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How to figure out your "why" and "when" with Gen AI (w/ Dr. Larry Miller)
In this episode, we dive deep into the world of educational technology and data analytics with Dr. Larry Miller, an expert in public finance and education policy. Larry shares insights from his work at Greenville Tech, where he's spearheading innovative approaches to improve student success through data-driven interventions.
From cutting-edge welding programs enhanced by AI to predictive analytics in student performance, we explore how technology is reshaping higher education. Larry discusses the challenges and opportunities in using data to identify at-risk students, improve faculty performance, and increase graduation rates.
We also get into the human side of education, examining how personal connections and targeted outreach can make a significant difference in student outcomes. Join us for a fascinating conversation about the future of education, the role of AI in academic settings, and the delicate balance between technological innovation and human touch in supporting student success.
00:00:24 - Larry introduces himself and his background in finance and education policy.
00:02:19 - Discussion of the new center for welding and automation excellence at Greenville Tech.
00:05:55 - Conversation shifts to using data analytics and predictive analytics in education.
00:08:56 - Larry explains the concept of using blackboard data for predictive analytics.
00:12:35 - Discussion about generating a practice data set for analysis.
00:16:56 - Conversation about connecting data to past outcomes and developing KPIs.
00:22:30 - Audrey shares her experience with student tracking systems at a previous institution.
00:27:54 - Larry describes their weekly accountability meetings using dashboards.
00:31:11 - Discussion about incorporating qualitative data into analysis.
00:34:23 - Larry talks about the importance of personal outreach in student success.
00:37:37 - Conversation about evaluating the effectiveness of outreach efforts.
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By Zia Hassan and Audrey EllisIn this episode, we dive deep into the world of educational technology and data analytics with Dr. Larry Miller, an expert in public finance and education policy. Larry shares insights from his work at Greenville Tech, where he's spearheading innovative approaches to improve student success through data-driven interventions.
From cutting-edge welding programs enhanced by AI to predictive analytics in student performance, we explore how technology is reshaping higher education. Larry discusses the challenges and opportunities in using data to identify at-risk students, improve faculty performance, and increase graduation rates.
We also get into the human side of education, examining how personal connections and targeted outreach can make a significant difference in student outcomes. Join us for a fascinating conversation about the future of education, the role of AI in academic settings, and the delicate balance between technological innovation and human touch in supporting student success.
00:00:24 - Larry introduces himself and his background in finance and education policy.
00:02:19 - Discussion of the new center for welding and automation excellence at Greenville Tech.
00:05:55 - Conversation shifts to using data analytics and predictive analytics in education.
00:08:56 - Larry explains the concept of using blackboard data for predictive analytics.
00:12:35 - Discussion about generating a practice data set for analysis.
00:16:56 - Conversation about connecting data to past outcomes and developing KPIs.
00:22:30 - Audrey shares her experience with student tracking systems at a previous institution.
00:27:54 - Larry describes their weekly accountability meetings using dashboards.
00:31:11 - Discussion about incorporating qualitative data into analysis.
00:34:23 - Larry talks about the importance of personal outreach in student success.
00:37:37 - Conversation about evaluating the effectiveness of outreach efforts.