Elementary Statistics and Multivariate Statistics (MUVE-STAT): Dr. Matthias Rudolf (#MR1)

Format

Multimedia learning environment

Asynchronous execution during the 2020 summer semester of the ‘Advanced Multivariate Statistics’ course as part of the master’s in ‘Psychology: Human Performance in Socio-Technical Systems’ (lecture and seminar).

Keywords

Statistics, learning environment, multimedia, simulations, interactivity

Link to the module:
https://methpsy.elearning.psych.tu-dresden.de/mediawiki/index.php/Statistische_Grundbegriffe_und_Grundlagen_multivariater_Verfahren

Link to video overview:
https://methpsy.elearning.psych.tu-dresden.de/mediawiki/index.php/Videos

Link to simulation list:
https://methpsy.elearning.psych.tu-dresden.de/mediawiki/index.php/Simulationen_-_Statistische_Grundbegriffe_und_Grundlagen_multivariater_Verfahren

Description

The study of elementary statistics and multivariate statistics often presents major challenges for students from various disciplines. The hurdles increase when students with very different academic backgrounds come together for an interdisciplinary MA course.

The e-learning module MUVE-STAT (Elementary Statistics and Multivariate Statistics) offers a multimedia learning environment where students can gain a practice-oriented and intuitive grasp of methodological knowledge. The content encompasses interactive and multimedia representations of fundamental statistical concepts and the application of multivariate statistics. The course is composed of the following components:

• Introductory texts for each fundamental concept and multivariate statistic
• Videos that present the content in a clear manner
• Interactive computer simulations for independent study of each method, in which the students can adjust the parameters with immediate effect on the results
• Scenarios for each simulation, enabling guided and goal-oriented use of the simulations
• Multiple choice questions with solutions for independent marking

MUVE-STAT can support teachers and students in different bachelor's programs and ensure a successful continuation of studies in an interdisciplinary master's program, such as the ‘Psychology: ‘Human Performance in Socio-Technical Systems’ program at TU Dresden.

Contact

Dr. Matthias Rudolf

Voting ID

#MR1