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Biology Majors' Knowledge and Misconceptions of Natural Selection

Bioscience, 2007-03, Vol.57 (3), p.263-272

2007

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Measuring knowledge of natural selection: A comparison of the CINS, an open-response instrument, and an oral interview

Journal of research in science teaching, 2008-12, Vol.45 (10), p.1131-1160

2008

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

Evolution education & outreach, 2022-12, Vol.15 (1), p.1-15, Article 9

2022

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AI and formative assessment: The train has left the station

Journal of research in science teaching, 2023-08, Vol.60 (6), p.1390-1398

2023

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Biology education research: building integrative frameworks for teaching and learning about living systems

Disciplinary and Interdisciplinary Science Education Research, 2019-12, Vol.1 (1), p.1-18, Article 15

Nehm, Ross H.

2019

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Measuring evolution acceptance using the GAENE: influences of gender, race, degree-plan, and instruction

Evolution education & outreach, 2018-12, Vol.11 (1), p.1-19, Article 18

2018

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

International Journal of Educational Technology in Higher Education, 2021-01, Vol.18 (1), p.44-44, Article 44

2021

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A Critical Analysis of Assessment Quality in Genomics and Bioinformatics Education Research

CBE life sciences education, 2013-09, Vol.12 (3), p.530-541

2013

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Teleology and evolution education: introduction to the special issue

Evolution education & outreach, 2020-07, Vol.13 (1), p.1-5, Article 16

2020

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Considering Explanatory Diversity and Holistic Understanding of Biological Phenomena

The American biology teacher, 2024-02, Vol.86 (2), p.55-55

Nehm, Ross H.

2024

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Item feature effects in evolution assessment

Journal of research in science teaching, 2011-03, Vol.48 (3), p.237-256

2011

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Applying Computerized-Scoring Models of Written Biological Explanations across Courses and Colleges: Prospects and Limitations

CBE life sciences education, 2011-12, Vol.10 (4), p.379-393

2011

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Building conceptual and methodological bridges between SSE's diversity, equity, and inclusion statement and educational actions in evolutionary biology

Evolution, 2024-05, Vol.78 (5), p.809-820

2024

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How strongly does statistical reasoning influence knowledge and acceptance of evolution?

Journal of research in science teaching, 2019-11, Vol.56 (9), p.1183-1206

2019

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A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements

Journal of science education and technology, 2021-06, Vol.30 (3), p.361-379

2021

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Is Active Learning Enough? The Contributions of Misconception-Focused Instruction and Active-Learning Dosage on Student Learning of Evolution

Bioscience, 2022-10, Vol.72 (11), p.1105-1117

2022

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Using a Constructed-Response Instrument to Explore the Effects of Item Position and Item Features on the Assessment of Students' Written Scientific Explanations

Research in science education (Australasian Science Education Research Association), 2015-08, Vol.45 (4), p.527-553

2015

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Cognitive foundations for science assessment design: Knowing what students know about evolution

Journal of research in science teaching, 2012-08, Vol.49 (6), p.744-777

2012

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Learning the language of evolution : lexical ambiguity and word meaning in student explanations

Research in science education (Australasian Science Education Research Association), 2013-06, Vol.43 (3), p.1107-1133

2013

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Evolution assessment: introduction to the special issue

Evolution education & outreach, 2019-02, Vol.12 (1), p.1-5, Article 7

2019

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From substitution to redefinition: A framework of machine learning‐based science assessment

Journal of research in science teaching, 2020-11, Vol.57 (9), p.1430-1459

2020

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Do you see what I‐SEA? A Rasch analysis of the psychometric properties of the Inventory of Student Evolution Acceptance

Science education (Salem, Mass.), 2019-03, Vol.103 (2), p.287-316

2019

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Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology

Journal of science education and technology, 2021-04, Vol.30 (2), p.193-209

2021

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Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations

Journal of science education and technology, 2012-02, Vol.21 (1), p.183-196

2012

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Testing validity inferences for Genetic Drift Inventory scores using Rasch modeling and item order analyses

Evolution education & outreach, 2018-07, Vol.11 (1), p.1-16, Article 6

2018

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Biology Majors' Knowledge and Misconceptions of Natural Selection

Measuring knowledge of natural selection: A comparison of the CINS, an open-response instrument, and an oral interview

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

AI and formative assessment: The train has left the station

Biology education research: building integrative frameworks for teaching and learning about living systems

Measuring evolution acceptance using the GAENE: influences of gender, race, degree-plan, and instruction

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

A Critical Analysis of Assessment Quality in Genomics and Bioinformatics Education Research

Teleology and evolution education: introduction to the special issue

Considering Explanatory Diversity and Holistic Understanding of Biological Phenomena

Item feature effects in evolution assessment

Applying Computerized-Scoring Models of Written Biological Explanations across Courses and Colleges: Prospects and Limitations

Building conceptual and methodological bridges between SSE's diversity, equity, and inclusion statement and educational actions in evolutionary biology

How strongly does statistical reasoning influence knowledge and acceptance of evolution?

A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements

Is Active Learning Enough? The Contributions of Misconception-Focused Instruction and Active-Learning Dosage on Student Learning of Evolution

Using a Constructed-Response Instrument to Explore the Effects of Item Position and Item Features on the Assessment of Students' Written Scientific Explanations

Cognitive foundations for science assessment design: Knowing what students know about evolution

Learning the language of evolution : lexical ambiguity and word meaning in student explanations

Evolution assessment: introduction to the special issue

From substitution to redefinition: A framework of machine learning‐based science assessment

Do you see what I‐SEA? A Rasch analysis of the psychometric properties of the Inventory of Student Evolution Acceptance

Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology

Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations

Testing validity inferences for Genetic Drift Inventory scores using Rasch modeling and item order analyses

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