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Course

CS-411: Digital education

Lectures in this course (81)

Experimental Design and Analysis

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Statistical Mediation and Moderation

Explores statistical mediation, moderation, ANOVA, and hypothesis testing.

Extended Reality: Augmented, Virtual, Mixed, and Metaverse

Covers Augmented Reality, Virtual Reality, Mixed Reality, and the Metaverse, exploring their applications and immersive nature.

Digital Skills: Computational Thinking and Tools

Explores digital tools, computational thinking, coding, and data analysis in education.

Learning Analytics: Classroom Analytics

Explores adaptive instruction, cognitive diagnosis, and handwriting difficulty analysis using machine learning models.

Memory & Learning

Explores memory, learning, cognitive load, and problem-solving strategies to enhance learning and cognitive performance.

Constructivism: Piaget, Skinner, Vygotsky

Delves into Piaget, Skinner, Vygotsky's theories, schemas, and 'productive failure'.

Constructivism: Cognitive Conflict and Learning Mechanism

Delves into cognitive conflict as a key learning mechanism in constructivism, emphasizing careful data set design and reflection.

Inquiry Learning: Simulations & Hypotheses

Delves into inquiry-based learning through simulations, emphasizing hypothesis generation, experiment design, and result interpretation.

Mastery Learning: Instructional Design

Explores mastery learning, instructional design, adaptive instruction, and intelligent tutoring systems.

Collaborative Learning: Effectiveness & Pitfalls

Delves into the effectiveness and challenges of collaborative learning, emphasizing the importance of interactions and design.

Collaborative Learning Interactions

Examines the key interactions for effective collaborative learning and the design strategies to enhance teamwork.

Measuring Learning: Experimental Design

Explores experimental design for measuring learning outcomes and discusses biases, group equivalence, and within-subjects designs.

Introduction to Digital Education

Covers online education platforms, simulations, teamwork support, and more in digital education.

Learning & Memory

Explores learning, memory, cognitive loads, metacognition, and problem-solving tasks.

Constructivism

Delves into cognitive development, cognitive conflict, and the transition from constructivism to constructionism in education.

Mastery Learning and Instructional Design

Explores mastery learning, behaviorism, and instructional design, emphasizing personalized instruction and the effectiveness of Intelligent Tutoring Systems.

Designing Experiments and Measuring Learning

Explores experimental design challenges in social sciences, emphasizing hypothesis formulation, variable control, and bias mitigation.

Social Cognition

Delves into social cognition in education, emphasizing collaborative learning benefits, pitfalls, and future trends.

ANOVA & Moderation

Explores ANOVA, moderation, and statistical analysis methods in digital education, emphasizing their significance in educational research.