Real-time feedback learning system based on programming logs analysis

With the development and growth of information technology computational thinking has become a crucial skill. Therefore, using programming courses is a common way of training students in computational skills; however, students usually have poor academic performance when it comes to programming courses. The main reason is that they do not have enough background knowledge to recognize compiler messages, which makes it difficult for them to learn these courses. Therefore, this study developed a Real-Time Feedback Learning System (RTFLS) to help students learn programming. The proposed system integrates a real-time module, a search module, and a push technology module. Therefore, when students practice programming, the RTFLS can monitor their compiler messages, filter and parse them while searching for reference resources and their instant response messages on the Internet. Although the RTFLS has a positive impact on the students’ learning performances there are some problems with low relevance in the response messages of the RTFLS. This is because certain compiler messages do not appear in the programming syntax, but can cause errors. Therefore, in some cases, the RTFLS cannot effectively provide highly-relevant response messages.