CITATION.cff

cff-version: 1.2.0
title: Athena
message: >-
  If you want to reference Athena in your work, please cite
  this article.
type: software
authors:
  - given-names: Jan Philip
    family-names: Bernius
    email: janphilip.bernius@tum.de
    affiliation: Technical University of Munich
    orcid: 'https://orcid.org/0000-0001-8278-4598'
repository-code: 'https://github.com/ls1intum/Athena'
abstract: >-
  The Athena system generates and suggests computer-aided
  feedback for textual exercises based on machine learning.
  Athena utilizes a segment-based grading concept, which
  links feedback to text segments. Athena automates grading
  based on topic modeling and an assessment knowledge
  repository acquired during previous assessments. A
  language model builds an intermediate representation of
  the text segments. Hierarchical clustering identifies
  groups of similar text segments to reduce the grading
  overhead.
keywords:
  - Software engineering
  - Education
  - Interactive learning
  - Automatic assessment
  - Grading
  - Assessment support system
  - Learning
  - Feedback
license: MIT
preferred-citation:
  type: article
  authors:
  - given-names: Jan Philip
    family-names: Bernius
    email: janphilip.bernius@tum.de
    affiliation: Technical University of Munich
    orcid: 'https://orcid.org/0000-0001-8278-4598'
  - given-names: Stephan
    family-names: Krusche
    email: krusche@in.tum.de
    affiliation: Technical University of Munich
    orcid: 'https://orcid.org/0000-0002-4552-644X'
  - given-names: Bernd
    family-names: Bruegge
    email: bernd.bruegge@tum.de
    affiliation: Technical University of Munich
    orcid: 'https://orcid.org/0000-0001-8331-0490'
  doi: "10.1016/j.caeai.2022.100081"
  journal: "Computers and Education: Artificial Intelligence"
  title: "Machine learning based feedback on textual student answers in large courses"
  volume: 3
  year: 2022