SHACL-based Ontology Design Patterns for Evidence-based Decision-making

Autor: Verhaeg, Mario, Rutledge, L.W., Heeren, B.J.

Publikováno v: Proceedings of the 11th Workshop on Ontology Design and Patterns: WOP 2020, 51, 292-298
Verhaeg, M, Rutledge, L W & Heeren, B J 2021, SHACL-based Ontology Design Patterns for Evidence-based Decision-making . in Proceedings of the 11th Workshop on Ontology Design and Patterns : WOP 2020 . vol. 51, IOS Press, Studies on the Semantic Web, pp. 292-298, 11th Workshop on Ontology Design and Patterns, Athens, Greece, 1/11/20 . https://doi.org/10.3233/SSW210020

This work proposes an application of Semantic Web SHACL-defined constraints to detect premature information in decision-making. We frame these as ontology design patterns to facilitate domain experts in building Semantic Web-based ontologies for dete

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c05c2cc97aa2a9dcb303746bb12d8d83
https://research.ou.nl/en/publications/f1c79eb8-d817-4bd6-a8f6-01104ebc5f1e

Assessing the quality of evolving Haskell systems by measuring structural inequality

Autor: Kamps, Sander, Heeren, B.J., Jeuring, J.T., Dep Informatica, Sub Softw.Techn. for Learning and Teach., Afd Informatica Algemeen

Publikováno v: Haskell 2020: Proceedings of the 13th ACM SIGPLAN International Symposium on Haskell, 67. Association for Computing Machinery
STARTPAGE=67;TITLE=Haskell 2020: Proceedings of the 13th ACM SIGPLAN International Symposium on Haskell
Haskell 2020: Proceedings of the 13th ACM SIGPLAN International Symposium on Haskell
Haskell 2020
Haskell@ICFP
Kamps, S, Heeren, B & Jeuring, J 2020, Assessing the Quality of Evolving Haskell Systems by Measuring Structural Inequality . in Haskell 2020 : Proceedings of the 13th ACM SIGPLAN International Symposium on Haskell . Association for Computing Machinery, New York, NY, USA, pp. 67–79, ACM SIGPLAN International Conference on Functional Programming, United States, 23/08/20 . https://doi.org/10.1145/3406088.3409014

Software metrics are used to measure the quality of a software system, and to understand the evolution of the system's quality over time. In this paper we report on an empirical study that investigates whether structural degradation in Haskell system

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596f24a4b2aa8fe4e58952bcd48a51ff
https://dspace.library.uu.nl/handle/1874/414645

Intelligent feedback on hypothesis testing

Autor: Tacoma, S.G., Heeren, B.J., Jeuring, J.T., Drijvers, P.H.M.

Hypothesis testing involves a complex stepwise procedure that is challenging for many students in introductory university statistics courses. In this paper we assess how feedback from an Intelligent Tutoring System can address the logic of hypothesis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::c29cb6ca3fdebcbe5b46b2d765d0bcde
https://dspace.library.uu.nl/handle/1874/409225

The diagnosing behaviour of intelligent tutoring systems

Autor: van der Bent, Renate, Jeuring, J.T., Heeren, B.J., Scheffel, Maren, Broisin, Julien, Pammer-Schindler, Viktoria, Ioannou, Andri, Schneider, Jan

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030297350
EC-TEL
van der Bent, R, Jeuring, J T & Heeren, B J 2019, The diagnosing behaviour of intelligent tutoring systems . in M Scheffel, J Broisin, V Pammer-Schindler, A Ioannou & J Schneider (eds), Transforming Learning with Meaningful Technologies : 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019, Proceedings . Springer, Cham, Science of Computer Programming, vol. 11722, pp. 112-126, 14th European Conference on Technology Enhanced Learning, Delft, Netherlands, 16/09/19 . https://doi.org/10.1007/978-3-030-29736-7_9
Transforming Learning with Meaningful Technologies: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019, Proceedings, 112-126
STARTPAGE=112;ENDPAGE=126;TITLE=Transforming Learning with Meaningful Technologies

Intelligent Tutoring Systems (ITSs) determine the quality of student responses by means of a diagnostic process, and use this information for providing feedback and determining a student’s progress. This paper studies how ITSs diagnose student resp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6295d7352a38321a376ba6ada34a8c4c
https://doi.org/10.1007/978-3-030-29736-7_9

Automated feedback on the structure of hypothesis tests

Autor: Tacoma, S.G., Heeren, B.J., Jeuring, J.T., Drijvers, P.H.M., Isotani, S., Ogan, A., Hastings, P., McLaren, B., Luckin, R.

Hypothesis testing is a challenging topic for many students in introductory university statistics courses. In this paper we explore how automated feedback in an Intelligent Tutoring System can foster students’ ability to carry out hypothesis tests.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::539ec9349db9996d8fbd9600f7dda92b
https://dspace.library.uu.nl/handle/1874/382870