Design and evaluate a digital simulation tool for enhancing science inquiry skills | Blazingprojects Postgraduate Thesis
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Design and evaluate a digital simulation tool for enhancing science inquiry skills

 

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 Foundations of Digital Simulation in Science Education
  • 2.2Theoretical Framework: Constructivist Learning Theory and Inquiry-Based Learning Theory
  • 2.3Empirical Studies on Digital Simulations Enhancing Science Inquiry Skills
  • 2.4Role of Technology in Promoting Scientific Inquiry
  • 2.5Design Principles for Effective Science Simulations
  • 2.6Assessment of Inquiry Skills in Science Education
  • 2.7Challenges and Barriers to Implementing Digital Simulations
  • 2.8Previous Models of Digital Simulation Evaluation
  • 2.9Gaps in Existing Literature on Digital Science Simulations
  • 2.10Conceptual Framework for Simulation Design and Evaluation
  • 2.11Summary of Literature Review and Theoretical Insights
  • 2.12Synthesis of Reviewed Literature and Research Gaps

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design and Approach
  • 3.2Philosophical Paradigm Underpinning the Study
  • 3.3Population of the Study and Target Participants
  • 3.4Sampling Techniques and Sample Size Calculation
  • 3.5Instruments and Data Collection Procedures
  • 3.6Validity and Reliability of Data Collection Instruments
  • 3.7Ethical Considerations and Approvals
  • 3.8Data Analysis Methods and Software Tools
  • 3.9Model Specification for Evaluating the Simulation Effectiveness
  • 3.10Procedures for Data Management and Storage

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION
  • 4.1Introduction to Data Presentation
  • 4.2Descriptive Statistics of Participants and Instruments
  • 4.3Pre- and Post-Intervention Inquiry Skills Scores
  • 4.4Hypotheses Testing Results (e.g., t-tests, ANOVA, regression)
  • 4.5Interpretation of Quantitative Findings
  • 4.6Qualitative Feedback from Participants (if applicable)
  • 4.7Comparison of Findings with Literature Review
  • 4.8Discussion of Implications for Science Inquiry Pedagogy

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Key Findings
  • 5.2Conclusions Drawn from the Study
  • 5.3Contribution to Science Education Knowledge
  • 5.4Recommendations for Practice and Policy
  • 5.5Limitations of the Research
  • 5.6Suggestions for Future Research

Thesis Abstract

In the contemporary science education landscape, the development of effective pedagogical tools that foster inquiry-based learning remains a critical challenge, especially within digital environments where students often lack opportunities for interactive experimentation and hypothesis testing. This study addresses the problem of insufficient enhancement of science inquiry skills among secondary school students, attributable to limited access to practical laboratory experiences and insufficient engagement with inquiry processes in traditional teaching methods. The primary aim of the research is to design, implement, and evaluate a digital simulation tool that specifically targets the development of science inquiry skills, such as hypothesizing, designing experiments, data analysis, and interpretation. The study pursues three specific objectives (1) to design an interactive digital simulation platform rooted in constructivist learning principles; (2) to evaluate the effectiveness of the simulation tool in improving students' inquiry skills; and (3) to identify the technological and pedagogical factors influencing the tool's adoption and usability. The research adopts a quasi-experimental mixed-methods design, integrating quantitative pre-test and post-test assessments with qualitative interview data to provide a comprehensive understanding of the tool’s impact. The target population comprises senior secondary school students enrolled in science courses within a metropolitan school district. A total sample size of 200 students will be selected through stratified random sampling to ensure representation across gender and academic performance levels. Quantitative data will be gathered through validated inquiry skill assessment instruments administered before and after the intervention, while qualitative data will be collected via semi-structured interviews with 20 selected participants, guided by constructs from the Technological Pedagogical Content Knowledge (TPCK) framework and the Inquiry Science Teaching Model. Data analysis will involve paired samples t-tests and ANCOVA to determine the statistical significance of score improvements, with effect sizes calculated through Cohen’s d. Thematic analysis will be employed to interpret interview data, exploring perceptions of usability, engagement, and perceived learning benefits. The design process of the digital tool will incorporate an iterative development cycle informed by user-centered design principles, and usability testing data will be analyzed through descriptive statistics and heuristic evaluation. Expected findings suggest that students engaging with the digital simulation will demonstrate statistically significant gains in inquiry skills, with qualitative insights indicating high levels of engagement and perceived relevance. Factors such as interface clarity, contextual realism, and scaffolding features are anticipated to positively influence user experience and learning outcomes. These results are expected to contribute to the theoretical understanding of digital tools in inquiry-based science education, substantiating the relevance of constructivist and inquiry models such as the 5E instructional model integrated into digital environments. This study advances knowledge by providing empirical evidence on the efficacy of simulation-based interventions in enhancing scientific thinking and problem-solving abilities among secondary students. The developed digital tool offers a scalable solution to bridge the gap between theoretical inquiry skills and practical application in digital contexts, with implications for curriculum design, teacher training, and educational policy. It is recommended that future research explore longitudinal impacts and adapt the simulation for collaborative learning settings. Overall, this research underscores the potential of innovative digital resources to transform science education and foster critical scientific inquiry competencies essential for the 21st century.

Thesis Overview

This research focuses on creating and testing a digital simulation tool designed to help students improve their science inquiry skills. Science inquiry involves the processes students use to ask questions, plan investigations, collect data, analyze results, and draw conclusions. Developing effective ways to teach these skills is important because they are fundamental to understanding science and doing scientific work, but many students find them challenging to master through traditional teaching methods. The problem this study addresses is the limited use and effectiveness of current teaching strategies for science inquiry, especially in digital learning environments. There is a need for engaging, interactive tools that can simulate real scientific investigations and provide immediate feedback to students. The research aims to fill this gap by designing a user-friendly digital simulation that allows students to practice inquiry skills in a virtual setting and then assessing its impact on their learning. The researcher will first review existing literature to understand current approaches to teaching science inquiry and identify gaps. Next, they will design the digital simulation based on educational theories such as constructivism and cognitive load theory. The study will then involve selecting a sample of students from a university or high school, with randomly assigned control and experimental groups. Data will be collected through questionnaires measuring inquiry skills before and after using the simulation, as well as through observations and interviews to gather qualitative feedback. Analysis will include statistical tests like paired t-tests to measure changes in inquiry skills and thematic analysis of interview data to understand user experiences. The expected outcome is that students who use the simulation will show significant improvement in their inquiry skills compared to those who do not, suggesting that such digital tools can effectively support science education. The study will contribute new insights into digital resource design for science teaching and provide evidence for integrating simulation tools into science curricula. The main conclusion is likely to be that well-designed digital simulations can enhance inquiry skills, and recommendations will include strategies for wider implementation and further development of such tools for different educational levels.

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