Modeling and Predicting Students Problem Solving Times
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057329" target="_blank" >RIV/00216224:14330/12:00057329 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-27660-6_52" target="_blank" >http://dx.doi.org/10.1007/978-3-642-27660-6_52</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-27660-6_52" target="_blank" >10.1007/978-3-642-27660-6_52</a>
Alternative languages
Result language
angličtina
Original language name
Modeling and Predicting Students Problem Solving Times
Original language description
Artificial intelligence and data mining techniques offer a chance to make education tailored to every student. One of possible contributions of automated techniques is a selection of suitable problems for individual students based on previously collecteddata. To achieve this goal, we propose a model of problem solving times, which predicts how much time will a particular student need to solve a given problem. Our model is an analogy of the models used in the item response theory, but instead of probability of a correct answer, we model problem solving time. We also introduce a web-based problem solving tutor, which uses the model to make adaptive predictions and recommends problems of suitable difficulty. The system already collected extensive data onhuman problem solving. Using this dataset we evaluate the model and discuss an insight gained by an analysis of model parameters.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GAP202%2F10%2F0334" target="_blank" >GAP202/10/0334: Solving Difficult Well-Structured Problems: Human-Computer Collaboration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 38th International Conference on Current Trends in Theory and Practice of Computer Science
ISBN
9783642276590
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
637-648
Publisher name
Springer
Place of publication
Czech republic
Event location
Spindleruv mlyn
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000307258500052