Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning

Sandra Câmara Olim; Valentina Nisi; Teresa Romão

doi:10.1007/978-3-030-85607-6_69

Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning

Sandra Câmara Olim, Valentina Nisi, Teresa Romão

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Augmented Reality (AR) applications have the potential to improve students’ Chemistry learning performance. By identifying the unique features and affordances of this technology, we can design more effective tools to facilitate the learning process of abstract concepts. We developed Periodic Fable in the Wild, an AR serious game as an instrument to conduct design-based research. The game aims to facilitate the learning of abstract concepts related to the Periodic Table by children (9 to 13 years old). We intend to optimize our game by continuing our research with our target audience, analysing their feedback, making refinements and continuing testing.

Original language	English
Title of host publication	Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Proceedings
Editors	Carmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda, Kori Inkpen
Place of Publication	Cham
Publisher	Springer
Pages	513-516
Number of pages	4
Volume	Part IV
ISBN (Electronic)	978-3-030-85607-6
ISBN (Print)	978-3-030-85606-9
DOIs	https://doi.org/10.1007/978-3-030-85607-6_69
Publication status	Published - 2021
Event	18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021 - Bari, Italy Duration: 30 Aug 2021 → 3 Sept 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	12936 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021
Country/Territory	Italy
City	Bari
Period	30/08/21 → 3/09/21

Keywords

Augmented Reality
Chemistry
Serious games
Spatial skills

Access to Document

10.1007/978-3-030-85607-6_69

Cite this

Olim, S. C., Nisi, V., & Romão, T. (2021). Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning. In C. Ardito, R. Lanzilotti, A. Malizia, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Proceedings (Vol. Part IV, pp. 513-516). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12936 LNCS). Springer. https://doi.org/10.1007/978-3-030-85607-6_69

Olim, Sandra Câmara ; Nisi, Valentina ; Romão, Teresa. / Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning. Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Proceedings. editor / Carmelo Ardito ; Rosa Lanzilotti ; Alessio Malizia ; Alessio Malizia ; Helen Petrie ; Antonio Piccinno ; Giuseppe Desolda ; Kori Inkpen. Vol. Part IV Cham : Springer, 2021. pp. 513-516 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Olim, SC, Nisi, V & Romão, T 2021, Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning. in C Ardito, R Lanzilotti, A Malizia, A Malizia, H Petrie, A Piccinno, G Desolda & K Inkpen (eds), Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Proceedings. vol. Part IV, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12936 LNCS, Springer, Cham, pp. 513-516, 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021, Bari, Italy, 30/08/21. https://doi.org/10.1007/978-3-030-85607-6_69

Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning. / Olim, Sandra Câmara; Nisi, Valentina; Romão, Teresa.
Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Proceedings. ed. / Carmelo Ardito; Rosa Lanzilotti; Alessio Malizia; Alessio Malizia; Helen Petrie; Antonio Piccinno; Giuseppe Desolda; Kori Inkpen. Vol. Part IV Cham: Springer, 2021. p. 513-516 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12936 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Olim SC, Nisi V, Romão T. Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning. In Ardito C, Lanzilotti R, Malizia A, Malizia A, Petrie H, Piccinno A, Desolda G, Inkpen K, editors, Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Proceedings. Vol. Part IV. Cham: Springer. 2021. p. 513-516. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-85607-6_69

Towards Identifying Augmented Reality Unique Attributes to Facilitate Chemistry Learning

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Keywords

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