ReviewACS omega2026
Bridging Organic Chemistry Teaching Laboratories and Real-World Research with Modern Computing and Spectroscopic Techniques.
Review in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Computational thinking as a mediator between modeling self-efficacy and flexible thinking in pre-service science teachers.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Reimagining Organic Chemistry Laboratories in Education Systems (ROLES) initiative at Spelman College was established to provide undergraduate students with synthetic, analytical, computing, and critical-thinking skills necessary for training innovators and problem solvers for future STEM careers. Embedded in the second-semester organic chemistry laboratory, the initiative revamps the course to take on a research-based structure that incorporates purposeful laboratory activities that illustrate the alignment of chemical concepts introduced in teaching laboratories with techniques utilized in the chemical workforce. The ROLES research-based instruction features student-relatable modules of drug discovery, polymer-cosmetic chemistry, and polymer-material science all with real-world applications. Each module is accompanied by computational approaches including machine learning in Artificial Intelligence (AI), electronic Density Functional Theory (DFT) calculations, and docking molecular-modeling studies. The laboratories also utilize instrumentation including NMR, FTIR, GC, and MS spectroscopies. In all, the ROLES initiative provides a transformative blueprint through the chemistry curriculum to actively engage students and deliver connections between chemical theory and everyday life. The intent of this perspective is to describe how real-life applications and the use of modern technology, and instrumentation can be folded into an introductory chemistry lab. This perspective will focus on the logistics of the new curriculum, computational methodologies used, and how spectral analysis is applied throughout the program.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.