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 a Radek PELÁNEK

Základní údaje

Originální název

Evaluation of an Adaptive Practice System for Learning Geography Facts

Autoři

PAPOUŠEK, Jan; Vít STANISLAV a Radek PELÁNEK

Vydání

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

Nakladatel

ACM

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/16:00090423

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4503-4190-5

Klíčová slova anglicky

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

Štítky

firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 5. 2020 19:17, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Návaznosti

MUNI/A/0935/2015, interní kód MU

Název: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Akronym: SKOMU)

Investor: Masarykova univerzita, Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

MUNI/A/0945/2015, interní kód MU

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

Investor: Masarykova univerzita, Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V., DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

PAPOUŠEK, Jan; Vít STANISLAV a 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, s. 134-142. ISBN 978-1-4503-4190-5. Dostupné z: https://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 = {https://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  - CONF
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 a 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, s.~134-142. ISBN~978-1-4503-4190-5. Dostupné z: https://doi.org/10.1145/2883851.2883884.

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