Epplets - Publications/Presentations

At this site, you will find publications on epplets. The papers are available in pdf format. If you have problems accessing any paper, please contact amruth@ramapo.edu.
Evaluation: The following are presentations and publications on the evaluation of epplets:
  1. Kumar, A.N. Do Students Use Semantics When Solving Parsons Puzzles? - A Log-Based Investigation. Proceedings of Intelligent Tutoring Systems (ITS 2021), Online, 6/7-11/2021. (pdf)
  2. Salil Maharjan and Amruth Kumar. Using Edit Distance Trails to Analyze Path Solutions of Parsons Puzzles. Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020). Online, 7/10-13/2020, pp 638-642. (pdf)
  3. Kumar, A.N. Helping Students Solve Parsons Puzzles Better. Proceedings of Innovation and Technology in Computer Science Education (ITiCSE 2019), Aberdeen, Scotland, 7/15-17/2019. (pdf)
  4. Kumar, A.N. Representing and Evaluating Strategies for Solving Parsons Puzzles. Proceedings of Intelligent Tutoring Systems (ITS 2019), Kingston, Jamaica, 6/3-7/2019. (pdf)
  5. Kumar, A.N. Mnemonic Variable Names in Parsons Puzzles. Proceedings of ACM Global Computing Education Conference (CompEd 2019}, Chengdu, China, 5/17-19/2019. (pdf)
  6. Kumar, A.N. Epplets: A Tool for Solving Parsons Puzzles. Proceedings of SIGCSE Technical Symposium (SIGCSE 2018), Baltimore, MD, 2/21-24/2018. (pdf)
  7. Kumar, A.N. The Effect of Providing Motivational Support in Parsons Puzzle Tutors. Proceedings of Artificial Intelligence in Education (AI-ED 2017), LNAI 10331, Wuhan, China, 6/25-28/2017, 528-531. (pdf)
  8. Alessio Gaspar, A.T.M. Golam Bari, Amruth N. Kumar, Anthony Bucci, R. Paul Wiegand and Jennifer L. Albert, Evolutionary Practice Problems Generation: Design Guidelines, Proceedings of 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, CA, 11/6-8/2016.
  9. Dimension Extraction Analysis of Student Performance on Problems, Wiegand, P., Bucci, A., Kumar, A.N., Albert, J., and Gaspar, A., Proceedings of The 29th International FLAIRS Conference, Key Largo, FL, 5/16-18/2016, 467-472. (pdf)
  10. A data-driven analysis of informatively hard concepts in introductory programming. Wiegand, P., Bucci, A., Kumar, A.N., Gaspar, A., and Albert, J., Proceedings of The Forty-seventh SIGCSE (Special Interest Group on Computer Science Education) Technical Symposium on Computer Science Education (SIGCSE 2016). Memphis, TN, 3/2-5/2016, 370-375. (pdf)

Amruth Kumar, amruth@ramapo.edu