Design-Expert to Streamline Chemical Engineering Experimental Research and Development

Mixed-Method Perspectives

Authors

  • Rishen Roopchund University of South Africa
  • Naadhira Seedat University of Pretoria
  • Olawumi Oluwafolakemi Sadare Aston University
  • Kapil Moothi North-West University

DOI:

https://doi.org/10.54337/irspbl-11065

Keywords:

Design-expert, Experimental research, Statistical experimental design, Research optimization, Research and development

Abstract

This paper presents an overview of Design-Expert, a statistical experimental design tool, in optimizing chemical engineering research and development. A mixed-method approach is adopted in the study by using quantitative literature findings of diverse experimental studies incorporating the use of Design-Expert and qualitative findings stemming from a focus group study with four cross-institutional chemical engineering research supervisors. While the quantitative literature studies demonstrate the effectiveness and capabilities of Design-Expert across multiple fields of study, the qualitative study is based on the perspectives, experiences and recommendations of the research supervisors concerning Design-Expert. The qualitative study was structured with five main sections: the integration of Design-Expert into research activities, the effectiveness and outcomes of Design-Expert, management of academic priorities incorporating the use of Design-Expert, research skills and development concerning the training of postgraduate students in applying Design-Expert into their research, and the broader impacts and collaborations facilitated by Design-Expert. Overall, the findings indicate substantial positive findings concerning the productivity and quality of research outcomes incorporating the use of Design-Expert. 

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Published

14-11-2025

How to Cite

Roopchund, R., Seedat, N., Oluwafolakemi Sadare, O., & Moothi, K. (2025). Design-Expert to Streamline Chemical Engineering Experimental Research and Development: Mixed-Method Perspectives . Proceedings from the International Research Symposium on Problem-Based Learning (IRSPBL). https://doi.org/10.54337/irspbl-11065

Issue

Section

Theme 3: Technology, AI, and Digital Learning in STEM Education