Learning or teaching programming in CS1 classes continues to record high failure or attrition rates. It is suggested from past researches that many of our students are ill-prepared. So I am interested in any research instrument that can be used to measure the programming-learning readiness of novice computer science students.
Programming and programming concepts are very broad. I dont think there is a particular tool to do your research, you may have to design and customise one yourself in the context of your programming concepts, programming language and methodology. You can see my work on this aspect of measuring learning outcome using agent classification learning technique.
Maybe this paper has some informations to start with your research. https://www.cs.cmu.edu/~ckaestne/pdf/icpc12.pdf
Calculating the novices performance require estimate, for example, the number of lines produced by novice college CS students; numbers spending to realize a solution; times of compilation, number of lines of code, time of execution, etc.
Thanks guys for sharing your thoughts on this question. Perhaps I should have made it clearer by defining or describing the kind of novice I mean in the question. Novices here are those who know little or nothing about computer science, programming or programming language. They have never written any line of code. They are like the kids in the kindergarten yet to know even the 'alphabet' of programming. My interest is here is study what makes such CS students ready to even learn programming just as we talk about learning readiness of kids in the kindergarten or kids moving from kindergarten to primary (or grade) 1. How do we measure the cognitive and affective readiness of CS1 students for programming. Since it appears many of our students are ill-prepared for the struggle, rigour or challenges they must encounter in the CS1 classes for learning programming, knowing this readiness or otherwise may contribute to providing them with appropriate pedagogical approach.
- Badges
- Science topic
- Similar topics
- Computer Science