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Explore the interconnectedness of learning, architecture, and environmental science through innovative teaching methods, scientific experiments, and sustainable design principles. Discover how physical environments impact learning outcomes and environmental awareness. Sponsored by EPA and DOE for high-performance learning environments at VA Tech College of Architecture & Urban Studies.
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The union of Learning, Environmental Science and Architecture The systematized knowledge derived from observation, study and experimentation carried out in order to determine the nature and underlying principles of what is being studied. The art and science of building How can a building support learning about architecture and environmental science?
A School that Teaches Asks questions through itself Science experiments and data collection Reveals its construction and systems A demonstration of environmental principles A connection to the environment
What do Teachers Want? Center for High Performance Learning Environments VIRGINIA TECH COLLEGE OF ARCHITECTURE & URBAN STUDIES Sponsored by: U.S. Environmental Protection Agency U. S. Department of Energy INEGRATION PATTERNS FOR LEARNING TECHNOLOGIES
TEACHINGMODES • Individual • Group Instruction • Collaborative • DESIGNISSUES • Access • Flexibility • Floor Area • Connection “Supporting Spaces”
Four Components of Learning Environments Research Goal A Pattern Language for Integrating Learning Technologies Within the Classroom Physical Boundaries as They Pertain to Occupants’ Visual Performance
Learning Technologies/ The Physical Environment • Variables Influencing the Visual Environment: • Location • Access • Mobility • Layout • Flexibility • Natural Lighting • Artificial Lighting • Orientation
Learning Technologies/ The Physical Environment • Variables Influencing the Visual Environment: • Location • Access • Mobility • Layout • Flexibility • Natural Lighting • Artificial Lighting • Window Treatments • Orientation
Variables Influencing the Visual Environment: • Discipline • Teaching Modes/Activities • Individual Versus Group Learning • Frequency of Use • Physical Access • Visual Access Learning Technologies/Pedagogy
Variables Influencing the Visual Environment: • Discipline • Teaching Modes/Activities • Individual Versus Group Learning • Frequency of Use • Physical Access • Visual Access Learning Technologies/Pedagogy
Variables Influencing the Visual Environment: • Discipline • Teaching Modes/Activities • Individual Versus Group Learning • Frequency of Use • Physical Access • Visual Access Learning Technologies/Pedagogy
Learning Technologies/Occupants • Variables Influencing the Visual Environment: • Number of Students in Learning Groups • Personal Preference • Monitoring • Patterns of Use/ Movement Patterns
Learning Technologies/Occupants • Variables Influencing the Visual Environment: • Number of Students in Learning Groups • Personal Preference • Monitoring • Patterns of Use/ Movement Patterns
Learning Technologies/Occupants • Variables Influencing the Visual Environment: • Number of Students in Learning Groups • Personal Preference • Monitoring • Patterns of Use/ Movement Patterns
Christopher Alexander’s Pattern Language For building construction • Patterns of events • Patterns of space
Fielding-Nair pattern for advisory-based small learning community
Decision-making factors • Personal/individual preferences • Teaching learning modes/activities • Supporting spaces and storage/Spatial proportions • Activity patterns (wet area/demonstration area/lecture area/…) • Comfort with/preferences of learning technologies • Mostly… high flexibility of learning space