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 PackWeb Portal, Teaching Resource 2023Teaching Pack: Building Multimedia Learning Experiences
This teaching pack is intended to support multimodal teaching and learning and was produced and …
This teaching pack is intended to support multimodal teaching and learning and was produced and curated by the Media Hub at the Center for Health Decision Science (CHDS) at the Harvard T.H. Chan School of Public Health in collaboration with the Global Health and Education Learning Incubator (GHELI) at Harvard University. It features a collection of briefs and perspectives containing short summaries and actionable tips, visual tools and multimedia examples, a working paper, and featured…
Culture/Society | Education/Labor | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Conceptual Mapping | Graphics/Visualization | Instructional Design | Pedagogy | Assessment -
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 -
Teaching PackWeb Portal, Teaching Resource 2018Teaching Pack: Teaching Prototypes for Decision Analysis
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for …
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for Health Decision Science (CHDS) Media Hub, reflect experiments to augment brick and mortar teaching with multimedia materials that emphasize visualization of basic concepts. The first video introduces decision making under uncertainty, and illustrates the use of probability and odds to quantitatively express uncertainty. The second and third videos introduce probability revision visually and analytically, showing how an initial probability is…
Probability/Bayes | Test Performance | Value of Information | Chronic Disease/Risk | Health Systems | Health/Medicine | North America | Europe | High School | College | Graduate | Doctoral | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy