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Complete College America, 2023
In this position paper, the authors lay out the imperative for equitable artificial intelligence (AI), highlighting the essential role of access-oriented institutions and calling on technology companies (both large and small), foundations, and local, state, and federal regulators to consult with the newly convened Complete College America Council…
Descriptors: Artificial Intelligence, Computer Uses in Education, Higher Education, Graduation
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Hammersley, Martyn – International Journal of Social Research Methodology, 2021
This paper responds to some recent discussions in the Journal about how interview data can be used. While recognising the value of detailed analysis of the discourse employed in interviews to identify its formal features, it is argued that such analysis is not essential for all the purposes for which interview data can be employed in social…
Descriptors: Interviews, Social Science Research, Language Usage, Discourse Analysis
Regan, Daniel – New England Journal of Higher Education, 2021
A gap exists between the ability to gauge the success of institutions by deploying a relatively simple set of measures typically based upon the federal cohort, versus the ability to monitor the successful (or unsuccessful) progression of the varied students who move through them. Daniel Regan questions which matters more. To gauge the health of an…
Descriptors: Data Use, Decision Making, Academic Achievement, College Students
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Rubin, Andee – Journal of the Learning Sciences, 2020
Teaching students to reason with data is not a totally new enterprise. A small but insistent statistics education community has been studying the process for decades. This commentary provides an introduction to some major themes of that research, in order to provide common ground for conversations between learning sciences researchers and those…
Descriptors: Logical Thinking, Data Use, Statistics, Mathematics Instruction
Neumann, Linda; Hogan, Janis; Morgan, Susan; Maughan, Erin D.; Bartholomew, Kim – National Association of School Nurses, 2018
Chronic absenteeism, commonly defined as missing 10% or more of school days for any reason (excused or unexcused), detracts from learning and is a proven early warning sign of academic risk and school dropout. It is the position of the National Association of School Nurses (NASN) that the registered professional school nurse is an integral member…
Descriptors: School Nurses, Attendance, Student Needs, At Risk Students