Wolfram Computation Meets Knowledge

Wolfram Summer School

Alumni

Max Yazhbin

Summer School

Class of 2014

Project: Automated Programming Problem Generator

Towards intelligent computer science learning

Traditional education involves humans’ interaction with humans using technology that dates from at least 100 years ago, and there is a push from governments, private educational institutions, and compassionate teachers to use more recent technologies in a seamless and effective manner. There have been many attempts over the past 10–20 years to generate more computer-based evaluations of a student’s performance in order to give instant feedback to the student, yet all previous attempts suffered from unintelligent feedback or ineffective means of communication. Just in the last five years, there has been the massive open online courses (MOOCs) movement in order to make the best lectures from top universities available for free, yet smart evaluation systems are not in place to act as if a real instructor was there to assist students. The purpose of this project is to form a set of codes to address those challenges by:

  • Creating a set of problems that are on the same level irrespective of the user.
  • Requesting user input to solve a particular problem.
  • Trying to figure out what the user did incorrectly if s/he made a mistake.
  • Giving a hint to the user to see if s/he can give the correct answer.
  • Keeping track of the user’s progress and give a summary of their performance and an in-depth look at what they did wrong.

Favorite Outer Totalistic r=1, k=2 2D Cellular Automaton

Rule 15257

Wolfram Summer School | Champaign, IL, USA | July 3 29–July 22, 2022

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