Open AccessUsing Institutional Data to Inform Course and Curriculum Planning
Author(s) -
Stephanie Hazel,
Angela Detlev
Publication year - 2013
Publication title -
innovations in teaching and learning conference proceedings
Language(s) - English
Resource type - Journals
ISSN - 2379-8432
DOI - 10.13021/g8qp5x
Subject(s) - ask price , plan (archaeology) , course (navigation) , curriculum , computer science , set (abstract data type) , mathematics education , data set , data science , medical education , psychology , pedagogy , artificial intelligence , engineering , geography , business , finance , medicine , archaeology , aerospace engineering , programming language
Faculty often ask what they can learn about their students before the semesterbegins so that they can plan instruction that will better engage students inlearning. While most individual-level data are protected, Mason makes availablea great deal of information through student-level data, statistical profiles, theCommon Data Set, student surveys, and learning outcomes assessment reports.We will guide participants through a brief case study and discuss the implications,limitations, and inferences that can be reasonably drawn from institutional data.