Mobile app for psycho-statistics learning

Carlos Ramos-Galarza; Mónica Acosta-Rodas; Mónica Bolaños-Pasquel; Jorge Cruz-Cárdenas

doi:10.1007/978-3-030-50896-8_26

Mobile app for psycho-statistics learning

Carlos Ramos-Galarza, Mónica Acosta-Rodas, Mónica Bolaños-Pasquel, Jorge Cruz-Cárdenas

Faculty of Psychology

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

1 Scopus citations

Abstract

The requirements to complete the curricula for psychology students has a nodal point which has not yet been solved, it is the acquirement of statistical analyses competences. In this sense, the present work represents the creative development of a mobile application for teaching statistics to Psychology students and professionals. Taking into account this problem and based on the technological use that a mobile cellphone has, our proposal as technological innovation is to create series of mobile applications, for Android and IOS, addressing students and professionals in this science that would like to conduct statistical analyses with high quality competences. In this first mobile application proposed, descriptive statistics will be taught, and it will have various stages with sub-components to interact with the user of the app.

Original language	English
Title of host publication	Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences
Editors	Salman Nazir, Tareq Ahram, Waldemar Karwowski
Publisher	Springer
Pages	170-174
Number of pages	5
ISBN (Print)	9783030508951
DOIs	https://doi.org/10.1007/978-3-030-50896-8_26
State	Published - 2020
Event	AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020 - San Diego, United States Duration: 16 Jul 2020 → 20 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1211 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020
Country/Territory	United States
City	San Diego
Period	16/07/20 → 20/07/20

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

Keywords

Apps
Learning and teaching
Psycho statistics
Smartphones
Technological innovation

Access to Document

10.1007/978-3-030-50896-8_26

Cite this

Ramos-Galarza, C., Acosta-Rodas, M., Bolaños-Pasquel, M., & Cruz-Cárdenas, J. (2020). Mobile app for psycho-statistics learning. In S. Nazir, T. Ahram, & W. Karwowski (Eds.), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences (pp. 170-174). (Advances in Intelligent Systems and Computing; Vol. 1211 AISC). Springer. https://doi.org/10.1007/978-3-030-50896-8_26

Ramos-Galarza, Carlos ; Acosta-Rodas, Mónica ; Bolaños-Pasquel, Mónica et al. / Mobile app for psycho-statistics learning. Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. editor / Salman Nazir ; Tareq Ahram ; Waldemar Karwowski. Springer, 2020. pp. 170-174 (Advances in Intelligent Systems and Computing).

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abstract = "The requirements to complete the curricula for psychology students has a nodal point which has not yet been solved, it is the acquirement of statistical analyses competences. In this sense, the present work represents the creative development of a mobile application for teaching statistics to Psychology students and professionals. Taking into account this problem and based on the technological use that a mobile cellphone has, our proposal as technological innovation is to create series of mobile applications, for Android and IOS, addressing students and professionals in this science that would like to conduct statistical analyses with high quality competences. In this first mobile application proposed, descriptive statistics will be taught, and it will have various stages with sub-components to interact with the user of the app.",

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note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.; AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",

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Ramos-Galarza, C, Acosta-Rodas, M, Bolaños-Pasquel, M & Cruz-Cárdenas, J 2020, Mobile app for psycho-statistics learning. in S Nazir, T Ahram & W Karwowski (eds), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. Advances in Intelligent Systems and Computing, vol. 1211 AISC, Springer, pp. 170-174, AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020, San Diego, United States, 16/07/20. https://doi.org/10.1007/978-3-030-50896-8_26

Mobile app for psycho-statistics learning. / Ramos-Galarza, Carlos; Acosta-Rodas, Mónica; Bolaños-Pasquel, Mónica et al.
Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. ed. / Salman Nazir; Tareq Ahram; Waldemar Karwowski. Springer, 2020. p. 170-174 (Advances in Intelligent Systems and Computing; Vol. 1211 AISC).

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

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AU - Ramos-Galarza, Carlos

AU - Acosta-Rodas, Mónica

AU - Bolaños-Pasquel, Mónica

AU - Cruz-Cárdenas, Jorge

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - The requirements to complete the curricula for psychology students has a nodal point which has not yet been solved, it is the acquirement of statistical analyses competences. In this sense, the present work represents the creative development of a mobile application for teaching statistics to Psychology students and professionals. Taking into account this problem and based on the technological use that a mobile cellphone has, our proposal as technological innovation is to create series of mobile applications, for Android and IOS, addressing students and professionals in this science that would like to conduct statistical analyses with high quality competences. In this first mobile application proposed, descriptive statistics will be taught, and it will have various stages with sub-components to interact with the user of the app.

AB - The requirements to complete the curricula for psychology students has a nodal point which has not yet been solved, it is the acquirement of statistical analyses competences. In this sense, the present work represents the creative development of a mobile application for teaching statistics to Psychology students and professionals. Taking into account this problem and based on the technological use that a mobile cellphone has, our proposal as technological innovation is to create series of mobile applications, for Android and IOS, addressing students and professionals in this science that would like to conduct statistical analyses with high quality competences. In this first mobile application proposed, descriptive statistics will be taught, and it will have various stages with sub-components to interact with the user of the app.

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ER -

Ramos-Galarza C, Acosta-Rodas M, Bolaños-Pasquel M, Cruz-Cárdenas J. Mobile app for psycho-statistics learning. In Nazir S, Ahram T, Karwowski W, editors, Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. Springer. 2020. p. 170-174. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-50896-8_26

Mobile app for psycho-statistics learning

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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