Lowering Barriers to Augmented Reality in Chemistry─Easy Creation of Virtual 3D Molecular Models

The integration of Augmented Reality (AR) into chemistry education holds significant promise but is often hindered by the effort associated with creating accurate digital molecular models. We propose two open-source tools that automate the creation of digital molecular models from SMILES strings: an online 3D molecular model generator and a Blender plugin. Two evaluations based on the Technology Acceptance Model (TAM) were carried out. The first qualitative study (<i>n</i> = 11) identified the online generator as intuitive and efficient, while the Blender plugin provided greater flexibility at the cost of higher complexity. The second study (<i>n</i> = 67) reports a quantitative questionnaire based on the TAM and showed high ratings for the online generator. Future developments should particularly address supporting users in working with SMILES notatione.g., by integrating access to chemical databases, offering graphical molecule builders, or providing explanatory tutorialswhile expanding export options toward cross-platform formats (e.g., OBJ, STL), alongside optimizing the Blender plugin's usability to foster broader classroom adoption.

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Publication Details

Journal
Journal of Chemical Education
Published
2025-12-30
DOI
https://doi.org/10.1021/acs.jchemed.5c00278
Citations
1
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
1.28
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article

Lowering Barriers to Augmented Reality in Chemistry─Easy Creation of Virtual 3D Molecular Models

Johannes Huwer, Frieder Loch, Lars‐Jochen Thoms
1 citations
Journal of Chemical Education
Augmented Reality Applications
1.28
article

Lowering Barriers to Augmented Reality in Chemistry─Easy Creation of Virtual 3D Molecular Models

Johannes Huwer, Frieder Loch, Lars‐Jochen Thoms
article en
1 citations

Abstract

The integration of Augmented Reality (AR) into chemistry education holds significant promise but is often hindered by the effort associated with creating accurate digital molecular models. We propose two open-source tools that automate the creation of digital molecular models from SMILES strings: an online 3D molecular model generator and a Blender plugin. Two evaluations based on the Technology Acceptance Model (TAM) were carried out. The first qualitative study (<i>n</i> = 11) identified the online generator as intuitive and efficient, while the Blender plugin provided greater flexibility at the cost of higher complexity. The second study (<i>n</i> = 67) reports a quantitative questionnaire based on the TAM and showed high ratings for the online generator. Future developments should particularly address supporting users in working with SMILES notatione.g., by integrating access to chemical databases, offering graphical molecule builders, or providing explanatory tutorialswhile expanding export options toward cross-platform formats (e.g., OBJ, STL), alongside optimizing the Blender plugin's usability to foster broader classroom adoption.

Journal of Chemical EducationVol. 103(1)
University of Konstanz (DE), OST - Ostschweizer Fachhochschule (CH), Thurgau University of Teacher Education (CH)
Quality Education
Openalex Percentile: Top 13%
Augmented Reality Applications
1.28
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