INTRODUCTION
The will to study is a psychological construct that has become an area of research interest, given the diversity of distracting stimuli that can interfere in the academic life of a university student, as are the current technological means, which are within the reach of all
(1,2).
The will is a human capacity closely linked to conscience and motivation
(3). It is a cognitiveaffective state of disposition, related to interests, desires, motivations, decision-making capacity, and autonomy in the regulation of a person's performance to achieve something
(4,5).
Every human capacity is a state of readiness or potential to successfully perform an activity
(6). Will, as a psychological capacity, is linked to desire, interest, and intrinsic motivation and strength of self, which allows a person to be persistent and tenacious in achieving a goal or meta
(7-9). It is the ability to decide freely, and to make a conscious choice about what the person wants, wants to be and do
(10).
The will is one of the basic dimensions of human behavior: it corresponds to the volitional dimension, which involves human consciousness, rationality, thought, and affective traits linked to character and motivation
(3,11).
These are indicators of will as a human capacity: the desire or interest to want to do something that attracts you, the positive attitude to want to achieve something, the strength of the self or strength of character, clear and defined decision-making, intrinsic and/or extrinsic motivation and tenacity or perseverance
(12).
In a study on the psychological construct of will
(13) in which a one-dimensional scale of will to work was developed, using a 21-item questionnaire applied to 1141 second-year psychology students at the University of Buenos Aires, it was found that the will to work was characterized as the attitude by which a person focuses on his/her duties, performing it with responsibility, precision, self-motivation and without delay, even though such obligations may be unpleasant; Likewise, in the research entitled “Delimitación del Constructo Voluntad de Trabajo”, aimed at the construction of an ad hoc scale. They considered that "the will to work was characterized as the attitude by which an individual turns to his duties with responsibility, efficiency, self-motivation and without delay".
This study aims to make a descriptive diagnosis of willingness to study in students of a private university in Lima considering professional career and gender.
METHODS
Study design
Descriptive research with a descriptive-comparative design, for which a scale to assess the willingness to study and academic work has been applied to samples of students in the fourth, fifth and sixth academic semesters, from different professional careers, and of both genders.
Population and sample
The target population was made up of all the students of the Ricardo Palma University in Lima, which in the year 2019-I comprised a population of 12.160 students.
The real or accessible population, see table 1, was made up of 2412 students from the IV, V and VI academic semesters of the professional careers of: architecture, civil engineering, administration and management, translation, human medicine, psychology, biology, law.
Procedures
The scale of will for study.
It evaluates 6 indicators (the desire or interest and attitude to study, the strength of the self or firm character, clear and defined decision-making, intrinsic and/or extrinsic motivation, perseverance and tenacity and no postponement of decided actions), through 24 items or items, whose score is 1, 2 and 3 points according to the following: 1= never; 2 = sometimes; And 3 = always; The maximum score to expect was 72 and the minimum was 24.
The application time, with the informed consent of the student, was 15 minutes maximum.
Statistical analysis
For data processing the following statistics were chosen: to obtain validity: the KMO and Bartlett test; to obtain reliability: Cronbach's alpha; for the normality curve: the Kolmogorov-Smirnov test; for descriptive statistics of students by professional career: arithmetic mean, median, standard deviation, variance, range; for inferential statistics comparing gender, professional career and academic semesters: student's T test and analysis of variance.
RESULTS
From the total of participants in the study, we found that the average was 21.71 years, with a predominance of females with 53.81% of the sample. The other characteristics are shown in
table 2.
When we obtained the results of the will scale scores for the study by sex, we found that in men the mean was 56.02 and in women the mean was 58.45. The comparison of scores according to the other factors evaluated is shown in
table 3.
The results of the Bonferroni post hoc test show that students aged 26 and over scored higher than those aged 20 and 25 (
Table 4).
The score on the willingness scale for study according to professional career and academic semester is shown in
table 5.
Table 1. Real or accessible population data, Ricardo Palma University
Careers |
Semester |
Total |
IV |
V |
VI |
Architecture |
166 |
218 |
179 |
563 |
Civil engineering |
230 |
182 |
163 |
575 |
Administration and management |
70 |
85 |
40 |
195 |
Translation and interpretation |
72 |
66 |
46 |
184 |
Human medicine |
174 |
153 |
205 |
532 |
Psychology |
66 |
66 |
47 |
179 |
Biology |
26 |
36 |
22 |
84 |
Law |
34 |
45 |
21 |
100 |
Total |
2412 |
Table 2. General characteristics of students evaluated by sex, career and semester.
|
Mean |
Standard deviation |
21,71 |
3,99 |
Age |
Frequency |
Percentage |
Sex |
Male
Female
|
352
410
|
46,19%
53,81%
|
Career |
Administration
Architecture
Biology
Law
Engineering
Human medicine
Psychology
Translation
|
120
125
60
75
65
150
117
50
|
15,75%
16,40%
7,87%
9,84%
8,53%
19,69%
15,35%
6,56%
|
Semester |
Cycle IV
Cycle V
Cycle VI
|
277
292
193
|
36,35%
38,32%
25,33%
|
Table 3. Table showing the mean and standard deviation of the will scale score for the study by sex, semester and age.
|
Score |
Mean |
p |
Sex |
Male
Female
|
56,02 +/- 8,19
58,45 +/- 7,47
|
<0,001* |
Semester |
IV
V
VI
|
56,41 +/- 8,32
57,80 +/- 7,87
57,90 +/- 7,22
|
0,058† |
Age (years) |
From 17 to 19
From 20 to 21
From 22 to 25
From 26 and more
|
57,78 ± 7,93
56,68 ± 8,06
56,65 ± 7,47
59,25 ± 8,04
|
0,023† |
* Student's T test / † ANOVA.
Table 4. Bonferroni post hoc test of the ANOVA of the will scale according to age.
|
17 to 19 years |
20 to 21 years |
22 to 25 years |
20 to 21 years |
0,826 |
|
|
22 to 25 years |
0,802 |
>0,999 |
|
26 years and more |
0,736 |
0,045 |
0,045 |
Table 5. Table showing the mean and standard deviation of the score obtained for each race according to the cycle.
Careers |
Cycle IV |
Cycle V |
Cycle VI |
Consolidation of the Cycles |
Mean |
p* |
Mean |
p* |
Mean |
p* |
Mean |
p* |
Administration |
56,48 ± 7,91 |
|
58,78 ± 7,76 |
|
58,16 ± 7,72 |
|
57,66 ± 7,81 |
|
Biology |
56,53 ± 8,90 |
|
56,35 ± 9,06 |
|
56,13 ± 7,15 |
|
56,38 ± 8,37 |
|
Architecture |
56,48 ± 7,91 |
|
59,06 ± 8,06 |
|
58,08 ± 7,34 |
|
57,84 ± 7,89 |
|
Engineering |
52,13 ± 9,61 |
0,251 |
53,94 ± 6,54 |
0,044 |
58 ± 7,27 |
0,858 |
53,92 ± 7,98 |
0,0223 |
Translation and Interpretation |
57,56 ± 9,22 |
|
60,25 ± 6,84 |
|
58,56 ± 7,26 |
|
58,74 ± 7,83 |
|
Human Medicine |
57,68 ± 6,73 |
|
56,65 ± 8,29 |
|
58,22 ± 7,71 |
|
57,50 ± 7,59 |
|
Psycology |
55,33 ± 8,60 |
|
59 ± 7,99 |
|
58,67 ± 6,84 |
|
58,02 ± 7,94 |
|
Law |
57,96 ± 9,36 |
|
57,52 ± 7,02 |
|
55,46 ± 5,96 |
|
57,27 ± 7,69 |
|
* ANOVA.
The results of the Bonferroni post hoc test of the ANOVA score of the will scale for the study according to professional career, shows that all differences found between groups correspond to the score of the civil engineering career compared to the other careers. Which corresponds to 0.057; 0.032; > 0.999; 0.341; 0.061; 0.022 and 0.032; for the careers of administration, architecture, biology, law, human medicine, psychology and translation and interpretation respectively. The remaining comparisons between groups showed no statistically significant differences (p> 0.999).
DISCUSSION
Regarding the results considering the variables gender, age, and study careers it has been found that, in relation to gender, it has been evidenced through the statistical tests conducted that female students obtain higher levels of willingness to study than men. These findings show that women are better able to handle most aspects of academic practice. As evidenced by a study of 186 nursing students that despite not finding significant differences between the sexes with respect to the variables studied highlights the ability of women in their management of external influences during their study
(15). However, Azañon et al. evaluated 979 Spanish university students and found that males had greater ability to control negative situations, feelings and thoughts
(16).
Regarding age, the results obtained have allowed us to find greater differences between younger and older students. Along these lines, Acevedo et al found in a group of Colombian students that the average age for dropping out of university was 22.1 years
(17). In addition, engineering students from a university in Bogotá, Colombia demonstrated that they have less ability to handle stress or pressure situations when they are younger, which may lead some to abandon their careers
(18).
In relation to the academic semesters, the results have also not demonstrated any significant differences on willingness to study among students of IV, V and VI academic semesters, while according to the professional career of studies were found that students of civil engineering in IV semester have less willingness to study than the rest of the students of different professional careers. This problem among engineering students has always been a difficulty due to the complexity of the subjects taught in relation to other careers
(19). However, the use of academic and psychological strategies may represent a choice among these students. This statement was confirmed by Rodriguez Pascual and Martinez Rosillo among engineering students through a group couching course that effectively impacts the academic development of these students as well as their psychological development
(20).
On the other hand, students of human medicine and translation and interpretation are more willing to study. In the V semester, students of civil engineering show less willingness to study in changes. Those of architecture, psychology and translation and interpretation show greater willingness to study. In the VI academic semester, there were no significant differences between students of different professional careers.
CONCLUSION
We conclude that female students have higher levels of willingness to study than men in the university student population of Lima. Also, civil engineering students had lower scores on the willingness scale for study compared to other majors.
Authorship contributions: The authors participated in the genesis of the idea, project design, data collection and interpretation, analysis of results and preparation of the manuscript of the present research work.
Financing: Self-financed.
Conflict of interest: The authors declare that they have no conflict of interest in the publication of this article.
Received: February 19, 2020
Approved: March 30, 2020
Correspondence: Hector Hugo Sanchez Carlessi
Address: Vicerrectorado de Investigación, Universidad Ricardo Palma, Avenida Benavides 5440, Santiago de Surco, Lima-Perú.
Telephone: +51 999 732 421
E-mail: hecsancar31@gmail.com
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