LEARNING DISTANCE MODALITY AMIDST COVID-19: ITS INFLUENCE
TO PROGRAMMING SKILLS OF SENIOR HIGH SCHOOL COMPUTER
PROGRAMMING STUDENTS
CHAPTER 2
METHOD
This chapter presents different methods of the study which includes the
research design, research respondents, research instruments, data gathering
procedures, statistical treatment of data, and ethical consideration.
Research Design
The researchers have decided to make use of a quantitative research
design implementing a descriptive and correlational research approaches in
this study. Quantitative research is a type of research utilizing statistical and
numerical data and bounds with range of methods related with systematic
observation of a social phenomenon. It involves measurements and analyzes
data for relationships by verifying the measurements made (Watson, 2015).
Secondarily, descriptive research approach mainly focuses on accurate
and systematic description of population or phenomenon. Specifically,
descriptive research aims to identify characteristics, frequencies, trends, and
categories of variables in the study (McCombes, 2020). However, descriptive
research does not focus on forming different hypotheses or developing the
theory. It is objective, neutral, and is all about describing how the reality is
(Lans & Van der Voort, 2002).
In addition to the previous approach, correlational research clearly
explores the relationship of variables in research even without the control of
the author. This determines the strength of the relationship between two or
more variables, positive or negative (Bhandari, 2021). Furthermore, Seeram
(2019) have also stated that correlational research is non-experimental
research facilitating only prediction and explanation of the relationship among
the variables.
Lastly, the researchers will utilize these research approaches in the
study. This quantitative design will be fit for making use of the numerical
values that will be gathered during the conduct of the study. The objective and
neutrality of the descriptive approach will ascertain the influence of learning
distance modality and the computer programming skills of students while
correlational approach will be responsible in modifying the relationship
between these variables. Employing these research designs and approaches
will help in examining on how learning distance modality affects the computer
programming skills of the students. More importantly, this study’s highlight is
to determine the relationship of learning distance modality to the computer
programming skills acquired by the senior high school students of Tagum
National Trade School.
Research Respondents
The respondents of this study will include senior high school, grades 11
and 12 computer programming students in one of the schools in the division
of Tagum City, province of Davao del Norte enrolled for the school year 2021-
2022. In this study, a sample size will be determined from the total
respondents of the study. Using the Raosoft sample size calculator at 0.05
margin of error and 95% confidence level, the researchers came along with a
sample size of 120 from 173 total respondents. These 120 respondents will
be randomly selected using the stratified random sampling technique. Out of
173 computer programming students, 38 of them are enrolled in online
modality while the other 135 students are enrolled under modular/printed
modality which is also shown in table 1.
Modality Population Sample Size Percentage
Online 38 26 22%
Modular 135 94 78%
Total 173 120 100%
Table 1. Distribution of respondents
Moreover, shown below is the location of Tagum National Trade
School enclosed with a red border line.
Source: Google Maps (2022)
Figure 2. Local Map of Tagum City focusing Tagum National Trade School
Research Instrument
This study will employ an adapted research instrument and a project-
based research instrument. These instruments will be considered and
analyzed in accordance with the study's objectives.
These two research instruments will be submitted for validation. The
first research instrument has two indicators and is prepared for students’
satisfaction towards learning distance modality. On the contrary, the second
research instrument is a teacher-made project-based performance in order to
assess the computer programming skills of students. These instruments will
be pilot-tested to 30 computer programming students who will not be included
in the study. Afterwards, the five research instruments will then be submitted
and assessed by the panel.
Students’ Satisfaction Towards Learning Distance Modality
Instrument (SSTLDMI). The instrument for students’ satisfaction towards
learning distance modality is adapted from Digital Literacy: A Prerequisite for
Effective Learning in a Blended Learning Environment of Tang and Chaw
(2016). This was tested reliable and has a Cronbach alpha value of .935. On
the other hand, Online Learning in the Face of COVID-19 Pandemic:
Assessment of Students’ Satisfaction at Chitwan Medical College of Nepal of
Sharma et al. (2020) has a Cronbach value of 0.89. This is a 13-item
questionnaire with the following dimensions: learning capabilities (10 items)
which means satisfaction of the students in learning computer programming
despite their modalities. In addition, content satisfaction (3 items) depicts on
what level does students understand on the topics covered. The respondents
will be asked to rate each item on a 5-point Likert scale ranging from 1 for
“strongly disagree” to 5 for “strongly agree”.
For interpretation, rating scale, descriptive equivalent, and
interpretation will be used as seen below.
Rating Scale Descriptive Equivalent Interpretation
This means that the item
4.20 – 5.00 Very High embodied is very much
observed.
This means that the item
3.40 – 4.19 High embodied is much
observed.
This means that the item
2.60 – 3.39 Neutral embodied is fairly
observed.
This means that the item
1.80 – 2.59 Low embodied is less
observed.
This means that the item
1.00 – 1.79 Very Low embodied is least observed.
Teacher Made - Project Based Performance (TM-PBP). This project
based performance will determine on how well does a student perform in
computer programming. These projects are teacher made on each grade
level. Their acquired skills will depend on how they perform in each dimension
including coding skills, problem-solving skills, and algorithmic and creative
thinking skills. Specifically, students’ acquisition of computer programming
skills will be rated by their teachers.
For interpretation, rating scale, descriptive equivalent, and
interpretation will be used as seen below.
Rating Scale Descriptive Equivalent Interpretation
This means that computer
81.00 – 100.00 Very High programming skills very
well acquired.
This means that computer
61.00 – 80.00 High programming skills is well
acquired.
This means that computer
41.00 – 60.00 Neutral programming skills is
acquired.
This means that computer
21.00 – 40.00 Low programming skills is
acquired partially.
This means that computer
0.00 – 20.00 Very Low programming skills is
acquired poorly.
Data Gathering Procedure
The requisite data will be gathered in a well-ordered methodology,
which includes the following.
Asking for permission to conduct the study. In order for the study to
be conducted, researchers must first ask for permission to the principal and
the teachers. The researchers will write a letter of approval which will be
checked by the adviser and the subject teacher and will then be submitted to
the principal. After the approval, the researchers can begin to conduct the
study.
Asking for consent from the respondents. Before anything else, the
researchers must identify first their respondents who were the Grades 11 and
12 computer programming students of Tagum National Trade School. Due to
the pandemic, face to face classes was suspended and conducting surveys
inside the school were not allowed. Thinking of a solution, the researchers
have decided to utilize different media platforms that can enable respondents
to participate in the survey. The survey will be conducted in an online and
digital platform. Application of the ethical considerations will be observed as
the survey processes. Respondents’ privacy will be assured once they agree
to the permissions presented. Submission of their answered questionnaires
along with their signatures will be evident enough that the researchers have
not forced them to participate and that they have participated in the data
gathering process of the study voluntarily.
The process of gathering the data will be done online using forms in
document and pdf formats that will be sent to the respondents. Before the
distribution of the survey questionnaires, researchers will organize a virtual
orientation to all the respondents and orient them about the study’s main
objectives and how can their participation benefit them. Ethical
considerations, especially in obtaining the respondents’ data will also be
considered during the orientation. For those who cannot attend the online
orientation, researchers have thought of another way by contacting them
through their phone numbers and social media accounts.
After the orientation, digital consent and assent forms will be handed
out to the respondents and their parents. These forms will also include
signature of the respondent as well as the parent. When the respondents
have filled out the forms, it will be sent back to researchers. The signed and
filled out forms will serve as a confirmation to the researchers that the
respondent have agreed to the conditions and will participate in the study
voluntarily.
To ensure the respondent’s privacy of information, respondents will
submit their answers in a Google Drive in which only the respondent and the
researchers can access the folder. Through this process, personal information
of the respondents will be kept private. Identities of the respondents will be
hidden and will not be presented in any part of the study. As what the
respondents and the researchers agreed, their identities and information will
be locked in a folder so that only the researchers can access the files.
Finally, to prevent unauthorized access, use or disclosure to the public,
data gathered from the respondents including their identities will be instantly
destroyed three years after the completion of the study.
Retrieval and processing of data. The process of gathering the data
will start as soon as the validation will be done. Survey questionnaires will be
distributed to the respondents through online platforms. Then, all survey
questionnaires will be returned along with their responses. Specified amount
of time will be given to the respondents to answer the questionnaire. After the
allotted time, the researchers will then retrieve the questionnaire from the
respondents.
To end the data gathering process, the researchers will evaluate the
responses of all the respondents through excel forms. After assessing and
processing the data, the researchers can start preparations for the
interpretation and discussion of the results.
Statistical Treatment of Data
The results that will be gathered will be evaluated by the use of the
following statistical tools presented in this section.
Mean. It is referred to as the arithmetic average, and is just one of the
various measures of central tendency to be found. This statistical tool will be
used to measure the level of student’s satisfaction on learning distance
modality, the level of students’ computer programming skills, asses if there
will be a significant difference in the students’ computer programming skills
when analyzed according to learning modalities, and to determine if there is a
significant relationship between learning distance modality and computer
programming skills of students. Specifically, this will be used to answer
research questions 1, 2, 3, and 4.
Standard Deviation. It is calculated as the square root of the variance
and is a statistic that evaluates the dispersion of a dataset in relation to its
mean. Using this statistical method, we will be able to determine how far the
scores were spread out or how close they were to the mean. Using this tool
will answer questions 1, 2, 3, and 4.
Pearson R. Locally called as Pearson correlation coefficient, Pearson's
correlation coefficient, or Pearson's r, the Pearson correlation coefficient or
Pearson's r is defined in statistics as a measure of the strength of the
relationship between two variables and their affiliation with one another. This
statistical tool will be utilized to determine if there is a significant difference on
the students’ computer programming skills when analyzed according to
learning modalities, and if there is a significant relationship between learning
distance modality and computer programming skills of students. This will be
used to answer research questions 3 and 4.
T-test. A t-test is a statistical test that is used to compare the means of
two groups. It is often used in hypothesis testing to determine whether a
process or treatment actually has an effect on the population of interest, or
whether two groups are different from one another. The study will make use of
this tool to determine if there is a significant difference on the students’
computer programming skills when analyzed according to learning modalities:
modular/printed modality and online modality. This study will also use this tool
to answer research questions 3.1 and 3.2.
Regression Analysis. Regression analysis is a powerful statistical
method that allows you to examine the relationship between two or more
variables of interest. This statistical tool will be of use in determining the
relationships between independent variables and the dependent variable. This
tool will be applied to answer research question 4.
Ethical Consideration
The main priority of the study’s investigation will be centered to the
Grade 11 and Grade 12 computer programming students who are in charge in
the code of ethics. They are students in a public secondary senior high school
under the Technical Vocational Livelihood (TVL) strand. To carry out adhering
to moral norms while performing this investigation, researchers of this study
will ensure their well-being and provide them with complete security.
Moreover, Bhandari (2021) specified these principles which are voluntary
participation, informed consent, and confidentiality.
Voluntary Participation means that all research respondents are free
to choose whether or not to engage in the study without being pressured or
coerced. All respondents will be given an option whether to withdraw or leave
the research at any time and are not under any obligation to continue
participating. In addition, Holloway et al. (1995) stated that participation of the
respondents must be made without coercion or enticement and must be
based on information that any reasonable person would desire to know before
agreeing to participate.
To cling on to the principle of voluntary participation, the researchers
will assure that the respondents' participation will be voluntary and that they
will not be coerced to participate in the data gathering of the study. Consent
and assent forms will be sent out in order for them to fill it out. All forms will be
filled in and signed digitally. As indications of their voluntary participation, the
respondents will submit their signed consent and assent forms back to the
researchers. Upon receiving the forms, researchers now have the approval to
include the respondents in the conduct of the study.
During the conduct of the study, respondents will not be held neither be
forced by the researchers if ever they do not want continue in taking part of
the study. It is up for the respondents to decide whether to continue in
participating or not. Whatever the respondent will decide, it will be made sure
that their decision will not be mishandled and will be held privately.
Informed Consent is an unavoidable necessity prior to any research
that involves the use of human people as research respondents (Nijhawan et
al., 2013). All potential respondents receive and comprehend all of the
information they require in order to make a decision on whether or not to take
part in this research. This includes information about the study's advantages
and disadvantages, as well as information about research grants and
educational approval (Bhandari, 2021).
As an application, consent and assent forms will be distributed to the
selected respondents. Inside the forms, respondents will be informed
following the conditions that will be implemented during the study. The forms
will also state that the researchers will not force the respondents to engage
during the study and that the respondents will be responsible for their
decisions. There will also be a space provided at the bottom of these forms.
These spaces are provided for the signature of the parent and the
respondent.
The form will only ask about the information needed by the researchers
and will not ask for more. If ever a respondent has queries about the consent
and assent forms, the respondent can message or send an email directly to
the researchers. When the informed consent has finished in filling out the
forms, it will be submitted to the researchers. These forms will serve as a
proof of their voluntary participation in the study.
Confidentiality refers to personal information shared that generally
cannot be divulged to third parties without the express consent of the person.
In most cases, confidentiality means that only the researcher knows who
participated in the research. In addition, Mayer (2002) proposed that the term
"confidentiality" refers to limitations on how information can be conveyed and
used.
In this study, the researchers will absolutely guarantee that any data or
information that respondents submitted will be kept with perfect anonymity
and confidentiality. Personal details will not be used in any of the research
study's reports, presentations, or publications. In order to prevent these
circumstances, filled up survey questionnaires will be submitted to the
researchers exclusively. Their responses will not be distributed to the public. It
will be secured in a cloud drive in which only the researchers can access the
files contained in it. Name and other personal details will not be revealed nor
be used in any of the research study's reports, presentations, or publication.
The respondent's confidentiality will absolutely be essential and is
considered as the researchers’ main priority. All the questions and
clarifications of the respondents will be catered only by the researchers.
Conversations such as messages and emails will be kept private and
responses will be sent directly to the respondent. It will be made sure, that all
information of all the respondents will be safeguarded.
References
Abarra, C. M. U., Abutal, C. W. A., Bagtas, C. N. D., Gutierrez, A. R.,
Veneracion, J. M., & Villegas, J. R. M. (2020). THE PERCEPTION OF
FIDELIS SENIOR HIGH TECHNICAL-VOCATIONAL AND
LIVELIHOOD INFORMATION AND COMMUNICATION
TECHNOLOGY ON THE IMPORTANCE OF CODING SKILLS FOR
WEB DEVELOPMENT.
Bhandari, P. (2021). Correlational Research Design.
Scribbr.com/methodology/correlational-research/
Holloway, I., & Wheeler, S. (1995). Ethical issues in qualitative nursing
research. Nursing ethics, 2(3), 223-232.
Lans, W., & Van der Voordt, D. J. M. (2002). Descriptive research. In Ways to
study and research urban, architectural and technical design (pp. 53-
60). DUP Science.
Mayer, T. S. (2002). Privacy and confidentiality research and the us census
bureau recommendations based on a review of the literature. Survey
methodology, (1), 1-51.
McCombes, S. (2020). Descriptive Research Design : Definition, Methods and
Examples. scribbr.com/methodology/descriptive-research/
Nijhawan, L. P., Janodia, M. D., Muddukrishna, B. S., Bhat, K. M., Bairy, K. L.,
Udupa, N., & Musmade, P. B. (2013). Informed consent: Issues and
challenges. Journal of advanced pharmaceutical technology &
research, 4(3), 134.
Seeram, E. (2019). An overview of correlational research. Radiologic
technology, 91(2), 176-179.
Sharma, K., Deo, G., Timalsina, S., Joshi, A., Shrestha, N., & Neupane, H. C.
(2020). Online learning in the face of COVID-19 pandemic:
Assessment of students’ satisfaction at Chitwan medical college of
Nepal. Kathmandu University Medical Journal, 18(2), 40-47.
Tang, C. M., & Chaw, L. Y. (2016). Digital Literacy: A Prerequisite for Effective
Learning in a Blended Learning Environment?. Electronic Journal of E-
learning, 14(1), 54-65.
Watson, R. (2015). Quantitative research. Nursing Standard (2014+), 29(31),
44.
Yağcı, M. (2019). A valid and reliable tool for examining computational
thinking skills. Education and Information Technologies, 24(1), 929-
951.