Investigating the Nature of Students' Reasoning in Connecting Molecular Structures of Stereoisomers with their Physical Properties Using an AR App

Stereoisomers are chemicals with identical molecular composition differing only in the spatial arrangement of their atoms. This difference causes differences in their physical, chemical or biological properties. Fundamental to the learning of stereochemistry is to understand how this spatial differences in stereoisomers causes differences in their properties. It is a complex learning problem requiring learners to imagine dynamic processes occurring at the molecular level. It is also a learning problem that has not been adequately addressed in the context of stereochemistry. We conducted an exploratory study to investigate how chemistry students of different grade levels reason to connect structure and properties of stereoisomers. In parallel, we were also working on the development of an augmented reality based molecular visualization app called 'StereoChem'; to aid the specific difficulties observed in the students while they were performing stereochemical tasks. From our observation and analysis we report the critical bottlenecks identified in students' reasoning, probable sources of those bottlenecks and the refinement of our 'StereoChem' app. In conclusion, we suggest key design guidelines drawn from our study for curriculum design, pedagogical practices and technological support to help students overcome those bottlenecks.

[1]  Patricia Salinas,et al.  Understanding the Conics through Augmented Reality , 2017 .

[2]  A. Dumon,et al.  The acquisition of stereochemical knowledge by Algerian students intending to teach physical sciences , 2011 .

[3]  Sahana Murthy,et al.  StereoChem: Augmented Reality 3D Molecular Model Visualization App for Teaching and Learning Stereochemistry , 2018, 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT).

[4]  Erick Martins Ratamero,et al.  Touching proteins with virtual bare hands , 2017, Journal of Computer-Aided Molecular Design.

[5]  K. Squire,et al.  Design-Based Research: Putting a Stake in the Ground , 2004 .

[6]  C. Carbonell Carrera,et al.  Landscape interpretation with augmented reality and maps to improve spatial orientation skill , 2017 .

[7]  Ludovico Cademartiri,et al.  Using shape for self-assembly , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[8]  Mike Stieff,et al.  Spatial Cognition & Computation: An Interdisciplinary Journal , 2022 .

[9]  E. Zurek,et al.  Computational Modeling of the Optical Rotation of Amino Acids: An ‘in Silico’ Experiment for Physical Chemistry , 2013 .

[10]  Laurence D. Barron,et al.  Molecular Light Scattering and Optical Activity: Second Edition, revised and enlarged , 1983 .

[11]  M. Hegarty,et al.  Models as Feedback: Developing Representational Competence in Chemistry. , 2015 .

[12]  Roy Tasker,et al.  Research into practice: visualisation of the molecular world using animations , 2006 .

[13]  M. Hegarty,et al.  Representational Translation With Concrete Models in Organic Chemistry , 2012 .

[14]  Jon R. Star,et al.  Model Breaking Points Conceptualized , 2014 .

[15]  Chin-Chung Tsai,et al.  Affordances of Augmented Reality in Science Learning: Suggestions for Future Research , 2012, Journal of Science Education and Technology.

[16]  Vicente A Talanquer,et al.  Macro, Submicro, and Symbolic: The many faces of the chemistry “triplet” , 2011 .