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Digital and continuous assessment

The project involves developing digital assessment in biotechnology and chemistry-related subjects via KTH Digicertus Exam (Safe Exam Browser), both for continuous assessment of theory modules and for assessment of higher conceptual understanding such as exams with drawing and essay questions.

Project context  

Modern pedagogy research indicates that continuous examination increases students' deep learning and is a way to help students' continuous learning during the course. Digital examination can be a way to reduce the teacher's workload, expand the possibilities for more advanced and varied examination elements and also examine in a correct context. 

A basic level of understanding can be assessed through multiple choice quizzes. Such quizzes can be auto-corrected in Canvas. The resource-intensive scanning process can potentially be limited and eventually abandoned at KTH. However, assessing a higher level of conceptual understanding digitally is difficult today. There is a general need to facilitate the transition of a course to digital assessment and to explore the possibilities of implementing new tools for assessing higher level conceptual understanding. 

Purpose (outcome) 

  • Continuous digital assessment as an effective learning activity and a tool for students’ deep learning  

  • Time and resources saved for teachers and administrators 

  • For the first time, enable digital assessment of higher conceptual understanding in biotechnology and chemistry related courses 

  • Expansion of what we can examine, which means a positive effect on KTH level (can be measured, or at least made visible), via the course examination types 

Project results (output) 

Courses to be developed to include digital intermediate assessments using Canvas quizzes and, in addition, a digital final exam. Additional course-appropriate software (e.g. for chemical drawing) will be implemented into Canvas where possible. 

  • BB1150 Biochemistry 1  

  • BB1200 Analysis of Biomolecules  

  • BB1050 Biotechnology 

  • BB1000 Programming in Python 

  • Documented results and lessons learnt for knowledge dissemination 

Time plan 

Start date: 2023-06-01
End date: 2026-06-01 

Project documentation [se ovan] 

If you have a KTH ID, you can read the latest project documents when logged in.

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