📘 Research Overview
This study critically evaluates the Flipped Classroom (FC) model in an undergraduate social statistics course at Johns Hopkins University, examining how it impacts student engagement and inclusion in post-pandemic educational contexts.
Using a mixed-methods approach with 35 participants across Fall 2023 and Fall 2024, the research combines Likert-scale surveys with focus group discussions to assess both cognitive and affective engagement dimensions.
Key findings reveal that while FC provides foundational learning benefits, it presents significant limitations in fostering student autonomy and accommodating diverse learning preferences—challenges intensified by post-pandemic educational disruptions. The study identifies how Blended Learning (BL) design elements could better address these gaps through enhanced interaction, material diversification, and progressive scaffolding.
Context: Post-Pandemic Challenges
Following COVID-19, higher education faced unprecedented challenges in creating flexible yet rigorous learning environments. Remote learning had uneven impacts across student groups, creating variability in self-directed learning skills and highlighting structural inequities that require fundamental course redesign.
Purpose of the Study
To empirically evaluate the Flipped Classroom model's effectiveness in quantitative education and identify how Blended Learning design elements could better address diverse student needs through enhanced interactions, material diversification, and progressive scaffolding approaches.
Research Questions
RQ1: How does the design of online pre-class materials impact students' perceived learning and engagement in the remote portion?
RQ2: How do availability, diversification, and scaffolding of materials impact perceived relevance and engagement during in-class activities?
🧪 Methodology Explorer
Mixed-Methods Approach
This study employs a mixed-methods approach integrating quantitative and qualitative analyses to develop a comprehensive understanding of the FC model's effectiveness.
📊 Quantitative
Likert-scale surveys administered to all course participants, providing quantifiable data for statistical analysis with a 5-point scale (excluding neutral option).
💬 Qualitative
Focus groups conducted with voluntary participant subsets, capturing in-depth insights into nuanced opinions and emotional responses.
Study Participants
35 students enrolled in "Introduction to Social Statistics" at Johns Hopkins University.
Demographics
Academic Majors
Survey Structure
Survey 1 — Research Question #1
18 questions measuring engagement in the remote portion
- • Cognitive Engagement: Q1-Q4, Q16-Q17
- • Affective Engagement: Q6-Q11, Q14-Q15
- • Preparedness: Q5, Q12
- • Perceived Learning: Q13, Q18
Survey 2 — Research Question #2
8 questions measuring inclusion and in-class engagement
- • Availability & Accessibility: Q1
- • Diversification: Q2-Q3
- • Scaffolding: Q4
- • Perceived Relevance: Q5
- • Engagement: Q6 (Cognitive), Q8 (Social)
Focus Groups
Four focus group sessions with 12 total participants provided qualitative depth to complement survey data.
Analysis Methodology
Thematic analysis following Braun & Clarke's (2006) six-phase approach with intercoder reliability (Cohen's κ = 0.82).
Two researchers independently reviewed transcripts with line-by-line analysis.
Codes grouped into broader categories based on recurring patterns.
Categories refined into themes connecting to conceptual framework.
📅 Data Collection Timeline
Weeks 10-14
Surveys + Focus Groups
Weeks 10-14
Surveys + Focus Groups
📊 Research Findings
Cognitive Engagement in Remote Learning (Survey 1)
Affective Engagement in Remote Learning (Survey 1)
Availability, Accessibility & Scaffolding (Survey 2)
In-Class Engagement (Survey 2)
✓ Strengths Identified
- 100% clarity of instructions
- 100% material availability
- 100% scaffolding effectiveness
- 96% preparedness for class
âš Limitations Found
- Only 46% adequate interaction
- Only 58% feel autonomous
- 21% want more diverse materials
- 22% desire more collaboration
🧠Focus Group Themes
Three primary themes emerged from qualitative analysis, providing context for quantitative findings and deeper insights into student experiences.
Challenges with Self-Directed Learning
Students reported difficulties with the self-directed nature of pre-class activities, particularly where concepts build sequentially.
Importance of Immediate Feedback
Participants emphasized the need for timely guidance during pre-class activities, especially with complex statistical concepts.
Learning Preference Diversity
Students expressed varied preferences for material presentation and learning pathways based on mathematical background.
🚀 Blended Learning Redesign Insights
Based on FC evaluation findings, the research identifies strategic BL approaches that could address identified limitations through interdependent learning components.
Key Takeaway
Effective learning design is not about implementing a single model, but about creating flexible, responsive educational experiences that recognize and nurture the unique learning potential of each student. The validated inclusion-engagement interconnection demonstrates that addressing inclusion gaps through material diversification and collaborative opportunities could simultaneously enhance both cognitive and affective engagement dimensions.
📚 Citations & Further Reading
Key References
Download & Resources
Access the Full Paper
This research is published as Open Access under Creative Commons Attribution 4.0 International License.
Download Full Paper (DOI)About the Authors
Daria Mizza — Department of Applied Linguistics and Educational Studies, American University in Cairo
Mike Reese — Center for Teaching Excellence and Innovation, Johns Hopkins University
Dhafer Malouche — Department of Mathematics and Statistics, Qatar University