Finally out: Our (w/ Carolin Hahnel, Frank Goldhammer) example on using theoretical hypotheses on mental processes to select indicators and draw inferences from #ProcessData. Example on decisionmaking in #websearch-tasks. @dipf_aktuell@LEAD_GradSchool
A new article by Stephen Provasnik in the Large-Scale Assessments in Education Journal explores the major applications for and challenges of using #processdata and #logfiles in a new age of #digitalassessment. To read the full article:
#LSAE#ISLA
We're inviting research proposals that set a foundation for the interpretation and use of process data in international assessment for a new volume of our #ResearchforEducation series. Submit proposals by Monday 31 May 2021:
#ProcessData#ILSA#CBA
From log data to valid inferences – Theory-based construction of process indicators: Looking forward to #BeyondResults2021 workshop @dipf_aktuell, starting Thu, 30th September. Stay tuned to our Twitter channel next week for more. Info:
#ProcessData#ILSA
Whether you're looking to better use #microservices, #RPA or #processdata in 2021 or just want to learn emerging #processautomation use cases, our experts covered it all in our 2020 retrospective and 2021 outlook:
Want to better understand how students are finding the right answers? Learn how #ProcessData is allowing educators to tap into #student thought processes during #assessment.
Would you like to be a part of our next #ResearchforEducation series? We invite proposals that set a foundation for the interpretation and use of process data in international assessment. Apply by Monday 31 May 2021:
#ProcessData#ILSA#CBA
The #BeyondResults workshop last year focused on analyzing log file and process data from international large-scale assessments in education. You can watch the workshops and dive into the materials here: @DIPF_en#ProcessData#LSAE#ILSA
In a recent article in JEM, Xiong et al. propose a sequential reservoir method to extract meaningful features from process data. The proposed method is evaluated using both simulated and empirical data.
Learn more: #ProcessData