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Direct linkEsther Ulitzsch; Qiwei He; Steffi Pohl – Grantee Submission, 2024
This is an editorial for a special issue "Innovations in Exploring Sequential Process Data" in the journal Zeitschrift für Psychologie. Process data refer to log files generated by human-computer interactive items. They document the entire process, including keystrokes, mouse clicks as well as the associated time stamps, performed by a…
Descriptors: Educational Innovation, Man Machine Systems, Educational Technology, Computer Assisted Testing
Thomas, Ronald S. – Principal Leadership, 2010
Despite all the speeches, articles, and meetings about data-based instructional decision making, the author's observation after more than 20 years of working with middle and high school teams is that teachers and administrators often make important instructional decisions on the basis of historical precedent, anecdotal information, experience, or…
Descriptors: Decision Making, Data Processing, Decision Making Skills, Management Information Systems
Download full textGomathi, C.; Moorthi, M.; Duraiswamy, K. – International Education Studies, 2008
Web Access Pattern (WAP), which is the sequence of accesses pursued by users frequently, is a kind of interesting and useful knowledge in practice. Sequential Pattern mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of…
Descriptors: Database Design, Database Management Systems, Coding, Computer System Design
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
