Software engineering (SE) and computer science (CS) programs in universities worldwide
are marked by a gender gap, which subsequently translates into a gender gap at the …

The capability of large language models (LLMs) to generate, debug, and explain code has
sparked the interest of researchers and educators in undergraduate programming, with …

Background The motivational climate within a course has been shown to be an important
predictor of students' engagement and course ratings. Because little is known about how …

Resilience is a critical personality trait that allows one to deal with difficulties, learn from
failures, and maintain a positive attitude during task performance. However, it has not been …

This work analyzes whether there is a cognitive bias between the ideal perception of the
skills and the real performance in an introductory physics class, and additionally, whether …

We explore achievement goal orientations, self-efficacy, gender, and prior experience, and
look into their interplay in order to understand their contributions to course performance. Our …

Computing science (CS) classrooms, whether at school or university level, provide a useful
context for examining disparities in participation: particular groups–especially females …

There is persistent underrepresentation of female and ethnic and racial minority students in
computing. While community colleges provide a unique opportunity to increase diversity in …

Previous work has reported on the advantageous effects of prior experience in CS1, but it
remains unclear whether these effects fade over a sequence of introductory programming …

METODE Peneltitian ini adalah studi deskriptif yang menggunakan pendekatan cross-
sectional. Survey dilakukan pada mahasiswa Prodi PGSD Universitas Mataram yang …