| Using Lexical Analysis To Predict Lewis Acid–Base Model Use in Responses to an Acid–Base Proton-Transfer Reaction AJ Dood, KB Fields, JR Raker Journal of Chemical Education 95 (8), 1267-1275, 2018 | 40 | 2018 |
| Analyzing explanations of substitution reactions using lexical analysis and logistic regression techniques AJ Dood, JC Dood, DCR de Arellano, KB Fields, JR Raker Chemistry Education Research and Practice 21 (1), 267-286, 2020 | 38 | 2020 |
| Mechanistic Reasoning in Organic Chemistry: A Scoping Review of How Students Describe and Explain Mechanisms in the Chemistry Education Research Literature AJ Dood, FM Watts Journal of Chemical Education 99 (8), 2864-2876, 2022 | 36 | 2022 |
| Development of a machine learning-based tool to evaluate correct Lewis acid–base model use in written responses to open-ended formative assessment items BJ Yik, AJ Dood, DCR de Arellano, KB Fields, JR Raker Chemistry Education Research and Practice 22 (4), 866-885, 2021 | 30 | 2021 |
| Using the Research Literature to Develop an Adaptive Intervention to Improve Student Explanations of an SN1 Reaction Mechanism AJ Dood, JC Dood, D Cruz-Ramírez de Arellano, KB Fields, JR Raker Journal of Chemical Education 97 (10), 3551-3562, 2020 | 27 | 2020 |
| Students’ strategies, struggles, and successes with mechanism problem solving in organic chemistry: a scoping review of the research literature AJ Dood, FM Watts Journal of Chemical Education 100 (1), 53-68, 2022 | 26 | 2022 |
| Pedagogies of engagement use in postsecondary chemistry education in the United States: results from a national survey JR Raker, AJ Dood, S Srinivasan, KL Murphy Chemistry Education Research and Practice 22 (1), 30-42, 2021 | 23 | 2021 |
| Development and evaluation of a Lewis acid–base tutorial for use in postsecondary organic chemistry courses AJ Dood, KB Fields, D Cruz-Ramírez de Arellano, JR Raker Canadian Journal of Chemistry 97 (10), 711-721, 2019 | 23 | 2019 |
| Electronic Laboratory Notebooks Allow for Modifications in a General, Organic, and Biochemistry Chemistry Laboratory To Increase Authenticity of the Student Experience AJ Dood, LM Johnson, JM Shorb Journal of Chemical Education 95 (11), 1922-1928, 2018 | 21 | 2018 |
| Generalized rubric for level of explanation sophistication for nucleophiles in organic chemistry reaction mechanisms BJ Yik, AJ Dood, SJH Frost, DCR de Arellano, KB Fields, JR Raker Chemistry Education Research and Practice 24 (1), 263-282, 2023 | 11 | 2023 |
| Evaluating electrophile and nucleophile understanding: a large-scale study of learners’ explanations of reaction mechanisms SJH Frost, BJ Yik, AJ Dood, DCR de Arellano, KB Fields, JR Raker Chemistry Education Research and Practice 24 (2), 706-722, 2023 | 8 | 2023 |
| Development of a Generalizable Framework for Machine Learning-based Evaluation of Written Explanations of Reaction Mechanisms from the Post-secondary Organic Chemistry Curriculum JR Raker, BJ Yik, AJ Dood | 8 | 2022 |
| Developing machine learning models for automated analysis of organic chemistry students’ written descriptions of organic reaction mechanisms FM Watts, AJ Dood, GV Shultz | 8 | 2022 |
| Automated, content-focused feedback for a writing-to-learn assignment in an undergraduate organic chemistry course FM Watts, AJ Dood, GV Shultz LAK23: 13th International Learning Analytics and Knowledge Conference, 531-537, 2023 | 7 | 2023 |
| PeerBERT: Automated Characterization of Peer Review Comments across Courses A Dood, B Winograd, S Finkenstaedt-Quinn, A Gere, G Shultz LAK22: 12th International Learning Analytics and Knowledge Conference, 492-499, 2022 | 7 | 2022 |
| Detecting High Orders of Cognitive Complexity in Students’ Reasoning in Argumentative Writing About Ocean Acidification BA Winograd, AJ Dood, R Moeller, A Moon, A Gere, G Shultz LAK21: 11th International Learning Analytics and Knowledge Conference, 586-591, 2021 | 7 | 2021 |
| Comparing Student and Generative Artificial Intelligence Chatbot Responses to Organic Chemistry Writing-to-Learn Assignments FM Watts, AJ Dood, GV Shultz, JMG Rodriguez Journal of Chemical Education 100 (10), 3806-3817, 2023 | 6 | 2023 |
| Automating Characterization of Peer Review Comments in Chemistry Courses BA Winograd, AJ Dood, SA Finkenstaedt-Quinn, AR Gere, GV Shultz Proceedings of the 14th International Conference on Computer-Supported …, 2021 | 5 | 2021 |
| High Potential Organic Materials for Battery Applications AJ Prins, A Dumitrascu, NJ Mortimer, DR Henton, TF Guarr ECS Transactions 80 (10), 97, 2017 | 5 | 2017 |
| A Dashboard to Provide Instructors with Automated Feedback on Students’ Peer Review Comments A Dood, K Das, Z Qian, S Finkenstaedt-Quinn, A Gere, G Shultz LAK23: 13th International Learning Analytics and Knowledge Conference, 619-625, 2023 | 3 | 2023 |
Jeffrey R. RakerAssociate Professor of Chemistry, University of South FloridaVerified email at usf.edu
