What does it take to make the university the best learning experience in the lifecycle of one’s education? Higher education is all about developing skills, exploring new theories, and applying them to the actualities of real life. Throughout this journey, students are encouraged to stay on top of their workload, study, and complete assessments all while simultaneously leading a healthy, active, and balanced social life.
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The essential materials relied on at university include books, books, and more books. As we move into an age of digitalization of practically everything, there is a reason to believe that the existing higher education model should too be digitalized to allow for an enhanced university experience.
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Based on a one-module-fits-all curriculum, where students are all expected to learn the same thing in the confines of a classroom, they will then be assessed by examinations based on rigid criteria to determine a pass or fail. These intrinsic features of the education system do little to contribute to an enhanced learning experience. Instead, prospects for development under the current model seems to have come to a halt.
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Having the entire world become digitalized is essential as little else could be more detrimental to the future than our young minds being taught in obsolete ways. Artificial intelligence has disrupted almost every industry. The AI market is expected to generate $3 trillion in revenue by 2024.
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AI’s ability to make recommendations and produce answers based on patterns and inferences is precisely what humans cannot do on a mass scale – and precisely what our existing university structure demands.
University 20.35, (https://2035.university/en/), introduces the first university model that provides opportunities for professional development by creating individual educational trajectories and tracking digital skill profiles using artificial intelligence.
The use of digital footprints, which the platform collects during educational processes measures and analyses the students’ skills. Then, it confirms or refutes whether a trajectory module teacher can efficiently transfer skills to the students.
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We might conjure up images in our heads of groups of students studying together, in an attempt to improve their existing skills and fill in the gaps in their knowledge. Before the introduction of AI, this image of students was the only one conceivable, but it’s not the most effective.
AI, through the collection and analysis of digital footprints, allows for the creation of each students’ digital twin. Digital twins are essentially the digital replica of physical assets, i.e., the physical twin or the replica is of the student.
This accurate and near to real-time data based on digital footprint as well as some biological data can help to establish better solutions for students. This includes the biological of the surroundings as well as personal biolgical data. The application of the digital twin in higher education has the potential to shed light on gaps in the student’s knowledge, their forgetfulness, and hone in on their strengths.
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Through AI, digital twins can materialize into a functional and personal study buddy.
Twinning is effectively a solid starting point for the development of a proactive educational study plan. From here, as the data reflects the student’s actual profile, the near to real-time data of the students’ progress will represent the students’ knowledge and skills.
Twinning can also be modeled to take into account what the student forgets and the skills they are practicing. The digital economy awaits, and as things stand, the next generation of our workforce have been and continue to be, educated and trained in an educational model that is incompatible with the digital future.
Link to the rest at readwrite
PG notes that the computer becomes the books in this model.