This site is the home of the NCSU Game2Learn Lab research group directed by Dr. Tiffany Barnes. Here you can find the latest information on the research projects the lab has been working on.


Lead by Dr. Tiffany Barnes, the Game2Learn group researches the impact of games and data-driven adaptation on learning through a number of innovative approaches. We build games and interactive tools for learning in math and computing, building social networks, promoting exercise, and visualizing interaction data from games and learning environments. We are particularly motivated by finding ways to embed data-driven artificial intelligence and educational data mining techniques into game and learning environments to support learners and improve our understanding of learning. We investigate these data-driven techniques to support learning primarily in our Deep Thought logic tutor, but we are extending our techniques for novice programmers in the Bots programming game and the Snap programming environment. We are particularly excited to be building new collaborations to apply our data-driven automatic hint generation and student work visualization and analytics to new games and tutors for physics and probability. Check the research page for more information.


The Game2Learn Lab has many students and is always looking to recruit hard working, skilled and motivated students. There are numerous ways for you to become a member of the Game2Learn research group. If you are an undergraduate student interested in doing a senior project for Dr. Barnes, please see the open positions section below. For Masters or Doctoral students interested in working in our laboratory, check the research projects page and contact Dr. Barnes directly with information about which project interests you the most. Also for post-doctoral students interested in educational software, educational data mining, or other similar topics found on the research page, contact Dr. Barnes for additional information and the currently available opportunities for working with the Game2Learn research group.