Displaying all 10 results
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- Computers in Education Division (COED) Poster Session
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- 2024 ASEE Annual Conference & Exposition
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- Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University
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Ethics Institute and the Leonhard Center for Enhancement of Engineering Education—to facilitate exchange and collaboration between philosophers and engineers. Prior to joining Penn State, he was a postdoctoral research fellow at the Science History Institute working on the history of engineering ethics education. Shih earned his PhD and MS in science and technology studies (STS) from Virginia Tech. He also has a graduate certificate in engineering education (ENGE) from Virginia Tech and a Bachelor of Science in electrical engineering from National Taiwan University. ©American Society for Engineering Education, 2024 Generative Artificial Intelligence (GAI) Assisted Learning: Pushing the
- Conference Session
- COED: AI and ML Topics
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- 2023 ASEE Annual Conference & Exposition
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- Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo
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Intelligence (AI) applications have become an integral part of our lives, from socialapplications on smartphones to crewless vehicles. However, as they remain in the domain of“computer magic,” these new advancements of knowledge processing and reasoning using AI toolswill not be of a great benefit to humanity, unless a complementary education environment isprovided to help students and communities become involved in this scientific revolution early,ethically, and systematically. Introducing and exploring AI concepts and basics earlier in thestudents’ learning journey will help address the future AI job market needs as well as AI ethicsissues and will open the door for new innovative AI applications in all segments of life. The long-term goal of this
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- Spotlight on Diverse Learners
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- 2024 ASEE Annual Conference & Exposition
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- Manuel A. Pérez-Quiñones, University of North Carolina; Debarati Basu, Embry Riddle Aeronautical University
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pedagogy, fairness in AI, disinformation, social justice addressing theinequities of society, and ethics/professionalism topics. In most of these topics, equity incomputing is still forming and not widely seen as an integral part of the discipline.N. Washington [31] discusses the glaring omission of non-technical issues from the CScurriculum that would allow CS students, and future professionals, to understand, analyze, andoffer solutions about the inequity and lack of representation that exists in computing. Dr.Washington argues that there is a need for all CS students to have a level of cultural competenceso that students can begin to understand, critically analyze and look for solutions that willimprove equity in our field. Another CS Educator
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- COED: Computing in K-12 / Early Childhood Education
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- 2023 ASEE Annual Conference & Exposition
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- Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University
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clusters; elements with evidence are highlighted in green.Literature Review 1 – Data Science for PreschoolersThe search using IEEE Xplore revealed 86 results, and the ScienceDirect search yielded 65results, with all excluded expected one, which indicated the need for further investigation. Thepaper “Data Science K-10 Big Ideas” provided a comprehensive overview of the fundamentalskills students should learn to become proficient in data science [10]. The paper also outlinedfour key concepts that should be taught in data science curriculum for kindergarten through10th grade, including topics such as data collection and representation, data analysis andinterpretation, and ethical considerations in the use of data. The included paper was developedby
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- The Best of Computers in Education Division (COED)
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- 2024 ASEE Annual Conference & Exposition
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- Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver; Marina Milner-Bolotin, University of British Columbia, Vancouver
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(reflection-on-action) [11], and improve for future implementations (reflection-for-action) [13]. In addition, during the school practicum, preservice teachers’ ongoing collaborationwith their university practicum advisor, associate teacher, school staff, and fellow preserviceteachers allow preservice teachers to acquire and improve their collective knowledge of thenature of learning, the diverse development of their students (intellectual, physical, social,emotional, etc.), professional, social, legal, and ethical responsibility [12].In the spring of 2020, COVID-19 pandemic brought significant restrictions and changing healthprotocols that lasted until winter 2023. These changes affected many of Canada’s ITE programsand consequently the conduct of
- Conference Session
- Spotlight on Diverse Learners
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- 2024 ASEE Annual Conference & Exposition
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- Isabella Gransbury, North Carolina State University; Monica M. McGill, Institute for Advancing Computing Education; Leigh Ann DeLyser
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1 2% 1 2% 1 3% 1 2% Funding 26 52% 21 46% 19 51% 19 46% Language 1 2% 1 2% 1 3% 2 5% Low Study Participation 8 16% 8 17% 8 22% 8 20% Publishing Challenges 6 12% 5 11% 4 11% 5 12% Research Ethics Approval 8 16% 8 17% 4 11% 6 15% Research Interest 7 14% 7 15% 4 11% 7 17% Lack of Admin Training in CER 12 24% 12 26% 11 30% 11 27% Social-Familial Influences 4 8% 3 7% 3 8
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- COED: Spotlight on Diverse Learners
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- 2023 ASEE Annual Conference & Exposition
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- Vijesh J. Bhute, Imperial College London; Ellen Player; Deesha Chadha, Imperial College London
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received from the Education Ethics Review Process Team prior toconducting this study.Questionnaire 1 was distributed to teaching staff via Teaching and Learning Network on MSTeams. 34 teachers participated in this questionnaire from different departments across theCollege. Questionnaire 2 was distributed to second-, third- and fourth-year undergraduatestudents from the Department of Chemical Engineering who have experience with universitylearning. 55 students (~14.4%) participated in this questionnaire across these three yeargroups. Both questionnaires 1 and 2 were launched at the beginning of the academic year.Questionnaire 3 was distributed to second year undergraduate students in the Department ofChemical Engineering at the end of teaching
- Conference Session
- COED: Grading Systems
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- 2023 ASEE Annual Conference & Exposition
- Authors
- Marko V. Lubarda, University of California, San Diego; Alex M. Phan, University of California, San Diego; Aidan Daniel Carrigg; Karthik Srinivasan; Josephine Relaford-Doyle, University of California, San Diego
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- Computers in Education Division (COED)
- Conference Session
- Programming Education 1
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- 2024 ASEE Annual Conference & Exposition
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- Mariza Tsakalerou, Nazarbayev University; Michalis N. Xenos, University of Patras; Semira Maria Evangelou, University of Patras
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Creativity, 41, 100888.[5] M. L. How, S. M. Cheah, Y. J. Chan, A. C. Khor, and E. M. P. Say, "Artificial Intelligence for Advancing Sustainable Development Goals (SDGs): An Inclusive Democratized Low-Code Approach," in The Ethics of Artificial Intelligence for the Sustainable Development Goals, pp. 145-165, Cham, Springer International Publishing, 2023.[6] J. Metrôlho, F. Ribeiro, P. Graça, A. Mourato, D. Figueiredo, and H. Vilarinho, "Aligning Software Engineering Teaching Strategies and Practices with Industrial Needs," Computation, vol. 10, p. 129, 2022.[7] Avishahar-Zeira and D. H. Lorenz, "Could No-Code Be Code? Toward a No-Code Programming Language for Citizen Developers," in Proceedings of the 2023 ACM SIGPLAN International
- Conference Session
- The Best of Computers in Education Division (COED)
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- 2024 ASEE Annual Conference & Exposition
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- John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University
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Division Service Award. Estell currently serves as an ABET Commissioner and as a subcommittee chair on ABET’s Accreditation Council Training Committee. He was previously a Member-At-Large on the Computing Accreditation Commission Executive Committee and a Program Evaluator for both computer engineering and computer science. Estell is well-known for his significant contributions on streamlining student outcomes assessment processes and has been an invited presenter at the ABET Symposium on multiple occasions. He was named an ABET Fellow in 2021. Estell is also a founding member and current Vice President of The Pledge of the Computing Professional, an organization dedicated to the promotion of ethics in the computing