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Student self-assessment: Results from a research study in a level IV elective course in an accredited bachelor of chemical engineering
Affiliation:1. Programa de Pós-Graduação em Bioenergia, Universidade Estadual do Maringá (UEM), Av. Colombo 5790, Maringá, PR 87020-900, Brazil;2. Programa de Pós-Graduação em Engenharia Agricola, Universidade Estadual do Oeste do Paraná (Unioeste), R. Universitária 1619, Cascavel, PR 85819-110, Brazil;3. Programa de Pós-Graduação em Engenharia Química, Universidade Estadual do Maringá (UEM), Av. Colombo 5790, Maringa, PR 87020-900, Brazil;4. Departamento de Tecnologia, Universidade Estadual de Maringá (UEM), Av. Angelo Moreira da Fonseca 180, Umuarama, PR 87506-370, Brazil;1. Center of Excellence on Petrochemical and Materials Technology, Department of Chemical Engineering, Faculty of Engineering, Kasetsart University, Chatuchak, Bangkok 10900, Thailand;2. Department of Agro-Industrial, Food and Environmental Technology, King Mongkut’s University of Technology North Bangkok, Pracharat 1 Road, Wongsawang, Bansue, Bangkok 10800, Thailand;1. College of Chemical Engineering, Sichuan University, Chengdu, Sichuan 610065, PR China;2. Key Laboratory of Green Chemistry and Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, PR China
Abstract:A summative Mid-term Test in a level IV course of an accredited bachelor degree from a cohort of 32 (8 female, 24 male) students was both self-assessed and assessed by the experienced course tutor, using the idealized solutions and shell-form marking scheme of the lecturer. The assignment required demonstration of discipline-specific, definitions in Pinch Analysis and calculation of temperatures and heat exchanger network (HEN) designs. The grades were analyzed for accuracy, that is, agreement between student self-assessment (S-A) and tutor, marks. In 32 valid responses (100% response rate) the mean mark awarded by the students and tutor was, respectively, 83.1 (stdev = 8.3) and 71.7 (stdev = 8.3) out of a possible 100. Overall student S-A was therefore about 1.16 times that of the tutor's mark (p < 0.025). There was no evidence of student collusion in solutions or “marks sharking”. Granularity in student S-A and tutor grading was, respectively, a ½ and 1. There was no evidence to show any systematic concordance between the tutor's performance ranking and that of the students. An independent Student Experience of Learning & Teaching survey (75% response rate) revealed a mixed reaction: there was 63% broad agreement that S-A was an effective way to learn; but low confidence (50%) that self-marking was correct. The provision of the idealized solutions (and marking scheme) was considered essential (71% broad agreement) for successful student S-A. Significantly, there was good agreement (63%) that S-A stimulated discussion of key concepts out of normal contact hours, indicating good student engagement with their learning and pedagogical effectiveness of S-A.
Keywords:Student self-assessment with idealized solutions  Undergraduate self-assessment in a chemical engineering degree  Students’ marking behaviour  Quantitative students’ evaluation  Anonymous student feedback  Learning and teaching in higher education
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