2024
Nehm, R.H. (2024). When less is more in living systems: subtractive cognitive biases and life science learning. Journal of Biological Education. DOI: 10.1080/00219266.2024.2320106
Sbeglia, G. Nehm, R.H. (2024). Building conceptual and methodological bridges between SSE’s Diversity, Equity, and Inclusion statement and educational actions in evolutionary biology. Evolution. DOI: https://doi.org/10.1093/evolut/qpae026
RG Duncan, R Krishnamoorthy, U Harms, M Haskel-Ittah, K Kampourakis, N Gericke, M Hammann, M Jimenez-Aleixandre, RH Nehm, MJ Reiss, A Yarden (2024). The sociopolitical in human genetics education. Science. Vol 383, Issue 6685 pp. 826-828
Nehm, R.H. (2024). Considering Explanatory Diversity and Holistic Understanding of Biological Phenomena. The American Biology Teacher. February. DOI: https://doi.org/10.1525/abt.2024.86.2.55
Nehm, R.H. (2024). AI in Biology Education Assessment: How Automation Can Drive Educational Transformation. In: Zhai, X. et al. (Eds.) Uses of Artificial Intelligence in STEM Education. Oxford University Press.
2023
Ha, M. Nehm, R.H. (2023). Measuring Scientific Understanding Across International Samples: The Promise of Machine Translation and NLP-based Machine Learning Technologies. In: Yaneva & VonDavier (Eds.). Advancing National Language Processing in Educational Assessment. NCME (National Council on Measurement in Education). Routledge.
Bertolini R, Finch SJ and Nehm RH (2023) An application of Bayesian inference to examine
student retention and attrition in the STEM classroom. Front. Educ. 8:1073829. doi: 10.3389/feduc.2023.1073829
2022
Nehm Kampourakis (2022): Important Things to Know about How to Teach About Evolution. Pp. 87-105 In: Learning Evolution Through Socioscientific Issues. Sá-Pinto, X., Beniermann, A., Børsen, T., Georgiou, M., Jeffries, A., Pessoa, P., Sousa, B., & Zeidler, D.L. (Eds.). Aveiro: UA Editora
Nehm, R.H., Sbeglia, G.C., Finch, S. (2022). Is active learning enough? The contributions of misconception-focused instruction and active learning dosage on student learning of evolution. BioScience.Nehm Finch Sbeglia 2022
Sbeglia, G.C., Nehm, R.H. (2022). Measuring Evolution Learning: Impacts of student participation incentives and test timing Evolution: Education and Outreach (15:9).
Bertolini, R., Finch, S.J., & Nehm, R.H. (2022). Quantifying Variability in Predictions of Student Performance: Examining the Impact of Bootstrap Resampling in Data Pipelines. Computers & Education: Artificial Intelligence (in press)
2021
Sbeglia, J., Goodridge, J., Gordon, L., Nehm, R.H. (2021) Are Faculty Changing? How Reform Frameworks, Sampling Intensities, and Instrument Measures Impact Inferences about Student-Centered Teaching Practices. CBE—Life Sciences Education, Vol. 20, No. 3 (Feature Article)
Gericke, N. El-Hani, C. Sbeglia, G.C., Nehm, R.H., Menezes Evangelista, N. (2021). Is Belief in Genetic Determinism Similar Across Countries and Traits? Chapter 7 In: M. Haskel-Ittah, A. Yarden (Eds.), Genetics Education: Current Challenges and Possible Solutions Contributions. Springer Nature (Switzerland). DOI: 10.1007/978-3-030-86051-6;
Bertolini, R., Finch, S.J., & Nehm, R.H. (2021). Enhancing Data Pipelines for Forecasting Student Performance: Integrating Feature Selection with Cross-Validation.
Bertolini, R., Finch, S.J. & Nehm, R.H. (2021) Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology. J Sci Educ Technol https://doi.org/10.1007/s10956-020-09888-8
2020
Sbeglia, G.C., Nehm, R.H. (2020). Illuminating The Complexities of Conflict with Evolution: Validation of the Scales of Evolutionary Conflict Measure (SECM). Evolution: Education and Outreach (in press).
Donovan, B., Nehm, R.H. (2020) Genetics and Identity. Science & Education. https://doi.org/10.1007/s11191-020-00180-0
Zhai, X., Shi, L. & Nehm, R. (2020) A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements. J Sci Educ Technol (2020). https://doi.org/10.1007/s10956-020-09875-z
Kinlock, N., Foley, C. Sbeglia, G. and Nehm, R.H. (2020) A lesson on matter and energy at the organismal scale: Linking patterns and processes across diverse taxa” CourseSource https://doi.org/10.24918/cs.2020.42
Tornabene, R.E. Sbeglia, G. S. Nehm, R.H. (2020). Measuring Belief in Genetic Determinism: A psychometric evaluation of the PUGGS instrument. Science & Education. DOI: 10.1007/s11191-020-00146-2
Hammann, M., Nehm, R.H. (2020). Teleology and Evolution Education: Introduction to the Special Issue. Evolution Education & Outreach Evo Edu Outreach 13, 16
Zhai, X., Haudek, K., Nehm, R.H., Urban-Lurain, M. (2020). From Substitution to Redefinition: A Framework of Machine Learning-based Science Assessment. Journal of Research in Science Teaching. doi:10.1002/tea.21658
2019
Zagallo, P., McCourt, J., Idsardi, R., Haudek, K., Knight, J., Merrill, J., Nehm, R., Prevost, L., Smith, M., Urban-Lurain, M. and Lemons, P.P. (2019). Through the eyes of faculty: using personas as a tool for learner-centered professional development. CBE-Life Sciences Education.
Nehm, R.H. (2019). Biology Education Research: Building Integrative Frameworks for Teaching and Learning About Living Systems. Disciplinary and Interdisciplinary Science Education Research.
Nehm, R.H., Mead, L. (2019). Evolution Assessment. Introduction to the Special Issue. Evolution Education & Outreach. DOI: 10.1186/s12052-019-0098-x
Fiedler, D., Sbeglia, G., Nehm, R.H., Harms, U. (2019). How strongly does statistical reasoning influence knowledge and acceptance of evolution? Journal of Research in Science Teaching. Volume 56(9): 1183-1206. DOI: 10.1002/tea.21547
Ha, M. Nehm, R.H. et al. (2019). Chinese pre-service biology teachers’ evolutionary knowledge, reasoning patterns, and acceptance levels. International Journal of Science Education. 41(5): 628-651. DOI: 10.1080/09500693.2019.1572936
Sbeglia, G., Nehm, R.H. (2019). Do you see what I-SEA? A Rasch analysis of the psychometric properties of the Inventory of Student Evolution Acceptance. Science Education. DOI: 10.1002/sce.21494
2018
Sbeglia, G., Nehm, R.H. (2018). Measuring evolution acceptance using the GAENE: influences of gender, race, degree‑plan, and instruction. Evolution Education & Outreach. DOI: 10.1186/s12052-018-0091-9
Tornabene, R.E. Lavington, E., Nehm, R.H. (2018). Testing Validity Inferences for Genetic Drift Inventory Scores Using Rasch Modeling and Item Order Analyses. Evolution Education & Outreach. 11(6) DOI: 10.1186/s12052-018-0082-x
Pelletreau, K. Knight, J.K. Lemons, P. McCourt, J. Merrill, J. Nehm, R.H., Prevost, L., Urban-Lurain, M., and Smith, M. K. (2018). A Faculty Professional Development Model That Improves Student Learning, Encourages Active-Learning Instructional Practices, and Works for Faculty at Multiple Institutions. CBE – Life Sciences Education. 17:es5, 1–11, Summer.
Nehm, R.H. (2018). Chapter 14: Evolution. Teaching Biology in Schools. (Eds.) Reiss, M., Kampourakis, K. Routledge.
Rachmatullah, A., Nehm, R.H., Ha, M. Roshayanti, F. (2018). Evolution Education in Indonesia: Pre-service Biology Teachers’ Evolutionary Knowledge Levels, Reasoning Models, and Acceptance Patterns. Evolution Education around the Globe. (Eds.). Deniz, H. Borgerding, L. Springer.