technology, for now the autonomous car for education is a vision. With a multi-layered decision and recommender system that is capable of more than navigation only, I expect that teachers will gain time to build the personal and emotional connection with the learners.Īlthough there is enough reason to believe that the autonomous car for education can be created with current A.I. “Multiple intelligent system work together to support the learning journey” Last but not least, an emotion detection system runs on the background to detect whether or not the student is positively engaged with the task at hand can intervene when needed. This is similar to how besides navigating, an autonomous car should be able to work out traffic situations. Simultaneously, a natural language processing system can be used to interpret and resolve learning needs for the situation at hand, such as text comprehension in a mathematics exercise. At the basis there is a knowledge graph that is used to recommend the optimal learning path, similar to how a navigation system recommends the best route depending on your location and destination. In the analogy, multiple intelligent systems work together to support the learning journey. The picture below illustrates the analogy. Finally it must be able to monitor the students physically and emotionally. It must also do more than just navigate through learning material, it must be able to interpret and apply pedagogic rules. Our self driving car for education needs to guide learners through a curriculum in a safe, reliable and efficient way. Now let’s examine the analogy with education. With current autonomous cars, the driver can however still take back full control at any time. ![]() If this all works, the idea is that the driver can spend time on other things besides controlling the vehicle. In other words, they simultaneously use multiple intelligent, and interconnected systems. Such cars do not only rely on a navigation system, they must also interpret and apply traffic rules and monitor their physical surroundings. Self-driving cars are currently being developed that will take us from A to B in a safe, reliable and efficient way. ![]() “Artificial Intelligence to augment the reasoning of human teachers” And today, Artificial Intelligence is capable of doing just that: human-like reasoning and decision making in the context of education. For example, automating the decision on what learning material is best for individuals at a certain point in time, given desired learning outcomes. The answer to this, in short, lies in the use of Artificial Intelligence to augment the reasoning of human teachers.Īugmenting essentially means that certain teaching tasks are being automated to scale. The real question we need to ask ourselves is how technology helps mitigate the shortage of teachers. From this perspective, the question whether algorithms will be able to replace teachers is not relevant anymore. “Critical challenge of 21st century education: the shortage of teachers”Įducation needs to cater a growing demand for education worldwide while there is insufficient teaching capacity. Although I am inclined to agree with this idea as well, I believe that Jay Lynch does not take into account a critical challenge of 21st century education: the shortage of teachers. However, his deeper reasoning seems to be that (Artificial Intelligence) algorithms cannot replace teachers. Most people, including myself, will not find it difficult to agree with Jay Lynch on the part that Netflix falls short as a guiding example for education. A personalized learning system, he describes, must enhance the emotional and personal connection between learners and teachers, rather than obviate it. ![]() In his blog post, Jay Lynch argues that creating personalized learning is more than trying to create the Netflix of education. I will use a self-driving car analogy as a guiding example for the type of personalized learning systems that 21st century education needs. Rather, the relevant question is how technology can augment our teachers, to make use of their valuable time in a better way. Comparing technology with human-like performance is not relevant today. That is because it can’t mimic education guided by a human teacher. Creating a Netflix for education may sound appealing to many, but Netflix falls short as a guiding example for personalized learning solutions.
0 Comments
Leave a Reply. |