| Literature DB >> 35549509 |
Dayana S Gonçalves-Manso1, Mateus P Rodrigues1, Ayla Secio-Silva1, Eliza L Alves1, Vitória S Oliveira1, Pedro E P Carvalho1, Ikaro J S Beraldo1, Giulia T C Vaccarezza1, Rodrigo S Viza1, Francisco A C Carmo1, Grace S Pereira1, Paula Bargi-Souza1, Glauber S F da Silva1, Pedro P G Guimaraes1.
Abstract
The COVID-19 pandemic affected almost all aspects of our lives, including the education sector and the way of teaching and learning. In March 2020, health authorities in Brazil imposed social isolation and the interruption of on-site activities in schools and universities. In this context, the Federal University of Minas Gerais (UFMG), one of the largest universities in Brazil and Latin America, developed an emergency remote learning (ERL) plan that allowed the return of classes in an online format and supported students to obtain access to equipment and internet network. Within this new perspective, the Undergraduate Teaching Assistant (UTA) program of the Department of Physiology and Biophysics (DFIB) explored strategies to minimize the impact of the absence of face-to-face classes. Using different available tools in online platforms and social media such as Microsoft Teams, YouTube animated video classes, and Instagram, the UTA program assisted >500 undergraduate students and strongly supported professors during ERL. In just over a year, our video classes on YouTube Channel reached ∼40,000 views. Most of the students reported that their questions were fully and quickly solved by the UTA program. Collectively, our results indicate that the strategies implemented by the UTA program helped the undergraduate students and professors to adapt to a remote learning format.Entities:
Keywords: COVID-19; UFMG; biophysics; online teaching; physiology
Mesh:
Year: 2022 PMID: 35549509 PMCID: PMC9169850 DOI: 10.1152/advan.00042.2022
Source DB: PubMed Journal: Adv Physiol Educ ISSN: 1043-4046 Impact factor: 2.396
Figure 1.Workflow of the Undergraduate Teaching Assistant (UTA) dynamics during emergency remote learning (ERL): workflow of online teaching and assistance (A), tutorial for video classes (B), production of animated and interactive video classes (C), and dissemination and communication of physiology and biophysics via social media (D).
Figure 2.Number of online requests fulfilled. A: total number of online requests fulfilled during emergency remote learning (ERL) (cumulative data from 2020/1, 2020/2, and 2021/1). B: number of online requests fulfilled (bars, left y-axis) and the ratio between the number of requests fulfilled and the total number of students enrolled in physiology and biophysics (line, right y-axis). Both data sets regard the periods during in-person classes (2019/1 and 2019/2) and ERL (2020/1, 2020/2, and 2021/1/).
Figure 3.Number of online teaching requests by undergraduate course and comparison between biophysics and physiology demands during emergency remote learning (ERL). A: number of online teaching requests in each course per semester and the ratio of students requesting assistance to total number of students enrolled in physiology and biophysics subjects in each course (“others” refers to the total number of online teaching requests from Biomedicine, Physical Education, Occupational Therapy, Nutrition, Psychology, Speech Therapy, and Radiology courses). B: number of requests fulfilled related to physiology and biophysics subjects per semester (bars, left y-axis) and the ratio of requests fulfilled to the total number of students enrolled in physiology and/or biophysics subjects (points, right y-axis).
Figure 4.Number of views on YouTube channel over emergency remote learning (ERL) time. The dashed lines indicate the transition of semesters: 2020/1 (started on August 3rd and ended on November 7th), 2020/2 (started on November 30th and ended on March 31st), and 2021/1 (started on May 17th and ended on September 13th). All data were collected on the YouTube platform on September 11th, 2021.
Feedback about the UTA program before and during ERL and comparison of UTA online program with face-to-face support
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| Student waiting time to be assisted by UTA program | Quickly | Late | ||
| 85.7%% | 14.3% | |||
| Level of satisfaction about UTA support | Question fully solved | Question partially solved | Question not solved | |
| 71.4% | 25% | 3.6% | ||
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| Student waiting time to be assisted by UTA program | Quickly | Late | ||
| 92% | 8% | |||
| Level of satisfaction about UTA support | Question fully solved | Question partially solved | Question not solved | |
| 91% | 8% | 1% | ||
| Level of satisfaction about UTA support via Microsoft Teams | Excellent | Good | Regular | NTD |
| 69% | 18% | 3% | 10% | |
| Level of satisfaction about UTA support via e-mail | Excellent | Good | Regular | Insufficient or NTD |
| 76% | 17% | 4% | 3% | |
| Relevance of YouTube video classes | Relevant | Indifferent | NTD | |
| 82% | 5% | 13% | ||
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| Compared to face-to-face, online UTA program was: | Facilitated | Indifferent | Harmed | NTD |
| 27% | 11% | 15% | 47% | |
| Back to in-person classes, UTA program should be: | Fully online | Fully in-person | Hybrid | NTD |
| 18% | 18% | 58% | 6% | |
ERL, emergency remote learning; NTD, nothing to declare; UTA, Undergraduate Teaching Assistant.