. Allowing students theopportunity to gain confidence in their ability by quickly learning coding andapplying introductory programming concepts could help them to master theseconcepts more quickly and defer programming environment set up to a later date.Accelerating the learning of programming may help to offset future needs, asgrowth in software development jobs is projected to significantly outpace growthin instructional jobs in computer science. This study implemented two versions ofthe same course content in self-paced and instructor-led formats. The instructor-led format included the delivery of online lectures combined with examples andpractice exercises. This was considered a more traditional approach wherestudents were taught using slides
HyFlex course. Also, they also gave studentsthe message to attend the course and not rely on videos as a substitute for class. The mostsuccessful instructors set expectations for attendance early in the class with both the syllabus andin their course introduction on the first day of class.Exams and cheating: A second problem was how to ensure exams and assessment activities wereequitable. This was an important issue. Instructors grappled with how to administer exams orother assessments in-person and/or synchronously online. They knew they would not be able towrite different assessments that are equitable and commensurate for students. University wide,instructors have addressed this issue differently to uphold academic integrity. Some
research design approach to evaluate theeffectiveness of LLMs in assessing the LOs from STEM courses using the SMART framework.Data CollectionWe collected 30 LOs from a publicly available syllabus of courses. The selection criteria for theLOs were that they belong to a STEM course, and the syllabus should have a separate section forlearning objectives. The collected learning objectives cover programming, engineering design,and database systems courses.Evaluation CriteriaWe used the SMART as the criteria to evaluate the quality of LOs, which both the LLM modeland experts used. The SMART rubric is an evaluation criterion that assesses learning objectivesbased on five key criteria. Specific: The objective should clearly describe what students can
taught and/or studied online during the transition toonline learning during the COVID-19 pandemic. This study applied both qualitative and critical research methods focusing on dialogicinquiry and praxis through a connection between action and reflection [31]. Through purposivesampling, where researches select participants to meet specific needs [12], I also sought facultymembers to cover different strata - identifying whether specific characteristics of the individualparticipants are adequately represented albeit in a smaller sample [32]. This is why the studytargeted faculty members within the Liberal Education program as it currently houses the mostdiverse courses within both Arts and Sciences. This program is also relatively new
Paper ID #47465BOARD # 70: Instructor Practices for Supporting Neurodivergent Studentsin Undergraduate Computer Science Courses: Neurodivergent Faculty andStudent PerspectivesMs. Valerie Elise Sullivan, University at Buffalo, The State University of New York Valerie Sullivan is a neurodivergent graduate student research assistant in the Department of Engineering Education at the University at Buffalo working with Dr. Bonnette. She was awarded the Arthur A. Schomburg Fellowship to support her education. She graduated in the Spring of 2024 with a Bachelor’s degree in Environmental Sustainability at the University at Buffalo
, the official university guidance was released. Within thefirst click of navigating this guidance, the university offers “considerations for your syllabus andcourse” that includes a wide array of example syllabus language and a general position that theuse of AI can help students explore their own learning as long as faculty and transparent andclear in their expectations. This guidance goes on to include how assessment and evaluation areimpacted by AI, and how the development of discipline-specific expertise can be fosteredthrough intentional AI usage. Finally, multiple examples of creative pedagogy with AI areoffered to faculty for integration into their course. These integrations included supporting the useof AI to help frame faculty’s
/if/I7_Handbook_3.pdf. [Accessed 11 January 2024].[32] "Homestead," Swiss Community Historical Society, [Online]. Available: https://swisshistorical.org/the- homestead/. [Accessed 11 January 2024].[33] T. Buckell, "Tobias S. Buckell Online," [Online]. Available: https://tobiasbuckell.com/. [Accessed 11 January 2024].[34] S. Rennick, M. Clinton, E. Ioannidou, L. Oh, C. Clooney, E. T., E. Healy, and S. G. Roberts, "Gender bias in video game dialogue," Royal Society Open Science, vol. 10, no. 5, pp. 1-12, May 2023.[35] Ohio History Connection, "Ohio History Journal," [Online]. Available: https://resources.ohiohistory.org/ohj. [Accessed 11 January 2024].[36] Ohio Northern University, "ONU Computer Programming Course that Focuses
require minimal input from them.Ideate: Now that the problem statement is ready, it's time to start the ideation phase. This is thestage where we need to generate all possible ideas and where our chatbot solves the students’problems. The rule of thumb in this stage is not to judge any idea that appears, as even the weirdestone may be the ideal solution.The authors, during this phase, consulted with faculty and teaching assistants (TA) to identify theareas where the chatbot could help. The identified areas are shown in Figure 2. Course informationcan be found on the course syllabus or course LMS page. It should also assist with course materialsby clarifying definitions and explaining course concepts. This could also include providing
the engineering power industry and education sectors and is known for his thought leadership in capacity building and engineering education.Bolaji Ruth Bamidele, Utah State UniversityAbasiafak Ndifreke Udosen, Purdue University, West Lafayette Abasiafak Udosen is a professional Mechanical Engineer in Nigeria and a doctoral research scholar at ROCkETEd laboratory, Purdue University, United States. He earned a B.Eng in Mechanical Engineering and an M.Eng in Energy and Power Engineering both in Nigeria. Over the years he has had the privilege of teaching courses such as Thermodynamics, Measurement and Instrumentation, Engineering Metallurgy, System Design, and Quantitative research methods at the University of Nigeria
the teacher to have some more customizability.” In contrast, theMetavoltVR centered on specific concepts and knowledge points embedded in the coursework inthe ECE curriculum, with a clear tendency to correlate and supplement classroom learning at thecurrent institution. As students commented, “it took a syllabus type approach and… mimickedthe Electrical and Computer Engineering degree that we all go through here.” Therefore, muchcredit was attributed to MetavoltVR for its course relevancy and coursework supplementationconsiderations. Students regarded “the point of this app is also to further grasp students’attention, to interest them beyond just the course material,” and they saw a potential that“instead of teachers just lecturing from