@inproceedings{10f2e3cab50d41e2940cfef0bd3532f7,
title = "BDSI: A validated concept inventory for basic data structures",
abstract = "A Concept Inventory (CI) is a validated assessment to measure student conceptual understanding of a particular topic. This work presents a CI for Basic Data Structures (BDSI) and the process by which the CI was designed and validated. We discuss: 1) the collection of faculty opinions from diverse institutions on what belongs on the instrument, 2) a series of interviews with students to identify their conceptions and misconceptions of the content, 3) an iterative design process of developing draft questions, conducting interviews with students to ensure the questions on the instrument are interpreted properly, and collecting faculty feedback on the questions themselves, and 4) a statistical evaluation of final versions of the instrument to ensure its internal validity. We also provide initial results from pilot runs of the CI.",
keywords = "Assessment, Concept inventory, Data structures",
author = "Leo Porter and Daniel Zingaro and Liao, {Soohyun Nam} and Cynthia Taylor and Webb, {Kevin C.} and Cynthia Lee and Michael Clancy",
year = "2019",
month = jul,
day = "30",
doi = "10.1145/3291279.3339404",
language = "English (US)",
series = "ICER 2019 - Proceedings of the 2019 ACM Conference on International Computing Education Research",
publisher = "Association for Computing Machinery, Inc",
pages = "111--119",
booktitle = "ICER 2019 - Proceedings of the 2019 ACM Conference on International Computing Education Research",
note = "15th Annual International Computing Education Research Conference, ICER 2019 ; Conference date: 12-08-2019 Through 14-08-2019",
}