An Applied C Programming Exercise with Card Game Strategy and Analysis of Codes by a Grouping of Score and Code Metrics
| Autor: | Reo Ishii, Takeru Shimizu, Hiroyuki Tominaga |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject 05 social sciences k-means clustering 050301 education Machine learning computer.software_genre CONTEST 050105 experimental psychology Feature (machine learning) Game strategy 0501 psychology and cognitive sciences Quality (business) Support system Artificial intelligence business 0503 education computer Advice (complexity) media_common Code metrics |
| Zdroj: | TALE |
| Popis: | We have proposed an applied C exercise with the subjects of card game Poker strategy. We have operated contest management server WinT and provided execution environment. Learners implement their strategies aiming efficient poker’s hands of cards with estimating of remaining deck and weighted rate. In this paper, we consider a method of personalizing advice for students. For this purpose, we use the K-means method to group students, analyze the feature of each group, and consider feedback strategy. We aim to reduce the burden on teachers and TAs and provide higher quality advice by the support system automatically performing this method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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