Erroneous examples as desirable difficulty

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Erroneous examples as desirable difficulty. / Adams, Deanne M.; McLaren, Bruce M.; Mayer, Richard E. et al.
Artificial Intelligence in Education: 16th international conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013 ; proceedings. Hrsg. / H.C. Lane; K. Yacef; J. Mostow; P. Pavlik. Berlin: Springer, 2013. S. 803-806 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 7926 LNAI).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Adams, DM, McLaren, BM, Mayer, RE, Goguadze, G & Isotani, S 2013, Erroneous examples as desirable difficulty. in HC Lane, K Yacef, J Mostow & P Pavlik (Hrsg.), Artificial Intelligence in Education: 16th international conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013 ; proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 7926 LNAI, Springer, Berlin, S. 803-806, 16th International Conference on Artificial Intelligence in Education - AIED 2013, Memphis, USA / Vereinigte Staaten, 09.07.13. https://doi.org/10.1007/978-3-642-39112-5_117

APA

Adams, D. M., McLaren, B. M., Mayer, R. E., Goguadze, G., & Isotani, S. (2013). Erroneous examples as desirable difficulty. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Hrsg.), Artificial Intelligence in Education: 16th international conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013 ; proceedings (S. 803-806). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 7926 LNAI). Springer. https://doi.org/10.1007/978-3-642-39112-5_117

Vancouver

Adams DM, McLaren BM, Mayer RE, Goguadze G, Isotani S. Erroneous examples as desirable difficulty. in Lane HC, Yacef K, Mostow J, Pavlik P, Hrsg., Artificial Intelligence in Education: 16th international conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013 ; proceedings. Berlin: Springer. 2013. S. 803-806. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39112-5_117

Bibtex

@inbook{29a8aa262d984e3c88021067fbdacd6e,
title = "Erroneous examples as desirable difficulty",
abstract = "Erroneous examples, an unusual and challenging form of learning material, are arguably a type of desirable difficulty for students that could lead to deeper learning. In a series of studies we have done over the past three years involving web-based math instruction, the learning benefits of erroneous examples we have observed occured on delayed tests, as occurs in the desirable difficulties literature. This short paper briefly reviews the literature, summarizes our results, and speculates on how an adaptive version of our materials could better leverage desirable difficulties theory and lead to deeper student learning.",
keywords = "Mathematics, Adaptation of problems, Decimals, Erroneous examples, Interactive problem solving, Mathematics education, Self-explanation",
author = "Adams, {Deanne M.} and McLaren, {Bruce M.} and Mayer, {Richard E.} and George Goguadze and Seiji Isotani",
year = "2013",
doi = "10.1007/978-3-642-39112-5_117",
language = "English",
isbn = "978-3-642-39111-8",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "803--806",
editor = "H.C. Lane and K. Yacef and J. Mostow and P. Pavlik",
booktitle = "Artificial Intelligence in Education",
address = "Germany",
note = "16th International Conference on Artificial Intelligence in Education - AIED 2013, AIED Conference 2013 ; Conference date: 09-07-2013 Through 13-07-2013",
url = "https://sites.google.com/a/iis.memphis.edu/aied-2013-conference/",

}

RIS

TY - CHAP

T1 - Erroneous examples as desirable difficulty

AU - Adams, Deanne M.

AU - McLaren, Bruce M.

AU - Mayer, Richard E.

AU - Goguadze, George

AU - Isotani, Seiji

N1 - Conference code: 16

PY - 2013

Y1 - 2013

N2 - Erroneous examples, an unusual and challenging form of learning material, are arguably a type of desirable difficulty for students that could lead to deeper learning. In a series of studies we have done over the past three years involving web-based math instruction, the learning benefits of erroneous examples we have observed occured on delayed tests, as occurs in the desirable difficulties literature. This short paper briefly reviews the literature, summarizes our results, and speculates on how an adaptive version of our materials could better leverage desirable difficulties theory and lead to deeper student learning.

AB - Erroneous examples, an unusual and challenging form of learning material, are arguably a type of desirable difficulty for students that could lead to deeper learning. In a series of studies we have done over the past three years involving web-based math instruction, the learning benefits of erroneous examples we have observed occured on delayed tests, as occurs in the desirable difficulties literature. This short paper briefly reviews the literature, summarizes our results, and speculates on how an adaptive version of our materials could better leverage desirable difficulties theory and lead to deeper student learning.

KW - Mathematics

KW - Adaptation of problems

KW - Decimals

KW - Erroneous examples

KW - Interactive problem solving

KW - Mathematics education

KW - Self-explanation

UR - http://www.scopus.com/inward/record.url?scp=84880034888&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39112-5_117

DO - 10.1007/978-3-642-39112-5_117

M3 - Article in conference proceedings

AN - SCOPUS:84880034888

SN - 978-3-642-39111-8

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 803

EP - 806

BT - Artificial Intelligence in Education

A2 - Lane, H.C.

A2 - Yacef, K.

A2 - Mostow, J.

A2 - Pavlik, P.

PB - Springer

CY - Berlin

T2 - 16th International Conference on Artificial Intelligence in Education - AIED 2013

Y2 - 9 July 2013 through 13 July 2013

ER -

DOI

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