| Popis: |
While some experimental biologists view bioinformatics as a servant, I argue that it is rapidly turning into the queen of molecular biology. I will illustrate this view by showing how recent computational developments brought down biological dogmas that remained unchallenged for at least three decades. Specifically, I will discuss the N-end theory connecting the protein half-life with N-terminal Methionine Excision, the Master Alu Theory explaining repeat proliferation in the human genome, and Random Breakage Model of genome rearrangements. In the second part of the talk, I will discuss a century-old dogma about the traditional classroom and describe the recent efforts to repudiate it using Intelligent Tutoring Systems. I will describe a new educational technology called a Massive Adaptive Interactive Text (MAIT) that can prevent individual learning breakdowns and outperform a professor in a classroom. I will argue that computer science is a unique discipline where the transition to MAITs is about to happen and will describe a bioinformatics MAIT that has already outperformed me. In difference from existing Massive Online Open Courses (MOOCs), MAITs will capture digitized individual learning paths of all students and will transform educational psychology into a digital science. I will argue that the future MAIT revolution will profoundly affect the way we all teach and will generate large population-wide datasets containing individual learning paths through various MAITs. |
