Designing practical science assessments in England: students' engagement and perceptions

• Published in: Research in science & technological education 2023-01, Vol.41 (1), p.190-210
• Main Authors: El Masri, Yasmine H., Erduran, Sibel, Ioannidou, Olga
• Format: Article
• Language: English
• Subjects: Assessments; diversity of scientific methods; GCSE; Foreign Countries; Grade 10; Guidelines; Hypothesis testing; Knowledge Level; Learning Processes; Physics; Practical science; Science education; Science Instruction; Science Process Skills; Science Tests; Scientific method; Scientific Methodology; Scientific Research; Secondary School Students; Student Attitudes; Student participation; summative assessment; Summative Evaluation; Taxonomy; Teaching Methods; Test Construction; Test Items
• ISSN: 0263-5143; 1470-1138
• DOI: 10.1080/02635143.2021.1872519

The paper discusses how the design of summative assessments of practical science can be enhanced through the use of robust theoretical models that capture the diversity of scientific methods. The developments in assessment policy in England and the role of practical science in teaching and learning of science are reviewed. The paper has two main purposes: (a) to explore how summative assessments of practical science can potentially reflect the breadth of scientific methods; and (b) to investigate how Year 10 students in England engage with and perceive summative assessments designed using Brandon's Matrix, a framework clarifying the diversity of scientific methods. The paper draws on data from Year 10 (14-15 years old) students with a sample of physics assessment tasks developed using Brandon's Matrix. The study focused on the development of a series of assessment questions based on Brandon's Matrix, a framework by a philosopher of science, who classifies scientific methods in a taxonomy. Students' performance on the assessments as well as their perceptions about practical science are investigated. The results suggest that students held a very narrow understanding of what a scientific method is and often linked it to hypothesis testing, variable manipulation and measurement of several variables. Furthermore, they reported not to enjoy drawing conclusions from data.