321: The Future of Education in an AI-Driven World with Melissa Loble
Release Date: 11/30/2025
Allyship in Action
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In my new interview with Melissa Loble, Chief Academic Officer at Instructure, we discussed the evolving educational landscape. She made a few key predictions for the future of education in an AI-driven world: 1. The Blended Curriculum: Academic Content Merges with Human and Career Skills The traditional focus on purely academic content will radically shift. The future curriculum will be a blend that incorporates three critical components: Academic Content: The core disciplinary knowledge. Human Skills (Soft Skills): Due to AI handling entry-level technical tasks, there will be an...
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Kristen Kavanaugh is the author of Courage Over Fear and the founder of The Agency Initiative, working to connect people's work with meaning in alignment with their values. Previously, she was the vice chair of the Defense Advisory Committee on Diversity & Inclusion and the senior director of inclusion, talent & learning at Tesla. Here are my key takeaways: Values Dissonance Drives Talent Away: The conflict between personal values and the actions or culture of a company—especially at the leadership level—causes significant personal distress and ultimately leads to attrition....
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This week, I welcome Shanna Hocking to the podcast to talk about her new research in higher education and what's holding women back in university advancement. You might be surprised that the answer is disturbingly simple. Here are my favorite takeaways: The Crisis in Higher Education Leadership: A shift is needed from a scarcity mindset focused only on fundraising to a focus on leadership and culture as the key to success. The profession is at a crossroads, needing to re-evaluate what has historically worked versus what is needed for the future, especially post-pandemic. Structural...
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I have to admit, I was nervous to do this interview. I met Ruchika Malhotra by chance years ago, and have been in awe of her work ever since. She is the visionary author behind the new book, Uncompete. Building on her viral conversation about imposter syndrome, Ruchika delves into the core thesis of her latest work: the necessity of rejecting a destructive culture of competition to unlock true, sustainable success. She challenges the ingrained notion that scarcity and cutthroat individualism are the only paths to achievement, arguing instead that collaboration, abundance, radical...
info_outlineIn my new interview with Melissa Loble, Chief Academic Officer at Instructure, we discussed the evolving educational landscape. She made a few key predictions for the future of education in an AI-driven world:
1. The Blended Curriculum: Academic Content Merges with Human and Career Skills
The traditional focus on purely academic content will radically shift. The future curriculum will be a blend that incorporates three critical components:
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Academic Content: The core disciplinary knowledge.
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Human Skills (Soft Skills): Due to AI handling entry-level technical tasks, there will be an increased emphasis on human skills like critical thinking, decision-making, problem-solving, confidence, and courage. Educators will need to explicitly teach and build these skills, moving beyond simply teaching the application of theories.
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Workforce/Life Skills: Education will be directly connected to career and life trajectories, driven by learners (especially younger generations) seeking a clear return on investment (ROI) from their education and questioning the value of high debt.
2. Contextual and Experiential Learning Replaces Rote Memorization
The age of simple memorization and regurgitation will end. The new focus will be on creating contextual, personalized, and experiential learning environments.
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Focus on Context: Educators must shift from solely valuing content (like in research/peer-review) to emphasizing context—the "why" and "how" the content is applied in the real world.
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Simulation and Application: There will be a greater use of simulations, case-based learning, and hands-on scenarios to help learners practice and apply human skills and technical knowledge, allowing them to fail fast and build competence. AI can assist in creating these complex, customized case studies and learning environments.
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Practitioner-Academic Collaboration: Higher education will increasingly benefit from practitioners joining the faculty to bring real-world context, working alongside traditional academics to enrich the learning experience.
3. Corporate and Higher Education Learning Forge a Strategic Partnership
The line between corporate learning and higher education will blur as both seek to adapt to the needs of the modern workforce.
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Corporate Learning Shifts: Corporate training will move away from being purely compliance-driven toward a focus on developing human and career-track skills. Employees, particularly Millennials and Gen Z, actively seek employers who commit to developing them as future leaders.
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Continuous Development: The "one-and-done" training model will be replaced by a commitment to lifelong learning and continuous development. This will include meeting people where they are and using retrieval practice and open coaching to reinforce skills and build resistance to change.
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Joint Reinvention: Higher education and the corporate world have a significant opportunity to partner and reinvent themselves together to effectively address the blend of technical and human skill development needed for an AI-enabled future.
Follow Melissa at https://www.instructure.com/