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- ASEE 2021 Gulf-Southwest Annual Conference
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Ron D. Cooper, University of the Incarnate Word; Okan Caglayan, University of the Incarnate Word
. The proposed algorithm uses a hyperspectralimaging technique to obtain the electromagnetic spectrum information from the pixels in the UVimage to identify the wavelength range. Hyperspectral imaging measures the spatial and spectralcharacteristics of an object by imaging it at different wavelengths. The wavelength range extendsbeyond the visible spectrum and covers ultraviolet (UV) to long wave infrared (LWIR)wavelengths. A hyperspectral imaging sensor acquires several numbers of images with narrowand neighboring wavelengths within a specified spectral range. To visualize and understand theobject being imaged, it is useful to represent the data as a 2-D image by using color schemes.The proposed algorithm represented the output of the
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- ASEE 2021 Gulf-Southwest Annual Conference
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Margo Cousins, University of Texas at Austin; Laura Suggs, University of Texas at Austin; Mia K. Markey, University of Texas at Austin
CUReS Cancer weekly summer seminars; maps global exchange path- ways to expand access to study abroad; partners with industry & clinical sponsors in the Capstone De- sign Program; and leads ABET engineering and SACSCOC regional accreditation activities for the BME department. Her academic interests include implementing and measuring psychosocial interventions that have been demonstrated to improve success for targeted at-risk populations, such as social-belongingness, growth mindset, and self-efficacy. Ms. Cousins holds a Master of Arts in Higher, Adult, and Lifelong Education (HALE) from Michigan State University, and a Bachelor of Science in Biology from Washing- ton State University. She has worked in the
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Tracy Anne Hammond, Texas A&M University; Karan Watson P.E., Texas A&M University; Samantha Ray, Texas A&M University; Robert Harold Lightfoot Jr, Texas A&M University; Drew Steven Casey, Texas A&M University; Shawna Thomas, Texas A&M University
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Diversity
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- ASEE 2021 Gulf-Southwest Annual Conference
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Monikka M. Mann, Texas Tech University; George Tan, Texas Tech University
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Diversity
collaborativelearning led to higher levels of student engagement, self-efficacy and desire to complete a STEM majorwhile lowering the sense of competition among the students [33]. This means that cooperative learningcan encourage student academic performance during instructional activities. This means thatcooperative learning can encourage student academic performance during instructional activities. Inaddition to self-efficacy, collaborative learning has positive impacts on student knowledge buildingand ultimately (possibly most importantly) improved course grades [34]. This study, conducted on agroup of 513 students, 16% of whom were female, showed through the use of multivariate analysis Proceedings of the 2021 ASEE Gulf-Southwest
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- ASEE 2021 Gulf-Southwest Annual Conference
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Nina Kamath Telang, University of Texas at Austin; Nisha Abraham, University of Texas at Austin; Althea Louise Woodruff, University of Texas at Austin
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Diversity
mental health and academic success for college students.33,34,35,36 Anecdotally, it was the authors’ experience in working with students in each speciality area (instruction of engineering content, mental health counseling and academic counseling), that students often view these components as separate and disconnected. However, it is our view that these aspects are closely interconnected and can have a cyclical effect, i.e. increasing students’ awareness and use of strategies that improve mental health positively impact academic performance,33, 35 and using effective organizational and learning strategies improve students’ academic success and therefore their self-efficacy, motivation and overall mental health.34, 36 Starting