Impact of inquiry-based labs on undergraduate science motivation and achievement
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Defining Inquiry-Based Laboratories in Science Education
- 2.2Conceptual Review: Motivation in Undergraduate Science Learning
- 2.3Conceptual Review: Academic Achievement in Laboratory Contexts
- 2.4Theoretical Framework: Constructivism and Inquiry-Based Science Teaching
- 2.5Theoretical Framework: Self-Determination Theory and Motivation in STEM
- 2.6Empirical Review: Effects of Inquiry-Based Labs on Motivation
- 2.7Empirical Review: Effects of Inquiry-Based Labs on Achievement
- 2.8Empirical Review: Gender and Disciplinary Variations in Lab-based Motivation and Achievement
- 2.9Contextual Influences: Lab Environment, Resources, and Teacher Facilitation
- 2.10Pedagogical Practices: Assessment, Feedback, and Reflection in Inquiry Labs
- 2.11Technology Integration in Inquiry-Based Labs
- 2.12Identified Gaps in the Literature
- 2.13Conceptual Model or Summary of the Review
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Quasi-Experimental Longitudinal Field Study
- 3.2Philosophical Paradigm: Post-Positivist with Pragmatic Inference
- 3.3Population of the Study: Undergraduate Science Courses Implementing Inquiry-Based Labs
- 3.4Sample Size and Sampling Technique: Stratified Random Sampling of Courses and Students
- 3.5Sources and Instruments of Data Collection: Validated Motivation Scales, Science Achievement Tests, and Lab Performance Rubrics
- 3.6Validity and Reliability of Instruments
- 3.7Data Collection Procedures: Pre-, Mid-, and Post-Intervention Assessments
- 3.8Data Analysis Methods: Multilevel Modeling and ANCOVA
- 3.9Model Specification or Analytical Framework: Hierarchical Linear Modeling of Motivation and Achievement
- 3.10Ethical Considerations: Informed Consent, Anonymity, and Data Security
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION OF FINDINGS
- 4.1Data Presentation Overview: Descriptive Statistics by Group and Time
- 4.2Descriptive Analysis: Baseline Motivation and Achievement Levels
- 4.3Descriptive Analysis: Post-Intervention Motivation and Achievement
- 4.4Hypotheses Testing: Effect of Inquiry-Based Labs on Motivation
- 4.5Hypotheses Testing: Effect of Inquiry-Based Labs on Achievement
- 4.6Multilevel Analysis Results: Variation at Student and Course Levels
- 4.7Interpretation of Results: Linking Findings to Constructivist and Self-Determination Theories
- 4.8Discussion of Findings in Relation to Reviewed Literature
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions
- 5.3Contribution to Knowledge
- 5.4Recommendations for Practice: Implementing Inquiry-Based Labs to Enhance Motivation and Achievement
- 5.5Recommendations for Policy and Curriculum Design
- 5.6Suggestions for Further Studies
Thesis Abstract
This study investigates how inquiry-based laboratories influence undergraduate science motivation and achievement, addressing a persistent gap in empirical evidence on active-learning strategies within science curricula and their differential impact across student demographics. The aim is to determine whether participation in inquiry-based lab activities enhances intrinsic motivation, self-efficacy, and achievement in core science courses, and to identify contextual factors that moderate or mediate these effects. Specific objectives include (1) comparing motivation indices and course performance between students experiencing inquiry-based labs and those in traditional labs, (2) examining changes in scientific reasoning and experimental design skills, and (3) exploring students’ perceptions of autonomy, competence, and relatedness as articulated by self-determination theory (SDT) during laboratory work. The study adopts a quasi-experimental, mixed-methods design conducted at a large public university over two academic semesters. The population comprises first- and second-year undergraduates enrolled in general chemistry and introductory biology laboratory courses. A total of 420 students will be recruited, with 210 assigned to inquiry-based laboratory sections and 210 to traditional laboratory sections, matched on prior academic performance (GPA and prerequisite course grades) and baseline motivation measures. Data collection instruments include (a) validated scales for motivation (Motivational Regulation in Science Education Scale, intrinsic motivation and identified regulation subscales), self-efficacy (Science Laboratory Self-Efficacy Scale), and engagement (Science Engagement Inventory); (b) achievement data from course-end exams and lab reports; (c) a performance assessment of scientific reasoning and experimental design skills developed for the study; (d) perception data collected through semi-structured interviews with a purposive subsample of 40 students and focus groups with 8 laboratory instructors. Instruments will be pilot-tested for content validity and reliability, with Cronbach’s alpha targeted at ?0.80 for all scales. Quantitative data will be analyzed using ANCOVA to compare post-intervention achievement and motivation scores between groups, controlling for baseline measures; multiple regression will assess predictors of achievement gains, including motivation, self-efficacy, and engagement. A multilevel modeling approach will account for nested data (students within laboratory sections). Mediation analyses will test whether changes in motivation and self-efficacy mediate the relationship between laboratory type and achievement. Qualitative data from interviews and focus groups will be analyzed thematically using a semi-structured coding framework anchored in SDT and scientific thinking constructs, with triangulation across sources to enhance trustworthiness. Thematic analysis will identify perceived autonomy support, relevance, collaborative learning, and perceived rigor as mechanisms underpinning observed outcomes. Key expected findings include (1) students in inquiry-based labs will exhibit significantly higher intrinsic motivation, autonomous regulation, and science self-efficacy, accompanied by greater engagement in laboratory activities; (2) improved scientific reasoning and experimental design performance among the inquiry-based group, reflected in higher scores on the bespoke performance assessment and lab reports; (3) a moderated effect of prior interest in science, with greater gains for students with initially lower motivation; (4) qualitative insights revealing that autonomy-supportive instruction, iterative feedback, and collaborative inquiry mediate motivation and achievement. The study contributes to knowledge by providing robust empirical evidence on the effectiveness of inquiry-based labs in enhancing both affective and cognitive outcomes in undergraduate science education, clarifying the role of SDT-related constructs in lab-based learning, and offering contextually grounded insights into scalable implementation. It informs curriculum design, instructor professional development, and policy decisions regarding resource allocation for active-learning laboratories. The main conclusion anticipated is that inquiry-based laboratories yield meaningful improvements in motivation and achievement, particularly for students with lower initial motivation, when implemented with explicit autonomy-supportive practices and structured collaboration. Recommendations include integrating professional development emphasizing inquiry facilitation, aligning assessment to inquiry processes, ensuring sufficient time and materials for iterative experimentation, and conducting longitudinal studies to examine long-term impacts on persistence in STEM fields.
Thesis Overview
This research examines how inquiry-based laboratory activities influence undergraduate science students’ motivation to learn and their actual achievement in science courses. It matters because many science programs rely on traditional cookbook labs that may not foster curiosity or deep understanding, potentially limiting student engagement, persistence, and performance in STEM fields. The study addresses a gap in understanding the relative impact of inquiry-based labs on both affective outcomes (motivation, interest, self-efficacy) and cognitive outcomes (conceptual understanding, skill development) across general biology and chemistry courses.
What the researcher will do
- Clarify research questions and hypotheses about the relationship between participation in inquiry-based labs, motivation, and achievement.
- Design a quasi-experimental study in which two comparable sections of an undergraduate science course are taught with different lab approaches: inquiry-based labs (treatment) vs. traditional labs (control).
- Select participants from a mid-sized university, aiming for approximately 200 students across two semesters, ensuring demographic balance and courses with similar prerequisites.
Data collection
- Motivation data: use validated instruments such as the Science Motivation Questionnaire II (SMQ-II) and self-efficacy scales administered at baseline and after the lab interventions.
- Achievement data: collect course performance metrics including lab reports, practical exam scores, and overall course grades.
- Qualitative data: conduct semi-structured focus groups with a subset of students to explore perceptions of learning processes and engagement.
- Collect instructor logs and classroom observations to document fidelity of the instructional approaches.
Data analysis
- Quantitative: perform ANCOVA to compare post-intervention motivation and achievement between groups while controlling for baseline levels; run multiple regression to identify predictors of achievement; check assumptions and report effect sizes.
- Qualitative: apply thematic analysis to interview and focus group transcripts to identify patterns related to autonomy, inquiry, and perceived competence.
- Triangulate findings to develop a comprehensive interpretation of how inquiry-based labs influence both motivation and achievement.
Expected contribution and outcomes
- Provide empirical evidence on whether inquiry-based labs yield higher motivation and improved achievement compared with traditional labs.
- Offer practical guidance for curriculum designers on implementing inquiry-based laboratory experiences at scale.
- Clarify mechanisms—such as enhanced autonomy and relevance—that link inquiry-based pedagogy to student outcomes, informing future pedagogical research and policy decisions in undergraduate science education.