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Title: Assessing Head- Hand- and Heart-Related Competencies through Augmented-Reality
This work in progress paper presents an assessment framework for an authentic learning activity in augmented reality (AR). Constant changes in technical and societal needs require educational programs to constantly rethink the status quo and explore ways to align future professionals’ formal education with emerging workforce demands. Such is critical for all professions — including those in the architecture, engineering, and construction (AEC) industry. While many may agree on the need to do this, what is less clear is the scholarly approach required for undertaking such an endeavor. Insights from studies associated with the Preparation for the Professions Program led by the Carnegie Foundation for the Advancement of Teaching offer a framework used for exploring professional preparation across professions is commonly referred to as the Three Apprenticeships—namely, Apprenticeships of the Head, the Hand, and the Heart. Within engineering-related fields, academic preparation for the profession primarily focuses on technical knowledge; but there is a need for more holistic, integrated learning experiences that involve different kinds of knowledge (Head), skills (Hand), and professional judgment (Heart). This study leverages the Three Apprenticeship framework to assess an integrated learning AEC experience in augmented reality (AR) by using real-time data collected from participants. Using the context of a children’s playground, participants were asked to redesign an existing play structure to better meet the needs of children, parents, and other stakeholders within the community. A five-metric assessment was developed to operationalize the head, hand, and heart constructs in this context and measure participants’ ability to think holistically in an authentic learning experience. These five assessment metrics included cost, time, safety, sustainability, and fun. This paper explores the development of this assessment and shares preliminary findings from the study.  more » « less
Award ID(s):
1735878
NSF-PAR ID:
10359368
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
ASEE 2022 Annual Conference
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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