Replication Data for: "I don’t know: An exam intervention that allows software engineering students to express ignorance"

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Authors: Hans-Martin Heyn
Cited by: 0

Abstract

This is the replication package for the study and manuscript "I don’t know: An exam intervention that allows software engineering students to express ignorance". Data in this replication package: The replication package contains the following anynomised raw data: Midterm Exam Results Midterm Survey Results Main Exam Results The pre-processed data can be created with Module_1_Data_Intake.ipynb Code in this replication package: The replication package contains 9 modules to replicate the Bayesian Data Analysis and survey analysis described in the manuscript. Module_1_Data_Intake.ipynb: Reads and pre-processes the raw data. Module_2_Midterm_Analysis_M1.ipynb: Defines, runs, and diagnoses Bayesian Model M1 for midterm exam data. Module_3_Longitudinal_Analysis_M2.ipynb: Defines, runs, and diagnoses Bayesian Model M2 for longitudinal midterm-main exam data. Module_4_Midterm_M1_Plotting.ipynb: Plotting functions to recreate plots for model M1 shown in manuscript (and additional ones that were skipped for brevity). Module_5_Longitudinal_M2_Plotting.ipynb: Plotting functions to recreate plots for model M2 shown in manuscript (and additional ones that were skipped for brevity). Module_6_ExportDataTable.ipynb: Creates Latex tables of exam data. Module_7_ExportParamTables_Midterm_M1.ipynb: Creates Latex tables of inference results and derived parameters for model M1. Module_8_ExportParamTables_Longitudinal_M2.ipynb: Creates Latex tables of inference results and derived parameters for model M2. Module_9_PlotSurveyResults.ipynb: Creates plots outlining the survey results as shown in the manuscript. Additional information The replication package contains the following additional documents: Distributed Systems Course Syllabus.pdf Copies of the exams in the folder /exams

Fields of Study & Subjects

Statistics Education and Methodologies Student Assessment and Feedback Engineering Education and Curriculum Development

Publication details

Journal / source
Harvard Dataverse
Publication date
12 January 2026
Document type
Dataset