Using animation to help students learn computer algorithms

Area of Science:

• Computer Science Education
• Cognitive Psychology

Background:

• Prior research on animation's impact on learning computer algorithms shows inconsistent results.
• This inconsistency may stem from animations not being optimized for effective information delivery to learners.

Purpose of the Study:

• To investigate the effects of instructional analysis-based materials and animation on student problem-solving performance in computer algorithms.
• To determine if animation can enhance learning, particularly when integrated with varying quality of textual information.

Main Methods:

• Conducted an instructional analysis of computer algorithms to design targeted teaching materials.
• Two studies involved participants studying text-based information (stronger or weaker) supplemented with still frames or animation.
• Assessed learning through near and far transfer problem-solving tasks.

Main Results:

• Learners using materials derived from instructional analysis demonstrated superior performance on transfer tasks.
• Animation positively impacted performance, notably for students who initially engaged with weaker textual content.
• The combination of instructional analysis and animation showed promising learning gains.

Conclusions:

• Instructional analysis is crucial for developing effective learning materials for computer algorithms.
• Animation can be a valuable tool for enhancing learning, especially as a supplement to existing texts.
• Findings offer guidelines for integrating animation into curricula for complex system learning.