International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 10, Issue 12 (December 2023), Pages: 184-192

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 Original Research Paper

Emotional impact of online assessment strategies in engineering mathematics during COVID-19 confinement: A study in Mexico City

 Author(s): 

 Elena Fabiola Ruiz-Ledesma *, Lorena Chavarría-Báez, Juan Jesús Gutiérrez-García

 Affiliation(s):

 Instituto Politécnico Nacional Escuela Superior de Cómputo, Mexico City, Mexico

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-1513-8243

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2023.12.020

 Abstract

This study looks into how online testing methods in engineering math classes at a university in Mexico City affected students' emotions during the lockdown caused by the COVID-19 pandemic. It seeks to understand which specific testing techniques increased feelings of frustration, anger, anxiety, sadness, shame, and boredom among students. The research used a quantitative approach, focusing on describing and predicting outcomes, and gathered data from 324 university students chosen randomly. It examined which testing methods were most linked to negative feelings using correlation analysis and built models using ordinary least squares. The findings showed that traditional paper exams and the requirement to keep cameras on during video calls were the biggest sources of negative emotions. On the other hand, interactive methods like chat and forum participation, as well as making information organizers, had little to no emotional impact. The research also found that project-based assessments were emotionally neutral for students. When comparing these results with other studies, there's agreement that written and oral exams cause more stress in online settings. The study suggests using a variety of testing methods to avoid depending too much on any one way of assessing students and recommends making exams count for less. These suggestions aim to help improve the educational experience for students in similar situations.

 © 2023 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Online assessment methods, Emotional impact, Engineering mathematics, COVID-19 confinement, Quantitative methodology

 Article history

 Received 31 July 2023, Received in revised form 2 December 2023, Accepted 7 December 2023

 Acknowledgment 

The authors would like to thank the Instituto Politécnico Nacional for their support of this research. The authors gratefully acknowledge the support provided by the Secretaría de Investigación y Posgrado (SIP-IPN). This paper is derived from research project 20230735. Thanks also to EDI and COFAA.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Ruiz-Ledesma EF, Chavarría-Báez L, and Gutiérrez-García JJ (2023). Emotional impact of online assessment strategies in engineering mathematics during COVID-19 confinement: A study in Mexico City. International Journal of Advanced and Applied Sciences, 10(12): 184-192

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5

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 References (49)

  1. Abaalkhail R, Guthier B, Alharthi R, and El Saddik A (2018). Survey on ontologies for affective states and their influences. Semantic Web, 9(4): 441-458. https://doi.org/10.3233/SW-170270   [Google Scholar]
  2. Basilaia G and Kvavadze D (2020). Transition to online education in schools during a SARS-CoV-2 coronavirus (COVID-19) pandemic in Georgia. Pedagogical Research, 5(4): em0060. https://doi.org/10.29333/pr/7937   [Google Scholar]
  3. Bleakley J, Woolcott G, Yeigh T, and Whannell R (2020). Reflecting on emotions during teaching: Developing affective-reflective skills in early career teachers using a novel critical moment protocol. Australian Journal of Teacher Education (Online), 45(10): 55-72. https://doi.org/10.14221/ajte.2020v45n10.4   [Google Scholar]
  4. Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, and Zheng J (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research, 287: 112934. https://doi.org/10.1016/j.psychres.2020.112934   [Google Scholar] PMid:32229390 PMCid:PMC7102633
  5. Chadwick R and McLoughlin E (2021). Impact of the COVID-19 crisis on learning, teaching and facilitation of practical activities in science upon reopening of Irish schools. Irish Educational Studies, 40(2): 197-205. https://doi.org/10.1080/03323315.2021.1915838   [Google Scholar]
  6. Cobos R, Rodríguez P, and Ortigosa A (2013). A case study on the influence of emotions on students' and instructors' marks. In the 7th International Conference on Complex, Intelligent, and Software Intensive Systems, IEEE, Taichung, Taiwan: 397-400. https://doi.org/10.1109/CISIS.2013.72   [Google Scholar]
  7. Crawford J, Butler-Henderson K, Rudolph J, Malkawi B, Glowatz M, Burton R, and Lam S (2020). COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. Journal of Applied Learning and Teaching, 3(1): 1-20. https://doi.org/10.37074/jalt.2020.3.1.7   [Google Scholar]
  8. Elshami W, Taha MH, Abuzaid M, Saravanan C, Al Kawas S, and Abdalla ME (2021). Satisfaction with online learning in the new normal: Perspective of students and faculty at medical and health sciences colleges. Medical Education Online, 26(1): 1920090. https://doi.org/10.1080/10872981.2021.1920090   [Google Scholar] PMid:33974523 PMCid:PMC8118529
  9. Forsblom L, Pekrun R, Loderer K, and Peixoto F (2022). Cognitive appraisals, achievement emotions, and students’ math achievement: A longitudinal analysis. Journal of Educational Psychology, 114(2): 346-367. https://doi.org/10.1037/edu0000671   [Google Scholar]
  10. García VA, Villaverde VA, Benito VD, and Muñoz RC (2020). Aprendizaje basado en proyectos y estrategias de evaluación formativas: Percepción de los estudiantes universitarios. Revista Iberoamericana de Evaluación Educativa, 13(1): 93-110. https://doi.org/10.15366/riee2020.13.1.004   [Google Scholar]
  11. García-Peñalvo FJ (2022). El sistema universitario ante la COVID-19: Retrospectiva y prospectiva de la transformación digital. In: Llorens-Largo F and López-Meseguer R (Eds.), Transformación digital de las Universidades; Hacia un futuro postpandemia: 142-148. Universidad Internacional de La Rioja (UNIR), Logroño, Spain.   [Google Scholar]
  12. Gervacio Jiménez H and Castillo Elías B (2022). Impactos socioemocionales, estrategias y retos docentes en el nivel medio superior durante el confinamiento por COVID-19. Revista Iberoamericana Para la Investigación y el Desarrollo Educativo, 12(24): e321. https://doi.org/10.23913/ride.v12i24.1133   [Google Scholar]
  13. Grande-de-Prado M, García-Peñalvo FJ, Corell Almuzara A, and Abella-García V (2021). Higher education assessment during COVID-19 pandemic. Campus Virtuales, 10(1): 49-58.   [Google Scholar]
  14. Harskamp E and Suhre C (2007). Schoenfeld’s problem solving theory in a student controlled learning environment. Computers and Education, 49(3): 822-839. https://doi.org/10.1016/j.compedu.2005.11.024   [Google Scholar]
  15. Hernández RS and Mendoza C (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta. McGraw Hill, México, USA.   [Google Scholar]
  16. Iman N, Ramli M, and Saridewi N (2021). Kahoot as an assessment tools: Students' perception of game-based learning platform. Jurnal Penelitian dan Pembelajaran IPA, 7(2): 245-259. https://doi.org/10.30870/jppi.v7i2.8304   [Google Scholar]
  17. Jiang R, Star JR, Hästö P, Li L, Liu RD, Tuomela D, and Pejlare J (2023). Which one is the “best”: A cross-national comparative study of students’ strategy evaluation in equation solving. International Journal of Science and Mathematics Education, 21(4): 1127-1151. https://doi.org/10.1007/s10763-022-10282-6   [Google Scholar]
  18. Karasmanaki E and Tsantopoulos G (2021). Impacts of social distancing during COVID-19 pandemic on the daily life of forestry students. Children and Youth Services Review, 120: 105781. https://doi.org/10.1016/j.childyouth.2020.105781   [Google Scholar] PMid:33318720 PMCid:PMC7720009
  19. Khan KS, Mamun MA, Griffiths MD, and Ullah I (2022). The mental health impact of the COVID-19 pandemic across different cohorts. International Journal of Mental Health and Addiction, 20(1): 380-386. https://doi.org/10.1007/s11469-020-00367-0   [Google Scholar] PMid:32837440 PMCid:PMC7347045
  20. Khasawneh E, Gosling C, and Williams B (2021). What impact does maths anxiety have on university students? BMC Psychology, 9: 37. https://doi.org/10.1186/s40359-021-00537-2   [Google Scholar] PMid:33632322 PMCid:PMC7905856
  21. Khodabakhshi-Koolaee A (2020). Living in home quarantine: Analyzing psychological experiences of college students during COVID-19 pandemic. Journal of Military Medicine, 22(2): 130-138.   [Google Scholar]
  22. Kim J and Sun M (2021). The implementation and potential effects of teacher evaluation under local control. School Effectiveness and School Improvement, 32(2): 279-305. https://doi.org/10.1080/09243453.2020.1841657   [Google Scholar]
  23. König C and Frey A (2022). The impact of COVID‐19‐related school closures on student achievement: A meta‐analysis. Educational Measurement: Issues and Practice, 41(1): 16-22. https://doi.org/10.1111/emip.12495   [Google Scholar]
  24. Koppad S, Gadad J, Patil P, and Vijayalakshmi M (2023). Understanding the influence of student’s emotions in academic success. In the 2nd Edition of IEEE Delhi Section Flagship Conference, IEEE, Rajpura, India: 1-6. https://doi.org/10.1109/DELCON57910.2023.10127402   [Google Scholar]
  25. Kwon K, Shin S, and Park SJ (2018). Effects of graphic organizers in online discussions: Comparison between instructor-provided and student-generated. Educational Technology Research and Development, 66: 1479-1503. https://doi.org/10.1007/s11423-018-9617-7   [Google Scholar]
  26. Leung JSC and Cheng MMW (2023). Prioritizing emotion objects in making sense of student learning of socioscientific issues. Journal of Research in Science Teaching, 60(2): 357-389. https://doi.org/10.1002/tea.21801   [Google Scholar]
  27. Lin WL, Tsai PH, Lin HY, and Chen HC (2014). How does emotion influence different creative performances? The mediating role of cognitive flexibility. Cognition and Emotion, 28(5): 834-844. https://doi.org/10.1080/02699931.2013.854195   [Google Scholar] PMid:24237485
  28. Loewenstein G and Lerner JS (2003). The role of affect in decision making. In: Davidson RJ, Sherer KR, and Goldsmith HH (Eds.), Handbook of affective science: 619-642. Oxford University Press, Oxford, UK. https://doi.org/10.1093/oso/9780195126013.003.0031   [Google Scholar]
  29. Mu D and Guo W (2022). Impact of students’ online learning burnout on learning performance–The intermediary role of game evaluation. International Journal of Emerging Technologies in Learning, 17(2): 239-253. https://doi.org/10.3991/ijet.v17i02.28555   [Google Scholar]
  30. Muscalagiu I, Iordan A, Muscalagiu DM, and Panoiu M (2009). Implementation and evaluation model with synchronization for the asynchronous search techniques. In the 13th WSEAS International Conference on COMPUTERS: Recent Advances in Computers, Rodos, Greece: 211-216.   [Google Scholar]
  31. Nitsche J, Busse TS, Kernebeck S, and Ehlers JP (2022). Virtual classrooms and their challenge of interaction-An evaluation of chat activities and logs in an online course about digital medicine with heterogeneous participants. International Journal of Environmental Research and Public Health, 19(16): 10184. https://doi.org/10.3390/ijerph191610184   [Google Scholar] PMid:36011818 PMCid:PMC9408056
  32. O'Leary K, Fitzpatrick CL, and Hallett D (2017). Math anxiety is related to some, but not all, experiences with math. Frontiers in Psychology, 8: 2067. https://doi.org/10.3389/fpsyg.2017.02067   [Google Scholar] PMid:29375410 PMCid:PMC5770635
  33. Ospina TR and Serrano MV (2021). College students’ self-regulation of motivation strategies, and its relationship with classroom environment in mathematics courses. Acta Colombiana de Psicología, 24(1): 47-62.   [Google Scholar]
  34. Parahoo SK, Santally MI, Rajabalee Y, and Harvey HL (2016). Designing a predictive model of student satisfaction in online learning. Journal of Marketing for Higher Education, 26(1): 1-19. https://doi.org/10.1080/08841241.2015.1083511   [Google Scholar]
  35. Pelikan ER, Korlat S, Reiter J, Holzer J, Mayerhofer M, Schober B, and Lüftenegger M (2021). Distance learning in higher education during COVID-19: The role of basic psychological needs and intrinsic motivation for persistence and procrastination–A multi-country study. PLOS ONE, 16(10): e0257346. https://doi.org/10.1371/journal.pone.0257346   [Google Scholar] PMid:34613978 PMCid:PMC8494346
  36. Qian-Khoo JX, Hiruy K, Hutton RWA, and Barraket J (2022). A systematic review of meta-evaluations: Lessons for evaluation and impact analysis. American Journal of Evaluation, 43(3): 394-411. https://doi.org/10.1177/10982140211018276   [Google Scholar]
  37. Salmela‐Aro K and Upadyaya K (2014). School burnout and engagement in the context of demands–resources model. British Journal of Educational Psychology, 84(1): 137-151. https://doi.org/10.1111/bjep.12018   [Google Scholar] PMid:24547758
  38. Setiawan R, Budiharto W, Kartowisastro IH, and Prabowo H (2020). Learning evaluation effectiveness through dashboard of knowledge using dimensions of multi-criteria of WELS. IEEE Access, 8: 10254-10261. https://doi.org/10.1109/ACCESS.2020.2964811   [Google Scholar]
  39. Sosa-Flores AE, Acosta-Soto L, Abbas A, Camacho-Zuñiga C, Pego L, Escamilla J, and Hosseini S (2022). Our community matters: An analysis of the students’ and parents’ emotions in the midst of COVID-19 pandemic. In the IEEE Frontiers in Education Conference, IEEE, Uppsala, Sweden: 1-7. https://doi.org/10.1109/FIE56618.2022.9962499   [Google Scholar]
  40. Subramainan L, Mahmoud MA, Ahmad MS, and Yusoff MZM (2016). A conceptual emotion-based model to improve students engagement in a classroom using agent-based social simulation. In the 4th International Conference on User Science and Engineering, IEEE, Melaka, Malaysia: 149-154. https://doi.org/10.1109/IUSER.2016.7857951   [Google Scholar]
  41. Tang T, Abuhmaid AM, Olaimat M, Oudat DM, Aldhaeebi M, and Bamanger E (2023). Efficiency of flipped classroom with online-based teaching under COVID-19. Interactive Learning Environments, 31(2): 1077-1088. https://doi.org/10.1080/10494820.2020.1817761   [Google Scholar]
  42. Thomas JE and Graham CR (2019). Online teaching competencies in observational rubrics: What are institutions evaluating? Distance Education, 40(1): 114-132. https://doi.org/10.1080/01587919.2018.1553564   [Google Scholar]
  43. Tiwari PS, Karnatak H, Agarwal S, Pandey K, Vishwakarma J, Ghildiyal A, and Chauhan P (2021). Distance learning experience during COVID-19 period in higher education for space application. Journal of the Indian Society of Remote Sensing, 49: 2549-2558. https://doi.org/10.1007/s12524-021-01407-5   [Google Scholar] PMCid:PMC8285687
  44. UNESCO (2021). One year into COVID: Prioritizing education recovery to avoid a generational catastrophe. United Nations Educational, Scientific and Cultural Organization, Paris, France.   [Google Scholar]
  45. Wang Z and Yu N (2021). Education data-driven online course optimization mechanism for college student. Mobile Information Systems, 2021: 5545621. https://doi.org/10.1155/2021/5545621   [Google Scholar]
  46. Wanzer DL (2021). What is evaluation?: Perspectives of how evaluation differs (or not) from research. American Journal of Evaluation, 42(1): 28-46. https://doi.org/10.1177/1098214020920710   [Google Scholar]
  47. Weerasinghe IS and Fernando RL (2017). Students' satisfaction in higher education. American Journal of Educational Research, 5(5): 533-539.   [Google Scholar]
  48. Wei HC and Chou C (2020). Online learning performance and satisfaction: Do perceptions and readiness matter? Distance Education, 41(1): 48-69. https://doi.org/10.1080/01587919.2020.1724768   [Google Scholar]
  49. Xie X, Siau K, and Nah FFH (2020). COVID-19 pandemic–Online education in the new normal and the next normal. Journal of Information Technology Case and Application Research, 22(3): 175-187. https://doi.org/10.1080/15228053.2020.1824884   [Google Scholar]