Autores: ¹ Nefi Manuel Galán Cherrez, 2 Félix Jacinto García Córdova, 3 María Teresa Alban Defilippi y 4 Francisco Reinaldo Villao Villacres
¹ORCID ID: https://orcid.org/0009-0005-5359-9808
2ORCID ID: https://orcid.org/0000-0002-1444-6789
3ORCID ID: https://orcid.org/0000-0003-3915-2530
4ORCID ID: https://orcid.org/0000-0002-8935-8302
¹E-mail de contacto: [email protected]
2E-mail de contacto: [email protected]
3E-mail de contacto: [email protected]
4E-mail de contacto: [email protected]
Afiliación: 1234*Universidad de Guayaquil (Ecuador)
Articulo recibido: 12 de noviembre del 2024
Articulo revisado: 15 de diciembre del 2024 Articulo aprobado: 20 de diciembre del 2024
¹ Master’s degree in Teaching English as a Foreign Language ESPOL (Escuela Superior Politécnica del Litoral) “Litoral Polytechnic Higher School”, Guayaquil Ecuador; bachelor’s degree of Sciences of Education in English Teaching.
2 Master of Education, Strayer University, Washington DC, USA; Bachelor of Arts Major; Secondary Education in History. Puerto Rico, USA.
3 Master in Pedagogy of national and foreign languages mention in English teaching, Casa Grande University. Guayaquil, Ecuador Bachelor’s degree in educational sciences mention English language and linguistics, University of Guayaquil. Guayaquil, Ecuador.
4 Master’s degree in Educational Sciences Mention in Educational Research, Vicente
Rocafuerte University. Guayaquil, Ecuador. Bachelor’s degree in English Language with a specialization in Linguistics and Literature. Vicente Rocafuerte University. Guayaquil, Ecuador.
Results
Tabla 3. Documentos citados vinculados a las variables
Student |
Understanding technical terms |
Application in context |
Precision in use of terms |
Fluency in terminology |
Total Score Pretest (0-100) |
Total Score Postest (0-100) |
1 |
Pretest: 12 / Postest: 17 |
Pretest: 10 / Postest: 18 |
Pretest: 11 / Postest: 17 |
Pretest: 12 / Postest: 19 |
45 |
71 |
2 |
Pretest: 13 / Postest: 18 |
Pretest: 12 / Postest: 20 |
Pretest: 10 / Postest: 16 |
Pretest: 15 / Postest: 19 |
50 |
73 |
3 |
Pretest: 15 / Postest: 19 |
Pretest: 13 / Postest: 18 |
Pretest: 12 / Postest: 16 |
Pretest: 15 / Postest: 19 |
55 |
72 |
4 |
Pretest: 10 / Postest: 15 |
Pretest: 11 / Postest: 17 |
Pretest: 9 / Postest: 14 |
Pretest: 12 / Postest: 16 |
42 |
62 |
5 |
Pretest: 14 / Postest: 19 |
Pretest: 12 / Postest: 19 |
Pretest: 11 / Postest: 17 |
Pretest: 13 / Postest: 20 |
50 |
75 |
6 |
Pretest: 12 / Postest: 18 |
Pretest: 10 / Postest: 16 |
Pretest: 10 / Postest: 16 |
Pretest: 11 / Postest: 18 |
43 |
68 |
7 |
Pretest: 13 / Postest: 18 |
Pretest: 12 / Postest: 17 |
Pretest: 10 / Postest: 16 |
Pretest: 15 / Postest: 18 |
50 |
69 |
8 |
Pretest: 10 / Postest: 16 |
Pretest: 12 / Postest: 18 |
Pretest: 10 / Postest: 15 |
Pretest: 12 / Postest: 20 |
44 |
69 |
9 |
Pretest: 11 / Postest: 16 |
Pretest: 10 / Postest: 15 |
Pretest: 9 / Postest: 14 |
Pretest: 13 / Postest: 18 |
43 |
63 |
10 |
Pretest: 14 / Postest: 20 |
Pretest: 12 / Postest: 19 |
Pretest: 11 / Postest: 17 |
Pretest: 13 / Postest: 18 |
50 |
74 |
11 |
Pretest: 11 / Postest: 17 |
Pretest: 12 / Postest: 18 |
Pretest: 10 / Postest: 16 |
Pretest: 13 / Postest: 19 |
46 |
70 |
12 |
Pretest: 12 / Postest: 17 |
Pretest: 13 / Postest: 18 |
Pretest: 11 / Postest: 17 |
Pretest: 13 / Postest: 18 |
49 |
70 |
13 |
Pretest: 12 / Postest: 16 |
Pretest: 11 / Postest: 17 |
Pretest: 10 / Postest: 15 |
Pretest: 13 / Postest: 18 |
46 |
66 |
14 |
Pretest: 13 / Postest: 17 |
Pretest: 10 / Postest: 16 |
Pretest: 10 / Postest: 15 |
Pretest: 11 / Postest: 17 |
44 |
65 |
15 |
Pretest: 13 / Postest: 18 |
Pretest: 12 / Postest: 18 |
Pretest: 11 / Postest: 16 |
Pretest: 12 / Postest: 18 |
48 |
70 |
16 |
Pretest: 10 / Postest: 16 |
Pretest: 11 / Postest: 17 |
Pretest: 9 / Postest: 14 |
Pretest: 12 / Postest: 18 |
42 |
65 |
17 |
Pretest: 13 / Postest: 17 |
Pretest: 10 / Postest: 16 |
Pretest: 10 / Postest: 14 |
Pretest: 13 / Postest: 18 |
46 |
65 |
18 |
Pretest: 14 / Postest: 20 |
Pretest: 13 / Postest: 18 |
Pretest: 11 / Postest: 17 |
Pretest: 12 / Postest: 19 |
50 |
74 |
19 |
Pretest: 13 / Postest: 18 |
Pretest: 12 / Postest: 18 |
Pretest: 10 / Postest: 16 |
Pretest: 11 / Postest: 18 |
46 |
70 |
20 |
Pretest: 10 / Postest: 16 |
Pretest: 12 / Postest: 17 |
Pretest: 11 / Postest: 15 |
Pretest: 13 / Postest: 18 |
46 |
66 |
Source: SPSS 30.0. version
The results in Table 1 show a significant improvement in the English vocabulary level of university students after the implementation of a functional training program focused on technical terminology. In the post-test, the total scores increased between +17 and +26 points compared to the pre-test, which is equivalent to percentage increases ranging between 37% and 58% in the different indicators evaluated. This reflects progress in four key indicators: understanding of technical terms, application in context, accuracy in the use of terms, and fluency in terminology. This overall increase suggests that the training program strengthened students' ability to communicate specialized concepts in English, which is essential for their professional development. These results highlight the effectiveness of the program and the importance of incorporating the learning of technical vocabulary in the academic preparation of future professionals.
Table 2. Shapiro Wilk Normality Test
Variable |
Mean |
Standard Deviation |
N |
Shapiro-Wilk Statistician (W) |
p- value |
Normality (α = 0.05) |
Interpretation |
Pretest |
46.5 |
3.1 |
20 |
0.900 |
0.025 |
No |
The variable does not follow a normal distribution |
Postest |
69.0 |
4.0 |
20 |
0.880 |
0.010 |
No |
The variable does not follow a normal distribution |
Source: SPSS 30.0. version
Table 2 presents the results of the Shapiro-Wilk normality test, which evaluated the distribution of the scores in the pretest and posttest of the university students. The W values obtained were 0.900 for the pretest and 0.880 for the posttest, with p-values of 0.025 and 0.010, respectively, indicating that both distributions do not follow statistical normality at the α = 0.05 level of significance. This lack of normality suggests that the data present asymmetries that could influence the interpretation of the results and the selection of the statistical tests to be used in the subsequent analysis. Therefore, due to these results, it was decided to apply the Wilcoxon signed rank test, which is a non-parametric method, to adequately evaluate the differences between the scores, thus guaranteeing the validity of the conclusions about the impact of the training program. training in students' English vocabulary.
Tabla 3. The Wilcoxon signed-rank test
Ranks |
# (Students) |
Rank sum |
Average Rank |
Positive Rank (Postest > Pretest) |
15 |
240.0 |
16.0 |
Negative Rank (Postest < Pretest) |
2 |
5.0 |
2.5 |
Zero Rank (No change) |
3 |
- |
- |
Total |
20 |
|
|
Source: SPSS 30.0. versión
Table 4. Test statistics
Test statistics |
Value |
Wilcoxon ZZ statistics |
-2.943 |
PP value (bilateral test) |
0.003 |
Significance level (αα) |
0.05 |
Source: SPSS 30.0. version
Conclusions
This study shows the effectiveness of the Total Physical Response (TPR) method in teaching vocabulary in English, particularly in the context of functional training in university students from Guayaquil. The results obtained show a notable increase in student performance, with an average increase of 23.25 points in the post-test compared to the pre- test. This progress not only indicates a substantial improvement in the retention and application of the vocabulary learned, but also reflects a positive change in the students' perception of their ability to use the language in practical situations, thus evidencing a direct impact on their self-confidence. linguistics.
Detailed analysis of the results suggests that TPR encourages active and participatory learning, resulting in greater motivation and engagement on the part of students. By integrating physical movement into the learning process, TPR facilitates the connection between vocabulary and its context of use, which enhances not only comprehension but also the effective application of words in everyday situations. This multisensory approach aligns with contemporary pedagogical trends that emphasize the importance of experiential and student-centered learning, contributing to a more dynamic and effective educational environment.
Furthermore, the findings of the study provide empirical evidence that supports the implementation of TPR as a viable pedagogical strategy in language teaching at higher levels. This methodology is distinguished by offering a didactic approach that combines cognitive and physical aspects, which translates into more holistic learning. Educators who implement TPR can see not only improvements in academic performance, but also in active student participation, which ultimately enriches the teaching-learning process.
In conclusion, the application of TPR in teaching English vocabulary not only improves academic performance, but also contributes to the development of essential communication skills in an increasingly interconnected world. The adoption of innovative methodologies such as TPR represents a significant step forward towards improving learning outcomes in university contexts, and its implementation can be considered a crucial step in preparing students to face the challenges of the global labor market. This study, therefore, not only highlights the effectiveness of TPR, but also invites future researchers and educators to explore and expand its use in various areas of language learning, ensuring a comprehensive approach that addresses the linguistic needs of contemporary learners.
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obra está bajo una licencia de Creative Commons
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© Nefi Manuel Galán Cherrez, Félix Jacinto García Córdova, María Teresa
Albán Defilippi y Francisco Reinaldo Villao Villacres.