Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jason Morphew, Purdue University; Amirreza Mehrabi, Purdue Engineering Education; Ben Van Dusen, Iowa State University of Science and Technology; Jayson Nissen

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

estimate student proficiency, CDMsuse latent classes to classify students by their mastery of underlying skills [40,42,43]. Skills cutacross content areas and multiple skills may be needed to correctly solve an item. CDMs areclassification models that aim to classify a student’s skill mastery for predetermined skillsidentified by content experts (See Table 1 for definitions). The skills require to correctly answer aquestion are coded dichotomously within matrix called the Q-matrix, which is used by DCMs toestimate mastery. While there are many CDMs, the simplest is the Deterministic Inputs, Noisy"And" gate (DINA) model. DINA is a crucial cognitive diagnostic tool to effectively estimate skillmastery, such as proficiency in applying vectors in

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Junior Anthony Bennett, Purdue University; Jason Morphew, Purdue University; Michele W. McColgan, Siena College

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

attention differently in examining physics diagrams? A study of change detection using the flicker technique,” Physical Review Physics Education Research, 11(2), 020104, 2015. https://doi.org/10.1103/PhysRevSTPER.11.020104 [36] J. W. Morphew, E. P. Kuo, Q. King-Shepard, P. Kwon, R. Lin, T. J. Nokes-Malach, and J. P. Mestre, “Seeing and doing are not believing: Investigating when and how conceptual knowledge impinges on observation and recall of physical motion,” Journal of Experimental Psychology: Applied, 27(2), 307-323, 2022. https://doi.org/10.1037/xap0000338[37] M. Perry, R. Breckinridge Church, and S. Goldin-Meadow, “Transitional knowledge in the acquisition of concepts,” Cogn. Dev., vol. 3, no. 4, pp. 359–400, Oct. 1988

Conference Session

Engineering Physics and Physics Division Technical Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

JAMES WANLISS, Anderson University

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

. U., Bao Zhengrui, Song Xueying, and D. E. N. G. Wei. "Research on short-term load forecasting method of power grid based on deep learning." Modern electric power 35, no. 2 (2018): 43-48.[12] Shuvro, Rezoan A., Pankaz Das, Majeed M. Hayat, and Mitun Talukder. "Predicting cascading failures in power grids using machine learning algorithms." In 2019 North American Power Symposium (NAPS), pp. 1-6. IEEE, 2019.[13] Wanliss, J. A., and L. A. G. Antoine. "Geomagnetic micropulsations: Implications for high resolution aeromagnetic surveys." Exploration Geophysics 26, no. 4 (1995): 535-538. https://doi.org/10.1071/EG995535[14] Busby, Joshua W., Kyri Baker, Morgan D. Bazilian, Alex Q. Gilbert, Emily Grubert

Conference Session

Engineering Physics and Physics Division Technical Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emmabeth Parrish Vaughn, Austin Peay State University; Steven Warth, Austin Peay State University; Bobette Bouton, Austin Peay State University

Tagged Divisions

Engineering Physics and Physics Division (EP2D)