Methods & Techniques
SMILE research and development covers the following three interrelated areas:
- Understanding how ICT, student models, learning theories, and other issues can be combined and applied to enhance learning.
- Design and development of personalized recommendations and feedback (visualizations, cognitive, affective, motivational) to strengthen students’ engagement, motivation, self-regulation, skills, performance, collaboration, and other desirable outcomes.
- Implementation and evaluation of effective personalized interactive mobile learning systems to support students and lifelong learners during formal or non-formal/informal educational context.
Coping the educational problems we also consider cultural, gender and inclusive issues.
We combine techniques from the following research fields:
- ICT: Internet of Things (IoT), Wireless Mobile & Sensor Networks, Social Networks, Cloud
Computing, Mobile/Pervasive/Ubiquitous Computing, Data Mining, Human-Computer Interaction, Visualizations, Affective Computing, Business Games, Serious Games and Simulations,
Information Systems, Technology Adoption & Innovation, Artificial Intelligence, Security, etc. to support students and lifelong learners during formal or
non-formal/informal educational context.
- Quantitative Techniques: Modeling, Operations Research, Statistical Analysis, Decision Making, Marketing Methods, Learning Algorithms, Finance & Economics, etc.
- Learning Strategies: Collaborative & Social, Motivational, Self-Regulated, Self-Directed & Autonomous, Game-based, Authentic, Situated, Experiential, Problem-based, Project-based, Inquiry-based, Discovery & Exploration, Critical Thinking, Reasoning, Evaluation, Decision-Making, Creativity and Innovation, Learning to Learn, etc.
- Learner Models: Personality, Emotions, Neuroscience, Socio-Culture, Gender, etc.
