A computational model of accelerated future learning through feature recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6095 LNCS, Issue PART 2, 2010, Pages 368-370

  Li, Nan ^a   Cohen, William W ^a   Koedinger, Kenneth R ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

accelerated future learning; learner modeling

Indexed keywords

ACCELERATED FUTURE LEARNING; COMPUTATIONAL MODEL; CONTROLLED SIMULATION; ERROR PATTERNS; FEATURE RECOGNITION; INSTRUCTIONAL TREATMENT; LEARNER MODELING; LEARNING MECHANISM; LEARNING OUTCOME; LEARNING PROCESS; LEARNING STRATEGY; MACHINE LEARNING TECHNIQUES; MODEL VARIATION; PRIOR KNOWLEDGE; ROBUST LEARNING; SPEED-UPS;

COMPUTER AIDED INSTRUCTION; COMPUTER SIMULATION; ERRORS;

LEARNING SYSTEMS;

EID: 77955877437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13437-1_73     Document Type: Conference Paper

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