By Nelum S.S.M. Hapuhinna (Northern Kentucky University)
Information
Concepts-Integrated Project-Based Learning (CIPBL) is an instructional approach combining structured conceptual learning with Project-Based Learning (PBL) elements. The teaching framework aligns well with applied statistics courses, covering both applied and theoretical concepts. In CIPBL, students collaborate in groups over an extended period to research real-world problems, design solutions, and present their findings, similar to PBL, while also developing a deep understanding of statistical concepts through structured instruction and manual exploration, all centered around a main project assigned to each group.
The following outlines CIPBL implementation in an undergraduate regression analysis course, where groups select a real-world problem and analyze a dataset to explore the problem further while learning regression analysis concepts.
The CIPBL project is divided into components: Manual Data Calculation (MDC) and Hands-on Data Practice (HDP). MDC emphasizes developing students' understanding of statistical concepts, tailored to each project and guided by structured instruction. HDP integrates student-centered problem-solving, where students apply conceptual knowledge gained from MDC to data analysis to find solutions or identify advanced approaches. HDP involves researching data, developing a plan, analyzing the dataset, and presenting the findings. Each group member completes specific tasks, and the final report and presentation reflect the collective contributions of all group members.
Additional components in CIPBL include Learning and Exploration (LE), integrating software tools, videos, and readings to support mini-lectures, and Review and Mastering (RM), encouraging problem-solving and biweekly discussions. Assessments include individual, group, and peer evaluations through MDC, HDP, LE, RM, exams, and participation.