![]() ![]() Through a satellite link with 'Houston' she/he is directed to complete a number of missions on different planets. The player is not on their own, but accompanied by programmable robots that can help in building and defending structures. The player takes the role of an astronaut with the mission to find a habitable planet, after humankind plunged the Earth into an ecological catastrophe. On Wednesday, May 18, 2022, IAFOR will be hosting the second instalment of its free Zoom webinar series, with the Executive Editor Yvonne Masters, Issue Editors Michael Menchaca and Pearl Subban, and Associate Editor of the IAFOR Journal of Literature & Librarianship Murielle El Hajj Nahas.Error creating thumbnail: /bin/bash: convert: command not found Arch AUR:Ĭolobot - colonise with bots - is a combination of a real-time strategy and a programming game. Webinar: Writing an Abstract for Maximum Impact ![]() We are delighted that the Journal’s Language Learning Issue for 2022 is now published. Now Published: Volume 10 – Issue 1 – IAFOR Journal of Education – Language Learning in Education We are delighted that the Journal’s Technology in Education Issue for 2022 is now published. Now Published: Volume 10 – Issue 2 – IAFOR Journal of Education – Technology in Education We are delighted that the Journal’s Studies in Education Issue for 2022 is now published. Now Published: Volume 10 – Issue 3 – IAFOR Journal of Education – Studies in Education Submissions Open: Volume 11 – Issue 1 – IAFOR Journal of Education – Language Learning in Education We are delighted that the Journal’s Language Learning in Education Issue for 2023 is now published. Now Published: Volume 11 – Issue 1 – IAFOR Journal of Education – Language Learning in Education Technology enhanced learning, computer programming, research methods, multivariate analysis Results were useful for informing teaching practice and suggested: (1) realigning assessments to more fully capture code-level skills (important in the workplace) (2) re-evaluating attendance-based elements of module design and (3) the overall merit of multivariate canonical gradient approaches for evaluating and visualizing the effectiveness of a learning system platform. The three assessment indices were correlated with behaviors of independent study and peer collaboration, but were only weakly associated with attendance. Thus strong module performance was not a reliable predictor of programming ability. Ordination diagrams and summary statistics for canonical analyses suggested that logbook grades (the basis for module assessment) and code understanding were weakly correlated. 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. Author: Richard Mather, Buckinghamshire New University, United KingdomĬitation: Mather, R. ![]()
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