Executive Certificate in Machine Learning for Blended Student Grading
Published on June 18, 2025
About this Podcast
HOST: Welcome to the podcast, everyone. I'm thrilled to have Dr. Sarah Peterson here today, an expert in educational technology and machine learning. Today, we're discussing her Executive Certificate in Machine Learning for Blended Student Grading course. Sarah, welcome! GUEST: Thanks for having me, [host's name]! I'm excited to share my experiences and insights about this emerging field. HOST: Let's start with your personal experiences. How did you first become interested in machine learning for education? GUEST: I started my career as a high school teacher, and I noticed the amount of time I spent on grading could've been used for more impactful activities, like student mentoring. That sparked my interest in automating the grading process through machine learning. HOST: That's fascinating. Now, what are some current industry trends related to this course topic? GUEST: Absolutely. Personalized learning and data-driven decision-making are two major trends. Educators are now leveraging machine learning to tailor content for individual students and make informed decisions based on data insights. HOST: And how does your course help education professionals address these trends? GUEST: My course equips educators with practical skills in machine learning algorithms, automating grading tasks, and analyzing data to improve overall efficiency. It also helps them make informed decisions and enhance their educational technology skills. HOST: What are some challenges faced in the field while learning or teaching this subject? GUEST: One challenge is the accessibility of machine learning for non-technical educators. Another is the ethical use of student data in machine learning models, which we address in the course by discussing data privacy and security. HOST: Great! Let's talk about the future. Where do you see machine learning in education going? GUEST: Machine learning will likely play a significant role in education by automating administrative tasks, allowing educators to focus more on teaching and mentoring. We'll also see more personalized learning experiences, improving student outcomes. HOST: Dr. Sarah Peterson, thank you so much for joining us today and sharing your insights about machine learning in education! GUEST: Thank you for having me, [host's name]! It's been a pleasure discussing this important topic with your audience.
