Stud.IP Uni Oldenburg
Universität Oldenburg
18.09.2021 00:22:06
mtl105 - Practitioner Research in Technology Enhanced Learning (Vollständige Modulbeschreibung)
Originalfassung Englisch PDF Download
Modulbezeichnung Practitioner Research in Technology Enhanced Learning
Modulkürzel mtl105
Kreditpunkte 6.0 KP
Workload 180 h
(
180 hours (self-study: approx. 80 hours; learning activities: approx. 80 hours; participation: approx. 20 hours)
)
Einrichtungsverzeichnis Institut für Pädagogik
Verwendbarkeit des Moduls
Zuständige Personen
Zawacki-Richter, Olaf (Modulverantwortung)
Prinsloo, Paul (Modulverantwortung)
Teilnahmevoraussetzungen
mtl100 Principles, Theory, and Practice of Technology Enhanced Learning
Kompetenzziele
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.
Modulinhalte
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.
Literaturempfehlungen
All course materials will be provided as open education resources (OER).
Links
https://uol.de/mtel/content
Unterrichtssprache Deutsch
Dauer in Semestern 15 weeks Semester
Angebotsrhythmus Modul This module will be offered once every semester.
Aufnahmekapazität Modul unbegrenzt
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
Prüfung Prüfungszeiten Prüfungsform
Gesamtmodul
At the end of the semester.
Students must successfully complete learning activities (PASS/FAIL) throughout the course, as well as regularly participate in discussion forums and group activities. ECTS points will be awarded upon successful completion of the portfolio, which includes the results of all course learning activities (e.g., brief essay, case study, expert interviews, report, reflective learning journal, small group project, debate, bibliography/annotation). Learning activities will be graded as PASS/FAIL. At mid-semester, students will receive a progress report regarding their status in class, along with feedback for improvement. The final examination grade will be assigned to the portfolio submitted by the student at the end of the semester.
Lehrveranstaltungsform Seminar
SWS 4
Angebotsrhythmus SoSe oder WiSe
Workload Präsenzzeit 56 h