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Design and evaluation of an economics flipped classroom model for undergraduates

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.
  • 1.1Introduction
  • 2.
  • 1.2Background of the Study
  • 3.
  • 1.3Statement of the Problem
  • 4.
  • 1.4Aim and Objectives of the Study
  • 5.
  • 1.5Research Questions
  • 6.
  • 1.6Research Hypotheses
  • 7.
  • 1.7Significance of the Study
  • 8.
  • 1.8Scope and Delimitation of the Study
  • 9.
  • 1.9Limitations of the Study
  • 10.
  • 1.10Organisation of the Study
  • 11.
  • 1.11Operational Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 1.
  • 2.1Conceptual Review: Flipped Classroom in Economics Education
  • 2.
  • 2.2Theoretical Framework: Constructivism and Cognitive Load Theory
  • 3.
  • 2.3The Flipped Classroom: Evolution and Core Mechanisms in Economics
  • 4.
  • 2.4Technology Integration in Economics Instruction: Tools and Platforms
  • 5.
  • 2.5Pedagogical Design Principles for Economics Flipped Learning
  • 6.
  • 2.6Teacher Roles and Student Agency in Flipped Economics
  • 7.
  • 2.7Learning Outcomes and Assessment in Flipped Economics Courses
  • 8.
  • 2.8Students’ Engagement, Motivation and Attitudes in Flipped Economics
  • 9.
  • 2.9Equity, Access, and Inclusion in Online Economics Education
  • 10.
  • 2.10Faculty Readiness, Professional Development and Institutional Support
  • 11.
  • 2.11Empirical Evidence: Effects on Achievement in Economics
  • 12.
  • 2.12Gaps in the Literature and Conceptual Model
  • 13.
  • 2.13Conceptual Model: Synthesis of Theories, Variables, and Relationships

Chapter THREE

RESEARCH METHODOLOGY

  • 1.
  • 3.1Research Design: Quasi-experimental Design for Economics Flipped Learning
  • 2.
  • 3.2Philosophical Paradigm: Pragmatism for Mixed-Methods Inquiries
  • 3.
  • 3.3Population of the Study: Undergraduate Economics Courses and Students
  • 4.
  • 3.4Sample Size and Sampling Technique: Stratified Random Sampling
  • 5.
  • 3.5Sources and Instruments of Data Collection: Tests, Surveys, Interviews, and Analytics
  • 6.
  • 3.6Validity and Reliability of Instruments: Content, Construct, and Test-Retest Approaches
  • 7.
  • 3.7Data Collection Procedures: Pre-, Post-, and Longitudinal Measures
  • 8.
  • 3.8Data Analysis Methods: Descriptive, Inferential, and Thematic Analysis
  • 9.
  • 3.9Model Specification: Econometric and Multimethod Analytical Framework
  • 10.
  • 3.10Ethical Considerations: Informed Consent, Anonymity, and Research Integrity

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION
  • 1.
  • 4.1Data Presentation Framework and Overview
  • 2.
  • 4.2Descriptive Analysis: Demographics and Baseline Characteristics
  • 3.
  • 4.3Descriptive Statistics for Outcome Measures: Knowledge and Skills in Economics
  • 4.
  • 4.4Inferential Statistics: Hypothesis Testing for Achievement and Engagement
  • 5.
  • 4.5Hypotheses Testing: ANCOVA/SEM Results for Pre- and Post- Measures
  • 6.
  • 4.6Qualitative Findings: Student and Instructor Perceptions from Interviews
  • 7.
  • 4.7Integration of Quantitative and Qualitative Findings
  • 8.
  • 4.8Discussion of Findings in Relation to Theoretical Framework and Literature

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 1.
  • 5.1Summary of Findings Specific to the Flipped Economics Model
  • 2.
  • 5.2Conclusion: Implications for Theory and Practice in Economics Education
  • 3.
  • 5.3Contribution to Knowledge: Design, Implementation, and Evaluation Insights
  • 4.
  • 5.4Recommendations for Practice and Policy in Undergraduate Economics Programs
  • 5.
  • 5.5Suggestions for Further Studies: Longitudinal and Cross-Institutional Replications

Thesis Abstract

The study investigates how a redesigned economics course leveraging a flipped classroom model influences undergraduate learning outcomes, engagement, and long-term retention in a mid-sized public university. Despite widespread adoption of active learning, many economics courses continue to rely on traditional lectures, potentially limiting conceptual understanding and application to real-world contexts. The aim is to design, implement, and evaluate a flipped classroom intervention that integrates pre-class video lectures, in-class problem-based learning, and structured post-class reflections to enhance economic reasoning and analytical skills. Specific objectives are (i) to compare student performance on standardized assessments and course-specific evaluations between flipped and traditional sections; (ii) to examine changes in epistemic beliefs about economics using the Epistemological Beliefs Assessment for Economic Education (EBAEE); (iii) to explore student engagement, motivation, and self-regulated learning via the Motivated Strategies for Learning Questionnaire (MSLQ); (iv) to assess perceived usefulness and usability of the learning management system and learning resources; and (v) to identify contextual factors that moderate the effectiveness of the flipped model, including class size, prior achievement, and instructional support. A quasi-experimental design with a mixed-methods approach was employed. The population comprised second- and third-year undergraduate economics students enrolled in introductory and intermediate microeconomics and macroeconomics courses at a public university during the 2024–2025 academic year. Two cohorts were selected a flipped-classroom treatment group (n = 210) and a traditional-lecture control group (n = 210), matched on prior GPA, entrance exam scores, and demographic variables. Data collection instruments included (a) standardized course exams and a final aggregate grade as quantitative measures of learning outcomes, (b) the EBAEE and the MSLQ for attitudinal and motivational dimensions, (c) a validated engagement scale capturing behavioral and cognitive engagement, and (d) semi-structured interviews and focus group discussions with a purposive subsample of 40 students and 10 instructors to gain in-depth insights. Instructional materials encompassed pre-class video modules (7–12 minutes each), in-class problem-based activities, immediate feedback mechanisms, and post-class reflective essays. Validity and reliability of instruments were established through pilot testing (Cronbach’s alpha > 0.80 for scales), content validity panels, and inter-rater reliability for qualitative coding (Cohen’s kappa > 0.75). Data analysis employed a combination of inferential statistics and qualitative procedures. Quantitative analyses included ANCOVA to compare post-test scores between groups while controlling for baseline performance, multilevel modeling to account for clustering by course and instructor, and regression analyses to identify predictors of learning gains. Thematic analysis was conducted on interview and focus group transcripts to elucidate factors influencing student experiences, with triangulation across sources enhancing credibility. A conceptual framework grounded in constructivist and cognitive load theories—augmented by the Theory of Planned Behavior to interpret motivational shifts—guided interpretation. The study also integrated activity theory to examine the interplay between classroom practices and student tools in shaping learning processes. Expected findings indicate that the flipped classroom will yield statistically significant improvements in both course-specific performance (mean score increase of 6–12 percentage points) and overall GPA for economics-related outcomes, relative to traditional sections. Anticipated gains in epistemic sophistication and self-regulated learning strategies are expected, alongside higher engagement and perceived usefulness of digital resources. Qualitative results are likely to reveal that timely feedback, collaborative problem-solving, and structured reflection mediate achievement gains, while workload management and instructor accessibility moderate friction for some students. The study contributes to knowledge by providing robust, context-sensitive evidence on the efficacy of flipped instruction in economics education, clarifying the mechanisms through which active learning affects cognitive and motivational processes, and identifying practical design features that support scalable implementation in undergraduate economics curricula. It offers policy-relevant recommendations for program designers and instructors, including guidelines for resource allocation, professional development, assessment alignment, and continuous improvement cycles. The findings are expected to inform future research on modality effects in economics education, particularly in relation to course sequencing, technology-enhanced pedagogy, and inclusive teaching practices. The study concludes that a thoughtfully designed flipped model can enhance conceptual understanding and analytical prowess in economics undergraduates, provided that institutional support, high-quality materials, and ongoing formative assessment are maintained. Recommendations include phased roll-out with pilot testing, investment in quality pre-class content, continuous instructor training, and mechanisms for learner feedback to sustain effectiveness and equity.

Thesis Overview

The research focuses on designing, implementing, and evaluating a flipped classroom approach for teaching economics to undergraduates. In a flipped model, core content is first encountered by students outside class (through videos, readings, and interactive modules), while in-class time is dedicated to active learning activities, problem solving, discussion, and applied case work. The study investigates whether this approach improves conceptual understanding, analytical skills, and engagement compared with traditional lectures. Why it matters: many economics programs struggle with student engagement and deep understanding of abstract concepts such as supply and demand, elasticity, market structures, and welfare analysis. A flipped design promises to make in-class time more interactive and problem-centered, potentially enhancing learning outcomes and retention. The research addresses gaps in empirical evidence on flipped economics pedagogy in undergraduate programs, including context-specific effectiveness, assessment of student attitudes, and scalability across modules. What the researcher will do step by step: 1. Conduct a literature review to map existing flipped classroom evidence in economics and related disciplines, identify theoretical underpinnings, and establish the conceptual framework. 2. Select two undergraduate economics modules (for example Microeconomics and Econometrics) and design flipped components: pre-class materials, in-class activities, and post-class assessments, aligned with learning objectives. 3. Recruit participants from a defined population (e.g., first- and second-year economics majors) and assign sections to flipped or traditional instruction using a quasi-experimental design. 4. Collect data using mixed methods: quantitative measures (pre/post tests assessing content knowledge, problem-solving scores, course grades, and engagement surveys) and qualitative data (focus groups and teaching observations). 5. Analyze data with appropriate techniques: ANCOVA to compare learning gains while controlling for prior achievement, regression analysis to explore factors predicting outcomes, and thematic analysis of interview/focus group transcripts to capture student experiences. 6. Interpret results in light of theoretical frameworks (for instance, constructivism and experience-based learning) and existing empirical findings, identifying conditions under which flipping is most effective. 7. Conclude with implications for pedagogy, scalability, and future research directions, noting limitations and potential biases. Expected contribution: evidence on the effectiveness and practicality of a flipped economics classroom, guidance on design and assessment, and insights into how to implement scalable active-learning strategies within economics curricula. Anticipated outcome: the flipped approach will yield higher learning gains, greater student engagement, and more positive attitudes toward economics, particularly in higher-order reasoning and application tasks. Recommendations will include best practices for material design, in-class activities, and faculty professional development.

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