Evaluation of an Adaptive Practice System for Learning
Geography Facts

D 2016

Evaluation of an Adaptive Practice System for Learning Geography Facts

PAPOUŠEK, Jan, Vít STANISLAV and Radek PELÁNEK

Basic information

Original name

Evaluation of an Adaptive Practice System for Learning Geography Facts

Authors

PAPOUŠEK, Jan (203 Czech Republic, belonging to the institution), Vít STANISLAV (203 Czech Republic, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Edinburgh, United Kingdom, Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, p. 134-142, 9 pp. 2016

Publisher

ACM

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14330/16:00090423

Organization unit

Faculty of Informatics

ISBN

978-1-4503-4190-5

DOI

http://dx.doi.org/10.1145/2883851.2883884

UT WoS

000390844700017

Keywords in English

attrition bias; computerized adaptive practice; engagement; evaluation; learning curve; survival analysis

Abstract

V originále

Computerized educational systems are increasingly provided as open online services which provide adaptive personalized learning experience. To fully exploit potential of such systems, it is necessary to thoroughly evaluate different design choices. However, both openness and adaptivity make proper evaluation difficult. We provide a detailed report on evaluation of an online system for adaptive practice of geography, and use this case study to highlight methodological issues with evaluation of open online learning systems, particularly attrition bias. To facilitate evaluation of learning, we propose to use randomized reference questions. We illustrate application of survival analysis and learning curves for declarative knowledge. The result provide an interesting insight into the impact of adaptivity on learner behaviour and learning.

Links

MUNI/A/0935/2015, interní kód MU

Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)

Investor: Masaryk University, Category A

MUNI/A/0945/2015, interní kód MU

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

Investor: Masaryk University, Category A

Citovat

PAPOUŠEK, Jan, Vít STANISLAV and Radek PELÁNEK. Evaluation of an Adaptive Practice System for Learning Geography Facts. Online. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge. Edinburgh, United Kingdom: ACM, 2016, p. 134-142. ISBN 978-1-4503-4190-5. Available from: https://dx.doi.org/10.1145/2883851.2883884.

@inproceedings{1350108,
   author = {Papoušek, Jan and Stanislav, Vít and Pelánek, Radek},
   address = {Edinburgh, United Kingdom},
   booktitle = {Proceedings of the Sixth International Conference on Learning Analytics & Knowledge},
   doi = {http://dx.doi.org/10.1145/2883851.2883884},
   keywords = {attrition bias; computerized adaptive practice; engagement; evaluation; learning curve; survival analysis},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Edinburgh, United Kingdom},
   isbn = {978-1-4503-4190-5},
   pages = {134-142},
   publisher = {ACM},
   title = {Evaluation of an Adaptive Practice System for Learning Geography Facts},
   url = {http://doi.acm.org/10.1145/2883851.2883884},
   year = {2016}
}

TY  - JOUR
ID  - 1350108
AU  - Papoušek, Jan - Stanislav, Vít - Pelánek, Radek
PY  - 2016
TI  - Evaluation of an Adaptive Practice System for Learning Geography Facts
PB  - ACM
CY  - Edinburgh, United Kingdom
SN  - 9781450341905
KW  - attrition bias
KW  - computerized adaptive practice
KW  - engagement
KW  - evaluation
KW  - learning curve
KW  - survival analysis
UR  - http://doi.acm.org/10.1145/2883851.2883884
N2  - Computerized educational systems are increasingly provided as open online services which provide adaptive personalized learning experience. To fully exploit potential of such systems, it is necessary to thoroughly evaluate different design choices. However, both openness and adaptivity make proper evaluation difficult. We provide a detailed report on evaluation of an online system for adaptive practice of geography, and use this case study to highlight methodological issues with evaluation of open online learning systems, particularly attrition bias. To facilitate evaluation of learning, we propose to use randomized reference questions. We illustrate application of survival analysis and learning curves for declarative knowledge. The result provide an interesting insight into the impact of adaptivity on learner behaviour and learning.
ER  -

PAPOUŠEK, Jan, Vít STANISLAV and Radek PELÁNEK. Evaluation of an Adaptive Practice System for Learning Geography Facts. Online. In \textit{Proceedings of the Sixth International Conference on Learning Analytics \&{} Knowledge}. Edinburgh, United Kingdom: ACM, 2016, p.~134-142. ISBN~978-1-4503-4190-5. Available from: https://dx.doi.org/10.1145/2883851.2883884.

Detailed Information on Publication Record