loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Maria De Marsico ; Andrea Sterbini and Marco Temperini

Affiliation: Sapienza University, Italy

Keyword(s): Peer Assessment, OpenAnswer Questions, Automatic Grade Prediction.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; Learning/Teaching Methodologies and Assessment

Abstract: In this paper we experimentally investigate the influence of several factors on the final performance of an automatic grade prediction system based on teacher-mediated peer assessment. Experiments are carried out by OpenAnswer, a system designed for peer assessment of open-ended questions. It exploits a Bayesian Network to model the students’ learning state and the propagation of information injected in the system by peer grades and by a (partial) grading from the teacher. The relevant variables are characterized by a probability distribution (PD) of their discrete values. We aim at analysing the influence of the initial set up of the PD of these variables on the ability of the system to predict a reliable grade for answers not yet graded by the teacher. We investigate here the influence of the initial choice of the PD for the student’s knowledge (K), especially when we have no information on the class proficiency on the examined skills, and of the PD of the correctness of student’s answers, conditioned by her knowledge, P(C|K). The latter is expressed through different Conditional Probability Tables (CPTs), in turn, to identify the one allowing to achieve the best final results. Moreover we test different strategies to map the final PD for the correctness (C) of an answer, namely the grade that will be returned to the student, onto a single discrete value. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.224.124.217

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
De Marsico, M.; Sterbini, A. and Temperini, M. (2016). An Analysis of Factors Affecting Automatic Assessment based on Teacher-mediated Peer Evaluation - The Case of OpenAnswer. In Proceedings of the 8th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-179-3; ISSN 2184-5026, SciTePress, pages 49-61. DOI: 10.5220/0005863200490061

@conference{csedu16,
author={Maria {De Marsico}. and Andrea Sterbini. and Marco Temperini.},
title={An Analysis of Factors Affecting Automatic Assessment based on Teacher-mediated Peer Evaluation - The Case of OpenAnswer},
booktitle={Proceedings of the 8th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2016},
pages={49-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005863200490061},
isbn={978-989-758-179-3},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - An Analysis of Factors Affecting Automatic Assessment based on Teacher-mediated Peer Evaluation - The Case of OpenAnswer
SN - 978-989-758-179-3
IS - 2184-5026
AU - De Marsico, M.
AU - Sterbini, A.
AU - Temperini, M.
PY - 2016
SP - 49
EP - 61
DO - 10.5220/0005863200490061
PB - SciTePress