Reflective Teaching In A Digital Age

Dr. Natasha Mello and Dr. Nicole Pitterson

Welcome to the podcast series called: Reflective Teaching in a Digital Age. We are excited to share our conversations with professionals working in STEM education or related fields. They have graciously agreed to share their personal experiences of adapting to an online teaching mode as well as their professional wealth of practical and theoretical knowledge relevant to blended or online teaching. We discuss many topics including effective course design, teamwork facilitation, assessment, educational technology integration, social support, instructor’s trust development and many, many others. We hope these conversations will prove useful to our listeners as well as help to engage our community in a larger conversation about effective ways to navigate the “new normal” of blended and online learning in STEM to develop effective modes of teaching. Visit our website for more information: https://www.reflectiveteachinginadigitalage.com

  1. JAN 15

    Integrating AI Tutoring Tools in K–12 Education with Dr. Kristen DiCerbo

    In this episode, Dr. Kristen DiCerbo explains how AI tools like Khan Academy’s Khanmigo are being integrated into classrooms to support both students and teachers, offering personalized feedback and assistance while streamlining educational tasks. In our discussion, Kristen emphasizes the need for ethical implementation, highlighting issues of data privacy, safety, and trust as central to responsible use. She also makes it clear that while AI is a valuable tool for enhancing education, teachers remain irreplaceable for guiding, motivating, and socially engaging students.  Bio: Dr. Kristen DiCerbo is the Chief Learning Officer at Khan Academy, a nonprofit dedicated to providing a free world class education to anyone, anywhere. In this role, she is responsible for the research-based teaching and learning strategy for Khan Academy’s offerings. She leads the content, assessment, design, product management, and community support teams. Time magazine named her one of the top 100 people influencing the future of AI in 2024. Dr. DiCerbo’s work has consistently been focused on embedding what we know from education research about how people learn into digital learning experiences. Prior to her role at Khan Academy, she was Vice-President of Learning Research and Design at Pearson, served as a research scientist supporting the Cisco Networking Academies, and worked as a school psychologist in an Arizona school district. Kristen received her Bachelor’s Degree from Hamilton College and Master’s Degree and Ph.D. in Educational Psychology at Arizona State University.

    49 min
  2. 12/07/2025

    Critical Thinking and Trust in the Age of AI Tools: An Engineering Educator’s Perspective with Dr. Héctor Rodríguez-Simmonds

    Many educators are exploring ways of teaching with AI and guiding learners in responsible use of powerful computational tools. In this episode, Dr. Héctor Rodríguez-Simmonds discusses how to make AI tools accessible and meaningful, foster student agency and critical thinking, and redefine the educator’s role in a rapidly evolving technological landscape. He also provides practical insights on understanding AI, building trust in the classroom, and empowering learners to use technology creatively and responsibly. Bio: Dr. Héctor E. Rodríguez-Simmonds is an Assistant Professor in the College of Engineering at Florida International University. He earned his B.S. in Computer Engineering from the University of Central Florida and his M.S. in Electrical and Computer Engineering and Ph.D. in Engineering Education from Purdue University. His teaching employs a human-centered lens that highlights sociotechnical aspects of engineering practice, prompting students to consider professional responsibility, historical context, and collaborative approaches to addressing complex problems. Initially trained in computer engineering, Héctor's early research focused on memory architectures in microprocessors. However, his experiences as a gay, Latino, neurodivergent engineer during graduate school sparked a shift toward understanding how our experiences and backgrounds shape learning and professional practice in engineering. His work now examines how students relate to tools like artificial intelligence in educational and professional settings, and how interdisciplinary teams navigate collaboration in human-centered design projects. Héctor's goal is to help future engineers develop technical expertise alongside critical reflection, innovation, and responsible decision-making skills that prepare them to address real-world challenges.  References:

    1h 6m
  3. 05/06/2025

    Computational Practices in STEM Education with Dr. Alejandra Magana

    As technology continues to advance, professionals in engineering, science, and other disciplines must develop computational skills to address complex problems, analyze data, and create innovative solutions. In this episode, Dr. Alejandra Magana emphasizes the need for a systematic approach to integrating computational methods into engineering and STEM education with a focus on student-centered, supportive teaching. She also introduces her new book, Learning through Computation, Modeling, and Simulation Practices in STEM. Additionally, Dr. Magana provides actionable strategies for practitioners to incorporate into their educational practices.  Bio: Dr. Alejandra J. Magana is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and Professor in the School of Engineering Education at Purdue University. Dr. Magana holds a B.E. in Information Systems and an M.S. in Technology, both from Tec de Monterrey, and an M.S. in Educational Technology and a Ph.D. in Engineering Education, both from Purdue University. Her research program investigates how model-based cognition in Science, Technology, Engineering, and Mathematics (STEM) can be better supported by means of expert tools and disciplinary practices such as data science computation, modeling, and simulation. In 2015, Dr. Magana received the National Science Foundation’s Faculty Early Career Development (CAREER) Award for investigating modeling and simulation practices in undergraduate engineering education. In 2016, she was conferred the status of Purdue Faculty Scholar for being on an accelerated path toward academic research distinction, and in 2022, she was inducted into the Purdue University Teaching Academy, recognizing her excellence in teaching.  References: Teaching and Learning in STEM with Computation, Modeling, and Simulation Practices

    45 min
  4. 11/18/2024

    Exploring the Full Option Science System (FOSS) curriculum with Jessica Penchos

    Active participation in scientific practice through engagement in meaningful learning experiences provides opportunities for students to develop a conceptual understanding of complex topics. To make learning effective, teachers need to have a roadmap for ways to support their students in the learning process. The Full Option Science System (FOSS) curriculum is a research-based and classroom tested methodology that provides guidance and materials for engaging students in scientific and engineering practices. In this episode, Jessica Penchos will talk to us about the core principles of the FOSS curriculum, how it addresses students’ engagement, motivation, and learning, and ways that teachers can effectively integrate this approach into their classrooms. Bio: Jessica Penchos is the Associate Director of the Full Option Science System (FOSS) Project at the Lawrence Hall of Science at University of California, Berkeley. She is an experienced curriculum developer and was a lead author for the FOSS Next Generation Edition (2018) for grades 6-8 and a contributing author for FOSS Pathways Edition (2024) modules for grades TK-5. Her contributions focus on implementing research-based pedagogical practices and developing NGSS-aligned science instructional materials and assessment items centered around equitable access for all learners. Before joining FOSS, Jessica taught 8th grade science in Boston Public Schools and served as a teacher leader in the district. Jessica has an undergraduate degree with honors from Dartmouth College in Cognitive Science and a master’s degree in education from Harvard Graduate School of Education where she focused on cognitive frameworks for curriculum, evaluation of educational programs, and technology for students with disabilities.

    48 min

Ratings & Reviews

5
out of 5
4 Ratings

About

Welcome to the podcast series called: Reflective Teaching in a Digital Age. We are excited to share our conversations with professionals working in STEM education or related fields. They have graciously agreed to share their personal experiences of adapting to an online teaching mode as well as their professional wealth of practical and theoretical knowledge relevant to blended or online teaching. We discuss many topics including effective course design, teamwork facilitation, assessment, educational technology integration, social support, instructor’s trust development and many, many others. We hope these conversations will prove useful to our listeners as well as help to engage our community in a larger conversation about effective ways to navigate the “new normal” of blended and online learning in STEM to develop effective modes of teaching. Visit our website for more information: https://www.reflectiveteachinginadigitalage.com