NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Akbuga, Enes; Havan, Selim – International Journal of Mathematical Education in Science and Technology, 2022
Motivation to learn attracts many researchers in educational contexts. In this study, we propose an instrument tailored towards specifically measuring student motivation in calculus courses at higher education. We outline an extensive instrument development process that was built on (Benson's 1998. Developing a strong program of construct…
Descriptors: Learning Motivation, Student Interests, Calculus, Mathematics Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Taylor, Robin T.; Bishop, Pamela R.; Lenhart, Suzanne; Gross, Louis J.; Sturner, Kelly – CBE - Life Sciences Education, 2020
We describe the development and initial validity assessment of the 20-item BioCalculus Assessment (BCA), with the objective of comparing undergraduate life science students' understanding of calculus concepts in different courses with alternative emphases (with and without focus on biological applications). The development process of the BCA…
Descriptors: Test Construction, Mathematics Tests, Calculus, Test Validity
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Noroozi, Omid, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
Education, science, and technology disciplines are closely and extensively connected in all formats and levels. The outbreak of COVID-19 has further squeezed this interconnection where the delivery of education in different scientific fields of studies at all education levels is almost impossible without the presence of technology. Today, there is…
Descriptors: Education, Sciences, Technology, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
Guner, Necdet – Educational Research and Reviews, 2013
The aim of this study was to develop a tool to measure levels of mathematical knowledge gained in high school, as perceived by incoming engineering students. The study included 657 engineering students in the 2011-2012 academic year. Factor analysis was used to obtain a scale consisting of 47 items (Cronbach Alpha coefficient, 0.975). The…
Descriptors: Engineering Education, Self Evaluation (Individuals), College Freshmen, Knowledge Level