] Syaputra, Adi & Hasanah, Enung. (2022). Learning Strategies In The Digital Era. International Journal of Educational Management and Innovation. 3. 74-83. 10.12928/ijemi.v3i1.5507.[2] Athanasios Christopoulos & Pieter Sprangers — Shuyan Wang (Reviewing editor) (2021) Integration of educational technology during the Covid-19 pandemic: An analysis of teacher and student receptions, Cogent Education, 8:1, DOI: 10.1080/2331186X.2021.1964690[3] Ayodele Abosede Ogegbo & Umesh Ramnarain (2022) A systematic review of computational thinking in science classrooms, Studies in Science Education, 58:2, 203-230, DOI: 10.1080/03057267.2021.1963580[4] S. N. S. Yasin, R. Ibrahim and R. C. M. Yusoff, ”Mobile Educational Games User Experience
. To prepare to collect data, anIRB application was made in early 2021 (IRBNet ID Number 1717434-1, Assessment of studentexperience and perceived competency in engineering education). The IRB exempt letter waspublished on February 18, 2021, and will persist until and unless changes are made to theinformation collection process. This exemption applied throughout the duration of this studywhich included the course offerings in spring 2022 and spring 2023.Course enrollment, format, and survey detailsDetails of each of the three course offerings are presented in Table 1. Data was gathered througha survey instrument disseminated through an anonymous Google Form at the beginning and endof each semester. Students were able to respond only once to
Software and drafting software such as AutoCAD were taught for the past fewyears. In practice though, Civil 3D or MicroStation have gained popularity and are being used forhighway design. Civil 3D is an advanced version of AutoCAD and specifically designed for viewingobjects in three dimensions. With recommendations from Alumni who are employed in HighwayEngineering field and from the Academic Board members, Civil 3D was introduced in the lab forHighway Engineering course from Fall 2022. This paper describes how Civil 3D was integrated with thehighway engineering course and the benefits of this software for this course. Also included in this paperare the feedback received from the students and the improvements that are proposed to be made for
, there have been significant programmatic changes for the upcoming 2024apprenticeship cohort. For the 2022 and 2023 cohorts, students from QCC were only able toapply for apprenticeship roles at Company A and Company B. Similarly, for those cohorts,Company A and Company B only recruited from QCC for their apprenticeship roles. For the2024 apprenticeship cohort, students from any of the five participating CUNY schools can applyfor apprenticeship roles at any of the participating technology partner companies. For the 2024cohort, we expect about seven major companies will offer technology apprenticeship roles. Forstudents at any of the participating CUNY schools, this will mean there are more apprenticeshiproles available but also increased cross
who will play a vital role in protecting this valuable resource.ACKNOWLEDGEMENTThis work is supported in part by the U.S. Environmental Protention Agency under grant #84034701.References[1] U.S. Environmental Protection Agency (EPA), "America's Water Sector Workforce Initiative," Sustainable Water Infrastructure, published in 2022. Official website of the U.S. Environmental Protection Agency. URL: https://www.epa.gov/sustainable-water-infrastructure/americas-water-sector-workforce-initiative.[2] Catherine M. Paxton, Kayla M. Anderson, Yolanda J. McDonald, "The water sector industry workforce: A quantitative case study, Tennessee, USA," Utilities Policy, Volume 76, 2022, 101356, ISSN 0957-1787, https://doi.org/10.1016
Center on the Legal Profession. https://clp.law.harvard.edu/knowledge-hub/magazine/issues/generative-ai-in-the-legal- profession/ethical-prompts/[24] “Ethical. Safe. Lawful: A toolkit for artificial intelligence (AI) projects | Thought Leadership | Insights | Linklaters,” www.linklaters.com. https://www.linklaters.com/en/insights/thought-leadership/artificial-intelligence- toolkit/ethical-safe-legal---a-toolkit-for-artificial-intelligence-projects (accessed Oct. 02, 2023).[25] Muhammad Haris Naveed, Umair Sajid Hashmi, Nayab Tajved, N. Sultan, and A. Imran, “Assessing Deep Generative Models on Time Series Network Data,” IEEE Access, vol. 10, pp. 64601–64617, Jan. 2022, doi: https://doi.org/10.1109/access.2022.3177906.[26
fully harness its benefits. Thisresearch underscores the need for further exploration of AI-based educational tools like ChatGPTto optimize their integration into engineering curricula, ultimately enhancing the quality ofeducation in the field. Balancing the advantages and challenges is essential for maximizing thebenefits of integrating AI in engineering education.IntroductionArtificial intelligence (AI) is known as a computer-controlled robot from software and hardwaretools that imitate intelligent human behavior and thinking. It is built from seven domains, whichconsists of machine learning, language processing, text to speech, computer vision, robotics,planning systems, and expert systems. (Mukhamediev, et. al., 2022) AI-powered chatbots
Sofia Vidalis is an associate professor in the Department of Civil Engineering/Structural Design and Con- struction Engineering Technology at Penn State Harrisburg. She received her Ph.D., Masters, and Bache- lors in Civil Engineering from the University of F ©American Society for Engineering Education, 2023 AI tools: Boon to Engineering Education or a threat? Rajarajan Subramanian, Associate Teaching Professor, and Sofia M. Vidalis, Associate Professor Pennsylvania State University at Harrisburg AbstractIn the summer of 2022, there was significant media buzz surrounding the unveiling of the latest iterationof
5500students every single day. This brings the overall status dropout rate to a concerning 5.3 percent.Similarly, college dropout rates were a whopping 32.9% in 2022 [1]. These statistics highlightthe importance of understanding students’ reasons for leaving educational institutes as the soonerstudents at risk of dropping out are identified, the sooner necessary measures can be taken tosupport and guide them.Schools and universities are increasingly turning to data science methods to comprehend thisphenomenon. By analyzing educational data, these institutions aim to identify patterns that canguide decision-making processes and bolster student learning experiences [2]. While there aremany studies that provide recommendations to enhance student
United States.” Business Economics. 49 (4): 227–243. https://doi.org/10.1057/be.2014.35. 3. van Heerden, A., M. Babaeian Jelodar, G. Chawynski, S. Ellison. 2023. “A Study of the Soft Skills Possessed and Required in the Construction Sector.” Buildings, 13(2): 522. 4. Jobsite Editorial Staff. Beyond the Technical: The Soft Skills Needed to Succeed in Construction. 2018. Available online: https://jobsite.procore.com/beyond-the-technical- the-soft-skills-needed-to-succeed-in-construction/ (accessed on 18 November 2022).5. Nehdi, M. 2002. “Crisis of civil engineering education in information technology age: Analysis and prospects.” Journal of Professional Issues in Engineering Education and Practice, 128(3): 131–137.6
of Pittsburgh at Bradford.[13] R. Griffiths, J. Mislevy, and S. Wang, “Encouraging impacts of an Open Education Resource Degree Initiative on college students’ progress to degree.” High Educ, 2022, 84: 1089–1106. https://doi.org/10.1007/s10734-022-00817-9[14] National Center for Education Statistics, The Condition of Education 2016. (NCES 2016- 144), Undergraduate Retention and Graduation Rates.[15] Florida Virtual Campus, 2012 Florida student textbook survey. Tallahassee. http://www.openaccesstextbooks.org/pdf/2012_Florida_Student_Textbook_Survey.pdf.[16] T. Berry, L. Cook, N. Hill, and K. Stevens, “An exploratory analysis of textbook usage and study habits: Misperceptions and barriers to success