Learning and Educational Technologies (Social Learning and Knowledge Sharing Technologies) (20-00-0773-iv)

Welcome to the (small) website for the lecture on Learning and Educational Technologies (formerly Social Learning and Knowledge Sharing Technologies).

This lecture is offered by the specialists from the knowledge media group at Multimedia Communication Lab. If you are interested, show up on the first lecture where we give detailed information about the expectations and topics covered or in case of questions, do not hesistate to contact us (really, see right side).

Primary course information can be obtained through TUCaN (20-00-0773-iv).

Lecture: Wednesdays 09:50 in S320/5 (starting 16.10.2019)
Exercise: Wednesdays 13:30 in S103/161 (starting 16.10.2019)

Schedule is subject to change! This lecture is not pure traditional slide-based lecture. We will explore some topics together, have discussion sessions and provide sometimes material for self-study instead of lecture, etc.

Learning Objectives

At the end of the semester you will be able …

  • to analyze and design modern applications for knowledge acquisition and learning
  • to decide on information representation (data), design of functionalities (application) and selection of algorithms to support users concerning challenges
  • to consider techniques of adaptation to learners’ needs during design decisions
  • to recapitulate evaluation methods to measure qualities and effects of such systems

Lecture and Exercise Language

Lecture as well as exercise language will be german. The lecture slides are offered in english.

Topic Overview

The diagram shows a rough overview of the topics to be covered during the term (click to enlarge).

Exercises

There will be weekly exercise tasks of different kinds:

  • Discussion of methods or concepts mediated in the lecture “Discuss the advantages or disadvantages of ….”
  • Application of methods or concepts mediated in the lecture “Calculate the F1 measure based on …” “Try to cheat the system for automatic short answer grading.”
  • Deepening of methods or concepts mediated in the lecture “Read the following paper and figure out the main concepts. “Read the following paper and answer the following questions.”
  • Creative extension of applications, methods, concepts mediated in the lecture “Design your own context aware learning application.”

Exercise tasks will be available after the respective lectures in moodle. Exercise tasks delivery will be in digital form in moodle. The exercise tasks will be discusses in the exercise sessions.

Schedule (Preliminary)

Lecture Material - moodle

To provide lecture material, lecture recordings, exercise sheets we use our own moodle platform  https://moodle.docendo.org/course/view.php?id=14 (not to be confused with TU Darmstadt or FB20/ComputerScience Moodle). We will explain the reason in the frist lecture.

For registration sent us an E-Mail at christoph.rensing@kom.tu-darmstadt.de containing the following information:
- Subject: moodle-registration
- First Name
- Last Name
- Matriculation number
- E-Mail address

We will sent you your account information.

Lecture contact

In case of lecture related questions please contact us via email at

christoph.rensing(at)kom.tu-darmstadt.de

Lecturer


Dr.-Ing. Christoph Rensing