Work

Adaptive structure metrics for automated feedback provision in Java programming

Year: 2015

Type: conference-paper

Abstract: Today's learning supporting systems for programming mostly rely on pre-coded feedback provision, such that their applicability is restricted to modelled tasks. In this contribution, we investigate the suitability of machine learning techniques to automate this process by means of a presentationm of similar solution strategies from a set of stored examples.\nTo this end we apply structure metric learning methods in local and global alignment which can be used to compare Java programs.\nWe demonstrate that automatically adapted metrics better identify the underlying programming strategy as compared to their default counterparts in a benchmark example from programming.

Source: PUB – Publications at Bielefeld University (Bielefeld University)

Authors: Benjamin Paaßen, Bassam Mokbel, Barbara Hammer

Institution: Bielefeld University

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Award: G2330005221