Barach, A. E., & Jenkins, C., & Gunawardena, S. S., & Kecskemety, K. M. (2020, June), MCS1: A MATLAB Programming Concept Inventory for Assessing First-year Engineering Courses  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34958

\bibitem{asee_peer_34958}
  Barach, A. E., \& Jenkins, C., \& Gunawardena, S. S., \& Kecskemety, K. M. (2020, June), \emph{MCS1: A MATLAB Programming Concept Inventory for Assessing First-year Engineering Courses}
  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line .
  10.18260/1-2--34958

Ada E. Barach, Connor Jenkins, Serendipity S. Gunawardena, and Krista M. Kecskemety.  "MCS1: A MATLAB Programming Concept Inventory for Assessing First-year Engineering Courses".  2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June.  ASEE Conferences, 2020.  https://peer.asee.org/34958 Internet.  14 Dec, 2024

\bibitem{asee_peer_34958}
  Ada E. Barach, Connor Jenkins, Serendipity S. Gunawardena, and Krista M. Kecskemety.
  "MCS1: A MATLAB Programming Concept Inventory for Assessing First-year Engineering Courses".
  \emph{2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June}.
  ASEE Conferences, 2020.
  https://peer.asee.org/34958 Internet.  14 Dec, 2024

@INPROCEEDINGS{asee_peer_34958
author = "Ada E. Barach, Connor Jenkins, Serendipity S. Gunawardena, and Krista M. Kecskemety"
title = "MCS1: A MATLAB Programming Concept Inventory for Assessing First-year Engineering Courses"
booktitle = "2020 ASEE Virtual Annual Conference Content Access"
year = "2020"
month = "June"
address = "Virtual On line "
publisher = "ASEE Conferences"
note = {https://peer.asee.org/34958}
number = {10.18260/1-2--34958}
}

TY  - CPAPER
AB  - This complete research paper discusses the development of a new MATLAB-specific concept inventory, called MCS1, for assessing foundational computer science concepts as well as the preliminary data analysis from a pilot test of MCS1. Concept inventories are typically multiple-choice assessments for evaluating student understanding of specific concepts and are used across various STEM fields. Few computer science concept inventories have been developed due to a unique set of challenges such as computer science's heavy reliance on syntax and notation. Though other computer science concept inventories exist, they are largely language-independent which has been shown to favor high-performing students. As a result, the First-Year Engineering (FYE) program at The Ohio State University does not have many tools to assess student comprehension of MATLAB programming skills, teaching methods, or course curricula. MCS1 is a replication of a previously validated language-independent concept inventory for foundational computer science, called SCS1, developed by Parker et. al. Think-aloud interviews were conducted to determine if revisions were necessary before giving the assessment to current FYE students. Preliminary validation has focused on comparing the new MCS1 to the existing SCS1 through a point biserial correlation test but has found a statistically significant difference between MCS1 and SCS1 scores. This indicates that MCS1 cannot be validated against SCS1 and an independent validation study for MCS1 is necessary.
AU  - Ada E. Barach
AU  - Connor Jenkins
AU  - Serendipity S. Gunawardena
AU  - Krista M. Kecskemety
CY  - Virtual On line 
DA  - 2020/06/22
PB  - ASEE Conferences
TI  - MCS1: A MATLAB Programming Concept Inventory for Assessing First-year Engineering Courses
UR  - https://peer.asee.org/34958
DO  - 10.18260/1-2--34958
ER  -