OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
There has been a surge in experience sampling, ecological momentary assessment, diary, and multimodal research studies, in which students and teachers are followed intensively within a relatively short time-window. Technology assisted data-collection techniques such as electronic self-report questionnaires, facial emotion recognition algorithms, and wearable technology for physiological measurement enable researchers to collect detailed situation-specific data. Such data can be analysed using multilevel and dynamic structural equation models, using the Bayesian estimator. Going beyond many studies to date, I in this talk focus on the importance of multiple-reporter data (student-reports, teacher-reports and observations) and linkages with objective data (situational executive functioning). I will illustrate the talk with key findings from a range of intraindividual studies, and interpret these within a frame of personalized (individualized) learning.
This seminar is part of the Child Development and Learning (CDL) Seminar Series.
Join in-person or on Teams: teams.microsoft.com/meet/3799219398382?p=2e2iFubdvLDs8dvPmG
