IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i3p1032-d483599.html
   My bibliography  Save this article

An Online-Based Edu-Escape Room: A Comparison Study of a Multidimensional Domain of PSTs with Flipped Sustainability-STEM Contents

Author

Listed:
  • Félix Yllana-Prieto

    (Departamento de Didáctica de las Ciencias Experimentales y Matemáticas, Universidad de Extremadura, 10003 Cáceres, Spain)

  • Jin Su Jeong

    (Departamento de Didáctica de las Ciencias Experimentales y Matemáticas, Universidad de Extremadura, 10003 Cáceres, Spain)

  • David González-Gómez

    (Departamento de Didáctica de las Ciencias Experimentales y Matemáticas, Universidad de Extremadura, 10003 Cáceres, Spain)

Abstract

The use of active and flipped methodologies has increased in recent years. Here, gamification uses typical elements of a game in different contexts, including that of education. Specifically, Escape Room games used as educational tools have potential for teaching–learning, and they can be beneficial because they can improve students’ motivation and emotions toward learning. This is particularly valuable in science, technology, engineering and mathematics (STEM) courses, where the cognitive factor and multidimensional domain are closely connected. This research presents an online-based Edu-Escape Room with science and sustainability contents as an educative tool in a STEM course. With the intervention proposed, we analyze how this tool influences the multidimensional domain (attitudes, self-efficacy and emotions) of pre-service teachers (PSTs). According to attitude and self-efficacy analysis, it is observed that most of the items analyzed show an increase in self-efficacy and more positive attitudes after the intervention. In particular, Question 11 (Q11) indicates a significant difference. Concerning the results for emotion, the positive emotions “joy”, “satisfaction” and “fun” are significantly increased after the intervention. However, the negative emotions “nervousness”, “frustration” and “concern” also increase, partly due to the game characteristics. The proposed activity had a medium effect on items with significant differences except for the emotion “frustration”, where the intervention had a large effect according to effect size (ES) analysis. According to the principal component analysis (PCA), the attitudes, self-efficacy and emotions of the PSTs are positively correlated, and the influence of the proposed activity shows a significant improvement in these variables. Finally, the structural equation modeling partial least squares (SEM-PLS) analysis showed the effects that the instruction has on the PSTs’ emotions and also that they had a significant effect on the positive attitudes towards and self-efficacy in science. Therefore, there are multiple benefits in the multidimensional domain of PSTs of having implemented the proposed online-based Edu-Escape Room.

Suggested Citation

  • Félix Yllana-Prieto & Jin Su Jeong & David González-Gómez, 2021. "An Online-Based Edu-Escape Room: A Comparison Study of a Multidimensional Domain of PSTs with Flipped Sustainability-STEM Contents," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1032-:d:483599
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/3/1032/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/3/1032/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peres-Neto, Pedro R. & Jackson, Donald A. & Somers, Keith M., 2005. "How many principal components? stopping rules for determining the number of non-trivial axes revisited," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 974-997, June.
    2. Wiswall, Matthew & Stiefel, Leanna & Schwartz, Amy Ellen & Boccardo, Jessica, 2014. "Does attending a STEM high school improve student performance? Evidence from New York City," Economics of Education Review, Elsevier, vol. 40(C), pages 93-105.
    3. Cindy Harmon-Jones & Brock Bastian & Eddie Harmon-Jones, 2016. "The Discrete Emotions Questionnaire: A New Tool for Measuring State Self-Reported Emotions," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-25, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jin Su Jeong & David González-Gómez, 2021. "Flipped-OCN Method in Mathematics Learning to Analyze the Attitudes of Pre-Service Teachers," Mathematics, MDPI, vol. 9(6), pages 1-14, March.
    2. Tatjana Sidekerskienė & Robertas Damaševičius, 2023. "Out-of-the-Box Learning: Digital Escape Rooms as a Metaphor for Breaking Down Barriers in STEM Education," Sustainability, MDPI, vol. 15(9), pages 1-33, April.
    3. David González-Gómez & Jin Su Jeong, 2022. "Approaches and Methods of Science Teaching and Sustainable Development," Sustainability, MDPI, vol. 14(3), pages 1-8, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    2. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    3. Joy R. Petway & Yu-Pin Lin & Rainer F. Wunderlich, 2019. "Analyzing Opinions on Sustainable Agriculture: Toward Increasing Farmer Knowledge of Organic Practices in Taiwan-Yuanli Township," Sustainability, MDPI, vol. 11(14), pages 1-27, July.
    4. Jonas Eberle & Renier Myburgh & Dirk Ahrens, 2014. "The Evolution of Morphospace in Phytophagous Scarab Chafers: No Competition - No Divergence?," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-16, May.
    5. Johann Fuchs & Doris Söhnlein & Brigitte Weber & Enzo Weber, 2018. "Stochastic Forecasting of Labor Supply and Population: An Integrated Model," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 33-58, February.
    6. Hauck, Jana & Suess-Reyes, Julia & Beck, Susanne & Prügl, Reinhard & Frank, Hermann, 2016. "Measuring socioemotional wealth in family-owned and -managed firms: A validation and short form of the FIBER Scale," Journal of Family Business Strategy, Elsevier, vol. 7(3), pages 133-148.
    7. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    8. Muminović Adnan, 2023. "Not Just Empty Rhetoric: The Economic Cost of Warmongering in a Post-Conflict Environment," South East European Journal of Economics and Business, Sciendo, vol. 18(2), pages 112-125, December.
    9. Volker G. Kuppelwieser & Aleksa-Carina Putinas & Marina Bastounis, 2019. "Toward Application and Testing of Measurement Scales and an Example," Sociological Methods & Research, , vol. 48(2), pages 326-349, May.
    10. Leise Kelli de Oliveira & Carla de Oliveira Leite Nascimento & Paulo Renato de Sousa & Paulo Tarso Vilela de Resende & Francisco Gildemir Ferreira da Silva, 2019. "Transport Service Provider Perception of Barriers and Urban Freight Policies in Brazil," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    11. Ovidiu Popa-Velea & Alexandra Ioana Mihăilescu & Liliana Veronica Diaconescu & Iuliana Raluca Gheorghe & Adela Magdalena Ciobanu, 2021. "Meaning in Life, Subjective Well-Being, Happiness and Coping at Physicians Attending Balint Groups: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(7), pages 1-11, March.
    12. Rajeev Darolia & Cory Koedel & Joyce B. Main & Felix Ndashimye & Junpeng Yan, 2020. "High School Course Access and Postsecondary STEM Enrollment and Attainment," Working Papers 2004, Department of Economics, University of Missouri.
    13. David Juárez-Varón & Victoria Tur-Viñes & Alejandro Rabasa-Dolado & Kristina Polotskaya, 2020. "An Adaptive Machine Learning Methodology Applied to Neuromarketing Analysis: Prediction of Consumer Behaviour Regarding the Key Elements of the Packaging Design of an Educational Toy," Social Sciences, MDPI, vol. 9(9), pages 1-23, September.
    14. Gang Li & Chu Zhang, 2010. "On the Number of State Variables in Options Pricing," Management Science, INFORMS, vol. 56(11), pages 2058-2075, November.
    15. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    16. Edoardo Saccenti & Marieke E. Timmerman, 2017. "Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 186-209, March.
    17. Mihai Gavrilescu & Nicolae Vizireanu, 2019. "Feedforward Neural Network-Based Architecture for Predicting Emotions from Speech," Data, MDPI, vol. 4(3), pages 1-23, July.
    18. repec:jss:jstsof:46:i04 is not listed on IDEAS
    19. Dray, Stephane, 2008. "On the number of principal components: A test of dimensionality based on measurements of similarity between matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2228-2237, January.
    20. repec:dgr:rugsom:14008-eef is not listed on IDEAS
    21. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    22. Bauer, Jan O. & Drabant, Bernhard, 2021. "Principal loading analysis," Journal of Multivariate Analysis, Elsevier, vol. 184(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1032-:d:483599. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.