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Autor/inn/enVittorini, Pierpaolo; Menini, Stefano; Tonelli, Sara
TitelAn AI-Based System for Formative and Summative Assessment in Data Science Courses
QuelleIn: International Journal of Artificial Intelligence in Education, 31 (2021) 2, S.159-185 (27 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Vittorini, Pierpaolo)
ORCID (Menini, Stefano)
ORCID (Tonelli, Sara)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1560-4292
DOI10.1007/s40593-020-00230-2
SchlagwörterArtificial Intelligence; Formative Evaluation; Summative Evaluation; Data; Data Analysis; Interdisciplinary Approach; Online Courses; Automation; Grading; Assignments; Natural Language Processing; Error Correction; Feedback (Response); Usability; Grades (Scholastic); Computer Assisted Testing
AbstractMassive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper reports on a system and related experiments finalised to improve both the performance and quality of formative and summative assessments in specific data science courses. The system is developed to automatically grade assignments composed of R commands commented with short sentences written in natural language. In our opinion, the use of the system can: (1) shorten the correction times and reduce the possibility of errors; and (2) support the students while solving the exercises assigned during the course through automated feedback. To investigate these aims, an ad-hoc experiment was conducted in three courses containing the specific topic of statistical analysis of health data. Our evaluation demonstrated that automated grading has an acceptable correlation with human grading. Furthermore, the students who used the tool did not report usability issues, and those that used it for more than half of the exercises obtained (on average) higher grades in the exam. Finally, the use of the system reduced the correction time and assisted the professor in identifying correction errors. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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