English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Besides their average SAT scores and possibly their high school rank, engineering faculty and administrators typically know little about their entering freshmen. This limited knowledge hinders both placement in and content of first year courses. For example, how many entering students took calculus in high school? For how many semesters? What grades did they earn? How does their math background correlate with their college boards or college placement testing? How much have they retained? What was their performance in first semester math courses? How many students have had three or more years of foreign languages? Do they continue that in college? Does that motivate them to study abroad? Where there is a common freshman year, how many students select a different major program than the one they initially were interested in at the time of application? By having the answers to these and similar questions, faculty and administration may be able to change curriculum, advising and support services to better support student learning and success. At the University of Pittsburgh School of Engineering we have been collecting such information about our incoming students’ attitudes, math knowledge, academic history, first year academic performance, retention, and general background through a variety of survey instruments, inventories and placement examinations. These data are maintained in a large database, which allows us to easily extract specific information for assessment or monitoring purposes. This enables us to answer questions about our students and use the information to make more informed curriculum and policy decisions. We present a number of examples here including information on entering student attributes, language and math background, departmental choice and performance.

What Do We Know About Our Entering Students And How Does It Impact Upon Performance?