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Atadero, Rebecca A.; Paguyo, Christina H.; Rambo-Hernandez, Karen E.; Henderson, Heather L. – European Journal of Engineering Education, 2018
Ongoing efforts to broaden the participation of women and people of colour in engineering degree programmes and careers have had limited success. This paper describes a different approach to broadening participation that seeks to work with all students and develop inclusive engineering identities. Researchers worked with the instructors of two…
Descriptors: Engineering Education, Hierarchical Linear Modeling, College Freshmen, Disproportionate Representation
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Wladis, Claire; Conway, Katherine; Hachey, Alyse C. – Studies in Higher Education, 2017
Research has documented lower retention rates in online versus face-to-face courses. However, little research has focused on the impact of course-level characteristics (e.g. elective versus distributional versus major requirements; difficulty level; STEM status) on online course outcomes. Yet, focusing interventions at the course level versus the…
Descriptors: Online Courses, Comparative Analysis, Educational Attainment, Conventional Instruction
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Itzek-Greulich, Heike; Vollmer, Christian – Journal of Research in Science Teaching, 2017
Students' interest in science declines in secondary school. Therefore, motivating students to become competent and engaged in science topics that are relevant for their everyday lives is an important goal, so they can be better citizens and decision makers with socioscientific issues (e.g., climate change and waste disposal). The present study…
Descriptors: Science Laboratories, Item Response Theory, Hierarchical Linear Modeling, Student Interests
Robinson, Ann; Adelson, Jill L.; Kidd, Kristy A.; Cunningham, Christine M. – Gifted Child Quarterly, 2018
Guided by the theoretical framework of curriculum as a platform for talent development, this quasi-experimental field study investigated an intervention focused on engineering curriculum and curriculum based on a biography of a scientist through a comparative design implemented in low-income schools. Student outcome measures included science…
Descriptors: Talent Development, Low Income Groups, Engineering Education, Quasiexperimental Design