Explore constructivist learning theory and its application in STEM education. Examine student ideas and innovative teaching approaches.
Explore constructivist learning theory and its application in STEM education. Examine student ideas and innovative teaching approaches.
This course delves into the implications of constructivism for learning and teaching in science, mathematics, and technology education. Participants will examine constructivist views of learning, research on students' ideas and idea-based interactions, and instructional approaches that take student ideas into account. The curriculum covers an introduction to constructivism, exploration of student ideas, development of constructivist learning environments, and challenges in implementing constructivist perspectives in instruction. Through video lectures, readings, discussions, and assignments, students will gain a deep understanding of how constructivist principles can be applied to enhance STEM education. The course emphasizes practical application, encouraging participants to reflect on their own teaching practices and explore innovative ways to implement constructivist approaches in their educational settings.
4.8
(43 ratings)
4,301 already enrolled
Instructors:
English
21 languages available
What you'll learn
Understand the fundamental principles of constructivism in education
Analyze and interpret students' ideas in STEM subjects
Design and evaluate constructivist learning environments
Apply constructivist approaches to mathematics, science, and technology instruction
Identify and address challenges in implementing constructivist teaching methods
Develop strategies for creating student-centered learning experiences
Skills you'll gain
This course includes:
4 Hours PreRecorded video
1 assignment,4 peer reviews
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course explores the principles of constructivism and their application in mathematics, science, and technology education. It begins with an introduction to constructivist theory, challenging traditional assumptions about teaching and learning. Participants then delve into the nature of student ideas, examining various examples and learning to interpret students' thought processes. The course progresses to explore constructivist learning environments, providing examples and key aspects of these innovative educational settings. Finally, it addresses the challenges of implementing constructivist approaches in real-world educational contexts and offers resources for overcoming these obstacles. Throughout the course, participants engage in reflective activities, peer reviews, and discussions, allowing them to apply constructivist principles to their own teaching practices and develop strategies for creating more effective, student-centered learning experiences in STEM fields.
Course Orientation
Module 1 · 54 Minutes to complete
Module 1: An Introduction to Constructivism
Module 2 · 1 Hours to complete
Module 2: Student Ideas
Module 3 · 2 Hours to complete
Module 3: Helping Students Develop their Ideas
Module 4 · 2 Hours to complete
Module 4: Implementing Constructivist Learning Environments
Module 5 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Science Education and Instructional Systems Design
Dr. David E. Brown serves as an Associate Professor at the University of Illinois Urbana-Champaign, where he specializes in researching the dynamics of instructional interactions in science education. His research employs a complex dynamic systems perspective to examine the social, affective, and conceptual aspects of teaching and learning in various contexts, including classroom instruction, tutoring, and technology-assisted learning environments. Through his course "Constructivism and Mathematics, Science, and Technology Education" on Coursera, he shares his expertise in educational theory and practice. His work particularly focuses on understanding how students learn scientific concepts and developing effective instructional strategies that incorporate modern technological tools. His research contributes significantly to the field of science education by examining how different instructional contexts influence learning outcomes and by applying systems thinking to the design of online educational environments.
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4.8 course rating
43 ratings
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