Analysis and design of mastery learning criteria

J 2018

Analysis and design of mastery learning criteria

PELÁNEK, Radek and Jiří ŘIHÁK

Basic information

Original name

Analysis and design of mastery learning criteria

Authors

PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution) and Jiří ŘIHÁK (203 Czech Republic, belonging to the institution)

Edition

New Review of Hypermedia and Multimedia, Taylor & Francis, 2018, 1361-4568

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 0.867

RIV identification code

RIV/00216224:14330/18:00104014

Organization unit

Faculty of Informatics

DOI

http://dx.doi.org/10.1080/13614568.2018.1476596

UT WoS

000449776300002

Keywords in English

mastery learning; learner modelling; Bayesian knowledge tracing; exponential moving average

Abstract

V originále

A common personalisation approach in educational systems is mastery learning. A key step in this approach is a criterion that determines whether a learner has already achieved mastery. We thoroughly analyse several mastery criteria for the basic case of a single well-specified knowledge component. For the analysis we use experiments with both simulated and real data. The results show that the choice of data sources used for mastery decision and the setting of thresholds are more important than the choice of a learner modelling technique. We argue that a simple exponential moving average method is a suitable technique for mastery criterion and discuss techniques for the choice of a mastery threshold. We also propose an extension of the exponential moving average method that takes into account practical aspects like time intensity of items and we report on a practical application of this mastery criterion in a widely used educational system.

Links

MUNI/A/0854/2017, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.

Investor: Masaryk University, Category A

Citovat

PELÁNEK, Radek and Jiří ŘIHÁK. Analysis and design of mastery learning criteria. New Review of Hypermedia and Multimedia. Taylor & Francis, 2018, vol. 24, No 3, p. 133-159. ISSN 1361-4568. Available from: https://dx.doi.org/10.1080/13614568.2018.1476596.

@article{1448676,
   author = {Pelánek, Radek and Řihák, Jiří},
   article_number = {3},
   doi = {http://dx.doi.org/10.1080/13614568.2018.1476596},
   keywords = {mastery learning; learner modelling; Bayesian knowledge tracing; exponential moving average},
   language = {eng},
   issn = {1361-4568},
   journal = {New Review of Hypermedia and Multimedia},
   title = {Analysis and design of mastery learning criteria},
   volume = {24},
   year = {2018}
}

TY  - JOUR
ID  - 1448676
AU  - Pelánek, Radek - Řihák, Jiří
PY  - 2018
TI  - Analysis and design of mastery learning criteria
JF  - New Review of Hypermedia and Multimedia
VL  - 24
IS  - 3
SP  - 133-159
EP  - 133-159
PB  - Taylor & Francis
SN  - 13614568
KW  - mastery learning
KW  - learner modelling
KW  - Bayesian knowledge tracing
KW  - exponential moving average
N2  - A common personalisation approach in educational systems is mastery learning. A key step in this approach is a criterion that determines whether a learner has already achieved mastery. We thoroughly analyse several mastery criteria for the basic case of a single well-specified knowledge component. For the analysis we use experiments with both simulated and real data. The results show that the choice of data sources used for mastery decision and the setting of thresholds are more important than the choice of a learner modelling technique. We argue that a simple exponential moving average method is a suitable technique for mastery criterion and discuss techniques for the choice of a mastery threshold. We also propose an extension of the exponential moving average method that takes into account practical aspects like time intensity of items and we report on a practical application of this mastery criterion in a widely used educational system.
ER  -

PELÁNEK, Radek and Jiří ŘIHÁK. Analysis and design of mastery learning criteria. \textit{New Review of Hypermedia and Multimedia}. Taylor \&{} Francis, 2018, vol.~24, No~3, p.~133-159. ISSN~1361-4568. Available from: https://dx.doi.org/10.1080/13614568.2018.1476596.

Detailed Information on Publication Record