Scientific reasoning
Description
This dataset contains student performance metrics collected during a study comparing the effects of a control condition and an intervention on various academic skills.
Files
Steps to reproduce
Methodology Overview: This dataset was collected as part of a study evaluating the impact of independent research projects on scientific reasoning skills in asynchronous online plant science courses. A controlled experimental design was implemented, with students divided into control and intervention groups. Data were gathered during the Spring 2022 and Spring 2023 semesters from three online courses: BOT 2010C, BOT 2501C, and BOT 2800, delivered via the Canvas learning management system. Data Collection and Evaluation: Quantitative Measures: Student performance was assessed using multiple-choice quizzes evaluating scientific reasoning, writing, questioning, citation, conclusion analysis, and variable understanding. Scores were assigned based on standardized rubrics, with 100 points possible. Scientific reasoning scores were calculated as a composite of multiple parameters. Qualitative Insights: Additional qualitative data were derived from interviews, self-assessments, and final project submissions for selected participants. Protocols and Tools: Assessments followed established STEM education frameworks (e.g., Bao et al., 2009). Statistical analysis was conducted using Excel’s Analysis ToolPak, employing paired sample Student's t-tests to evaluate group differences. The project module included structured instructions, scaffolded guidance, and feedback via Brainfuse. Reproducibility: Detailed assignment instructions, rubrics, and administration procedures are included in the supplemental materials, ensuring reproducibility of the experimental approach.