WIP Datastorm – Using Data Driven Competition to Improve Student Engagement in Computer Science


Ankunda R. Kiremire

Kevin Cherry

Computer Science Department, College of Engineering and Science, Louisiana Tech University

Problem

The Computer Science program at our institution, like many others across the country, has a problem of high drop-out rates.

Methods

data sources icon Using data sourced from real world applications and/or businesses that the students are passionate about to counteract sense of disillusion and detachment.

system design icon Using hardware and software systems designed to allow students to submit solutions and get feedback in real time in an interactive and engaging manner.

In class challenges icon Setting aside class time to allow students to participate in In-class challenges selected to test their grasp of small but central concepts in the previous lectures.

Datastorm event icon Hosting final day long datastorm event which would allow for evaluation of all concepts covered in entire class while nurturing soft skills required to work in teams in a competitive environment.

Engaging system design allows for student teams to check their progress within the challenges as well as see the progress of other teams in the class.

Results

Over 87% of our polled students expressed a preference for the interactive nature of the datastorm system as a style of teaching/learning.

Questions and Future Plans

data sources icon Does the competitive nature of the datastorm system alienate some demographics instead of helping them?

In class challenges icon Other than preference, is there a measurable difference in class performance?

system design icon Identify and nurture partnerships with local businesses with access to culturally relevant data.

Datastorm event icon Hold and evaluate day long datastorm events.

Are real-world challenges the solution to high drop-out rates in Computer Science?