Ross H. Nehm

Ross H. Nehm

Stony Brook University

H-index: 35

North America-United States

About Ross H. Nehm

Ross H. Nehm, With an exceptional h-index of 35 and a recent h-index of 29 (since 2020), a distinguished researcher at Stony Brook University, specializes in the field of evolution education, biology education, assessment, biology education research.

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

Building conceptual and methodological bridges between SSE’s Diversity, Equity, and Inclusion statement and educational actions in evolutionary biology

The sociopolitical in human genetics education

Considering Explanatory Diversity and Holistic Understanding of Biological Phenomena

When less is more in living systems: subtractive cognitive biases and life science learning

AI and formative assessment: The train has left the station

An application of Bayesian inference to examine student retention and attrition in the STEM classroom

200 Measuring Scientific Understanding Across International Samples: The Promise of Machine Translation and NLP-Based Machine Learning Technologies

Measuring evolution learning: Impacts of student participation incentives and test timing

Ross H. Nehm Information

University

Position

Professor Ecology & Evolution Program in Science Education

Citations(all)

5174

Citations(since 2020)

2449

Cited By

3705

hIndex(all)

35

hIndex(since 2020)

29

i10Index(all)

67

i10Index(since 2020)

59

Email

University Profile Page

Stony Brook University

Google Scholar

View Google Scholar Profile

Ross H. Nehm Skills & Research Interests

evolution education

biology education

assessment

biology education research

Top articles of Ross H. Nehm

Title

Journal

Author(s)

Publication Date

Building conceptual and methodological bridges between SSE’s Diversity, Equity, and Inclusion statement and educational actions in evolutionary biology

Gena C Sbeglia

Ross H Nehm

2024/3/1

The sociopolitical in human genetics education

Science

RG Duncan

R Krishnamoorthy

U Harms

M Haskel-Ittah

K Kampourakis

...

2024/2/23

Considering Explanatory Diversity and Holistic Understanding of Biological Phenomena

Ross H Nehm

2024/2/1

When less is more in living systems: subtractive cognitive biases and life science learning

Journal of Biological Education

Ross H Nehm

2024/3/4

AI and formative assessment: The train has left the station

Journal of Research in Science Teaching

Xiaoming Zhai

Ross H. Nehm

2023/6/23

An application of Bayesian inference to examine student retention and attrition in the STEM classroom

Frontiers in Education

Roberto Bertolini

Stephen J Finch

Ross H Nehm

2023/2/14

200 Measuring Scientific Understanding Across International Samples: The Promise of Machine Translation and NLP-Based Machine Learning Technologies

Minsu Ha

Ross H Nehm

2023

Measuring evolution learning: Impacts of student participation incentives and test timing

Evolution: Education and Outreach

Gena C Sbeglia

Ross H Nehm

2022/12

Is active learning enough? The contributions of misconception-focused instruction and active-learning dosage on student learning of evolution

BioScience

Ross H Nehm

Stephen J Finch

Gena C Sbeglia

2022/11

Is belief in genetic determinism similar across countries and traits?

Niklas Gericke

Charbel N El-Hani

Gena C Sbeglia

Ross H Nehm

Neima Alice Menezes Evangelista

2022/1/17

Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines

Computers and Education: Artificial Intelligence

Roberto Bertolini

Stephen J Finch

Ross H Nehm

2022/1/1

A lesson on matter and energy at the organismal scale: Linking patterns and processes across diverse taxa

Nicole L Kinlock

Catherine M Foley

Gena C Sbeglia

Ross H Nehm

2021/8/29

A clicker-based case study that untangles student thinking about the processes in the central dogma

Karen Nicole Pelletreau

Tessa Andrews

Norris Armstrong

Mary A Bedell

Farahad Dastoor

...

2021/8/27

A meta-analysis of machine learning-based science assessments: Factors impacting machine-human score agreements

Xiaoming Zhai

Lehong Shi

Ross H Nehm

2021/6

Testing the impact of novel assessment sources and machine learning methods on predictive outcome modeling in undergraduate biology

Journal of Science Education and Technology

Roberto Bertolini

Stephen J Finch

Ross H Nehm

2021/4

Are faculty changing? How reform frameworks, sampling intensities, and instrument measures impact inferences about student-centered teaching practices

CBE—Life Sciences Education

Gena C Sbeglia

Justin A Goodridge

Lucy H Gordon

Ross H Nehm

2021

Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation

International Journal of Educational Technology in Higher Education

Roberto Bertolini

Stephen J Finch

Ross H Nehm

2021/12

Illuminating the complexities of conflict with evolution: validation of the scales of evolutionary conflict measure (SECM)

Evolution: Education and Outreach

Gena C Sbeglia

Ross H Nehm

2020/12

Genetics and Identity: Introduction to the Special Issue

Science & Education

Brian Donovan

Ross H Nehm

2020/12

Measuring belief in genetic determinism: A psychometric evaluation of the PUGGS instrument

Science & Education

Robyn E Tornabene

Gena C Sbeglia

Ross H Nehm

2020/12

See List of Professors in Ross H. Nehm University(Stony Brook University)

Co-Authors

H-index: 24
Kostas Kampourakis

Kostas Kampourakis

Université de Genève

H-index: 17
Hendrik Härtig

Hendrik Härtig

Universität Duisburg-Essen

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