![]() ![]() Acceptance and opinion factors (such as perceived enjoyment and effectiveness of Ceebot) were treated as expressions of motivation to engage with the learning environment. Behavioral characteristics (such as attendance, collaboration and independent study) were regarded to be indicative of learning activity. Response data included Likert expressions for behavioral, acceptance and opinion traits. Environmental factors are represented here by three "assessment" gradients one for the overall module mark and two independent tests of programming knowledge and skill. Multivariate ordination approaches are widely used in ecology to explore species distribution along environmental gradients. This uses "Ceebot", an animated and immersive game-like development environment. The subject of evaluation is a first year BSc module for computer programming. This paper explores the application of canonical gradient analysis to evaluate and visualize student performance and acceptance of a learning system platform. Multivariate Gradient Analysis for Evaluating and Visualizing a Learning System Platform for Computer Programming. The game has been recommended by the Polish Ministry of National Education as a teaching aid for learning the basics of algorithms and object-oriented programming.Author: Richard Mather, Buckinghamshire New University, United KingdomĬitation: Mather, R.
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