Exploring 5 Use Cases of AI in Construction Management
Dmytro Spilka·5 min
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I am sure many teachers and professors recognize the situation sketched above. How to parry it? I asked this question to one of the leading educational innovators at my Fontys Universities in the Netherlands: Eric Slaats. His answer was loud and clear. “Carl, you have lots of experience as a future forecaster. You have taught masterclasses at 52 universities on four continents. You were awarded a professorship Future Forecasting and Innovation by the municipality of Shanghai in that most exciting city. Simply tell your students this. Further, inform them of the general topic of today’s class. And simply ask: What do you want to know?” I followed his advice: telling the students about my expertise and the topics for class today and taking it from there, which meant following their questions. In the beginning, I was ill at ease — could I answer the questions from my students? And my students were also ill at ease. They could not lay back anymore, passively waiting whether the teacher was cool enough and if his performance would surpass the niceties of social media. Now they were forced to reflect on what they wanted to know. It turned out that they too found it quite hard to leave the 19th century. But we managed and now my evaluation scores are rising. Students get what they need and really want to know. And I as a teacher get more in touch with their needs, interests, and passions. It is a win-win situation. Welcome to the 21st century.
This is why skill-based education has become such a buzzword.
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My solution for transforming an inadequate 19th century educational setting of one-way communication into a more appealing and interactive 21st-century one doesn’t stand on its own. After all, the outdated character of traditional education is recognized all around. In our fast and liquid society, knowledge institutes have to prepare students for future jobs that might not even exist today. As a consequence, what knowledge these students need, is a challenge to predict. It is somewhat easier to focus less on the actual knowledge and more on the skills they will need for a successful career in the 21st century, which are easier to predict. This is why skill-based education has become such a buzzword. Education on my own Fontys University in the Netherlands revolves around the four C skills that have been determined as essential for the 21st century: Creativity, Communication, Collaboration, and Critical Thinking. It is obvious that you can’t practice these skills within the 19th century ‘one-way communication’ frame. Another buzzword used at our university, as in so many others, is Challenge-Based Learning. Challenge-Based Learning is based on real challenges students encounter in their social lives and future professional ones — and that they want to solve. It is a more practical, more hands-on and more collaborative approach to education: fully 21st century.
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When we go fully 21st century, what role will, can or should there be for AI? We will see how MOOCs (massive open online courses) are liberating education. And how AI plays a role in this. We will also explore the next step: meticulous surveillance education. Here the role of AI deepens, up to the point where we might no longer feel comfortable with it. Actually, we can get so uncomfortable with it, that at some surprising places, education will go mainly offline again.
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Online teaching is eminently solitary. It makes studying extra hard. The best MOOCs are therefore intensely and extensively improving the interaction caliber of the course. When students are asked afterward what they appreciated most about their online course, they often mention the online group experiences. People flourish when they communicate. MOOCs must take this universal insight to heart. AI-generated insights can help to soften the problem of solitariness, to live up to the challenge. They teach the MOOC provider ever better what kinds of students really need an interactive moment, at what point of time, and with what kind of approach. Must the teacher interfere? Can a co-student be helpful enough? Or does it require participation in a collaborating group? Yes, MOOCs solitude can be demotivating. But AI’s algorithms are starting to know how to overcome this, for each individual in his or her own unique way.
Last but not least, there is another disadvantage of MOOCs. Yes, their AI approach to learning allows for adaptation to our specific learning styles with a personalized accuracy that goes way beyond what is possible in a traditional class. But when we take it one step further, this powerful advantage can become an intrusion into our private lives. MOOCs are monitoring us in mysterious ways that we cannot control. In that sense, MOOCs are becoming part of a surveillance culture that can feel uncomfortable, or even creepy. To illustrate this point, let’s move on to what might become the next step in education: AI-led surveillance education.
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Parents have a tendency to appreciate the advantages of AI-led surveillance education. After all, studying a child costs a lot. Students themselves are more ambiguous. And shouldn’t we all be? What will be left of the romanticized pre-AI freedom of student life? Don’t we all intuitively feel that real learning can’t blossom without a certain amount of freedom? And isn’t the tight monitoring control of AI-led surveillance education killing that freedom? Doesn’t it result in the ultimate ‘monetization’ of human life and learning? Are the next generation students not becoming cyborg-like machines, performing better than former generations but mysteriously losing some of their humanity? And this all on a ‘voluntary’ basis? Because when the neighbor’s kids enter AI-led surveillance education, making them better performers, how wise is it to put your own kids behind? On the other hand, as Alex Beard reflects in his book ‘Natural-born Learners’, isn’t AI-led surveillance education, in spite of all its personalization and flexibility, churning out “mass-produced, unthinking, high-performance drones that ace tests but lack the social and emotional skills to really succeed in the world”?
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These questions are both philosophical and disturbing. As a consequence, a movement is on the rise that wants to counterbalance too much tech dependency in our education — and in our lives for that matter. Digital detox is a new buzzword in many places. Those who practice it, including many students of my own Fontys University, mainly discover how addicted they are. (How difficult it is to have your digital detox day, and not telling it on social media!) When it comes to forms of tech-free/low-tech education, there is one place that surprisingly leads the way: Silicon Valley! The tech families who work in the corporates that transform the rest of us into tech-addicts send their kids increasingly to Waldorf schools where access to technology is substantially hampered (until the age of 13, 14) and where learning is done through play, doing and community. At the family dinner table, Steve Jobs was a tech-refusenik: mobiles forbidden. Something alike goes for the kids of Bill and Melinda Gates: low-tech education.
Apparently, the leaders of the tech-revolution are deciding that too much tech in education, including AI-programmed learning, can be harmful. When AI-surveillance enters education, it might distract us from acquiring the four C-skills that will determine success in the 21st century: Creativity, Communication, Collaboration, and Critical Reflection. These are deeply human key abilities.
They should be empowered by AI. Not overridden.
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