TEKING

Technology-Enhanced knowledge and interaction group

Main investigator:
Area:
Information and communication technologies
Area of specialization:
Education and ICT, Internet technologies and artificial intelligence
Affiliation center:
Faculties
UNESCO codes:
120310, 120317, 580106
Collaborates with:
e-Learn Center

  • ELearning
  • E-assessment
  • Human-Computer Interaction

The Technology-Enhanced Knowledge and Interaction Group (TEKING) focuses its research on knowledge technologies and their application in the knowledge society, placing special emphasis on technology-enhanced learning and e-assessment processes, following an interdisciplinary methodology approach.

More specifically, it tackles the:

  • Theoretical study of knowledge representation systems, within the field of artificial intelligence; more specifically, research into knowledge representation systems and reasoning for modelling formal intelligent systems.
  • Study of user interaction and experience with intelligent systems and with technology-enhanced learning and e-assessment tools and resources; in particular, the analysis and display of technology-enhanced learning and e-assessment data. 
  • Analysis, design, development and assessment of intelligent systems in the context of knowledge engineering and application of knowledge technologies to the network society in general, and to technology-enhanced learning and e-assessment in particular.
  • Analysis, design, development and assessment of tools and systems aimed at detecting the authorship of learning activities and at identity verification in e-learning environments.

Technology-enhanced Learning and Assessment

This research line focuses on the analysis, design, development and assessment of e-learning and e-assessment systems to evaluate students’ ability to follow along and level of skills acquisition. The design of tools and resources and their application in educational contexts are analysed to assess their influence and impact on the learning process.

Human-computer interaction

This research line includes two sub-lines: 

1) Techniques for analysing data and designing their display so that they are useful for the end users, with special interest in technology-enhanced learning and e-assessment processes. 
2) Analysis of the design of tools and resources for e-learning and e-assessment with the aim of enhancing user experience.

Knowledge Representation and Engineering

This research line focuses on the theoretical study of knowledge representation systems, within the field of artificial intelligence; more specifically, research into knowledge representation systems and reasoning for modelling formal intelligent systems.