barriers to entry and participation. Our work can be of value to others who are interested in designing a program that combines theoretical depth in both mathematics and computer science with practical applicability along with a focus on diversity and inclusivity. I. IntroductionThe field of computing is developing at a rapid pace, and in particular, the field of Data Science has beengaining popularity due to its importance in the current era of artificial intelligence and big data [1, 2].The growth in the amount of available data, computational resources, and improved algorithms hasresulted in the blossoming of Data Science in many domains [3, 4].In healthcare, Data Science will continue to
highlights the need forfurther research into how semantic diversity and synthetic data augmentation can optimizetraining datasets and impact model performance.Keywords: Automated formative feedback, Complex problem-solving, Engineering Design,Large Language ModelsIntroductionComplex problem-solving skills (CPS) are key to meeting the demands of engineering graduates’future roles [1]. Developing these skills requires frequent practice in a variety of authentic andopen-ended complex problems [2, 3]. Despite its critical role in education, assessing CPSeffectively remains a significant challenge. Jonassen highlights the assessment of problem-solving skills as a notably weak area in instruction, emphasizing that evaluations should gobeyond the student’s
Committee(SAC) was deliberating on future priorities for research and development. The SAC isresponsible for oversight of the State’s Science and Technology Plan, a required component inthe submission of proposals to a specific program within the National Science Foundation (NSF)called the Established Program to Stimulate Competitive Research (EPSCoR). Arkansas wouldbe eligible to submit a new proposal under the EPSCoR Track-1 program in 2019. Track-1projects were five years in duration and consisted of a $20 million award from NSF, plus a $4million state match, to support statewide research and education aligned with a thematicscientific topic as decided by the SAC. In consideration of the growing momentum around dataanalytics at the time, the SAC
, engineer-ing curriculum, educational data miningIntroductionIn higher education, it is crucial for engineering students to not only finish their degrees, but tofinish them on time. This urgency comes from global challenges, like those outlined in the UnitedNations Sustainable Development Goals,1 where engineering will play a key role in addressingimportant issues.2 Timely graduation in engineering is not only vital for individual success butalso contributes to broader societal achievements in the engineering field.3–5 However, despitethe demand for skilled engineers, only 6.1% of degrees awarded in 2021 were in engineeringdisciplines.6Concerningly, only 33% of students in engineering programs complete their degrees within thetypical four-year time