Enhancing Feedback to Students in Automated Diagram Assessment

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Correia, H (Author) Other; José Paulo Leal (Author) FCUP; Paiva, JC (Author) Other

Conference proceedings International

Title: SLATE

Pages: 11:1-11:8

6th Symposium on Languages, Applications and Technologies, SLATE 2017

26 June 2017 through 27 June 2017

Indexing

Scopus - 5 Citations

Other information

Authenticus ID: P-00N-6SV

DOI: 10.4230/oasics.slate.2017.11

Abstract (EN): Automated assessment is an essential part of eLearning. Although comparatively easy for multiple choice questions (MCQs), automated assessment is more challenging when exercises involve languages used in computer science. In this particular case, the assessment is more than just grading and must include feedback that leads to the improvement of the students¿ performance. This paper presents ongoing work to develop Kora, an automated diagram assessment tool with enhanced feedback, targeted to the multiple diagrammatic languages used in computer science. Kora builds on the experience gained with previous research, namely: a diagram assessment tool to compute di erences between graphs; an IDE inspired web learning environment for computer science languages; and an extensible web diagram editor. Kora has several features to enhance feedback: it distinguishes syntactic and semantic errors, providing specialized feedback in each case; it provides progressive feedback disclosure, controlling the quality and quantity shown to each student after a submission; when possible, it integrates feedback within the diagram editor showing actual nodes and edges on the editor itself. © Hélder Correia, José Paulo Leal, and José Carlos Paiva

Language: English

Type (Professor's evaluation): Scientific