In this commentary, we respond to the recent article Applying machine learning to
automatically assess scientific models by Zhai et al.(2022). The authors present automated …

Model-based science instruction has been recognised internationally as a cornerstone on
which students can make sense of complex scientific phenomena, yet science educators …

Student science proficiency development demands sustainable and coherent learning
environment support. Scholars argue that project‐based learning (PBL) is an efficient …

A systematic literature review across multiple scientific disciplines was conducted to explore
students' understanding of atomic structure, focusing on students' ACs. A total of 112 …

The development of metaknowledge about models (MKM) and metaknowledge about the
modelling process (MKP) are important in pre-service science teachers (PSTs) education …

Organic chemistry students are routinely bombarded with an array of specialized
representations (eg, electron-pushing mechanisms, Newman projections, chair …

Both professional and classroom‐based scientific communities develop and test explanatory
models of the natural world. For students to take up models as tools for sensemaking …

While recent research has examined students' and teachers' understanding of models and
modeling, few studies have focused on how teacher educators can support preservice …

We have developed a curriculum for the organic chemistry laboratory in which students draw
on authentic usage of spectroscopy, spectrometry, and computational chemistry to explain …

Over the last two decades, there has been an increasing focus on spatial technologies in
teaching and learning, revealing the potential to support new forms of youth sensemaking …