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1. Developing Subgoal Labels for Imperative Programming to Improve Student Learning Outcomes

   Decker, Adrienne; Morrison, Briana B.; Margulieux, Lauren E. (June 2019, ASEE Annual Conference proceedings)

   There have been many calls recently for computing for all across the nation. While there are many opportunities to study and use computing to advance the fields of computer science, software development, and information technology, computing is also needed in a wide range of other disciplines, including engineering. Most engineering programs require students take a course that teaches them introductory programming, which covers many of the same topics as an introductory course for computing majors (and at times may be the same course). However, statistics about the success of a course that is an introductory programming course are sobering; approximately half the students will fail, forcing them to either repeat the course or leave their chosen field of study if passing the course is required. This NSF IUSE project incorporates instructional techniques identified through educational psychology research as effective ways to improve student learning and retention in introductory programming. The research team has developed worked examples of problems that incorporate subgoal labels, which are explanations that describe the function of steps in the problem solution to the learner and highlight the problem-solving process. Using subgoal labels within worked examples, which has been effective in other STEM fields, students are able to see an expert's problem solving process, which helps students learn to solving problems before they can solve problem themselves. Experts, including instructors, teaching introductory level courses are often unable to explain the process they use in problem solving at a level that learners can grasp because they have automated much of the problem-solving processes after many years of practice. This submission will present the results of the first part of development of subgoals and will explain how to integrate them into classroom lessons in introductory computing classes. 

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2. Board 207: ACCESS in STEM: An S-STEM Project Supporting Economically Disadvantaged STEM-Interested Students in Their First Two Years

   https://doi.org/10.18260/1-2--42618  

   Cline, Erica; Abraham, Menaka; Alaei, Sarah; Dillon, Heather; Dinglasan-Panlilio, Joyce; Heller, Jutta; Kmail, Zaher; Lee, Seung-Jin; Ma, Eva; Nahmani, Marc; et al (June 2023, ASEE Conferences)

   Achieving Change in our Communities for Equity and Student Success (ACCESS) in STEM at the University of Washington Tacoma started as a Track 1 S-STEM program in 2018 and has supported 69 students to date. This year we received Track 2 funding and welcomed our fifth cohort to campus, with funding to support ~32 additional students through 2026. University of Washington Tacoma is an Asian American and Native American Pacific Islander-serving institution (AANAPISI), and we serve a high proportion of racial minority and first generation college students. Our ACCESS scholars are pursuing bachelor’s degrees in Mathematics, Environmental Science, Biomedical Sciences, Information Technology, Computer Science and Systems, Computer Engineering and Systems, Electrical Engineering, Mechanical Engineering, and Civil Engineering, with Computer Science and Engineering representing over 60% of ACCESS scholars to date. First-time college students and first-year transfer students receive full scholarships for their first two years, and partial scholarships for their third and fourth years. The project includes an optional Early Fall Math course to enhance entry into STEM majors, and participants are able to engage in a Research Experience or project-based Introduction to Engineering course in their first year. Coupled with individual faculty mentoring and an on-campus STEM living learning community, the quarterly Success in STEM seminar course helps scholars form a cohesive community through group mentoring, as well as develop a sense of belonging, identity, and empowerment to transform the culture of STEM. This program is distinguished by its focus on pre-STEM majors in their first and second years on campus, and includes mentor training for ~30-40 faculty in teaching and mentoring diverse student populations, thus impacting all students in our majors. Our goal was to evaluate the effectiveness of a program that focuses on the first two years of college and provides financial support, courses to introduce students to research and project-based engineering, and intensive mentoring in increasing retention and academic success for Computer Science and Engineering (CS+E) students, and whether this program helps to close equity gaps for CS+E students who are low socioeconomic status (SES), underrepresented minorities (URMs), female, and/or first generation in college (First Gen) students. We compared our student scholars to a comparison group of students who met eligibility requirements but did not participate in the program. Program scholars had higher first and second year retention, and had significantly higher GPAs. The pandemic resulted in significant social, emotional, and economic stresses for our program scholars, which may have heightened the impact of the ACCESS in STEM program. 

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3. “What Will I Experience in My College STEM Courses?” An Investigation of Student Predictions about Instructional Practices in Introductory Courses

   https://doi.org/10.1187/cbe.19-05-0084  

   Meaders, Clara L.; Toth, Emma S.; Lane, A. Kelly; Shuman, J. Kenny; Couch, Brian A.; Stains, Marilyne; Stetzer, MacKenzie R.; Vinson, Erin; Smith, Michelle K.; Offerdahl, Erika (December 2019, CBE—Life Sciences Education)

   The instructional practices used in introductory college courses often differ dramatically from those used in high school courses, and dissatisfaction with these practices is cited by students as a prominent reason for leaving science, technology, engineering, and mathematics (STEM) majors. To better characterize the transition to college course work, we investigated the extent to which incoming expectations of course activities differ based on student demographic characteristics, as well as how these expectations align with what students will experience. We surveyed more than 1500 undergraduate students in large introductory STEM courses at three research-intensive institutions during the first week of classes about their expectations regarding how class time would be spent in their courses. We found that first-generation and first-semester students predict less lecture than their peers and that class size had the largest effect on student predictions. We also collected classroom observation data from the courses and found that students generally underpredicted the amount of lecture observed in class. This misalignment between student predictions and experiences, especially for first-generation and first-semester college students and students enrolled in large- and medium-size classes, has implications for instructors and universities as they design curricula for introductory STEM courses with explicit retention goals. 

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4. X+CS: A Computing Pathway for Non-Computer Science Majors

   Mitchell, S; Cole, K; Joshi, A (March 2020, ASEE Mid Atlantic Section Spring Conference, 2020)

   With computing impacting most every professional field, it has become essential to provide pathways for students other than those majoring in computer science to acquire computing knowledge and skills. Virtually all employers and graduate and professional schools seek these skills in their employees or students, regardless of discipline. Academia currently leans towards approaches such as double majors or combined majors between computer science and other non-CS disciplines, commonly referred to as “CS+X” programs. These programs tend to require rigorous courses gleaned from the institutions’ courses for computer science majors. Thus, they may not meet the needs of majors in disciplines such as the social and biological sciences, humanities, and others. The University of Maryland, Baltimore County (UMBC) is taking an approach more suitably termed “X+CS” to fulfill the computing needs of non-CS majors. As part of a National Science Foundation (NSF) grant, we are developing a “computing” minor specifically to meet their needs. To date, we have piloted the first two of the minor’s approximately six courses. The first is a variation on the existing Computer Science I course required for majors but restricted to nonmajors. Both versions of the course use the Python language and cover the same programming content, but with the non-majors assigned projects with relevance to non-CS disciplines. We use the same student assessment measures of homework, projects, and examinations for both courses. After four semesters, results show that non-CS majors perform comparably to majors. Students also express increased interest in computing and satisfaction with being part of a non- CS major cohort. The second course was piloted in fall 2019. It is a new course intended to enhance and hone programming skills and introduce topics such as web scraping, HTML and CSS, web application development, data formats, and database use. Students again express increased interest in computing and were already beginning to apply the computing skills that they were learning to their non-CS courses. As a welcome side effect, we experienced a significant increase in the number of women and under-represented minorities (URMs) in these two courses when compared with CS-major specific courses. Overall, women comprised 52% of the population, with URMs following a similar upward trend. We are currently developing the third course in the computing minor and exploring options for the remaining three. Possibilities include electives from our Information Systems major. We will also be working with our science, social science, and humanities departments to utilize existing courses in those disciplines that apply computing. The student response that we have received thus far provides us with evidence that our computing minor will be popular among UMBC’s non-CS population, providing them with a more suitable and positive computing education than existing CS+X efforts. 

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5. PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises

   https://doi.org/10.1145/3479559  

   Wang, April Yi; Chen, Yan; Chung, John Joon; Brooks, Christopher; Oney, Steve (October 2021, Proceedings of the ACM on Human-Computer Interaction)

   Peer assessment, as a form of collaborative learning, can engage students in active learning and improve their learning gains. However, current teaching platforms and programming environments provide little support to integrate peer assessment for in-class programming exercises. We identified challenges in conducting such exercises and adopting peer assessment through formative interviews with instructors of introductory programming courses. To address these challenges, we introduce PuzzleMe, a tool to help Computer Science instructors to conduct engaging in-class programming exercises. PuzzleMe leverages peer assessment to support a collaboration model where students provide timely feedback on their peers' work. We propose two assessment techniques tailored to in-class programming exercises: live peer testing and live peer code review. Live peer testing can improve students' code robustness by allowing them to create and share lightweight tests with peers. Live peer code review can improve code understanding by intelligently grouping students to maximize meaningful code reviews. A two-week deployment study revealed that PuzzleMe encourages students to write useful test cases, identify code problems, correct misunderstandings, and learn a diverse set of problem-solving approaches from peers. 

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