robotics in industry and society highlights the importance ofrobotics education as part of the STEM curriculum. The barriers presented by the costand complexity of physical robots have led to the exploration of alternative solutions, suchas simulation-based learning. The FORE platform represents a significant advancementin this area, providing an accessible, scalable, and comprehensive solution to teachingrobotics. By integrating coding, simulation, and interactive lessons, the platform em-powers students to develop the skills needed for success in the evolving field of robotics.2 Related WorkRobotics education has long been a challenging field due to the high costs associated withphysical robots, limited access to resources, and the
addresses the integration of artificial intelligence (AI) topics intointroductory engineering courses. With the proliferation of AI in everyday life, it is important tointroduce the topic early in the engineering curriculum. This paper focuses on generative AI andmachine learning topics using two different educational strategies. The objective of this researchwas to explore students’ comprehension of AI and their motivation to engage in AI learning afterbeing introduced to AI tools.In a first-semester project engineering course, generative AI was introduced as a tool. Studentswere guided on the ethical and effective use of generative AI and were encouraged to discuss itslimitations. Students had the option to use generative AI for their writing
model is an effective tool for creating engaging content forstudents. Similarly, another study [9] demonstrated its ability to evaluate students’ essays likehuman graders.As LLMs continue to transform various aspects of education, one critical area where theirpotential remains largely unexplored is their ability to help in curriculum design, particularly inevaluating learning objectives (LOs) [10]. Writing and implementing good LOs are essential foraligning the three aspects of curriculum design: course content, assessments, and instructionalstrategies [11]. The LOs provide a framework for students and instructors to ensure that learningoutcomes are clearly defined and achievable. These basic building blocks can guide towards thesequence that
and develop curriculum around AI literacy. With these in place, practitioners caneffectively develop and implement educational systems that leverage AI’s potential in areas suchas immediate feedback and personalized learning support. This approach can enhance the qualityof students’ educational experiences while preserving the integrity of the learning process with AI.1 Introduction and BackgroundArtificial intelligence (AI) chatbots have emerged as a growing resource in educational settings.Advances in large language models (LLMs) have enhanced AI chatbots’ ability to understand andrespond to academic queries, driving their increased adoption in educational settings and sparkinggreater research interest. Open online models such as OpenAI’s
enables the creation of personalized learning content, automated feedback, and real-timeacademic support. A notable example is OpenAI’s ChatGPT, a large language model trained togenerate human-like text responses, assisting students and educators in various academic tasks,including writing, coding, and content summarization [4]. While several generative AI models,such as Google Bard and Anthropic's Claude, offer similar capabilities, ChatGPT is known for itswidespread adoption in educational contexts, its advanced natural language processingcapabilities, and its frequent integration into learning management systems and academicworkflows. These factors position ChatGPT as a leading AI tool in education, making it an idealcase for examining the
, which encompass actively engaging withsociety and adequately preparing students for academic success. The value ofcollaborative research lies in its capacity to enhance students' social management skills.According to El Kouzi and McArthur, students develop a positive attitude towardslearning activities enhanced with augmented reality, exhibiting enthusiasm andliveliness [16]. Augmented reality's primary benefit lies in its capacity to merge digitalelements with the physical world, providing users with an immersive experience thatseamlessly integrates virtual sensations into their environment, as opposed to solelydisplaying information [17]. The study conducted by Iqbal et al. [18] underscored theimportance of augmented reality (AR) in
fill out an online surveyregarding their course curriculum. The instructors self reported their institution name, coursename, course department, and average number of students enrolled in the class at one time. Thesurvey also included multiple choice, select all, and free response questions to gain further insightinto the introductory programming courses currently offered. The data collected from thesequestions included: • Programming language(s) used in the course. • Environments and tools used for instruction; e.g., Integrated Development Environment (IDE). • The strengths and weaknesses of these tools/environments. • Instructor policies on collaboration within the course.Once the surveys were completed, courses were grouped
, hands-on project work during in-person sessions. Similarly, CSCL facilitates cloud-based collaboration, mimicking modern engineering environments where team-based virtualdesign and real-time feedback are essential 16,17,18. By aligning instructional strategies with thecompetencies required in applied engineering fields, these pedagogical methods enhance studentengagement, strengthen technical proficiency, and better prepare MET graduates for workforcechallenges 19.2.2. Curriculum Integration: Bridging Theory and PracticeA typical knowledge structure is illustrated in Figure 2, showing the hierarchical organization ofkey disciplines and their subcategories in Mechanical Engineering Technology. This structurehighlights the interconnected areas of
) practices, COIL emphasizes mutual learning throughcarefully designed collaborative tasks, providing students with an authentic internationalexperience without requiring physical mobility [2]. This method aligns seamlessly with thedemands of Industry 4.0 and Industry 5.0, allowing engineering students to approach complex,multidisciplinary challenges from a global perspective [3].Intercultural competencies are regarded as vital components for academic achievement, personalgrowth towards becoming a global citizen, and relevance in the labor market [4]. The COILmethodology aims to cultivate digital and intercultural competencies as an integral component ofthe academic curriculum. Typically, COIL projects are characterized by a shared
curriculum quality standards in the U.S. and manyother countries, namely communication, responsibility, teamwork, and critical thinking per theCriteria for Accrediting Engineering Programs, 2024 – 2025, Criteria 3. Student Outcomes list[23]. Engineering curricula and assessment systems, through programs such as ABETaccreditation, are intended to prepare engineering students for the skills they need to enterindustry. The highest reported professional skills are summarized in Table 2 below, with teamworkand communication identified as being the most common skills lacking in recent engineeringgraduates. The definitions of communication and teamwork were not standard in the researchpapers reviewed, so an exact definition or expectation of these
Intergral in Years 2015 and 2021 9 8 7 6 5 4 3 2 1 0 By hand Calculator MATLAB LabVIEW Mathematica Wolfram Excel Alpha 2015 2021 Figure 2. Comparative technology choices of STEM students for solving an integral question.There are two major differences between the two data sets considered for comparison; There is an increasein the number of students who preferred to solve the definite integral by hand in both institutions. In addition,institution I2 participants preference to use a calculator increased to solve a definite integral when comparedtheir technology
Paper ID #47569Exploring Student Self-Efficacy in AI Through Model Building ArtifactsMiss Gabriella Marie Haire, University of Florida College of Education Gabriella Marie Haire is a second-year master’s student studying curriculum and instruction with a concentration on educational technology at the University of Florida College of Education. She received a bachelor’s degree in educational sciences with an emphasis in educational technology from the University of Florida College of Education. She is interested in the intersection of AI and AR in K-12 classrooms.Dr. Pavlo Antonenko Pavlo ”Pasha” Antonenko is an Associate
this transformation and its integration into the curriculum, preparing well-equippedand versatile engineers A case study of laboratory within this context was chosen to narrowthe focus and get a better understanding of it. To further engage within the process oflaboratory-based instruction, feedback; interactive and adaptive, plays the major role. Tofurther this project however and set solid grounds for educating about and within this topic, athorough study of the current state in research needs to be done. This necessitates thepresence of this paper as an initial step towards building better understanding of what islacking and what is expected in this field. This paper studies which aspects were present inresearch, which present a gap, and
and supporting other teachers in integrating CS intotheir instruction.Outcomes. While there were challenges, CS4SA yielded several positive outcomes. Teachersvalued the opportunity to learn about CS and found it useful for their classrooms. One teachernoted how improving listening skills helped to strengthen connections with students. Theprogram also facilitated a community where teachers could network and share ideas.Another math teacher with a science background made CS more relatable by inviting his brother,a software developer for a local grocery chain’s mobile app, to conduct an online session for hisstudents. He integrated real-world CS examples into his math curriculum. In addition, he attendedboard meetings to advocate for CS to be
Paper ID #48092Work-in-Progress: Development of a new Robotics Engineering degree inresponse to industry needsDr. Nikhil Satyala, University of Nebraska - Lincoln Nikhil Satyala is an Assistant Professor of Practice in the School of Computing at the University of Nebraska. He specializes in undergraduate instruction, curriculum development, and hands-on engineering education. With a background in electrical and computer engineering, his work focuses on designing and teaching experiential learning modules that integrate robotics, automation, and software engineering.Rachael Wagner, University of Nebraska - Lincoln Rachael
federal agencies, including National Science Foundation (NSF) grants on XR-enhanced active and authentic learning and faculty professional development for more effective XR integration in STEM teaching and learning.Jesus Leyva, California State University, Fresno ©American Society for Engineering Education, 2025 Student-led VR Content Creation for Engaging Engineering LearningAbstractThis paper documents a student-led Virtual Reality (VR) content creation proof of conceptfunded as a Research Experiences for Undergraduates (REU) supplement to an existing NSF-funded project. The original NSF project focused on faculty professional development using acommunity of practice model to foster the integration of
Paper ID #45772Barriers and Innovations: Promoting Inclusion in South Dakota’s EngineeringEducationDr. Cristian Eduardo Vargas-Ordonez, South Dakota School of Mines and Technology Cristian Vargas-Ordonez is an Assistant Professor of Mechanical Engineering at the South Dakota School of Mines. He has a Ph.D. in Engineering Education from Purdue University, a Master in Education from the University of Los Andes in Colombia and a Master in Science, Technology, and Society from the National University of Quilmes in Argentina.Cedric Collinge, South Dakota Mines ©American Society for Engineering Education
Science from the University of Nebraska-Lincoln. ©American Society for Engineering Education, 2025 Reducing the DFW Rate for Engineering Majors in Introductory Computer Science Through Contextualized Learning and Peer-Supported EngagementAbstractIn this paper, we examine the efficacy of two major approaches implemented to redesign theComputer Science I course for non-computing engineering majors, with the primary aim ofreducing the DFW (Drop, Fail, and Withdrawal) rate. As computing skills have becomeindispensable in 21st-century engineering, the lack of an engineering-focused curriculum inintroductory Computer Science courses often results in suboptimal learning outcomes and
her Ph.D. degrees in electrical engineering from Chinese Academy of Sciences, China. She has worked with University of New Mexico before joining UIUC where she developed some graduate courses on Electromagnetics. Dr. Shao has research interests in curriculum development, assessment, student retention and student success in engineering, developing innovative ways of merging engineering fundamentals and research applications.Dr. Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign Dr. Chrysafis Vogiatzis is a teaching associate professor for the Department of Industrial and Enterprise Systems Engineering at the University of Illinois Urbana-Champaign. Prior to that, Dr. Vogiatzis was an assistant
multidisciplinary which includes using distinctexpertise from multiple disciplines to address a singular facet of a shared issue [6], [7]. Bruceet al. [8] emphasized that in multidisciplinary collaborations, research from individualdisciplines operate independently. Multidisciplinary work in engineering usually consists ofmembers from different engineering disciplines working on the same project [9], [10].Indeed, multidisciplinary work in engineering involves and integrates principles from variousengineering disciplines, such as mechanical, civil, and electrical, but the scope is still withinthe engineering field.InterdisciplinarityInterdisciplinary work entails the examination of an issue from multiple disciplinaryperspectives, which are then integrated
withsignificant hands-on practice. While the concept of Bring Your Own Device (BYOD) or BringYour Own Technology (BYOT) has been widely implemented, it has predominantly focused onpersonal devices for work-related tasks. In contrast, cluster computing, a technology gainingmomentum among developers, researchers, and data scientists, is often impractical to implementin classroom settings due to its resource-intensive nature. This paper introduces the pedagogicalapproach of Bring Your Own Cluster to the Classroom (BYOCC), which combines theportability and affordability of personal devices with the functionality of cluster computing,offering an innovative learning solution.Specifically, this paper explores the application of BYOCC through the use of
-design.pdf[Accessed December 18, 2024].[4] J. Dewy, Experience and Education. New York: Macmillan Company, 1938.[5] Y. Liao, M. Ringler, “Backward design: integrating active learning into undergraduatecomputer science courses,” Cogent Education, vol. 10, no. 1, 2204055, Apr. 2023.[6] R. M. Capraro, M. M. Capraro, and J. Morgan, STEM Project-Based Learning: An IntegratedScience, Technology, and Mathematics (STEM) Approach. Rotterdam, The Netherlands: SensePublishers, 2013.[7] S. B. Nite, T. J. Gray, S. Lee, and S. Stebenne, “Engaging Secondary Students in Computingand Cybersecurity,” in Practice and Experience in Advanced Research Computing, PEARC ‘24,July 21-25, 2024, New York: ACM, 2024. 5 pages. https://doi.org/10.1145/3626203.3670624[8] T
projects addressed AI for data integration and analysis. In fall 2023 the grant programwas modified to fund projects that build capacity to implement AI. Twenty-one proposals weresubmitted, of which five received funding. Recipients included faculty in biological andagricultural engineering, entomology, English, physics and psychology [42]. The recipient fromentomology had previously led a project to develop a mobile application that uses AI-vision toidentify the species to which a specific bee belongs [43].Several colleges at KSU have launched initiatives to spread awareness of how AI can be appliedto teaching, learning, and/or research. An associate dean in the College of BusinessAdministration established a team to increase the capacity of the
herdeep interest in understanding how women navigate identity, confidence, and persistence in men-dominated fields like CE. This background made transcendental phenomenology an especiallyfitting approach, as it offers a rigorous, reflective method for accessing and interpretingparticipants’ lived experiences in a way that centers their own meaning-making while striving tobracket prior assumptions.Instructional ApproachThe curriculum developed for this study focuses on embedded systems, specialized computersystems designed for specific functions within larger devices, integrating software and hardwarecomponents [12], [13]. It aims to attract students interested in software by offering practicalapplications of algorithms and programming languages
. Similarly, engineering faculty recommendedteaching numerical methods, such as interpolation, integration, regression, and solvingdifferential equations (Table 1). These are critical skills for engineering practice, but we believethey are beyond the scope of CS1. To address this, we introduced tasks in mini-projects wherestudents could begin exploring numerical methods, such as learning and solving differentialequations in an engineering application context. We made sure to provide sufficient guidance andsimplified the code implementation process in these tasks. We informed students that numericalmethods are covered in subsequent courses. The redesigned CS 101 curriculum should remainrelevant without overloading engineering students with advanced
curriculum topics compared to a maximumof 2.7 in the world view category for Team D.DiscussionThis research found that a team with a large amount of ND students excelled in group reflectionassignments compared to a team without any ND students. In the context of classroom projects,these findings may indicate that teams with more divergent functionalities may perform strongestwhen working together, rather than separately, on assignments. These findings might revealpractical applications on how to integrate classroom activities to act as an academic interventionfor ND students who otherwise might struggle with traditional learning environments. Utilizingassigned teams in the classroom and providing the option for teams to complete tasksindependently
education to the rural schools, which is seen as a persistent CSeducational challenge [18].Access to computer science education is less prevalent in schools in the rural areas comparedto their more urbanized counterparts [19]. Although Broadening Participation in Computing(BPC) education projects have been effectively implemented in some states in the UnitedStates of America, such as Maryland [20], California [21], and Utah [22], rural schools are notstill within sufficient reach largely due to their geographical disadvantages [23]. An attemptto identify the implementation challenges for a new computer science curriculum in ruralwestern regions of the United States also revealed that the concept of computational thinkingand coding were foreign to
common misconceptions. Thisway, complex technical content is adapted into a more engaging and immersive narrative format.Anticipated ResultsExposure to an experimental curriculum that integrates AI and transmedia storytelling isanticipated to increase student engagement, content retention, and deep learning. It is expectedthat female students, in particular, will report higher engagement and a stronger sense ofbelonging in the course due to the inclusion of diverse role models and narratives. Qualitativedata from student surveys and course feedback reports are expected to show that students feelmore interested in the course content and that they have learned more deeply and meaningfullycompared to a traditional curriculum. Quantitative data
orientation, assessment of higher-order thinking, and the development of strengths-based curriculum to support BIPOC students in K-16 STEM learning. ©American Society for Engineering Education, 2025 Insights from a Practice-Based Program: Connecting Women to Technology and Advancing Diversity in ComputingAbstractThe Linking Interested Females to Technology (LIFT) program, led by Miami Dade College(MDC), supports diverse groups of women transitioning into computing careers. These includewomen who are pursuing an Associate of Arts in computer science at MDC with plans to transferto four-year universities to complete their bachelor’s degrees, as well as women who havealready earned an associate degree
university engineering programs since the release of ChatGPT by OpenAI inNovember 2022 is notable [1]. The integration of generative AI in teaching and educationalresearch within engineering disciplines includes analyzing how educators and learnersunderstand and utilize these tools, examining the potential benefits and challenges, andidentifying educators' perceptions of these technologies [1].AI methodologies support educational praxis and teacher metacognition, aiding teachers'professional development through detailed, context-specific reflection and adaptive decision-making [4]. Generative AI, as an advanced innovative tool, can transform engineering educationby creating content, enhancing personalized learning, and updating curricula efficiently