Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…

Synthesis of (Z)-alkenes is challenging because the (E) stereoisomers are usually more stable. Energy transfer photocatalysis has emerged as an efficient strategy for (E) [right arrow] (Z) alkene isomerization. We report the development of an advanced undergraduate laboratory experiment that introduces students to contemporary organic…

This paper describes how students conceptualize real-life phenomena in which two or more quantities are covarying in an augmented reality environment. With this technology, real-world phenomena and virtual representations may be connected simultaneously. We aim to investigate how students connect elements of the two worlds when conceptualizing…

Traditionally, civil engineering infrastructures have been represented through two-dimensional (2D) drawings, which can lead to interpretation errors and jeopardize engineers' understanding of complex projects. However, with the development of building information modeling (BIM) methodology, civil engineering projects can now be virtually modeled…

The literature on scientific modelling practices in science education has provided a fruitful discussion on how learners tend to view models vs. how and what they should think about them. One approach is to teach students that models are abstractions so that they do not view them as a copy of phenomena they represent. Although teaching students…