IRIS Institutional Research Information System - AIR Archivio Istituzionale della Ricerca
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.
AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.
EnglishComputing learners may not master basic concepts, or forget them between courses or from infrequent use. Learners also often struggle with advanced computing courses, perhaps from weakness with prerequisite concepts. One underlying challenge for researchers and instructors is determining the reason why a learner gets an advanced question wrong. Was the wrong answer because the learner lacked prerequisite skills, has not mastered the advanced skill, or some combination of the two? We contribute a design investigation into how to create differentiated questions which diagnose prerequisite and advanced skills at the same time. We focused on tracing and related skills as prerequisites, and on advanced object-oriented programming, concurrency, algorithm and data structures as the advanced skills. We conducted an inductive qualitative analysis of existing assessment questions from instructors and from a concept inventory with a validity argument (the Basic Data Structures Inventory). We found dependencies on a variety of prerequisite knowledge and mixed potential for diagnosing difficulties with prerequisites. Inspired by this analysis, we developed examples of differentiated assessments and reflected on design principles for creating/modifying assessments to better assess both advanced and prerequisite skills. Our example differentiated assessment questions and methods help enable research into how prerequisites skills affect learning of advanced concepts. They also may help instructors better understand and help learners with varying prerequisite knowledge, which may improve equity of learning outcomes. Our work also raises theoretical questions about what assessments really assess and how separate advanced topics and prerequisite skills are.
Differentiated Assessments for Advanced Courses that Reveal Issues with Prerequisite Skills: a Design Investigation / G.L. Nelson, F. Strömbäck, A. Korhonen, M. Begum, B. Blamey, K.H. Jin, V. Lonati, B. MacKellar, M. Monga - In: ITiCSE-WGR '20: Proceedings / [a cura di] M. Giannakos, G. Sindre. - [s.l] : ACM, 2020 Dec. - ISBN 9781450382939. - pp. 75-129 (( Intervento presentato al 25. convegno Innovation and Technology in Computer Science Education tenutosi a Trondheim nel 2020.
| Titolo: | Differentiated Assessments for Advanced Courses that Reveal Issues with Prerequisite Skills: a Design Investigation | |
| Autori: | ||
| Parole Chiave: | computer science education; assessment; prerequisite skills; concurrency; data structures and algorithms; advanced object-oriented programming; tracing; educational design research; differentiated assessment | |
| Settore Scientifico Disciplinare: | Settore INF/01 - Informatica | |
| Data di pubblicazione: | dic-2020 | |
| Enti collegati al convegno: | ACM | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1145/3437800.3439204 | |
| Tipologia: | Book Part (author) | |
| Appare nelle tipologie: | 03 - Contributo in volume |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| main.pdf | Post-print, accepted manuscript ecc. (versione accettata dall'editore) | Open Access Visualizza/Apri |
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