INTRODUCING RESEARCH IN EDUCATIONAL ADMINISTRATION
The Ph.D.Students in the field of Educational Administration at St Theresa International College are going to introduce the research Article in the area of Educational Administration. Please see what I have shared.
Chittwadee Thongtua,Wirathep Pathumcharoenwatthana, Noppamonton Sibmuenpiam
Chulalongkorn University
Journal of Education Studies Volume 42 Issue 0 Special Issue (1-1-2014)
Community participation in education is recognized as a valuable approach to enhance educational outcomes and foster a sense of engagement within communities. Lifelong education refers to learning opportunities that extend beyond formal schooling and encompass various stages of life. It is important to understand the conditions, factors, and models that facilitate community participation in lifelong education management to create an inclusive and effective educational environment.
The research have been motivated by the need to explore and identify the factors and conditions that influence community participation, as well as to develop a model that can guide educational institutions in promoting community involvement.
1.Research Objective
The research aims to accomplish three main objectives.
1. To study the contexts and factors of community participation education management in educational institutions.
2. To compare contexts and factors of community participation education in educational institutions.
3. To develop a model of community participation in lifelong community education in educational institutions.
◦Firstly, it intends to examine the conditions and factors associated with community participation in the management of lifelong education within local educational institutions.
◦Secondly, it seeks to compare the factors influencing community participation in lifelong education across different educational institutions.
◦Lastly, the research aims to develop a model of community participation for lifelong education within educational institutions using a participatory action research approach.
2. Research Questions and Type of research
Research question : "What are the conditions, factors, and model of community participation for lifelong education management in educational institutions?"
Type of research : A mixed methods research design involves combining both quantitative and qualitative data collection.
The target population for the study was selected through purposive sampling, consisting of 1,846 individuals from reputable schools in sub-districts that were part of a project initiated by the OBEC (Office of the Basic Education Commission) in 2010.
◦Additionally, 25 individuals from one of these schools were chosen to participate in the participatory action research (PAR) process.
◦The research employed various data collection instruments, including questionnaires, in-depth interviews, and focus group discussions.
◦Computer programs and content analysis were used to analyze the collected data.
3. The research methodology
A mixed methods research design involves combining both quantitative and qualitative data collection.
The study used a research instrument that included 1-5 rating scale questionnaires with an open-ended format for collecting information on community participation in lifelong education management. The questionnaires contained four parts: obtaining general information about the respondents, examining the factors related to community participation in lifelong education management, examining the contexts related to community participation in lifelong education management, and examining the relationship between community participation and lifelong education management.
The research instrument was developed in two phases.
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the instrument was revised and examined by the supervisor and experts for content validity, completion, and inclusiveness.
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A pilot study was conducted with 30 pilot schools to investigate comprehensive questions and answers.
Data collection was conducted by administering questionnaires at a high standard school in a sub-district containing one of the 182 project schools to gain information concerning community contexts and factors related to community participation in lifelong education management in educational institutions. The subjects were school administrators, subject head teachers, and parental representatives.
The data collected from the questionnaires were analyzed using a computer program. For closed-ended questions, qualitative data was analyzed using content analysis, conceptualization, and induction analysis so that the data could be sorted into categories and conclusions drawn.
Overall, the data collection process and instruments used in the study appear to be well-designed and appropriate for the research question and objectives. The use of a research instrument that included both closed-ended and open-ended questions allowed for the collection of both quantitative and qualitative data, which is important for gaining a comprehensive understanding of community participation in lifelong education management. The pilot study also helped to ensure the reliability and validity of the research instrument before it was used in the main study.
4. The strength and weakness of the research
Strengths:
1. Comprehensive approach: The research employs a comprehensive approach by considering various aspects of community participation in lifelong education management. It examines conditions, factors, and develops a model, providing a holistic understanding of the topic.
2. Participatory Action Research (PAR): The use of PAR methodology is a strength as it actively involves stakeholders, such as educators and community members, in the research process. This participatory approach can enhance the relevance and applicability of the research findings.
3. Mixed methods approach: The research utilizes a mixed methods approach, combining quantitative and qualitative data collection and analysis methods. This approach allows for a deeper understanding of the research topic by capturing both numerical data and rich contextual information.
Weaknesses:
1. Limited Context: The research focuses on a specific context and sample, which may limit the generalize of the findings. The findings may be applicable primarily to the studied educational institutions and may not be representative of other settings.
2. Lack of external validation: It does not mention external validation or verification of the research findings. External validation through independent review of the study's results could enhance the reliability and credibility of the findings.
3. Potential bias in sampling: The use of purposive sampling may introduce bias in the selection of participants. It is essential to acknowledge and address any potential biases to ensure the research findings accurately reflect the perspectives of the broader community.
5.What we have learnt from this research?
From findings..
The developed model of community participation for lifelong education within educational institutions consisted of four components:
a)Basic conditions for community participation, which encompassed educational organizers, target groups, knowledge provision, learning activity methodology, learning materials, educational objectives, community learning resources, and the benefits received by the community from their participation.
b)Processes involved in community participation, including engagement in studying community-based information, brainstorming, planning, management, receiving benefits, and evaluating education management.
c)Factors influencing the participation of educational institutions and the local community.
d) Management of lifelong education within the educational institution.
Overall, this research highlights
◦The significance of community participation in lifelong education management,
◦Identifies factors that influence participation, and
◦Provides a model to guide institutions in fostering community engagement.
It emphasizes the value of participatory research approaches in addressing complex educational challenges and promoting inclusive decision-making processes.
Kenneth Leithwood University of Toronto kenneth.leithwood@utoronto.ca Jingping Sun University of Alabama jsun22@ua.edu Randall Schumacker University of Alabama rschumacker@ua.edu Paper to be presented at the annual conference of the American Education and Research Association, New York, April 2018
This paper is a quantitative research study that examines the indirect contributions of school leadership to student learning. The study uses a partial replication approach to generalize the results from Ontario to Texas schools. The authors propose a Four Paths Model that identifies four key areas of school leadership that indirectly influence student learning: Rational Path, Family Path, Developmental Path, and Teacher Path. The study finds that the Rational Path and Family Path have the strongest indirect effects on student learning, while the Teacher Path has the weakest. The study also provides insights into the specific leadership practices that contribute to student learning in each of the four paths. The authors conclude that school leaders can have a significant impact on student learning through their indirect contributions, and that future research should aim to include data from a larger sample of schools.
Type of Research
This study is quantitative research as it involves statistical analysis of data collected from surveys and standardized tests
Variables in the Research
The research identifies 12 variables that are grouped into four paths in the Four Paths Model. These variables are:
1. Rational Path: Academic Press (AP), Developmental Curriculum (DC), and Use of Instructional Time (UIT)
2. Family Path: Parental Involvement (PI), Home Environment (HE), and Student Mobility (SM)
3. Developmental Path: Student Self-Concept (SSC), Teacher Expectations (TE), and Teacher-Student Relationships (TSR)
4. Teacher Path: Teacher Professionalism (TP), Teacher Collaboration (TC), and Teacher Efficacy (TEF)
These variables are used to measure the indirect effects of school leadership on student learning through the Four Paths Model
Sampling Design
The study used a smaller survey sample size of 81 schools, and the unit of analysis for the analyses was the school. The sample of teachers providing data for the study was quite large (1779). The authors suggest that future research on the Four Paths model should aim to include data from at least 100 schools
Measurement Design
The paper uses a quantitative research design to measure the indirect effects of school leadership on student learning through the Four Paths Model. The study uses a partial replication approach to generalize the results from Ontario to Texas schools. The authors collected data from surveys completed by teachers and principals in 81 schools in Texas. The study uses multiple regression analysis to test the relationships between the Four Paths variables and student achievement, while controlling for student socio-economic status (SES). The study also uses reliability analysis to test the internal consistency of the scales used to measure the Four Paths variables.
Statistical Design
The study uses a mixed-methods research design that combines quantitative and qualitative data. The quantitative data were collected through surveys completed by teachers and principals in 81 schools in Texas. The study uses multiple regression analysis to test the relationships between the Four Paths variables and student achievement, while controlling for student socio-economic status (SES). The study also uses reliability analysis to test the internal consistency of the scales used to measure the Four Paths variables. The qualitative data were collected through interviews with principals and teachers in a subset of the schools.
Internal and External Validity of the Research
The internal validity of the research refers to the extent to which the study's findings are accurate and can be attributed to the variables being studied. The study uses a mixed-methods research design that combines quantitative and qualitative data to test the relationships between school leadership and student learning. The study uses multiple regression analysis to test the relationships between the Four Paths variables and student achievement, while controlling for student socio-economic status (SES). The study also uses reliability analysis to test the internal consistency of the scales used to measure the Four Paths variables. The study's internal validity is strengthened by the use of these statistical tests and the careful selection of variables to be studied
The external validity of the research refers to the extent to which the study's findings can be generalized to other populations and settings. The study uses a partial replication approach to generalize the results from Ontario to Texas schools. The authors collected data from surveys completed by teachers and principals in 81 schools in Texas. While the sample size is relatively small, the study's external validity is strengthened by the use of a mixed-methods research design that combines quantitative and qualitative data and the careful selection of variables to be studied.
Limitation
The study has several limitations that should be considered when interpreting the findings. First, the study uses self-reported data from teachers and principals, which may be subject to social desirability bias. Second, the study's sample size is relatively small, which may limit the generalizability of the findings to other populations and settings. Third, the study focuses on the Four Paths model of school leadership, which may limit the generalizability of the findings to other models of school leadership. Finally, the study's cross-sectional design does not allow for causal inferences to be made about the relationships between school leadership and student learning.
Future research can address the limitations of this study by using larger sample sizes and more diverse populations to increase the generalizability of the findings. Researchers can also use more objective measures of school leadership and student learning to reduce the potential for bias in the data. Longitudinal designs can also be used to establish causal relationships between school leadership and student learning. Finally, future research can explore the relationships between school leadership and other outcomes, such as teacher retention and job satisfaction, to provide a more comprehensive understanding of the impact of school leadership on schools.