Performance Factors Analysis - A New Alternative to Knowledge Tracing

By Philip I. Pavlik, Hao Cen, K. Koedinger. International Conference on Artificial Intelligence in Education, 2009

705 citations recorded by the source corpus.

Subfields: Management Information Systems

View Paper: https://www.semanticscholar.org/paper/9588acb2634d7a19124d6012e0b4f1ea1c9736ea

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

Citations in the corpus

Knowledge Tracing: A Survey (2022, methodology): “Later, with the rise of classic machine learning methods such as logistic regression models [117], another direction followed by KT is to use parametric factor analysis approaches which trace a student’s knowledge states and perform the answer prediction based on modeling a variety of factors [16, 1”
Stupid Tutoring Systems, Intelligent Humans (2016, result): “But here, despite the decades of work on knowledge modeling, and the intense competition between approaches seen in published papers (see, for instance, Pavlik et al. 2009; Pardos et al. 2011; Papousek et al. 2014), the approaches used in practice are largely fairly simple.”
Context-Aware Attentive Knowledge Tracing (2020, methodology): “, the number of total attempts and correct attempts on this concept) [15, 22].”
Mining Big Data in Education: Affordances and Challenges (2020, methodology): “Extensions of PFA are an active area of research—for instance, to investigate the relative predictive value of recent performance versus older performance (Galyardt & Goldin, 2015), to investigate individual differences in learning rate (Liu & Koedinger, 2015), and to better understand mastery crite”
A review of recent advances in learner and skill modeling in intelligent learning environments (2012, methodology): “There exists ongoing debate as to the best approach for computing parameters, including Expectation Maximization and Brute Force/Grid Search (Pavlik et al. 2009b; Gong et al. 2010).”
Deep Knowledge Tracing (2015, methodology): “Simpler models from the Performance Factors Analysis (PFA) framework [24] and Learning Factors Analysis (LFA) framework [3] have shown predictive power comparable to BKT [14].”
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing (2010, methodology): “Additionally, Pavlik et al [10] have reported using different algorithms, as well as brute force, for fitting the parameters of their models.”