A-Learn EvId: A Method for Identifying Evidence of Computer Programming Skills Through Automatic Source Code Assessment

Contextualized in the teaching of computer programming Computing courses, this research investigates aspects and strategies for automatic source code assessment. Continuous on-time assessment codes produced by students is a challenging task teachers. The literature presents different methods code, mostly focusing on technical aspects, such as functional correctness error detection. This paper A-Learn EvId method, having main characteristic its focus high-level skills instead aspects. Automatically assessing gives insights into thought process used to elaborate their responses, contributing quality timely feedback generation. method characterized three fundamental steps: (1) inserting students' input data; (2) identifying evidence through strategies; (3) representing identified student model. following contributions are highlighted: updating state art topic; set 37 identifiable 9 construction datasets totaling 8651 codes.