A Hybrid Evolutionary Algorithm based on Adaptive Mutation and Crossover for Collaborative Learning Team Formation in Higher Education.
Virginia YannibelliAnalía AmandiPublished in: IDEAL (2017)
Keyphrases
- higher education
- team formation
- adaptive mutation
- collaborative learning
- genetic algorithm
- premature convergence
- mutation operator
- genetic algorithm ga
- differential evolution
- crossover and mutation
- evolutionary algorithm
- online learning
- multi agent
- crossover operator
- technology enhanced
- distance learning
- control parameters
- learning outcomes
- learning in higher education
- learning technologies
- computer mediated
- content analysis
- e learning
- genetic programming
- learning process
- fitness function
- particle swarm
- computer supported collaborative learning
- neural network
- tertiary education
- initial population
- knowledge building
- optimization method
- learning management systems
- convergence speed
- blended learning
- open university
- multi objective
- simulated annealing
- hybrid algorithm
- mobile learning
- student learning
- particle swarm optimization
- differential evolution algorithm
- artificial neural networks
- solution space
- search algorithm
- instructional strategies
- pso algorithm
- metaheuristic
- faculty members
- convergence rate
- vocational education