Ph.D. Thesis 2019

Load-inducing factors in instructional design: Process-related advances in theory and assessment

Thumb ticker sm maria wirzberger profil
Software Workshop
Tenure-Track Professor & Guest Scientist

This thesis addresses ongoing controversies in cognitive load research related to the scope and interplay of resource-demanding factors in instructional situations on a temporal perspective. In a novel approach, it applies experimental task frameworks from basic cognitive research and combines different methods for assessing cognitive load and underlying cognitive processes. Taken together, the obtained evidence emphasizes a process-related reconceptualization of the existing theoretical cognitive load framework and underlines the importance of a multimethod-approach to continuous cognitive load assessment. On a practical side, it informs the development of adaptive algorithms and the learner-aligned design of instructional support and thus leverages a pathway towards intelligent educational assistants.

Author(s): Wirzberger, Maria
Year: 2019
Bibtex Type: Ph.D. Thesis (phdthesis)
Electronic Archiving: grant_archive
School: TU Chemnitz
URL: http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa2-327030

BibTex

@phdthesis{Wirzberger2019Load-inducing,
  title = {Load-inducing factors in instructional design: Process-related advances in theory and assessment},
  abstract = {This thesis addresses ongoing controversies in cognitive load research related to the scope and interplay of resource-demanding factors in instructional situations on a temporal perspective. In a novel approach, it applies experimental task frameworks from basic cognitive research and combines different methods for assessing cognitive load and underlying cognitive processes. Taken together, the obtained evidence emphasizes a process-related reconceptualization of the existing theoretical cognitive load framework and underlines the importance of a multimethod-approach to continuous cognitive load assessment. On a practical side, it informs the development of adaptive algorithms and the learner-aligned design of instructional support and thus leverages a pathway towards intelligent educational assistants.},
  school = {TU Chemnitz},
  year = {2019},
  slug = {wirzberger2019load-inducing},
  author = {Wirzberger, Maria},
  url = {http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa2-327030}
}