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Mark Vickers
Chief Research Analyst and Data Wrangler at HR.com
Mark Vickers is the Chief Research Analyst and Data Wrangler at HR.com, a position he has held since December 2016. Based in St. Petersburg, Florida, he plays a pivotal role at the HR Research Institute (HRRI), which is part of HR.com, the largest online community for human resources professionals. Vickers is dedicated to creating research-based narratives that assist HR professionals in their roles.12
Professional Background
- Experience: Vickers has over 20 years of experience in research and analysis. Before joining HR.com, he worked in various capacities, including:
Contributions
Vickers has significantly contributed to the field of HR research by producing over 100 reports, infographics, and case studies. He also engages with audiences through webcasts and virtual events, emphasizing collaborative storytelling in research.13
Personal Insights
Vickers began his career as a sailing and GED instructor before transitioning into HR research. His journey reflects a blend of personal exploration and professional growth, often citing the poet T.S. Eliot to illustrate his ongoing quest for knowledge and understanding in his field.1
Highlights
Super interesting study regarding learning and AI
Part of the abstract:
A key question is how generative AI affects learning, namely, how humans acquire new skills as they perform tasks. This kind of skill learning is critical to long-term productivity gains, especially in domains where generative AI is fallible and human experts must check its outputs. We study the impact of generative AI, specifically OpenAI's GPT-4, on human learning in the context of math classes at a high school. In a field experiment involving nearly a thousand students, we have deployed and evaluated two GPT based tutors, one that mimics a standard ChatGPT interface (called GPT Base) and one with prompts designed to safeguard learning (called GPT Tutor).
These tutors comprise about 15% of the curriculum in each of three grades. Consistent with prior work, our results show that access to GPT-4 significantly improves performance (48% improvement for GPT Base and 127% for GPT Tutor).
However, we additionally find that when access is subsequently taken away, students actually perform worse than those who never had access (17% reduction for GPT Base). That is, access to GPT-4 can harm educational outcomes. These negative learning effects are largely mitigated by the safeguards included in GPT Tutor.
Our results suggest that students attempt to use GPT-4 as a "crutch" during practice problem sessions, and when successful, perform worse on their own. Thus, to maintain long-term productivity, we must be cautious when deploying generative AI to ensure humans continue to learn critical skills.
https://lnkd.in/eG2VBGxJ
So, why are many enterprises investing more in AI now? How's it being used? Turns out there's a wide range of use cases in the workplace, with employees leveraging it to do everything from generating ideas to rubber duck debugging. https://lnkd.in/dgYnJxyb
