E-Tutor Data & Knowledge Engineering

  • Eichinger, Christian (Researcher)
  • Karlinger, Michael (Researcher)
  • Nitsche, Georg (Researcher)
  • Schrefl, Michael (PI)

Project: Funded researchFederal / regional / local authorities

Project Details

Description

E-tutor is a web-based system to support students in learning and practicing the topics taught in courses on data modeling and data & knowledge engineering. E-tutor shall comprise online course materials together with exercises, which are placed appropriately within the online materials. Students use the system in that they study the assigned lessons in the online materials and check their knowledge in that they submit their solutions to provided exercises; e-tutor checks the solutions immediately and gives feedback on mistakes and possible corrections or stores the solutions and grades them.
StatusFinished
Effective start/end date01.12.200328.02.2006

Fields of science

  • 102015 Information systems
  • 102030 Semantic technologies
  • 502050 Business informatics
  • 102010 Database systems
  • 102035 Data science
  • 502058 Digital transformation
  • 503008 E-learning
  • 509026 Digitalisation research
  • 102033 Data mining
  • 102 Computer Sciences
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102016 IT security
  • 102025 Distributed systems

JKU Focus areas

  • Digital Transformation
  • Projektvorstellung E-Tutor DKE

    Eichinger, C. (Speaker) & Karlinger, M. (Speaker)

    07 Jun 2005

    Activity: Talk or presentationOther talk or presentationunknown