Matthias von Davier

Matthias von Davier

Boston College

H-index: 51

North America-United States

About Matthias von Davier

Matthias von Davier, With an exceptional h-index of 51 and a recent h-index of 34 (since 2020), a distinguished researcher at Boston College, specializes in the field of Psychometrics, Educational Measurement, Latent Structure Models, Item Response Theory, Diagnostic Models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Combining machine translation and automated scoring in international large-scale assessments

Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI

Using response times for joint modeling of careless responding and attentive response styles

Educators’ motivations in massive open online courses for professional development

Aspects of Student Well-Being and Reading Achievement in PIRLS 2021

Variable selection in latent variable models via knockoffs: an application to international large-scale assessment in education

Omitted response treatment using a modified Laplace smoothing for approximate Bayesian inference in item response theory

Educational surveys: conceptual overview

Matthias von Davier Information

University

Position

Monan Professor in Education

Citations(all)

9944

Citations(since 2020)

4856

Cited By

6972

hIndex(all)

51

hIndex(since 2020)

34

i10Index(all)

158

i10Index(since 2020)

110

Email

University Profile Page

Boston College

Google Scholar

View Google Scholar Profile

Matthias von Davier Skills & Research Interests

Psychometrics

Educational Measurement

Latent Structure Models

Item Response Theory

Diagnostic Models

Top articles of Matthias von Davier

Title

Journal

Author(s)

Publication Date

Combining machine translation and automated scoring in international large-scale assessments

Large-scale Assessments in Education

Ji Yoon Jung

Lillian Tyack

Matthias von Davier

2024/4/8

Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI

Educational Measurement: Issues and Practice

Jiangang Hao

Alina A von Davier

Victoria Yaneva

Susan Lottridge

Matthias von Davier

...

2024/4/4

Using response times for joint modeling of careless responding and attentive response styles

Journal of Educational and Behavioral Statistics

Esther Ulitzsch

Steffi Pohl

Lale Khorramdel

Ulf Kroehne

Matthias von Davier

2024/4

Educators’ motivations in massive open online courses for professional development

Education and Information Technologies

Ella Anghel

Joshua Littenberg-Tobias

Matthias von Davier

2024/3/18

Aspects of Student Well-Being and Reading Achievement in PIRLS 2021

Katherine A Reynolds

Maya Komakhidze

Bethany Fishbein

Matthias von Davier

2024

Variable selection in latent variable models via knockoffs: an application to international large-scale assessment in education

Journal of the Royal Statistical Society Series A: Statistics in Society

Zilong Xie

Yunxiao Chen

Matthias von Davier

Haolei Weng

2023/12/12

Omitted response treatment using a modified Laplace smoothing for approximate Bayesian inference in item response theory

Matthias von Davier

2023/1/30

Educational surveys: conceptual overview

Lale Khorramdel

Matthias von Davier

Irwin Kirsch

Kentaro Yamamoto

2023/1/1

What I wanted and what I did: Motivation and engagement in a massive open online course

Computers & Education

Ella Anghel

Joshua Littenberg-Tobias

Matthias von Davier

2023/12/1

How can we make testing systems fair and just for all learners? A debate

Maria Elena Oliveri

Matthias Von Davier

John Sabatini

2023

A robust method for detecting item misfit in large-scale assessments

Educational and Psychological Measurement

Matthias von Davier

Ummugul Bezirhan

2023/8

Training Optimus Prime, MD: A Case Study of Automated Item Generation Using Artificial Intelligence–From Fine-Tuned GPT2 to GPT3 and Beyond

Matthias von Davier

2023

Advancing natural language processing in educational assessment

Victoria Yaneva

Matthias von Davier

2023

Scoring graphical responses in TIMSS 2019 using artificial neural networks

Educational and Psychological Measurement

Matthias von Davier

Lillian Tyack

Lale Khorramdel

2023/6

Quantifying the Bias of Non-linear Equating and Score Transformations

Matthias von Davier

Brian Clauser

2023/3/16

Automated reading passage generation with OpenAI's large language model

Computers and Education: Artificial Intelligence

Ummugul Bezirhan

Matthias von Davier

2023/1/1

Concordance for Large-Scale Assessments

Liqun Yin

Matthias Von Davier

Lale Khorramdel

Ji Yoon Jung

Pierre Foy

2022/7/11

A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data

Psychometrika

Esther Ulitzsch

Steffi Pohl

Lale Khorramdel

Ulf Kroehne

Matthias von Davier

2022/6

Belgium (Flemish)

Bea Merckx

Jerich Faddar

Peter Van Petegem

2020

Automated scoring of graphical open-ended responses using artificial neural networks

arXiv preprint arXiv:2201.01783

Matthias von Davier

Lillian Tyack

Lale Khorramdel

2022/1/5

See List of Professors in Matthias von Davier University(Boston College)