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Professional Development

Basic Courses for Master's Programs_MAED EdD


Class
Romeo Sumayo
Access code required
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Lessons

Here is the class outline:

1. Introduction

Jun 8

This introduces the students to the requirements for the basic courses in the master's programs.

4 sections
Course Requirements
Grading System
Readiness and Preference Survey
Activity 1

2. Review of the Philosophical, Psychological, and Sociological Foundations in Education

Jun 8

This lesson is only for students enrolled in Philosophical, Psychological, and Sociological Foundations of Education course.

10 sections
Learning Theories
Discussion 1 (Foundations of Education)
Output 1 (Foundations of Education)
Summary of Different Learning Theories
Discussion 2 (Foundations of Education)
Required Coursera Course
Coursera CourseGrade (Foundations of Education)
Five Major Educational Philosophies
Output 2 (Foundations of Education)
Reflecting on Your Philosophy of Education (Foundations of Education)

3. Formulating the Research Problem

Jun 8

The lesson is about the characteristics of good research questions and how to formulate a research problem.

3 sections
Research Problem
Discussion
Output 1

4. A Look into the First Chapter of the Research Proposal

Jun 15

The lesson is about the contents of the first.chapter of the research proposal.

4 sections
Parts of the First Chapter of the Study Proposal and the Required Coursera Course
Output 2 (Methods of Research)
Required Coursera Course
Certificate of Completion of the Coursera Course

5. A Look into the Second Chapter of the Research Proposal

Jun 22

The lesson is about the contents of the second chapter of the research proposal.

3 sections
Parts of the Second Chapter of the Study Proposal
Output 3 (Methods of Research)
Articles Critique

6. A Look into the Third Chapter of the Research Proposal

Jun 29

The lesson is about the research design which includes the following: research methodology, respondents(including the sampling used), data collection tools (instruments used), and data analysis tools.

8 sections
Research Design
Output 4 (Methods of Research)
Sampling
Output 5 (Methods of Research)
Instrumentation
Output 6 (Methods of Research)
Data Analysis Tools
Output 7 (Methods of Research)

7. Statistics in Research

21 sections
Review of Descriptive Statistics
Discussion 1 (Inferential Statistics)
Output 1 (Inferential Statistics)
Review of Descriptive Statistics II
Output 2 (Inferential Statistics)
Introduction to Hypothesis Testing
Output 3 (Inferential Statistics)
Required Coursera Course
Certificate of Completion of the Coursera Course
Comparing Means of Two Independent Groups: t-test
Output 4 (Inferential Statistics)
Comparing Means of Two Dependent Groups: t-test
Output 5 (Inferential Statistics)
Comparing Means of Three or More Groups: Analysis of Variance
Output 6 (Inferential Statistics)
Relating Two Quantitative Variables: Pearson's r
Output 7 (Inferential Statistics)
Relating Two Variables (One Quantitative and One Nominal Dichotomous): Point-biserial Correlation
Output 8 (Inferential Statistics)
Associating Two Variables: Chi-Squared Test
Output 9 (Inferential Statistics)

8. Writing the Concept Note of the Research Proposal

Jul 6

This is the final output for Methods of Research

1 section
Final Output (Methods of Research)