geza et al.
CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2014. p. 2269-2274 (Conference on Human Factors in Computing Systems - Proceedings).

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

TY - GEN

T1 - Learning online via prompts to explain

AU - Williams, Joseph Jay

AU - Maldonado, Samuel G.

AU - Kovacs, Geza

AU - Lombrozo, Tania

AU - Walker, Caren

PY - 2014

Y1 - 2014

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AB - Prompting learners to explain their beliefs can help them correct misconceptions upon encountering anomalies - facts and observations that conflict with learners' current understanding. We have developed a way to augment online interfaces for learning by adding prompts for users to explain a fact or observation. We conducted two experiments testing the effects of these explanation prompts, finding that they increase learners' self-correction of misconceptions, though these benefits of explaining depend on: (1) How many anomalies the prompts require people to explain, and (2) Whether anomalies are distributed so that individual observations guide learners to correct ideas by conflicting with multiple misconceptions at once.

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KW - Explanation

KW - Generalization

KW - Learning

KW - Misconceptions

KW - Self-explanation

KW - Statistics

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ER -

Learning online via prompts to explain

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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