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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 SkillsThe 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 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.
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.
The age of simple memorization and regurgitation will end. The new focus will be on creating contextual, personalized, and experiential learning environments.
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.
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.
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.
The line between corporate learning and higher education will blur as both seek to adapt to the needs of the modern workforce.
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.
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.
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/
By Julie Kratz4.8
2828 ratings
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 SkillsThe 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 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.
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.
The age of simple memorization and regurgitation will end. The new focus will be on creating contextual, personalized, and experiential learning environments.
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.
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.
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.
The line between corporate learning and higher education will blur as both seek to adapt to the needs of the modern workforce.
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.
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.
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/

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