scholarly journals Item Response Theory Based Ensemble in Machine Learning

2020 ◽  
Vol 17 (5) ◽  
pp. 621-636 ◽  
Author(s):  
Ziheng Chen ◽  
Hongshik Ahn
Keyword(s):  
Machine Learning ◽  
Item Response Theory ◽  
Item Response ◽  
Response Theory

scholarly journals We Can Do That? Technological Advances in Interest Assessment

2019 ◽  
Vol 28 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Terence J. G. Tracey
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Item Response Theory ◽  
Item Response ◽  
Response Latency ◽  
Dynamic Assessment ◽  
Response Theory ◽  
Technological Advances ◽  
Interest Assessment

Technology holds the promise of greatly altering the conduct of interest assessment. I review five technological advances that currently exist and present how they can be incorporated into our interest measures and procedures: (a) dynamic assessment using item response theory, (b) adapting interpretations to individual users, (c) incorporating response latency, (d) gamification of interest measures, and (e) incorporating big data and machine learning. Using these advances in our assessments and procedures can structurally change what we do and enhance the precision of our measures.

scholarly journals Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems

2019 ◽  
Vol 137 ◽  
pp. 91-103 ◽  
Author(s):  
Konstantinos Pliakos ◽  
Seang-Hwane Joo ◽  
Jung Yeon Park ◽  
Frederik Cornillie ◽  
Celine Vens ◽  
...  
Keyword(s):  
Machine Learning ◽  
Item Response Theory ◽  
Item Response ◽  
Adaptive Learning ◽  
Cold Start ◽  
Learning Systems ◽  
Response Theory ◽  
Adaptive Learning Systems ◽  
Cold Start Problem

scholarly journals Item response theory in AI: Analysing machine learning classifiers at the instance level

2019 ◽  
Vol 271 ◽  
pp. 18-42 ◽  
Author(s):  
Fernando Martínez-Plumed ◽  
Ricardo B.C. Prudêncio ◽  
Adolfo Martínez-Usó ◽  
José Hernández-Orallo
Keyword(s):  
Machine Learning ◽  
Item Response Theory ◽  
Item Response ◽  
Response Theory ◽  
Machine Learning Classifiers ◽  
Learning Classifiers

How Do Psychologists Learn Item Response Theory?

2001 ◽  
Vol 46 (6) ◽  
pp. 629-632
Author(s):  
Robert J. Mislevy
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Response Theory
Sign in / Sign up

Export Citation Format

Share Document