The Human Factor in AI Innovation: Nurturing Soft Skills in Tech Education
Welcome to the Sixth Chapter of Our Series, Navigating the AI Landscape: A Journey of Innovation and Emotion
In the rapidly evolving world of artificial intelligence, the focus often gravitates toward technical skills and algorithmic advancements. However, as we delve deeper into AI's implications and possibilities, it becomes clear that the future demands much more from its innovators. This sixth installment explores an essential yet often overlooked dimension of AI education.
Drawing on years of experience guiding Engineers, Executive MBAs, PhD students and leaders through their scholarly journeys, this chapter highlights the vital intersection where technical proficiency meets the nuanced world of human skills. We will uncover how fostering soft skills such as critical thinking, collaboration, and emotional intelligence is beneficial and essential for the holistic development of future leaders in AI.
Join us as we explore innovative teaching methods for preparing the next generation of engineers and scientists. These approaches emphasize technical expertise and champion the soft skills necessary for success in a digital future. We will discuss how these competencies can be seamlessly integrated into AI and machine learning education, ensuring that tomorrow's innovators are proficient in technology and adept at navigating the complex human landscape that their creations will influence.
Navigating Rapid Paradigm Shifts: The Imperative for Adaptive Education
A group of people gathered outside a grand building during dusk. The building's entrance is ornate, with large double doors flanked by tall windows and decorative lamps casting a warm glow. The attendees, PhD students, are engaged in conversations, forming small clusters. The ground is wet, creating a stunning reflection of the building and the people, enhancing the image's depth and ambiance. The scene exudes a sense of camaraderie and intellectual exchange, set against the backdrop of elegant architecture and soft lighting.
Seismic shifts across various domains are redefining our thinking and living. Notably, the rapid progression in artificial intelligence (AI) and robotics mandates reevaluating educational methodologies to align with the demands of a post-digital society. This evolution is about integrating new technologies into our curricula and ensuring that education holistically prepares students and leaders to thrive in a rapidly changing world.
These shifts challenge traditional working methods, necessitating an educational model integrating advanced AI and essential soft skills for a balanced and comprehensive approach.
Integrating AI and Soft Skills: Redefining Educational and Training Excellence
The unprecedented growth in complexity within societal and economic spheres renders traditional educational models inadequate. AI and automation are not merely tools for efficiency but are becoming essential for managing the vast array of tasks once handled by skilled human workers. This technological shift extends beyond just taking over mechanical tasks; it enhances human capabilities to meet new challenges.
In this context, the role of soft skills becomes increasingly crucial. As AI and machine learning (ML) take on more complex roles in industries and society, the human workforce must complement these technologies with skills that AI cannot easily replicate. Emotional intelligence, critical thinking, teamwork, and adaptability are key attributes that will define the success of future professionals.
Integrating these competencies ensures that we prepare students technically and ethically, making our educational systems and corporations responsive to technological advancements and proactive in developing the full spectrum of human potential.
This section highlights the dual focus on technology and human-centric skills, emphasizing the importance of an education system that does not merely react to technological changes but anticipates the needs of a future where AI is ubiquitous and human interactions remain invaluable.
🟡 Key Takeaway:
Grounding AI education in a philosophy that values interconnectivity and systemic thinking allows us to cultivate a generation that appreciates and navigates the complexities of a technologically integrated world.
Shaping a Holistic Educational Framework
A young African-descent child inquisitively looks at a humanoid robot, symbolizing the fusion of early education with advanced robotics. The backdrop, filled with digital icons and schematics, adds a futuristic touch to the scene, illustrating how artificial intelligence is becoming an integral part of educational methodologies designed to enhance human capabilities and foster interaction between technology and the next generation of learners.
As we integrate these advanced tools and skills into our curricula, it's beneficial to ground our approach in deeper philosophical insights that advocate for a comprehensive understanding of education's role in society.
Edgar Morin's call to transcend Cartesian dualism reminds us of the importance of understanding systems holistically. We must educate in a way that acknowledges the interconnectedness of all knowledge domains, fostering an environment where students grasp both the macro and micro perspectives.
Despite our sophisticated tools, our preparedness to handle the complexity of modern life is often lacking. Andrew Pickering’s notion of a new ontology where humanity is not at the center but part of a more extensive ecological and technological network provides a compelling framework for educational reform and corporate training programs.
Andrew Pickering's notion is rooted in the philosophy of posthumanism, which challenges traditional anthropocentric views, in which humans are seen as the central or most significant entities in the world. Pickering advocates for a new ontology—a new way of understanding existence—emphasizing the interdependence and co-evolution of human and non-human agents within the world.
Instead of perceiving technology and nature as separate, we should view them as integral components of a dynamic system where all elements interact and influence each other. This encourages a shift from a control-oriented relationship to one of engagement within a constantly changing network.
This approach broadens our understanding of our place within the ecological and technological network and fosters a more holistic and inclusive view of innovation and problem-solving. By adopting this new ontology, educational systems can better prepare students to navigate and contribute to a world where technology is not merely a tool but a pivotal element of our interconnected existence.
Incorporating Pickering’s philosophy into educational practices would involve creating learning environments emphasizing systems thinking, interdisciplinary collaboration, and the ability to adaptively co-create with technological and biological processes. This would help cultivate a generation of thinkers and innovators adept at working within the complex, hybrid networks that define contemporary life.
In this rapidly evolving landscape, the question of how to effectively harness AI to co-design educational experiences that prepare students and leaders for future careers and active participation in a digitally driven society is paramount. This co-design involves a synergetic collaboration among educators, students, leaders, and AI experts, aiming to create learning environments that are adaptive, inclusive, and forward-thinking.
Phil Libin, the co-founder of Evernote, encapsulates this ethos well when he says:
“You should constantly, perpetually be thinking about how to reinvent yourself and how to treat the culture.”
Starting this learning process early in life cultivates natural growth and adaptability. Our human brains are wired to adapt and create; our educational systems must foster this inherent capability. The challenge, then, is not just to teach but to inspire students and leaders to use their creativity to craft an ethical future.
Participatory culture in education means moving away from top-down knowledge dissemination and embracing a model where students are co-creators of their learning experiences. This approach leverages AI to tailor educational pathways that are both personalized and deeply engaging, ensuring that learning is effective and resonant with the diverse needs of a global student body.
🟡 Key Takeaway
Grounding AI education in a philosophy that values interconnectivity and systemic thinking allows us to cultivate a generation that appreciates and navigates the complexities of a technologically integrated world.
The Challenge of Information Overload
A dynamic educational scene where a diverse group of students, attentively gathered around their instructor, Sylvie Gendreau, are engaged in an interactive learning session in a spacious indoor setting with a modern design. The students, dressed in winter attire, are focused on the materials in hand, suggesting an immersive workshop or educational tour. The setting features sleek marble flooring and white walls, enhancing the modern, clean aesthetic of the venue. The instructor, positioned at the edge of the group, appears to be explaining or discussing a point actively, indicating a hands-on learning experience outside the traditional classroom.
In today’s digital age, staying updated amid the vast sea of information is increasingly challenging. Educators and students alike must navigate this deluge, identifying content that is most relevant and beneficial for their growth. Discerning valuable information from noise is crucial in a world where data is abundant but true knowledge is scarce.
Teaching Complexity and Interdisciplinarity
Our educational systems are at a crossroads where traditional silos are insufficient. We must embrace a dynamic, interactive learning model—where knowledge is not static but continually evolving and responsive to discoveries and technologies. This approach to teaching complexity requires an interdisciplinary mindset that integrates diverse fields to provide a holistic education.
Digital and Cognitive Revolutions
The digital revolution has catalyzed a broader cognitive revolution, placing AI at the forefront of societal transformation. Andrew Ng’s comparison of AI’s impact to that of electricity highlights the profound role AI is expected to play in reshaping our educational landscapes. Modern curricula must incorporate AI as a tool and a fundamental learning component.
Integrating Art, Science, and Technology in Education
By merging art, science, and technology, we can unlock new pedagogical avenues that prepare students and leaders for future uncertainties. This integrated approach promotes play, creativity, and performance—key aspects that align with educational philosophies advocating a boundary-transcending, collaborative learning experience.
🟡 Key Takeaway:
Merging art, science and technology in education and corporate training is a win-win.
Having established the pressing need for a new educational paradigm, let's delve into a practical application of these principles. Over the past decade, I have pioneered a co-design educational model that embodies these concepts at Polytechnique Montreal and other business schools and universities in Canada and Europe. This case study will explore the strategies employed, the challenges encountered, and the outcomes achieved, providing a concrete example of innovative teaching in action.
With these philosophical underpinnings in mind, let's examine how these theories are applied through a case study of our innovative educational model.
Future-Proofing Education: The Power of Co-Design
The image depicts a diverse group of students gathered around a speaker in an open, atrium-like space with a brick floor during a workshop with Sylvie Gendreau. The group, consisting of approximately fifteen individuals, appears attentive and engaged as they listen to one of their peers standing in the center.
In graduate education, the challenge is co-creating knowledge, allowing students to pioneer their learning journey. This participatory approach aligns with the complexities of modern careers, where professionals must be thinkers and innovators.
Case Study: Innovating Engineering Education through Co-Creative Practices
My engagement with graduate students has centred on co-designing educational experiences that leverage their advanced academic capabilities and the cutting-edge potential of AI and machine learning. By integrating tools and experiences into the curriculum, we have developed a dynamic learning model that adapts to students' evolving educational needs, fostering an environment where they can challenge existing paradigms and propose new solutions.
I have developed a series of workshops to foster creativity, innovation and interdisciplinary thinking among leaders, executive MBAs, Ph.D. engineering students, and others. These workshops were designed to impart knowledge and actively engage students in the learning process, challenging them to apply their learning in dynamic and unpredictable environments.
Objective
The main goal of these workshops is to prepare participants to thrive in a complex, rapidly changing world by developing their creativity, problem-solving skills, and ability to work collaboratively across various disciplines.
Methodology
The workshops blend design thinking, scenario methods, and experiential learning, encouraging students to engage with real-world problems hands-on. This methodology is grounded in participatory culture and co-design, where students are not passive recipients of information but active participants in their educational journey.
Implementation
One notable workshop involves what I call "The Walk." This activity takes students outside the traditional classroom and into city streets, parks, and public spaces. During these walks, students observe their environment and discuss how various elements can be understood or improved through engineering solutions—this direct interaction with the physical world grounds theoretical knowledge in practical reality.
Building on Experience
Each iteration of the workshop builds on the previous ones based on feedback and reflective practices.
Outcomes
The impact of these workshops has been profound, with many students reporting a marked increase in their ability to think creatively and work collaboratively. Additionally, the workshops have helped to break down the barriers between different engineering disciplines, fostering a more holistic approach to education and problem-solving.
Evaluation
The evaluation of these workshops employs both formative and summative assessments. Formative assessments include real-time quizzes and interactive presentations during the walks, allowing immediate feedback and adjustment. Summative assessments involve students creating work portfolios, including reflective essays, project designs, and peer reviews.
What participants said…
Over the years, my students' feedback has been a source of inspiration and an example of the transformative power of our educational approach. Here are some voices from those who have journeyed through these innovative learning experiences:
1. Transformational Impact for Ahmad Maaref, Phd, AI Expert
Testimonial: “Honestly, I thought this workshop would be useless at the first step. But after just half a day from the first session, my mindset was changed. I learned that other aspects of our lives can affect our success (at the moment, my PhD), and I got these lessons from this workshop. I really had a good feeling after each session of this workshop. My roommate even knows you and our activities through this workshop because, after each workshop, I used to explain the whole day of the workshop to him; I used to describe to him the positive energy which you injected into all of us. You are a positive and patient instructor; everything was awesome!”
Contextual note: Ahmad’s work focuses on developing AI-driven technologies. The workshop exposed him to novel problem-solving approaches that blend creative thinking with AI, enhancing his ability to innovate within his field.
2. Educational Quality and Enjoyment for Yang Li, PhD, Associate professor, working on the advancement of conducting polymer-based biomaterials and the development of flexible and stretchable bioelectronic devices for healthcare monitoring and human disease treatment.
Testimonial: “Thank you so much, Sylvie Gendreau. You gave us an outstanding course, showing us how to build a magic world of imagination and creativity; I think I will benefit from this course for a long time”.
Contextual note: Yang found that integrating creative processes into his technically rigorous discipline allowed him to approach engineering challenges from new angles, leading to breakthroughs in his design and research work.
3. Teamwork and Adaptability for Ali Fazil, PhD, Electrical Engineering
Testimonial: “We tried hard to prepare it, but you enabled us to overcome challenges during projects as we performed well even when we suddenly had to change our schedule because of the absence of one of the team members. Your class was one the best experiences during my education”.
Contextual note: The course’s emphasis on interdisciplinary teamwork helped him improve his leadership skills and foster a collaborative spirit essential for complex systems integration.
4. Long-term Educational Impact for Parvin Ahmadi, AI Research Scientist | Machine Learning Engineer | NLP, LLM and GenAI | Explainable AI (Post-Doc researcher).
Testimonial: “I will always remember attending your class. I appreciate your class, and your enthusiasm for the material made me genuinely excited to come to class. It helped me to find what I truly want to do with my PhD program and where I want to go in the next few years. Thank you so much for that. I learned a lot of things from you”.
Contextual note: Parvin’s research demands high precision and innovative analytical methods. The workshop sharpened her skills and encouraged her to incorporate cross-disciplinary insights, broadening the scope and application of her work.
5. Personal and Professional Growth for Le Li, PhD, Mining Engineering
Testimonial: “I really appreciate what you've done for us. The website is so nice and interesting, and I learned a lot through the course.”
Contextual note: Le's field of study, Mining Engineering, demands innovative solutions for efficient resource extraction and safety. The workshop encouraged a multidisciplinary approach to problem-solving. This helped Le think beyond traditional mining techniques and explore new possibilities, enhancing his personal and professional development.
Key Lessons
A Vibrant educational scene inside an ornate building with stone architecture shows a female professor, Sylvie Gendreau, interacting with a diverse group of engaged PhD students. The students, some seated along the steps and some standing, are attentively listening and responding to the professor, who is standing and speaking with a smile, clearly enthusiastic about the discussion. The warm indoor lighting and the historical architectural details in the background add to the inviting and dynamic atmosphere of this learning experience.
My students' feedback serves as crucial learning points as I navigate modern education's evolving demands. Here are key lessons from pioneering interdisciplinary educational strategies.
1. Adaptability in Teaching Methods
Lesson: The necessity of continually adapting teaching strategies to meet the changing needs of students and the evolving technological landscape. This includes incorporating student feedback to tailor course content and delivery methods, ensuring educational experiences remain relevant and impactful.
2. Interdisciplinary Integration
Lesson: The value of blending disciplines in engineering education enriches students' learning experiences and prepares them for complex real-world problems. This approach breaks down traditional academic silos and fosters a broader understanding of how varied fields intersect and influence each other.
3. Importance of Soft Skills
Lesson: Soft skills like teamwork, empathy, and creative thinking are critical in technical education. These skills are indispensable in a modern workforce where emotional intelligence and the ability to collaborate effectively are just as important as technical acumen.
4. Participatory and Experiential Learning
Lesson: The effectiveness of participatory and experiential learning models in enhancing student engagement and knowledge retention. Activities like 'The Walk' or real-world problem-solving workshops allow students to apply theoretical knowledge in practical settings, enhancing their learning outcomes and readiness for professional challenges.
5. Building a Learning Community
Lesson: The benefits of creating a dynamic learning community where students, educators, and industry professionals collaborate. This community supports sharing ideas and resources, enhancing the educational experience and fostering a support network among students and alumni.
6. Navigating Information Overload
Lesson: Strategies for helping students navigate the deluge of information available in the digital age. Teaching them to evaluate and select relevant information critically is crucial for their academic success and beyond.
7. Sustainability of Educational Innovations
Lesson: Understanding the factors that contribute to the sustainability of educational innovations. This includes the need for institutional support, continuous funding, and alignment with broader educational goals and standards to keep innovative programs viable in the long term.
This case study exemplifies how traditional engineering education can be transformed through innovative teaching methods emphasizing creativity, interdisciplinary collaboration, and real-world engagement. By continuously evolving these workshops based on participants’ feedback and emerging educational needs, we ensure that our teaching methods remain relevant and practical, preparing students and leaders to succeed in their careers and to lead in creating a more adaptable, innovative engineering field.
Innovative Teaching Methodologies
One of our flagship initiatives has been complex problem-solving sessions. Here, students use real-world problems ranging from climate change to market analysis to test theories and models in a controlled yet expansive environment. This hands-on approach has enhanced their analytical skills and encouraged a deeper understanding of the interplay between technology and societal needs.
Outcomes and Insights
The outcomes have been profoundly encouraging. Students and leaders have reported greater engagement and ownership of their learning processes. Many have gone on to apply the collaborative and innovative skills they developed in our program to their professional lives, leading initiatives that require both technical acumen and creative thinking.
Fostering a Culture of Continuous Innovation
The success of these co-designed learning experiences showcases the potential of AI to transform higher education. Treating the classroom as a microcosm of the more significant technological and professional landscape prepares students and leaders to adapt to changes and drive them. This educational approach does not merely react to technological advancements but anticipates the shifts in professional landscapes, preparing students and leaders to lead confidently and creatively.
The fusion of art, science, and technology opens up new avenues for teaching and learning. By fostering an environment that encourages play, performance, and creativity, we can better prepare students for future uncertainties. This approach aligns with the philosophy of thinkers like Christopher Salter and Andrew Pickering, who advocate for a world where education transcends traditional boundaries and becomes a collaborative, immersive experience.
Our workshops and labs don't just impart knowledge; they are platforms for profound engagement with the material world. They encourage students to co-create and share their insights and innovations. Students learn and contribute to a collective understanding and innovation through these interactions.
Integrative Learning Models
The challenge is integrating soft skills and AI into education and corporate training to promote technological proficiency and a deep understanding of its societal implications.
Practical Applications and Innovations in Teaching
Our approach involves using cities, online environments, and physical spaces as living labs where students can experiment with and understand the impact of their creations in real-time. Participating in co-design sessions allows them to actively navigate and shape the digital landscape.
Furthermore, teaching should mirror the complexity of the world it prepares students and leaders for. This means adopting non-linear, multidisciplinary methods that encourage them to solve real-world problems creatively. The goal is to transform them into leaders, engineers, artists, and innovators capable of thinking across boundaries.
Towards a Future-Ready Education System
As we continue to explore the intersections of AI and education, our focus must remain on preparing students to thrive in a world where change is the only constant. By fostering an educational environment that embraces AI’s potential while addressing its challenges, we can help shape a future that values human and technological contributions.
The Art of Teaching and the Craft of Innovation
Teaching is an art that requires creativity and adaptability from both instructors and students. It inspires them to see the world differently and embrace its complex interplay.
In embracing these challenges, we prepare students for the future and inspire them to build it. Let's continue to push the boundaries of what education can achieve, fostering a generation that is as creative and wiser as it is technologically proficient.
My experiments exemplify how advanced education must evolve, emphasizing the acquisition of knowledge and its application and ethical implications in real-world settings. By bridging the gap between technology and soft skills, the workshops prepare students to be engineers, technicians, innovators, and leaders capable of thinking beyond conventional boundaries.
🟡 Key Takeaway
Our decade-long experiment in co-designing educational experiences underscores the effectiveness of hands-on, participatory learning environments in fostering academic excellence, real-world skills, and adaptability.
Embracing Innovation Amidst Resistance
Sylvie Gendreau stands on a beach while conversing with workshop participants in a semicircle, discussing the integration of creativity in professional practices for a more sustainable world.
Promoting the integration of soft skills with technical education encounters resistance. Critics argue it might detract from rigorous technical training, believing educational institutions should prioritize hard skills.
However, the complexities of today's global challenges require technically proficient professionals in negotiation, leadership, and innovation. These soft skills complement technical expertise, enabling professionals to manage projects more effectively and navigate the multifaceted human aspects of technology deployment.
Resistance to change is natural, particularly in academic environments where traditional methods have stood the test of time. Yet, the necessity to adapt is evident. Innovation in education—like in any field—necessitates stepping out of comfort zones. It requires educators and institutions to take calculated risks, which, although uncomfortable, are essential for breakthroughs in teaching and learning.
While not all innovative methods will gain widespread acceptance immediately, starting with small-scale experiments can provide proof of concept, demonstrating the value of new approaches without overhauling entire curricula. These pilot projects allow for iterative refinement and can gradually win over skeptics as the benefits become apparent.
AI is the new electricity. Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don't think AI will transform in the next several years.
Andrew Ng
Fostering a Future of Integrated Education
An intimate and focused group discussion during a creative lab workshop. The scene is set in a modern, well-lit space with a presentation in the background, where a female professor, Sylvie Gendreau, distinguished by her red hair and glasses, actively engages with a diverse group of participants seated around a circular table. They appear deeply involved in their tasks, equipped with pens, papers, and personal notes, suggesting a brainstorming session. Glasses of water on the table and casual attire contribute to the workshop's relaxed yet intellectually stimulating atmosphere.
As we stand on the cusp of significant technological and societal shifts, the need for a holistic educational approach has never been greater. To educators, policymakers, and industry leaders: now is the time to champion the integration of soft skills with technical education. This isn't just about producing more well-rounded professionals; it's about preparing a workforce capable of leading ethical, socially responsible, and innovative projects in the face of global challenges.
Educators are encouraged to experiment with integrated teaching methodologies, even on a small scale. Institutions should support these endeavours by providing the necessary resources and flexibility. Industry leaders can contribute by partnering with educational institutions to provide real-world insights and opportunities that reinforce the importance of soft skills.
Let's be bold in our educational strategies, pushing boundaries to create environments that respond to and anticipate changes. This commitment to innovation prepares students and leaders for today's jobs and tomorrow's challenges.
In Summary…
The Imperative of Soft Skills in Technological Education
The Challenge
In the rapidly evolving landscape of technology and engineering, a growing concern is that overemphasizing technical skills may lead to a deficiency in soft skills among professionals. These skills, which include leadership, communication, empathy, teamwork, critical thinking and adaptability, are crucial for successfully implementing technological solutions in real-world settings. Without these skills, technologists risk creating solutions that are out of touch with societal needs and ethical considerations.
Integrating Soft Skills
To counteract this trend, it's imperative that educational programs, especially those in highly technical fields, incorporate comprehensive training in soft skills. This integration can transform how technologists engage with the world, ensuring they are proficient in their technical domains and adept at managing the human dimensions of technology implementation.
Proposed Approach
Curriculum Design: Embed soft skills training within the core engineering and technology curriculum. For example, project-based learning modules can be designed to require cross-disciplinary teamwork, effective communication, and ethical decision-making.
Workshops and Seminars: Regular workshops on conflict resolution, leadership, and cultural competency can be included. Experts from the humanities and social sciences can lead these workshops to provide diverse perspectives and use methodologies such as design thinking and living labs.
Real-World Exposure: Internships and cooperative educational opportunities with communities, cities, companies and organizations that emphasize a holistic approach to technology development can provide practical experience in applying soft skills in professional settings.
Evaluation and Reflection: Incorporate reflective assessments that encourage students and leaders to think critically about how they are applying soft skills in their project work. This could be facilitated through journals, peer feedback, portfolio reviews, and coaching from soft skills experts.
Long-Term Benefits
Integrating soft skills into technology education enhances technologists' interpersonal effectiveness and ensures technological advancements are driven by a deep understanding of societal contexts. This fosters ethical, user-friendly, and socially beneficial technology.
As we stand on the brink of major technological revolutions, from AI to quantum computing, the need for a workforce as skilled in empathy and ethics as in engineering and analytics cannot be overstated. By reshaping our educational paradigms to include soft skills, we prepare a new generation of technologists to lead with their minds and hearts.
Imagine, Create, Experiment
Imagine a future where education transcends traditional boundaries, merging with the dynamic capabilities of artificial intelligence. Envision learning environments where soft skills and technological prowess coexist, enhancing each student's unique potential.
Create pathways within your institution or organization that embrace this holistic approach. Develop technically rigorous programs with opportunities to foster critical thinking, empathy, and collaboration. By doing so, you can cultivate a workforce proficient in AI and adept in the human interactions that drive innovation.
Experiment with new methods and ideas, even if they challenge conventional norms. The journey of innovation is paved with trials and adaptations. Encourage your teams to take calculated risks and embrace the creative discomfort of exploring uncharted territories.
For Visionary Leaders:
Why This Matters to You?
As we move into an era dominated by AI and rapid technological change, the lessons from educational experiments like those described here directly apply to organizational leadership and development. Embracing a culture that values continuous learning and interdisciplinary thinking can dramatically enhance your organization’s adaptability and creative output.
Leaders who foster an environment where innovation is nurtured, and failure is seen as a stepping stone to success will be better positioned to lead their teams through the complexities of the modern business landscape.
Encourage your teams to:
Challenge the status quo and rethink how they approach problem-solving and innovation.
Integrate diverse disciplines to enrich solutions and strategies, much like blending arts and sciences, can enhance learning.
Cultivate a culture of co-creation where every team member feels valued and empowered to contribute their unique perspectives.
Stay tuned for our next article, where we delve into the breakthroughs in The Future of Video: Generative AI Models Leading the Way. We'll explore groundbreaking advancements in video technology. Discover how technology, art, and narrative fusion reshape modern filmmaking and the valuable lessons leaders can learn from this innovative confluence. Don't miss out on this exciting journey into the future of video!
References:
Ng, A. and Widom, J. 2014. Origins of the Modern MOOC (xMOOC), ai. Standford.edu http://www. andrewng.org/?portfolio=origins-of-the-modern-mooc-xmooc.
Morin, Edgar. 1999. Les sept savoirs nécessaires à l’éducation du futur. Edited by Unesco. Paris: Seuil.
Pickering, Andrew. 2013. Being in an Environment: A Performative Perspective. In Natures Sciences Sociétés 21:77-83
Salter, Christopher (author) & Pickering Andrew (Afterword). 2015. Alien Agency: Experimental Encounters with Art in the Making,Cambridge. MA. MIT Press.
Stahl, Gerry. 2016. From Intersubjectivity to Group Cognition. Computer Supported Cooperative Work (CSCW), vol. 25, no. 4, pp. 355-384.
Stahl, G. 2006. Group cognition, Computer Support for Building Collective Knowledge. Cambridge. MA. MIT Press.
