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14 papers · ranked by Valyu relevance
J. Scott Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks + 1 more
'René F. Kizilcec'] Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, and Rene F. Kizilcec. 2023. Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. In 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23), June 12–15…
Katherine Blades, Michael Biddle, Robert Froud, Eva M. Krockow + 1 more
The experimental use of antibodies that have not been validated for context-specific use frequently misdirects biomedical research. Experimental results that derive from the use of inadequately validated antibodies are estimated to waste over $1 billion annually in the United States alone and to consume millions of…
Atesh Koul, Cristina Becchio, Andrea Cavallo
The ability to replicate a scientific discovery or finding is one of the features that distinguishes science from non-science and pseudo-science (Dunlap, ; Popper, ; Collins, ). In the words of Popper (): “only by [such] repetitions can we convince ourselves that we are not dealing with a mere isolated ‘coincidence,'…
Gulistan Bahat, Tugba Erdogan, Busra Can, Serdar Ozkok + 20 more
Background Various explicit screening tools, developed mostly in central Europe and the USA, assist clinicians in optimizing medication use for older adults. The Turkish Inappropriate Medication use in oldEr adults (TIME) criteria set, primarily based on the STOPP/START criteria set, is a current explicit tool…
Laurence Clement, Jennie B. Dorman, Richard McGee
We describe here the development and validation of the Academic Career Readiness Assessment (ACRA) rubric, an instrument that was designed to provide more equity in mentoring, transparency in hiring, and accountability in training of aspiring faculty in the life sciences. We report here the results of interviews with…
Meagan Sundstrom, David Esparza, Justin Gambrell, Adrienne Traxler + 1 more
Multi-institutional studies are critical for advancing discipline-based education research (DBER) because they allow us to determine where and for whom research findings are applicable. Despite this benefit, such studies remain relatively rare due to the complexities of coordinating data collection across different…
Angélica Garzón-Umerenkova, Marisleidy Alba, Boris Cendales, Juan Carlos Espinosa + 1 more
Title: Highlights 1. • Confirmatory Factor Analysis supported the theoretical five-factor structure of the ECQ with acceptable fit indices. 2. • Rasch analysis evaluated item functioning and confirmed the suitability of a 5-point Likert scale. 3. • Exploratory Graph Analysis identified four emergent dimensions…
Charles Baily, Qing X. Ryan, Cecilia Astolfi, Steven J. Pollock
As part of ongoing investigations into student learning in advanced undergraduate courses, we have developed a conceptual assessment tool for upper-division electrodynamics (E&M II): the Colorado UppeR-division ElectrodyNamics Test (CURrENT). This is a free response, post-instruction diagnostic with 6 multi-part…
David A. Cook, Rose Hatala
Background Simulation plays a vital role in health professions assessment. This review provides a primer on assessment validation for educators and education researchers. We focus on simulation-based assessment of health professionals, but the principles apply broadly to other assessment approaches and topics. Key…
Carl Wieman, Wendy K. Adams
The paper "Evaluation of Colorado Learning Attitudes about Science Survey" [1] proposes a new, much shorter, version of the CLASS based on standard factor analysis. In this comment we explain why we believe the analysis that is used is inappropriate, and the proposed modified CLASS will be measuring something quite…
Giuseppe Gallitto, Robert Englert, Balint Kincses, Raviteja Kotikalapudi + 4 more
Multivariate predictive models play a crucial role in enhancing our understanding of complex biological systems and in developing innovative, replicable tools for translational medical research. However, the complexity of machine learning methods and extensive data pre-processing and feature engineering pipelines can…
Angela Lopez-del Rio, Alfons Nonell-Canals, David Vidal, Alexandre Perera-Lluna
Binding prediction between targets and drug-like compounds through Deep Neural Networks have generated promising results in recent years, outperforming traditional machine learning-based methods. However, the generalization capability of these classification models is still an issue to be addressed. In this work, we…
Authors not listed
Accurate solubility prediction in supercritical carbon dioxide (scCO2) is crucial for optimizing experimental design by eliminating unnecessary and costly trials at an early stage, thereby streamlining the workflow. A comprehensive solubility database containing 31975 records has been compiled, providing a foundation…
Orsolya Székely, Nicholas P. Holmes, Jennifer Ashton, Friederike Breuer + 13 more
We introduce the TMS-RAT, a reporting (assessment) tool for TMS studies Developed within a community-informed, iterative process rating 333 TMS studies Empirically evaluated for usability, inter-rater, and test-retest reliability A validated subset enables reliable retrospective assessment of reporting The modular…