Automagically marking Python course work and assessments in seconds!

This session covers how to facilitate near immediate marking and feedback of student submitted code. I have been using this mechanism for teaching Python for almost 3 years and the feedback from the students is positive. Moodle, CodeRunner and JobEngine are not restricted to Python although Python is my preference, other coding areas will be mentioned.

I will show how questions created in Moodle covering a variety of topics interact with CodeRunner and ultimately how the student code and question test data is submitted to a JobEngine VM and the results returned to Moodle for the student to see. Based on the response time of both Moodle and JobEngine, this can be between 200 msec and 2 seconds, typically it is less than 1 second. While Moodle is used for hosting the questions, these are not multi-choice based lab questions.

I am keen on providing immediate feedback to the students for their code based solutions, the immediacy of feedback is seen as a success point for this course. I would like to encourage others to explore this.

Instructions will be provided which will encourage the audience to look at creating their own service or making use of shared resources.

I prefer the logic analyser or packet trace end of the computing spectrum and have a passion for embedded computing or IoT as it is now.