On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, 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
