An Argument for Visualization Technologies in Spatial Skills Assessment

Kristin A. Bartlett; Jorge D. Camba

doi:10.1007/978-3-031-05657-4_3

An Argument for Visualization Technologies in Spatial Skills Assessment

Kristin A. Bartlett
, Jorge D. Camba

Producción científica: Conference contribution › revisión exhaustiva

6 Citas (Scopus)

Resumen

Spatial skills assessment is popular in educational research, with correlations found with success in STEM disciplines. One type of spatial assessment involves recognition and manipulation of drawings of 3D shapes. However, the use of 2D media to evaluate 3D abilities has inherent limitations that are a threat to the validity of the instruments. We propose that emerging visualization technologies can and should be used to create updated, more accurate instruments for the assessment of 3D spatial thinking. We examine the application of advanced computer rendering, virtual and augmented reality, eye-tracking, adaptive testing, and randomized question banks, and discuss how advanced visualization technologies can dramatically improve our ability to accurately evaluate spatial abilities in STEM educational contexts.

Idioma original	English
Título de la publicación alojada	Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
Editores	Panayiotis Zaphiris, Andri Ioannou
Páginas	30-39
Número de páginas	10
DOI	https://doi.org/10.1007/978-3-031-05657-4_3
Estado	Published - 2022
Evento	9th International Conference on Learning and Collaboration Technologies, LCT 2022 Held as Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online Duración: jun 26 2022 → jul 1 2022

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13328 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	9th International Conference on Learning and Collaboration Technologies, LCT 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Ciudad	Virtual, Online
Período	6/26/22 → 7/1/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-031-05657-4_3

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Bartlett, K. A., & Camba, J. D. (2022). An Argument for Visualization Technologies in Spatial Skills Assessment. En P. Zaphiris, & A. Ioannou (Eds.), Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings (pp. 30-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13328 LNCS). https://doi.org/10.1007/978-3-031-05657-4_3

Bartlett, Kristin A. ; Camba, Jorge D. / An Argument for Visualization Technologies in Spatial Skills Assessment. Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. editor / Panayiotis Zaphiris ; Andri Ioannou. 2022. pp. 30-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Spatial skills assessment is popular in educational research, with correlations found with success in STEM disciplines. One type of spatial assessment involves recognition and manipulation of drawings of 3D shapes. However, the use of 2D media to evaluate 3D abilities has inherent limitations that are a threat to the validity of the instruments. We propose that emerging visualization technologies can and should be used to create updated, more accurate instruments for the assessment of 3D spatial thinking. We examine the application of advanced computer rendering, virtual and augmented reality, eye-tracking, adaptive testing, and randomized question banks, and discuss how advanced visualization technologies can dramatically improve our ability to accurately evaluate spatial abilities in STEM educational contexts.",

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Bartlett, KA & Camba, JD 2022, An Argument for Visualization Technologies in Spatial Skills Assessment. En P Zaphiris & A Ioannou (eds.), Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13328 LNCS, pp. 30-39, 9th International Conference on Learning and Collaboration Technologies, LCT 2022 Held as Part of the 24th HCI International Conference, HCII 2022, Virtual, Online, 6/26/22. https://doi.org/10.1007/978-3-031-05657-4_3

An Argument for Visualization Technologies in Spatial Skills Assessment. / Bartlett, Kristin A.; Camba, Jorge D.
Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. ed. / Panayiotis Zaphiris; Andri Ioannou. 2022. p. 30-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13328 LNCS).

Producción científica: Conference contribution › revisión exhaustiva

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PY - 2022

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AB - Spatial skills assessment is popular in educational research, with correlations found with success in STEM disciplines. One type of spatial assessment involves recognition and manipulation of drawings of 3D shapes. However, the use of 2D media to evaluate 3D abilities has inherent limitations that are a threat to the validity of the instruments. We propose that emerging visualization technologies can and should be used to create updated, more accurate instruments for the assessment of 3D spatial thinking. We examine the application of advanced computer rendering, virtual and augmented reality, eye-tracking, adaptive testing, and randomized question banks, and discuss how advanced visualization technologies can dramatically improve our ability to accurately evaluate spatial abilities in STEM educational contexts.

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KW - Spatial skills

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Bartlett KA, Camba JD. An Argument for Visualization Technologies in Spatial Skills Assessment. En Zaphiris P, Ioannou A, editores, Learning and Collaboration Technologies. Designing the Learner and Teacher Experience - 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. 2022. p. 30-39. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-05657-4_3

An Argument for Visualization Technologies in Spatial Skills Assessment

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