learning

COMP 585/185: Serious Games learning

Experiential learning used to build mental models in long-term memory • Extend learning by using models to create hypotheses and run simulations learning

Goal directed Immediate feedback Repeated experiences Interpreting experiences and analyzing failures Sharing and mentoring Good learning Experiences

What is science about? • Deducing unknown rules • How do you play a game? • Deduce unknown rules • What is the scientific method? • Make a hypothesis • Test it • How do you beat a boss? • Guess what might beat him • Test it Learning the Scientific Method Steinkuehler

James Gee Learning properties of games

Learning how rules can be used • Both built-in rules and emergent properties for one’s advantage • Problem solving with self-interest (self-established goals) to accomplish goals to which one is personally and emotionally attached • Emotional attachment increases learning Psyching out rules

Control • Movements and actions at a fine-grained detailed level gives rise to embodied intimacy • Single avatar: personal attachment or power and vision • Broader reach: less intimate, more powerful microcontrol

Beneficial cognitive effects Body extends as far as you have control Can get it both from avatar or god-view Importance of microcontrol

Mechanisms • Affordance: needed tools or resources • Effectivity: skill to use • Learning is finding and using the matches • Interpret world to find • See the artifacts • Unlike the real world, the novice gets to have skills Effectivity-affordance matches

Learning from concrete experience Extrapolating to more general and abstract Need both concrete experience and abstract view and opportunities to interpret Models: extract key components and deep meaning Games: remove eye-candy to reach concepts Simulations differ in veracity and importance Modeling

Designed story: player-enacted trajectory Trajectory makes it different and personal Replayability Player-enacted stories

learning

learning

Presentation Transcript

Learning and Lifelong learning

Learning About Learning

Reinforcement Learning : Learning Algorithms

Learning E-Learning: Introduction

Blended Learning , Better Learning

Learning and Learning LiveCode

Learning styles Learning Preferences Learning Strategies

HUMAN LEARNING AND LEARNING

Learning about learning

Machine learning: Unsupervised learning

Learning about learning

Mobility + Learning = Mobile Learning

Active Learning = Deep Learning

Learning and Learning Disabilities

Learning Unit – learning consultant

Learning inside, learning outside

Learning Teaching Teaching Learning

Learning Technologies E-Learning