EFFENBERGER, Tomáš. Towards Adaptive Hour of Code. Online. In Isotani S., Millán E., Ogan A., Hastings P., McLaren B., Luckin R. International Conference on Artificial Intelligence in Education. Cham: Springer, 2019, p. 339-343. ISBN 978-3-030-23206-1. Available from: https://dx.doi.org/10.1007/978-3-030-23207-8_62.
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Basic information
Original name Towards Adaptive Hour of Code
Authors EFFENBERGER, Tomáš (203 Czech Republic, guarantor, belonging to the institution).
Edition Cham, International Conference on Artificial Intelligence in Education, p. 339-343, 5 pp. 2019.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Plný text článku
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/19:00110497
Organization unit Faculty of Informatics
ISBN 978-3-030-23206-1
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-23207-8_62
UT WoS 000495603500062
Keywords in English introductory programming; adaptive learning; student modeling; intelligent tutoring systems
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 3/5/2020 12:49.
Abstract
Hour of Code activities became a de facto standard for the first encounter with programming, reaching millions of children every year. These activities are typically not personalized and offer the same sequence of tasks to everybody, which leads to too slow pace for some students, while too fast for others. We aim to improve upon the current state of the art in teaching introductory programming by providing insight into how adaptive learning techniques can make the Hour of Code activities more efficient and engaging.
Links
MUNI/A/1018/2018, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.
Investor: Masaryk University, Category A
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