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Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills.

Geela Venise Firmalo Fabic¹, Antonija Mitrovic¹, Kourosh Neshatian¹

¹Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, Christchurch, 8041 New Zealand.

Research and Practice in Technology Enhanced Learning

|January 8, 2019

Summary

PyKinetic, a mobile tutor for Python programming, showed more benefits for advanced students. Its coding activities effectively support debugging and code-writing skills, with insights gained for future usability improvements.

Keywords:

Advanced students Code tracing Code writing Mobile learning Novice students Programming skills Python tutor

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A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

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Published on: February 13, 2020

Area of Science:

Computer Science Education
Mobile Learning Technologies

Background:

Mobile devices offer ubiquitous learning experiences.
Traditional programming courses can be supplemented by mobile tutors.
PyKinetic is a mobile tutor designed to enhance programming education.

Purpose of the Study:

Evaluate the learning effectiveness of PyKinetic's coding activities.
Compare the impact of activities on novice versus advanced learners.
Gather feedback to improve PyKinetic's usability.

Main Methods:

Developed PyKinetic (PyKinetic_DbgOut) with five activity types: debugging, code-tracing, and code writing.
Conducted a controlled lab study with quantitative and qualitative data collection.
Addressed research questions on activity effectiveness, learner-specific impact, and usability.

Main Results:

PyKinetic_DbgOut learning activities were more beneficial for advanced students.
Identified distinct interrelations of coding skills for novices and advanced learners.
Collected participant feedback for tutor enhancement.

Conclusions:

The combination of coding activities in PyKinetic is effective for learning programming.
PyKinetic's current design benefits advanced learners more than novices.
User feedback provides a clear path for improving PyKinetic's usability and effectiveness.