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Shum, Simon Buckingham; Sándor, Ágnes; Goldsmith, Rosalie; Bass, Randall; McWilliams, Mindy – Journal of Learning Analytics, 2017
When used effectively, reflective writing tasks can deepen learners' understanding of key concepts, help them critically appraise their developing professional identity, and build qualities for lifelong learning. As such, reflective writing is attracting substantial interest from universities concerned with experiential learning, reflective…
Descriptors: Reflection, Writing Assignments, Educational Research, Data Collection
McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
Sao Pedro, Michael A.; Gobert, Janice D.; Baker, Ryan S. – Grantee Submission, 2014
We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated…
Descriptors: Automation, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Data Collection
Fagot, Beverly I.; Hagan, Richard – 1985
Covert checks of observational methodology reveal declines in reliability of observations. This appears to be particularly true when complex codes are used to track social interaction. The present study was undertaken to see whether reliability could be maintained through a combination of technological advancements and the development of improved…
Descriptors: Automation, Classroom Observation Techniques, Data Collection, Reliability

Abbey, Louis M. – Journal of Dental Education, 1991
The dental profession can contribute to effective computer-based decision support through developing data standards and a comprehensive computerized patient record system that can be integrated with evolving health care decision support networks. (DB)
Descriptors: Automation, Computers, Data Collection, Decision Making