Abstract
More and more K-12 schools are paying attention to the training of Computational Thinking. A considerable amount of K-12 use blocked-based visual programming platforms such as Scratch, App Inventor, Alice and etc. MIT App Inventor is one of the more popular mobile application visualization programming platforms. Visual programming is based on the 'You see what you get' doctrine. Its simplicity and ease of use coheres with K-12 teaching principles and allows students to access to computational thinking without the burden of learning Coding grammar. Recently App Inventor is gaining momentum and traction in China at a very high speed and is expected to grow even faster in the future. Teachers using App Inventor for teaching face the problem of having to go through a very high number of App Inventor apps without any way to catalogue them. The 2017 Google App Inventor Competition alone received over 1300 entries. This article aims to devise an automated scoring method based on TF-IDF and clustering to help teachers evaluate App Inventor apps, thus greatly reducing their workload. Evaluating the method gives us an 75.42% with space for further improvement in the future.
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