@article{c3b0f501b16041de820661039dd53479,
title = "Development of Self-Efficacy and Mindset Scales for Advanced Manufacturing and Data Sciences",
author = "Zappe, {Sarah E.} and Stephanie Cutler and Sam Spiegel and Deb Jordan and Jenifer Blacklock and Francisco Garcia",
note = "Funding Information: This material is based upon work supported by the National Science Foundation under Grant Number 1935674. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. Funding Information: The purpose of this paper is to describe the development of a set of scales intended to measure self-efficacy and growth/fixed mindset relating to advanced manufacturing and data sciences (AMDS). The scales were developed as part of a larger National Science Foundation (NSF) funded project with the goal of creating a set of online courses and modules about AMDS. These courses and modules are intended to be completed by a variety of learners, including community-college students, 4-year university students, industry professionals, and informal learners who are looking to advance their skills. The scales will ultimately be used as measures to gauge the impact of the instructional activities being created as part of the NSF project. This paper will describe how the scales were developed and provide information on preliminary psychometric properties and validity evidence. We anticipate that individuals interested in how to assess the impact of advanced manufacturing courses or educational initiatives will be interested in this paper.; 129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; Conference date: 26-06-2022 Through 29-06-2022",
year = "2022",
month = aug,
day = "23",
language = "English (US)",
journal = "ASEE Annual Conference and Exposition, Conference Proceedings",
issn = "2153-5965",
publisher = "American Society for Engineering Education",
}