1. Kayhan Moharreri, Minsu Ha and Ross H Nehm (2014)

EvoGrader: an online formative assessment tool for automatically evaluating written evolutionary explanations, Evolution: Education and Outreach 2014, 7:15

2. Beggrow, E. P., Ha, M., Nehm, R. H.,Pearl, D., & Boone, W. J. (2014)

Assessing scientific practices using machine-learning methods: How closely do they match clinical interview performance ? Journal of Science Education and Technology, 23(1), 160-182.

3. Nehm, R. H., Ha, M., & Mayfield, E. (2012)

Transforming biology assessment with machine learning: Automated scoring of written evolutionary explanations. Journal of Science Education and Technology, 21(1), 183-196.

4. Ha, M., Nehm, R. H., Urban-Lurain, M. & Merrill, J. E. (2011)

Applying computerized scoring models of written biological explanations across courses and colleges: Prospects and limitations. CBE-Life Science Education, 10, 379-393.

1. Federer, M. R., Nehm, R. H., Opfer, J. E., & Pearl, D. (in press)

Using a Constructed-Response Instrument to Explore the Effects of Item Position and Item Features on the Assessment of Students’ Written Scientific Explanations. Research in Science Education.

2. Opfer, J. E., Nehm, R. H., & Ha, M. (2012)

Cognitive foundations for science assessment design: Knowing what students know about evolution. Journal of Research in Science Teaching, 49(6), 744–777.

3. Nehm, R. H., Beggrow, E. P., Opfer, J. E., & Ha, M. (2012)

Reasoning about natural selection: Diagnosing contextual competency using the ACORNS Instrument. The American Biology Teacher, 74(2), 92-98.

4. Database of 80 questions to aid evaluation using ACORNS instrument