The study investigates some of the reasons that reduce the interests of young learners in education. The reduced curiosity in learning progressively affects the performance of the pupils from the early childhood education up to the tertiary level. Learners that lose interest in the education perform poorly, involved in deviant behaviors, and are likely to be expelled from school consistently. The major contributory factors to the reduced interest include increased pressure from the parents, disengaged and demotivating teaching methods, as well as lack of clear value for education. From the perspective above, other than the learner’s attitude, teachers and the parents probably contribute to pupil’s abridged interest in learning. The researcher determines the factors that contribute to reduced interest among the learners and the measures that involved stakeholders should undertake to enhance the willingness of the learners in education.
Although the research focuses on the intervention measures that should be undertaken from early childhood to high school level, the study will mainly target the high school learners. The early childhood learners are a good target, but the research will be unable to attain its objectives due to the detriments linked with early childhood pupils. First, the cognitive capability of early childhood students is low. It is unlikely to fit in either experimental or non-experimental design. Second, it is likely that the scholar will be unable to control them during experimental design. As well, they have no synergy to respond to the questionnaire. Second, the researcher is unable to manage the behaviors of the parents and the teachers if they adopt an experimental design, which is most probable with early childhood learners. Third, early childhood pupils have not been adequately exposed to demotivators from the teachers and the parents. The learners have also not fully appreciated or understood the value of education in their life. Therefore, high school students are the most viable targets for current research. The high school students have already appreciated the value of education. They can also recount some of the challenges they experienced before recognizing the value of education. They can remember their experiences in early childhood education and link them to their current experiences in education. As well, the learners can offer viable suggestions on measures that schools should adopt in increasing the interests of the students in education. In regard to the setting, the scholar will study the apprentices in the normal school environment. It is likely that in the standard school setting, some learners are motivated while others are not. The scholar will probably identify the factors that contribute to the demotivation of the students in education.
The current study will adopt a quantitative research that is oriented towards the collection of numerical data that relates to the research problem. In the current inquiry, the researcher will determine the number of students whose demotivation in education is contributed by educational, parental, and personal factors. Besides, the researcher will indicate the motivating factors that most of the students highlighted. The research approach aligns with Sileyew (2020) provisions that a research that is oriented towards the collection of numerical data should adopt quantitative research. Specifically, the investigator will employ the causal-comparative design. The research design intends to establish causal relationships among the factors involved (Westreich, 2020). In this case, the scholar will determine the contributory factors to the lack of learners’ interest in education. The scholar will adopt causal-comparative research because it aligns well with the research objectives of the current study.
As indicated, the scholar will target high school learners. They will select four representative schools from which they will identify participants. Afterward, the scholar will employ probabilistic sampling methods in choosing the learners that will be involved in the current study. The value of probabilistic methods is that it is highly probable in selecting a representative sample (Chen & Chen, 2020). As well, the participants have equal chances of being included in the trial. Other benefits of incorporating probabilistic sampling in the sample include increased reliability of the research and the reduction of the sampling error. While there are a number of probabilistic sampling methods, the scholar will employ a systematic sampling method in the current study. In approach, the scholar lists potential participants and thereafter, uses an integer that is significantly smaller than the population as the gap between the participants that will be included in the sample. A smaller integer increases the size of the sample, while a bigger integer reduces its size (Chen & Chen, 2020). Generally, although the method might not be effective as the application of the probabilistic software, it meets all the requirements of the probabilistic sampling method.
The researcher will collect data through the application of manual questionnaires. The learners will be provided with the questionnaires that will measure their determination towards learning and the measures that should be applied in making improvements. The survey fits the requirements of the current inquiry due to its synergy to collect the required data and its efficiency. First, questionnaires collect a huge amount of data from a large number of participants (Saris, 2014). Second, surveys are cheap, less costly, and time-saving. As well, in the current perspective, they give learners independence and the authority to comment on their teacher as well as parents without the fear that they will be reprimanded. The research will adhere to the reliability and validity requirements of the investigation by ascertaining that adequate and objective questions are included in the questionnaire as well as appropriate participants encompassed in the sample. As well, the scholar will use comprehendible and straightforward questions as well as ascertain that the participants are familiar with the requirements of the questionnaire (Ruel, Wagner, & Gillespie, 2016). Generally, the investigator will develop the survey according to all the standards that should be adhered to in the study.
As already indicated, the scholar will employ questionnaires in the collection of the data. Before the collection of actual data, some of the major procedures will include the following.
The current study will employ both descriptive and inferential statistics in the analysis of the data. The descriptive statistics employed in the study include mean, median, and standard deviation. Besides, the scholar will make an effort to establish more links in the data by drawing bar graphs and pie charts. As well, the representation of the data in tabular forms makes the data more meaningful. The above illustration of the data through descriptive statistics makes the information more useful in line with the goals of the current study. Inferences statics will encompass the testing of the hypothesis. The measures facilitate the development of viable conclusions from the whole population.
The current study is determined to unravel the factors that reduce the interests of the learners towards education. The study will adopt a quantitative research approach and use questionnaires in the collection of the data. Majorly, the scholar will target four high schools where the sample will be selected. Some of the limitations of the research include the probability of a non-representative sample and the possibility that participants will not recount their early childhood life. Fundamentally, the study will facilitate the improvement of the student’s welfare.
Chen, X., & Chen, D.-G. (2020). Statistical methods for global health and epidemiology: Principles, methods and applications. Cham: Springer.
Ruel, E. E., Wagner, W. E., & Gillespie, B. J. (2016). The practice of survey research: Theory and applications. Los Angeles: SAGE.
Saris, W. E. (2014). Design. Hoboken: Wiley.
Sileyew, K. J. (2020). Research design and methodology. Cyberspace. doi:10.5772/intechopen.85731
Westreich, D. (2020). Epidemiology by design: A causal approach to the health sciences. New York, NY : Oxford University Press