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Transforming Workforce Development through Immersive Technology

Penn State and Richard King Mellon Foundation Collaborate to Build Strong Science- and Technology-Focused Workforce

The Richard King Mellon Foundation has awarded $392,000 to two researchers at Penn State to develop a strong science- and technology-focused (STF) workforce in the Mon Valley region of Pennsylvania through collaboration and virtual, augmented, and mixed reality trainings and tools.

Unlocking the Potential of Immersive Technology

The two-phase "Immersive upskilling for STF Workers" project will be led by co-primary investigators Megan Nagel, Chancellor and Chief Academic Officer at Penn State Greater Allegheny, and Jessica Menold, Director of the Penn State Center for Immersive Experiences (CIE) and Associate Professor in the Penn State College of Engineering.

Building a Stronger Workforce

According to CIE’s website, "The Center for Immersive Experiences (CIE) provides cutting-edge immersive technologies, knowledge, and skills to the Penn State community with the goal of creating leadership in immersive experiences by advancing the underlying science and integrating it into the academic spectrum through research, education, and outreach."

Penn State Greater Allegheny, located in McKeesport, serves the Mon Valley region, which has experienced a loss of industry and population. Together, Penn State Greater Allegheny and CIE will offer training to benefit manufacturers and build technical skills in the workforce.

Addressing the Needs of Manufacturers and Workforce

Menold emphasized, "We at the center are really passionate about working to support, in whatever way we can, using immersive technologies to enable economic growth across Pennsylvania. Specifically, we are excited to use immersive technology, like virtual reality, to train and upskill workers so that we can meet the demands of increasingly complex and demanding manufacturing environments."

Nagel added, "The ‘Immersive Upskilling for STF Workers’ grant will bring research, scholarly activity, and community engagement to a region poised to work with local manufacturers. The Mon Valley region will benefit from investment and revitalization, and the training will allow manufacturers to employ a skilled workforce and be competitive on a regional, state, and national level."

Phase One: Community Engagement and Data Collection

In phase one, Nagel and Menold aim to hold community town halls and workshops with manufacturers to seek input, define barriers or obstacles faced, and get an understanding of interest, engagement, and manufacturers’ needs. The team will collect data co-created from the workshops to formulate a report that will codify the training needs and barriers faced by community members.

Phase Two: Assessing the Impact of Immersive Training

Phase two will assess, via pilot-tests, the ability of these immersive training tools and platforms to successfully improve workers’ skills in relevant areas. The team will collect data on the participants’ baseline performance before engaging in the program and use this to measure how much or how little the trainings improved participants’ performance.

The Power of Co-Design and Collaboration

Menold noted, "We are adopting a co-design model for this effort and are really hoping to both identify and design novel training experiences in close partnership with the communities we are hoping to serve. That means going out and speaking with local communities and manufacturers to understand what their unique needs are. Then, we will take time to analyze that data and develop immersive training platforms that help workers fill those needs."

Nagel echoed the sentiment, "What is being developed in State College is being deployed through the Commonwealth Campus system. To me, this is when Penn State is enacting its true land-grant mission. I want to emphasize the powerful partnership between the campus and university to benefit the communities in the state… I view this as a true partnership."

How AI legalese decoder Can Help

AI legalese decoder, a cutting-edge AI-powered tool, can aid in the interpretation and analysis of the data collected from the workshops and pilot-tests. By automatically processing and summarizing complex legal and technical documents, AI legalese decoder can help the researchers:

• Extract relevant information from lengthy reports and grant proposals
• Identify key concepts and themes in the data
• Compare and contrast different sources of data to identify patterns and trends
• Generate actionable insights and recommendations for future research and training initiatives

By utilizing AI legalese decoder, the researchers can gain a deeper understanding of the needs and barriers faced by the community and develop more effective training programs to address these issues.

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