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It has long been recognized that academic success is a result of both cognitive and non-cognitive dimensions acting together.
Knowledge tracing: Modeling the acquisition of procedural knowledge
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Creativity: Flow and the Psychology of Discovery and Invention
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So, what’s a learning outcome anyway?
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Random projection in dimensionality reduction: applications to image and text data
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Quantile Regression
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Formative assessment and self-regulated learning: a model and seven principles of good feedback practice
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Nonparametric quantile estimation
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Assessing learning outcomes in quantitative courses: Using embedded questions for direct assessment
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Sherpa: increasing student success with a recommendation engine
R. Bramucci and J. Gaston · 2012
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Individualized bayesian knowledge tracing models
M. V. Yudelson, K. R. Koedinger, and G. J. Gordon · 2013
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Outcome-based education – the assessment of programme educational objectives for an engineering undergraduate degree
K. Tshai, J.-H. Ho, E. Yap, and H. Ng · 2014
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Towards feature engineering at scale for data from massive open online courses
K. Veeramachaneni, U. O’Reilly, and C. Taylor · 2014
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Predicting students’ final exam scores from their course activities
M. Mogessie, G. Riccardi, and M. Ronchetti · 2015
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
A. Nguyen, J. Yosinski, and J. Clune · 2015
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Measuring resilience as an education outcome, 06 2016
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The use of nudges and other behavioural approaches in education
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
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Generating actionable predictions regarding mooc learners’ engagement in peer reviews
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What does time tell? tracing the forgetting curve using deep knowledge tracing
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Explainable ai for trees: From local explanations to global understanding
S. M. Lundberg, G. Erion, H. Chen, A. DeGrave, J. M. Prutkin, B. Nair, R. Katz, J. Himmelfarb, N. Bansal, and S.-I. Lee · 2019
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Modeling students’ behavior using sequential patterns to predict their performance
M. Mirzaei and S. Sahebi · 2019
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Deepfm: A factorization-machine based neural network for ctr prediction
H. Guo, R. Tang, Y. Ye, Z. Li, and X. He · 2017
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A new method to measure flow in professional tasks - a flow-w questionnaire (flow at work)
B. Wolfigiel and A. Czerw · 2017
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The role of grit in education: A systematic review
M. Christopoulou, A. Lakioti, C. Pezirkianidis, E. Karakasidou, and A. Stalikas · 2018
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Adaptive learning machine for score improvement and parts thereof, 3 2018
K. Faldu, A. Avasthi, and A. Thomas · 2018
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Where’s the reward? a review of reinforcement learning for instructional sequencing
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Auto generation of diagnostic assessments and their quality evaluation
S. Dhavala, C. Bhatia, J. Bose, K. Faldu, and A. Avasthi · 2020
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Explaining machine learning classifiers through diverse counterfactual explanations
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Beyond expectation: Deep joint mean and quantile regression for spatiotemporal problems
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