Oxford Events, the new replacement for OxTalks, will launch on 16th March. From now until the launch of Oxford Events, new events cannot be published or edited on OxTalks while all existing records are migrated to the new platform. The existing OxTalks site will remain available to view during this period.
From 16th, Oxford Events will launch on a new website: events.ox.ac.uk, and event submissions will resume. You will need a Halo login to submit events. Full details are available on the Staff Gateway.
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
