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Three-dimensional spatial skills are a cognitive ability that have been shown to predict success in engineering. Michigan Tech has been offering a course to help students improve their 3-D spatial skills for more than two decades. In previous studies, students who failed a rotations test and enrolled in the course performed better on a number of measures when compared to those who failed the rotations test and did not enrol in the course. A valid criticism of these studies was that the two groups were self-selected. Beginning in 2009, the spatial skills course became a requirement for students who initially failed the rotations test. This paper reports on the results from a longitudinal study conducted to determine the impact of the spatial skills course when no self-selection is involved. [ABSTRACT FROM AUTHOR]

Background: Mindsets are based on two basic assumptions: some people think that their intellectual abilities can be developed through hard work and instruction (i.e., a growth mindset), whereas others believe that nothing can change their level of intellectual ability (i.e., a fixed mindset). The association between mindsets and academic achievement has been examined in different academic subjects, such as biology and math. However, no previous study has examined the effects of language learning mindsets (LLMs) and math mindsets (MMs) on academic success in an English medium instruction (EMI) setting in which English, rather than the first language of the students, is used for teaching content (e.g., mechatronics engineering). Purpose/Hypothesis: This study explores the relationship between Turkish mechatronics engineering undergraduate students' domain‐specific mindsets, LLMs and MMs, and their academic success. Design/Method: Student test scores for English medium and first‐language medium courses were collected from fourth‐year students studying mechatronics engineering (n = 68) at a public university in Turkey. Students also completed the LLM and MM inventories. Results: Regression analyses revealed that growth LLM and MM were positive predictors of EMI and Turkish medium of instruction (TMI) academic success, whereas fixed LLM and MM were negative predictors of EMI and TMI academic success. Conclusions: In both EMI and TMI courses, a growth mindset in math and language learning can profoundly predict students' academic achievement in a mechatronics engineering program. We argue that domain‐specific mindsets can effectively explain the self‐theories of intelligence and achievement. [ABSTRACT FROM AUTHOR]

In 2011, the School of Engineering at Pontificia Universidad Católica de Chile launched an alternative admission program to attract talented high-school students from low-income families who would not be accepted by the conventional admission process but have otherwise shown outstanding academic results at the high-school level. Applicants came from socioeconomically disadvantaged backgrounds, and were admitted through a formal process that looked for personal skills beyond standardized test results. Students accepted through the alternative admission program showed promising academic gains after their first year of college, a result that has repeated across cohorts. Proper academic and psychological support was needed to level out the disparities in students’ prior knowledge of science and math fundamentals. Future work is required to explore the principal factors affecting academic performance of underrepresented students who are not part of the schools’ dominant culture. [ABSTRACT FROM AUTHOR]