The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the provisional data for…

Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…

The National Center for Education Statistics (NCES), within the U.S. Department of Education (ED), Institute of Education Sciences, is requesting clearance for data collection materials and procedures for the full-scale collection of the 2012/14 Beginning Postsecondary Students Longitudinal Study (BPS:12/14) first follow-up, including the student…

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

Microcomputer based laboratory activities have been suggested to have a number of benefits in science education. However, their implementation produces mixed results, and student perception data have in the past yielded responses that are negative regarding the technology. This work presents a case study of three first year undergraduate chemistry…

The introduction of the subject Mathematical Literacy (ML) as part of the education reform process, led to the development of many large scale in-service programmes designed to train practising teachers to teach the new subject. The purpose of the study is to examine the challenges associated with providing in-service training for teachers of ML,…

This chapter describes the development of a state-level student tracking system that enables the state and institutions to follow various cohort types of students across institutional boundaries. The system was developed by the Policy Research and Data Warehousing section of the State Council of Higher Education for Virginia (SCHEV). SCHEV is the…

The Center for the Advancement of Engineering Education (CAEE) began in January 2003 with a grant from the National Science Foundation (ESI-0227558). Two NSF Directorates, Engineering and Education and Human Resources, oversee the Center's work. The Academic Pathways Study (APS) is part of the Scholarship on Learning Engineering element of the…