Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 2023Cognitive Theory of Multimedia Learning
The cognitive theory of multimedia learning (CTML) draws together various theories of learning and cognition …
The cognitive theory of multimedia learning (CTML) draws together various theories of learning and cognition and applies them to the process of learning through multimedia instruction. At its core, the theory asserts that people learn more effectively from words and graphics than from words alone. While numerous investigators have contributed to this work, we have found Mayer’s (2009) empirically derived principles of multimedia design to be the most relevant and useful for instructional designers and…
Culture/Society | Education/Labor | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Instructional Design | Pedagogy -
Tutorial/PrimerPublication, Teaching Resource 2023Cognitive Load Theory: Learning & Instructional Design
How do we process new information and construct knowledge in our brains? What does “working …
How do we process new information and construct knowledge in our brains? What does “working memory” have to do with learning? What is cognitive load theory and how does it inform the design of learning experiences and educational materials? Cognitive load theory (CLT) is a theory of learning that is based on what we know about how learners process new information in working memory and construct knowledge in long-term memory. In this basic primer, we…
Culture/Society | Education/Labor | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Instructional Design | Pedagogy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Building Decision Trees
In this teaching pack on Building Decision Trees, students learn how to structure the elements …
In this teaching pack on Building Decision Trees, students learn how to structure the elements (e.g., objectives, alternatives, probabilities, and outcomes) of a problem into a decision tree model, conduct a baseline analysis of the expected value of different alternatives, assess the value of perfect information, and perform sensitivity analyses. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Integrate the core elements (alternatives,…
Decision Analysis | Infectious Diseases | Health/Medicine | Global | College | Graduate | Conceptual Mapping | Graphics/Visualization | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Probability Revision and Bayes
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications …
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes theorem, and gain practical skills in performing probability revision. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, sample exercises, and additional support. Learning Objectives Demonstrate a conceptual understanding of Bayes’ theorem and probability revision. Differentiate between test characteristics (e.g., probability of positive test given…
Probability/Bayes | Test Performance | Decision Analysis | Environmental Health | Health/Medicine | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Using Test Information I
In this teaching pack on Using Test Information I, students review the performance of a …
In this teaching pack on Using Test Information I, students review the performance of a dichotomous test and the relationship between sensitivity and specificity, calculate likelihood ratios to describe test performance, and conduct probability revision using the odds-LR form of Bayes. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Calculate four conditional probabilities describing the performance of a dichotomous test, and explain the…
Probability/Bayes | Test Performance | Decision Analysis | Child/Nutrition | Health/Medicine | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy