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20.01.2022 03:18:29
mtl105 - Practitioner Research in Technology Enhanced Learning (Complete module description)
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Module label Practitioner Research in Technology Enhanced Learning
Module code mtl105
Credit points 6.0 KP
Workload 180 h
180 hours (self-study: approx. 80 hours; learning activities: approx. 80 hours; participation: approx. 20 hours)
Institute directory Department of Educational Sciences
Applicability of the module
Responsible persons
Zawacki-Richter, Olaf (Module responsibility)
Prinsloo, Paul (Module responsibility)
mtl100 Principles, Theory, and Practice of Technology Enhanced Learning
Skills to be acquired in this module
At the end of this course, students should be able to:
  1. Explain the rationale behind major research paradigms in the social sciences.
  2. Identify and explore major research areas in open and distance learning (ODL).
  3. Define a research question, carry out a literature search and state a hypothesis.
  4. Plan and manage educational research, including setting research priorities.
  5. Choose a research design that is appropriate for a defined research question.
  6. Collect and analyse qualitative and quantitative data.
  7. Analyse and interpret qualitative and quantitative data.
  8. Report on research findings and knowledgeably discuss the qualitative and quantitative research process.
Module contents
This course will provide an introduction to a variety of quantitative and qualitative research methods used in the social sciences as applied in online distance education and technology enhanced learning. Emphasis will be on planning and designing research and evaluation projects, choosing appropriate methods of investigation, and learning the practical aspects of quantitative and qualitative data collection and analysis. Major research paradigms will be explored, and an overview of the various research fields in technology enhanced learning will be provided. The Statistical Package for the Social Sciences (SPSS) will be used to manage and analyze data. Skills in collecting quantitative and qualitative data and in analyzing, interpreting, and reporting the results of empirical investigations will be developed.
Reader's advisory
All course materials will be provided as open education resources (OER).
Language of instruction German
Duration (semesters) 15 weeks Semester
Module frequency This module will be offered once every semester.
Module capacity unlimited
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Pflicht / Mandatory
Lehr-/Lernform / Teaching/Learning method Internet-based discussion forums, group activities, learning activities, webinars, selfstudy, online seminars with guest experts
Vorkenntnisse / Previous knowledge Proficiency in internet and Microsoft Office use; self-organization skills
Examination Time of examination Type of examination
Final exam of module
At the end of the semester.
Course type Seminar
Frequency SoSe oder WiSe
Workload attendance 56 h