Works for Me: Personalizing Skilled Trade Worker Training via Smart Hand Tools
ABSTRACT This paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled tr...
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| Veröffentlicht in: | Proceedings of the ASIST Annual Meeting 2024-10, Vol.61 (1), p.92-102 |
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| container_title | Proceedings of the ASIST Annual Meeting |
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| creator | Collier, Chelsea Fleischmann, Kenneth R. Greenberg, Sherri R. Lassiter, Tina Kim, Jen Bokyung Salazar, Carlos New, Rachel Longoria, Raul G. |
| description | ABSTRACT
This paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled trades and to respond with co‐designed socio‐technical interventions that empower workers. The research benefits from a collaboration between The University of Texas at Austin, the City of Austin, and Austin Community College (ACC) and incorporates insights from welding instructors and students, as well as skilled trade workers and supervisors. Social science findings derived from semi‐structured interviews inform tool design implemented by an interdisciplinary research team. The participatory design approach has resulted in two prototypes: a welding simulator that uses Augmented Reality (AR) and an AI‐enabled (smart) rotary tool. This paper has implications for workforce development to address skilled worker shortages. Additionally, it contributes to ongoing research into AI and skilled trade work which is understudied compared to AI and knowledge work. |
| doi_str_mv | 10.1002/pra2.1011 |
| format | Article |
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This paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled trades and to respond with co‐designed socio‐technical interventions that empower workers. The research benefits from a collaboration between The University of Texas at Austin, the City of Austin, and Austin Community College (ACC) and incorporates insights from welding instructors and students, as well as skilled trade workers and supervisors. Social science findings derived from semi‐structured interviews inform tool design implemented by an interdisciplinary research team. The participatory design approach has resulted in two prototypes: a welding simulator that uses Augmented Reality (AR) and an AI‐enabled (smart) rotary tool. This paper has implications for workforce development to address skilled worker shortages. Additionally, it contributes to ongoing research into AI and skilled trade work which is understudied compared to AI and knowledge work.</description><identifier>ISSN: 2373-9231</identifier><identifier>EISSN: 2373-9231</identifier><identifier>EISSN: 1550-8390</identifier><identifier>DOI: 10.1002/pra2.1011</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Artificial intelligence ; Augmented reality ; Co-design ; Colleges & universities ; Hand tools ; Interdisciplinary studies ; Learning Analytics ; Personalized Learning ; Skilled Trade Workers ; Smart Hand Tools ; Training ; Welding ; Workers</subject><ispartof>Proceedings of the ASIST Annual Meeting, 2024-10, Vol.61 (1), p.92-102</ispartof><rights>87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada</rights><rights>2024 ASIS&T</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1021-afe71dcffd3536215cc8cf5e6f62c88b35922ce951eac4cdd83df49624389de03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Collier, Chelsea</creatorcontrib><creatorcontrib>Fleischmann, Kenneth R.</creatorcontrib><creatorcontrib>Greenberg, Sherri R.</creatorcontrib><creatorcontrib>Lassiter, Tina</creatorcontrib><creatorcontrib>Kim, Jen Bokyung</creatorcontrib><creatorcontrib>Salazar, Carlos</creatorcontrib><creatorcontrib>New, Rachel</creatorcontrib><creatorcontrib>Longoria, Raul G.</creatorcontrib><title>Works for Me: Personalizing Skilled Trade Worker Training via Smart Hand Tools</title><title>Proceedings of the ASIST Annual Meeting</title><description>ABSTRACT
This paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled trades and to respond with co‐designed socio‐technical interventions that empower workers. The research benefits from a collaboration between The University of Texas at Austin, the City of Austin, and Austin Community College (ACC) and incorporates insights from welding instructors and students, as well as skilled trade workers and supervisors. Social science findings derived from semi‐structured interviews inform tool design implemented by an interdisciplinary research team. The participatory design approach has resulted in two prototypes: a welding simulator that uses Augmented Reality (AR) and an AI‐enabled (smart) rotary tool. 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This paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled trades and to respond with co‐designed socio‐technical interventions that empower workers. The research benefits from a collaboration between The University of Texas at Austin, the City of Austin, and Austin Community College (ACC) and incorporates insights from welding instructors and students, as well as skilled trade workers and supervisors. Social science findings derived from semi‐structured interviews inform tool design implemented by an interdisciplinary research team. The participatory design approach has resulted in two prototypes: a welding simulator that uses Augmented Reality (AR) and an AI‐enabled (smart) rotary tool. This paper has implications for workforce development to address skilled worker shortages. Additionally, it contributes to ongoing research into AI and skilled trade work which is understudied compared to AI and knowledge work.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/pra2.1011</doi><tpages>11</tpages></addata></record> |
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| ispartof | Proceedings of the ASIST Annual Meeting, 2024-10, Vol.61 (1), p.92-102 |
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| language | eng |
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| source | Alma/SFX Local Collection |
| subjects | Artificial intelligence Augmented reality Co-design Colleges & universities Hand tools Interdisciplinary studies Learning Analytics Personalized Learning Skilled Trade Workers Smart Hand Tools Training Welding Workers |
| title | Works for Me: Personalizing Skilled Trade Worker Training via Smart Hand Tools |
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