Covers the essentials of linear regression, focusing on using multiple quantitative explanatory variables to predict a quantitative outcome.
Explores learning, memory, cognitive loads, metacognition, and problem-solving tasks.
Explores memory, learning, cognitive load, and problem-solving strategies to enhance learning and cognitive performance.
Delves into cognitive development, cognitive conflict, and the transition from constructivism to constructionism in education.
Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.
Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
