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Estimation of Multidimensional Item Response Theory Models with Correlated Latent Variables Using Variational Autoencoders

Artificial neural networks with a specific autoencoding structure are capable of estimating parameters for the multidimensional logistic 2-parameter (ML2P) model in item response theory (Curi et al. in International joint conference on neural networks (IJCNN), 2019), but with limitations, such as uncorrelated latent traits. In this work, we extend variational auto encoders (VAE) to estimate item parameters and correlated latent abilities, and directly compare the ML2P-VAE method to more traditional parameter estimation methods, such as Monte Carlo expectation-maximization.

Author/Presenter

Geoffrey Converse

Mariana Curi

Suely Oliveira

Jonathan Templin 

Lead Organization(s)
Year
2021
Short Description

In this work, we extend variational auto encoders (VAE) to estimate item parameters and correlated latent abilities, and directly compare the ML2P-VAE method to more traditional parameter estimation methods, such as Monte Carlo expectation-maximization. The incorporation of a non-identity covariance matrix in a VAE requires a novel VAE architecture, which can be utilized in applications outside of education.

Modification Indices for Diagnostic Classification Models

Diagnostic classification models (DCMs) are psychometric models for evaluating a student’s mastery of the essential skills in a content domain based upon their responses to a set of test items. Currently, diagnostic model and/or Q-matrix misspecification is a known problem with limited avenues for remediation. To address this problem, this paper defines a one-sided score statistic that is a computationally efficient method for detecting under-specification at the item level of both the Q-matrix and the model parameters of the particular DCM chosen in an analysis.

Author/Presenter

Jonathan Templin

Year
2022
Short Description

Diagnostic classification models (DCMs) are psychometric models for evaluating a student’s mastery of the essential skills in a content domain based upon their responses to a set of test items. Currently, diagnostic model and/or Q-matrix misspecification is a known problem with limited avenues for remediation. To address this problem, this paper defines a one-sided score statistic that is a computationally efficient method for detecting under-specification at the item level of both the Q-matrix and the model parameters of the particular DCM chosen in an analysis.

Doing Research: A New Researcher’s Guide

This book is about scientific inquiry. Designed for early and mid-career researchers, it is a practical manual for conducting and communicating high-quality research in (mathematics) education. Based on the authors’ extensive experience as researchers, as mentors, and as members of the editorial team for the Journal for Research in Mathematics Education (JRME), this book directly speaks to researchers and their communities about each phase of the process for conceptualizing, conducting, and communicating high-quality research in (mathematics) education.

Author/Presenter

James Hiebert

 

Jinfa Cai

Stephen Hwang

Anne K Morris

Charles Hohensee

Lead Organization(s)
Year
2022
Short Description

This book is about scientific inquiry. Designed for early and mid-career researchers, it is a practical manual for conducting and communicating high-quality research in (mathematics) education. Based on the authors’ extensive experience as researchers, as mentors, and as members of the editorial team for the Journal for Research in Mathematics Education (JRME), this book directly speaks to researchers and their communities about each phase of the process for conceptualizing, conducting, and communicating high-quality research in (mathematics) education.

Theoretical Diversity and Inclusivity in Science and Environmental Education Research: A Way Forward

As distinct communities of practice (COP), science education research (SER) and environmental education research (EER) have both matured a great deal in recent decades, coming to include a greater diversity of theoretical perspectives, worldviews, and researcher and participant voices. In this paper, we present a view of theoretical inclusivity that promises a rich, robust research landscape for both EER and SER through the deliberate inclusion of non-Western theories.

Author/Presenter

Roberta Howard Hunter

Gail Richmond

Lead Organization(s)
Year
2022
Short Description

As distinct communities of practice (COP), science education research (SER) and environmental education research (EER) have both matured a great deal in recent decades, coming to include a greater diversity of theoretical perspectives, worldviews, and researcher and participant voices. In this paper, we present a view of theoretical inclusivity that promises a rich, robust research landscape for both EER and SER through the deliberate inclusion of non-Western theories.

Cultivating Epistemic Empathy in Preservice Teacher Education

This study investigates the emergence and cultivation of teachers' “epistemic empathy” in response to analyzing videos of student inquiry. We define epistemic empathy as the act of understanding and appreciating someone's cognitive and emotional experience within an epistemic activity—i.e., activity aimed at the construction, communication, and critique of knowledge.

Author/Presenter

Lama Jaber

Sherry Southerland

Felisha Drake

Lead Organization(s)
Year
2018
Short Description

This study investigates the emergence and cultivation of teachers' “epistemic empathy” in response to analyzing videos of student inquiry. We define epistemic empathy as the act of understanding and appreciating someone's cognitive and emotional experience within an epistemic activity—i.e., activity aimed at the construction, communication, and critique of knowledge. Our goals are (1) to conceptually develop the construct and contrast it to more general notions of caring and (2) to empirically examine epistemic empathy in the context of preservice teacher education. We discuss tensions in teachers' expressions of epistemic empathy, and we end with implications for research and practice.

“He Got a Glimpse of the Joys of Understanding” – The Role of Epistemic Empathy in Teacher Learning

Efforts to promote reform-based instruction have overlooked the import of affect in teacher learning. Drawing on prior work, I argue that teachers’ affective experiences in the discipline are integral to their learning how to teach the discipline. Moreover, I suggest that both affective and epistemological aspects of teachers’ experiences can serve to cultivate their epistemic empathy—the capacity for tuning into and valuing someone’s intellectual and emotional experience within an epistemic activity—in ways that support student-centered instruction.

Author/Presenter

Lama Jaber

Lead Organization(s)
Year
2021
Short Description

Efforts to promote reform-based instruction have overlooked the import of affect in teacher learning. Drawing on prior work, I argue that teachers’ affective experiences in the discipline are integral to their learning how to teach the discipline. Moreover, I suggest that both affective and epistemological aspects of teachers’ experiences can serve to cultivate their epistemic empathy—the capacity for tuning into and valuing someone’s intellectual and emotional experience within an epistemic activity—in ways that support student-centered instruction.

Research Toolkit

This toolkit offers education research tips, resources, and tools on research design, theory & frameworks, methodologies, instrumentation, human subjects, and data management.

Research Design 

Author/Presenter

CADRE

Year
2022
Short Description

Find education research tips, resources and tools.

Advancing Reasoning Covariationally (ARC) Curriculum

The Advancing Reasoning Covariationally (ARC) curriculum is a curriculum for working pre-service and in-service teachers. ARC targets and develops quantitative and covariational reasoning as connecting threads to major secondary mathematics ideas, particularly in the area of algebra, precalculus, and calculus.
Author/Presenter

The ARC Team

Lead Organization(s)
Year
2018
Short Description
The Advancing Reasoning Covariationally (ARC) curriculum is a curriculum for working pre-service and in-service teachers. ARC targets and develops quantitative and covariational reasoning as connecting threads to major secondary mathematics ideas, particularly in the area of algebra, precalculus, and calculus.

The Argumentation Toolkit

The Argumentation Toolkit is a collection of resources, including classroom videos, strategy guides and professional learning modules, designed to help teachers understand and teach scientific argumentation.

Author/Presenter

The Argument Toolkit Team

Year
2018
Short Description

The Argumentation Toolkit is a collection of resources, including classroom videos, strategy guides and professional learning modules, designed to help teachers understand and teach scientific argumentation.

The DiALoG Science Argumentation Tool

DiALoG stands for Diagnosing the Argumentation Levels of Groups. It is designed for teachers to formatively assess the quality of evidence-based arguments and to guide the selection of instructional responses designed to Improve the quality of students’ arguments. DiALoG assesses two important aspects of group argumentation – how well students construct their own evidence-based arguments (the INTRApersonal) and how well students are able to reconcile differences with others to co-construct meaning (the INTERpersonal).

Author/Presenter

The DiALoG Team

Year
2017
Short Description

DiALoG stands for Diagnosing the Argumentation Levels of Groups. It is designed for teachers to formatively assess the quality of evidence-based arguments and to guide the selection of instructional responses designed to Improve the quality of students’ arguments. DiALoG assesses two important aspects of group argumentation – how well students construct their own evidence-based arguments (the INTRApersonal) and how well students are able to reconcile differences with others to co-construct meaning (the INTERpersonal). The DiALoG system includes the DiALoG tool itself, along with the accompanying Responsive Mini Lessons (RMLs) and User Guides (UGs).