Yang, Jie, DeVore, Seth, Hewagallage, Dona, Miller, Paul, Ryan, Qing X., and Stewart, John. Using machine learning to identify the most at-risk students in physics classes. Retrieved from https://par.nsf.gov/biblio/10201361. Physical Review Physics Education Research 16.2 Web. doi:10.1103/PhysRevPhysEducRes.16.020130.

Yang, Jie, DeVore, Seth, Hewagallage, Dona, Miller, Paul, Ryan, Qing X., & Stewart, John. Using machine learning to identify the most at-risk students in physics classes. Physical Review Physics Education Research, 16 (2). Retrieved from https://par.nsf.gov/biblio/10201361. https://doi.org/10.1103/PhysRevPhysEducRes.16.020130

Yang, Jie, DeVore, Seth, Hewagallage, Dona, Miller, Paul, Ryan, Qing X., and Stewart, John. "Using machine learning to identify the most at-risk students in physics classes". Physical Review Physics Education Research 16 (2). Country unknown/Code not available. https://doi.org/10.1103/PhysRevPhysEducRes.16.020130. https://par.nsf.gov/biblio/10201361.

@article{osti_10201361,
place = {Country unknown/Code not available}, title = {Using machine learning to identify the most at-risk students in physics classes}, url = {https://par.nsf.gov/biblio/10201361}, DOI = {10.1103/PhysRevPhysEducRes.16.020130}, abstractNote = {}, journal = {Physical Review Physics Education Research}, volume = {16}, number = {2}, author = {Yang, Jie and DeVore, Seth and Hewagallage, Dona and Miller, Paul and Ryan, Qing X. and Stewart, John}, editor = {null} }