Abstract Machine learning (ML) techniques are commonly seen as an inductive learning
procedure, typically involving the identification of patterns in a specific training dataset to …

Resonance is a crucial concept in Organic Chemistry that enables both deriving chemical
properties from molecular structures and predicting reactions by considering electron …

Fine-grained constructivist frameworks such as the resources framework have been applied
as a theoretical lens broadly across education research disciplinary contexts, with a recent …

The ability to reason with representations is pivotal for successful learning in Organic
Chemistry and is closely linked to representational competence. Given the visual nature of …

Given current social and ecological challenges such as climate change, energy supply, and
e-mobility, the training of future generations of chemists will play a key role in preparing …

Mechanisms are part of the high school curriculum in many countries. Although research
shows that university students struggle with mechanistic reasoning, very little is known about …

A recent study in Chemistry Education Research and Practice highlights the common pattern
of student thinking known as 'the octet framework', and notes how it seems to relate to, but …

The current study aims to contribute to the literature on how organic chemistry students
weigh various factors when predicting products of substitution and elimination reactions …

Despite representations' central role in conveying chemical phenomena, mastering them is
not trivial, given the wide variety of different conventions to interpret and use them …

Calls for reform in science and chemistry education emphasize the importance of engaging
students in building causal-mechanistic explanations of relevant phenomena. However …