Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kaja Zupanc"'
Autor:
Kaja Zupanc, Erik Štrumbelj
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0195297 (2018)
We propose a novel approach to modelling rater effects in scoring-based assessment. The approach is based on a Bayesian hierarchical model and simulations from the posterior distribution. We apply it to large-scale essay assessment data over a period
Externí odkaz:
https://doaj.org/article/63a3882e2dea4652aa6a11aeb5281760
Autor:
Zoran Bosnić, Kaja Zupanc
Publikováno v:
Fundamenta Informaticae. 172:239-259
Autor:
Zoran Bosnić, Kaja Zupanc
Publikováno v:
Knowledge-Based Systems. 120:118-132
Essays are considered as the most useful tool to assess learning outcomes, guide students' learning process and to measure their progress. Manual grading of students' essays is a time-consuming process, but is nevertheless necessary. Automated essay
Autor:
Kaja Zupanc, Zoran Bosnić
Publikováno v:
WIMS
Automated essay evaluation is a widely used practical solution for replacing time-consuming manual grading of student essays. Automated systems are used in combination with human graders in different high-stake assessments, where grading models are l
Autor:
Kaja Zupanc, Jesse Davis
Publikováno v:
WWW
Currently, there are many large, automatically constructed knowledge bases (KBs). One interesting task is learning from a knowledge base to generate new knowledge either in the form of inferred facts or rules that define regularities. One challenge f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef5a4c77b6671eb921926cfc09d065ae
https://lirias.kuleuven.be/handle/123456789/615590
https://lirias.kuleuven.be/handle/123456789/615590
Publikováno v:
CompSysTech
The main weakness of automated essay evaluation systems is their predominant focus on vocabulary and text syntax, while consideration of text semantics is often neglected. In this work, we propose several new attributes for measuring coherence and co
Autor:
Erik Štrumbelj, Kaja Zupanc
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 4, p e0195297 (2018)
PLoS ONE, Vol 13, Iss 4, p e0195297 (2018)
We propose a novel approach to modelling rater effects in scoring-based assessment. The approach is based on a Bayesian hierarchical model and simulations from the posterior distribution. We apply it to large-scale essay assessment data over a period
Publikováno v:
MECO
The field of mobile learning is in the process of rapid growth. While we can easily identify characteristics, which separate mobile learning from other forms of learning, a review of the academic field yielded few accepted standards, frameworks and s
Autor:
Zoran Bosnić, Kaja Zupanc
Publikováno v:
ICDM
Manual grading of students' essays is a time-consuming, labor-intensive and expensive activity for educational institutions. It is nevertheless necessary since essays are considered to be the most useful tool to assess learning outcomes. Automated es