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Robomission

Publisher Github
Description Block-based environments are today commonly used for introductory programming activities like those that are part of the Hour of Code campaign, which reaches millions of students. These activities typically consist of a static series of problems. Our aim is to make this type of activities more efficient by incorporating adaptive behavior. In this work, we discuss steps towards this goal, specifically a proposal and implementation of a programming game that supports both elementary problems and interesting programming challenges and thus provides an environment for meaningful adaptation. We also discuss methods of adaptivity and the issue of evaluating student performance while solving a problem.
Resource Type URL
Data Type Programming
Creator Adaptive Learning Group at Masaryk University
Availability open
Rights 0
Programming Language Block-based programming
Data Protection Anonymized
Country Czech Republic
Educational Institution Masaryk University
Aggregation Yes
Aggregation Level Snapshots
Related Publication @inproceedings{10.1145/3231644.3231670, author = {Effenberger, Tom\'{a}\v{s} and Pel\'{a}nek, Radek}, title = {Towards making block-based programming activities adaptive}, year = {2018}, isbn = {9781450358866}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3231644.3231670}, doi = {10.1145/3231644.3231670}, abstract = {Block-based environments are today commonly used for introductory programming activities like those that are part of the Hour of Code campaign, which reaches millions of students. These activities typically consist of a static series of problems. Our aim is to make this type of activities more efficient by incorporating adaptive behavior. In this work, we discuss steps towards this goal, specifically a proposal and implementation of a programming game that supports both elementary problems and interesting programming challenges and thus provides an environment for meaningful adaptation. We also discuss methods of adaptivity and the issue of evaluating student performance while solving a problem.}, booktitle = {Proceedings of the Fifth Annual ACM Conference on Learning at Scale}, articleno = {13}, numpages = {4}, location = {London, United Kingdom}, series = {L@S '18} }
Research Question 0
Future Work 0
Fairness Score Total score: 27% (initial) Findability: 2.5 of 7 Accessibility: 1 of 3 Interoperability: 0 of 4 Reusability: 3 of 10
ResourceOpen Dataset