Paper ID #41991Navigating Real-World Complexity: A Guide to Multiple Case Studies inEngineering Education ResearchCamila Andrea Olivero-Araya, The Ohio State University Camila Olivero-Araya is a Ph.D. candidate in Engineering Education and a recipient of the Fulbright award. Prior to beginning her doctoral education, Camila served as a lecturer in Industrial Engineering at Universidad Cat´olica de la Sant´ısima Concepci´on, Chile, where she taught a variety of classes within the field of Industrial Engineering. She holds Bachelor’s and Master’s degrees in Industrial Engineering, both earned from Universidad Cat´olica de la
instructor introduces actual have already been conducted experiments previously conducted by scientists. by scientists. Step 4: Instructors present concepts and topics not Beyond gaining a Introducing explored by students, including the application comprehensive understanding Theory and of chemical kinetics in real-world contexts, of theories, students also Applications such as in biology and materials science and develop and reinforce their engineering. Briefly mention more advanced awareness that theories may theories as appropriate. be context-dependent and are
experienced curiosity when their instructors were engaging and madeconnections to real world applications, whereas they felt less curious when they wereoverscheduled and when class content was redundant. Students noted that working in a researchlab gave them more time to process information, develop questions, and build relationships withpeers and mentors compared to their class experiences. We discuss the implications of thesefindings and offer suggestions for encouraging students’ curiosity in both class and research labsettings. Introduction This mixed-methods research paper presents findings drawn from a larger study thatexamines how undergraduate research and class experiences impact student
effectiveness in comparison to traditional methods ofteaching. In this project, first, virtual models as training environments are created by scanningreal-world environments and used to train students via computers and VR headsets connected tothese created virtual models. As a follow-on evaluation, students’ performance is then assessedduring a real-world, in-person energy audit to understand the effectiveness of the various modesof training. Their effectiveness on student learning is then evaluated by conducting surveys andcomparing performance metrics. The results can be used by organizations and programs toimprove the training of the energy workforce.IntroductionAs the United States moves towards decarbonizing its infrastructure systems and efforts
Learning in Community of Practice: an Instrument Development and Validation Wei Zhang1, Liang Wang2*, Shuai Wang 2 (1 Institute of China's Science, Technology and Education Policy, Zhejiang University, Hangzhou, 2 School of Public Affairs, Zhejiang University, Hangzhou)Abstract: Authentic engineering learning means that students learn in authentic environments with rich,real-world, immersive, and engaging tasks, which was regarded as an effective way to align engineeringconcepts and principles with ill-structured and complex workplace engineering problems. The purpose ofthis research paper is to describe the development and
University emerges as a good initiative,designed to bridge the gap between classroom learning and real-world research [8]. The summerresearch program is an opportunity for students who wish to conduct research, who have notsecured an internship in the industry, and most of our rising seniors will choose the internshipunless they are really interested in research.The core objective of the URSR is to immerse undergraduates in a research-intensiveenvironment, where they can apply academic theories to real-life problems and develop a deeperunderstanding of their field [9,10]. This program offers a unique platform for students to workclosely with faculty mentors and engage in rigorous research activities, thereby fostering aculture of inquiry and
Engineering [200* A-B-C] Global Engineering Design Thinking, Innovation, and Entrepreneurship The [course 200 A-B-C] sequence immerses students in a real-world, globally distributed engineering design experience in the spirit of a Silicon Valley start-up teaching them to manage the chaos and ambiguity inherent in professional design. Teams of 3-4 [university] graduate students partner with a similar team at an international university to work on industry-funded design challenges to deliver breakthrough innovation prototypes. Design challenges are typically at the Human Interface to Robots, AI, Internet of Things, Autonomous vehicles, and Smart Cities. In A you will learn Human-Centric Design-Thinking with the guidance of a teaching team that includes
functionwithin real-world limitations [11]. Thus, CT is embedded in engineering design, making it acritical skill for engineers in their education journey and professional practice.There are frequent discussions on effective CT development methods, model-eliciting, andsimulation activities [12]. It is also common for robotics and programming to be used as a meansfor the teaching of CT skills. Hands-on approaches appear consistently across CT researchbecause they evoke experiences that make the application of CT observable, thus making theconcept more tangible [13]. Studies have also highlighted the importance of incorporating CTinto formal and informal learning settings to enhance students’ CT skills and engagement [14].While engineering has always
], [21]. Also, these student-centered practices developedcuriosity, intrinsic motivation, and positive attitudes in students toward STEM [22], [23].Another advantage of student-centered instructional practices is the development of criticalthinking and better problem-solving skills. Students applied, synthesized, and analyzedknowledge better in the classroom, actively learning to solve real-world problems [24]. Although student-centered approaches and active learning classrooms have shown compellingadvantages over traditional teacher-centered approaches, a critical dimension of how studentsthink and perceive these different instructional practices used in classrooms and how they feel itimpacts their overall learning, especially engagement and
columns for factor, claim, evidence, andreasoning. Hence, this study explored how students integrate science knowledge and economicconsiderations in decision-making during an engineering project development, part of the lessondesign.Achievement of desired outcomes: Engineering students enrich from applying theoreticalknowledge in practical design. This study introduces the Argumentation Framework involved in alesson design approach, for first-year engineering undergraduate students, fostering criticalthinking and practical application of theoretical knowledge in practical design. Emphasizingevidence-backed claims enables students to articulate compelling arguments, enhancingeffectiveness in real-world applications. Sankey and Radar charts support
, Authentic Assessment, and Engineering SimulationsThe transfer of learning focuses on the ability to apply knowledge and skills acquired in onecontext to solve problems in different, often real-world, situations [1], [2]. Facilitating thistransfer is essential for preparing students to effectively enter their workplace [3]. This isespecially relevant in the field of engineering as there may be gaps between academic and on-the-job information. However, discussions on how students carry knowledge, skills, andattitudes (KSA) from one module to another, and the research on the transfer of learningfocused from school and work contexts are largely unexplored [4].Studies have uncovered some key elements on effective transfer of learning. These
memo [24] summarizing the main ideas and themes. This helped the author to condensetheir findings into one document and made it easier to review their work. Author 2 then worked with theother authors to finalize the set of themes and resolve any disagreements.ResultsTable 1 displays the number of utterances found for each of the six themes related to agency, byparticipant.Table 1Themes by Participants Prescribed Challenges Agency Prob Set & Outside Selecting Agency of OE Outcome Real-World Resources Tools problems Comparisons Cristina 6 3 2
,experiential learning, particularly through laboratory courses, emerged as their preferred method.Second, a strong emphasis on necessity appeared to drive their data skill development, suggestingstudents may not always actively seek out these opportunities.5.1.1 Experiential LearningThe students primarily saw experiential learning as the key method for developing their data skills.They emphasized the importance of hands-on experience and iterative learning in a community-driven environment, where real-world challenges and collaborative projects serve as thefoundation for developing true data proficiency. MAE students highlighted that individual practicewas a significant factor in developing data proficiency. While not said explicitly, when it comesto
opportunities and applications of agent-basedmodeling (ABM) methods to interpretative qualitative and educational research domains. Thecontext we explore in this paper considers graduate engineering attrition, which has been a fundedresearch focus of our group for ten years. In attrition research, as with all human research, it isimpossible and unethical to imperil real graduate students by subjecting them to acute stressorsthat are known to contribute to attrition in order to “test” different combinations of factors onpersistence and attrition. However, agent-based modeling (ABM) methods have been applied inother human decision-making contexts in which a computer applies researcher-programmed logicto digital actors, invoking them to make digital
specific, its aid in instructional and course design. The METM program curriculum offers courses that focus on Project Management,Strategic Planning and Management, Financial Resource Management, etc., that are included inthe Engineering Management Body of Knowledge (EMBOK)[3]. At the conclusion of theMETM program, students must research, design, and showcase a real-world project that requirescomprehensive application of the knowledge they have learned throughout the program, in orderto bring significant impact to the stakeholders of their chosen organizations. The Capstone course spans over two semesters, Fall (Capstone I) and Spring (CapstoneII); it was first offered in 2019, and in 2023, the fifth student cohort started their
integrationof AI becomes increasingly more sought after, the intersection between AI in racing games andthe real world becomes more relevant, especially as more companies are incorporating automotivevehicles into their agenda.AI and machine learning has always been a major topic in the gaming industry. However, in theearly days of AI development, AI was only included in simpler, less complex games such as Goand Chess where the AI bot is only given a certain set of rules to follow in order to beat theopponent [3], [7]. Though, since then, the objective has changed, transitioning to more complexand versatile algorithms following and learning rules through an evolutionary process of trial anderror. Racing games and simulators have been a hot topic for
(Retired) Hungler served in the Royal Canadian Airforce. His research is now foc ©American Society for Engineering Education, 2024 Use of Theories in Extended Reality Educational Studies: A Systematic Literature ReviewOver the past few decades, the use of extended reality environments for the purpose of teachingand learning has become increasingly popular. Such environments provide an opportunity forperceptual presence and immersion through multisensory experience and interaction and thusmimicking the real-world [1], [2]. Extended reality (XR) encompasses environments andtechnologies such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR)[3], [4]. AR overlays
phases whichimplemented in this study. Exploration Concept Invention Application Reflection Extension Figure 3. Phases of POGILApplication:Application of the newly developed understanding to new contexts or scenarios. Students usetheir learning to solve problems or analyze real-world situations related to the concept.Reflection:Discussion and reflection on what has been learned. Students articulate and discuss theirconclusions, often through group discussions or
and a guide to enhanceteamwork in course projects. Based on TPB, three interventions were developed: (1) a projectdescription document including real-world examples of problems that can be solved with skillsdeveloped through the course project; (2) an accountability plan for the instructional team toprovide social pressure to participate; and (3) a project management plan for the students to havea structure in the groups with well-defined roles. The interventions were adopted in two Fall2023 courses (n = 39). Findings revealed significant improvements in student engagement, taskcompletion, communication, role adoption, goal clarity, and conflict management post-intervention. These results confirm the efficacy of TPB-based interventions in
withinundergraduate engineering education. By undertaking a systematic literature review, this studyaims to fill this gap, providing a nuanced understanding of generative AI’s current applications,challenges, and future potential in engineering education.[4] The goal is to equip educators,policymakers, and curriculum architects with a solid foundation to innovate curricula that not onlymeet but anticipate the needs of the engineering profession in an AI-centric world [4-7].The evolving industrial landscape, increasingly defined by AI's integration into core engineeringpractices, demands a reevaluation of educational strategies. Traditional pedagogical models mustevolve to incorporate curricula that are both adaptive and anticipatory of rapid
revisions and support. Notably, the analysis revealsthat students with prior Co-Op experiences, although able to draw from their real-world exposure, did notnecessarily exhibit a substantial advantage in terms of the heightened cognitive engagement observedduring the DYOP. Similarly, the study highlights the potential of the DYOP to serve as a valuable revisitingtool, enabling students to consolidate their understanding of the course material and bridge any existinggaps in their comprehension, regardless of their initial performance levels. These findings highlight thetransformative potential of the DYOP framework in nurturing comprehensive and inclusive learningexperiences, all while introducing minimal disruptions to the conventional pace of
impact on their learning. These developmental resources provided differentperspectives, values, and contexts to their learning affording them a broader perspective on theirlearning and future careers.ConclusionsOne goal of a learning ecology approach is to develop intentionally generative “distributedlearning environments that attract and sustain participation” [22] of students and practitionersalike. Students reported that their early courses in engineering often overlooked opportunities tolink engineering content to the larger world of practice and society. Exceptions to this werereported in this study of professors presenting the practical, “real world” applications ofscientific concepts and methods. Students reported that in their programs
formative assessments [12]. Prior tomoving onto more intricate topics. Additionally, it underscores the importance of fostering abilitiescritical for analytical thinking and real-world application, such as analytical problem-solving andexperimental methods, to guarantee learners are well-equipped to utilize their learning in practicalscenarios [6]. Bloom's mastery learning model encapsulates the core tenets of this educationalapproach by emphasizing the definition, planning, teaching, and grading for mastery. It recognizesthe assessment of mastery as a crucial pillar, addressing the research question of how studentmastery is monitored and identifying the assessment models capable of measuring it [6].Mastery Learning Steps Bloom Mastery
autonomy,thereby enriching their educational journey and priming them for the seamless transfer ofknowledge into practical application within their chosen careers. Moreover, the integration ofvideo games into the pedagogical landscape fosters a distinctly student-centric approach, whereinlearners are encouraged not merely to memorize information but rather to actively apply, evaluate,and make informed decisions, thereby deepening their comprehension and retention. Furthermore,the utilization of video games within the classroom environment affords students a safe and cost-effective platform to grasp and implement intricate engineering principles and methodologies, sansthe associated risks or expenses often tied to real-world scenarios. Additionally
) Engage in real-world research (2) Feel like a researcher (3) Try out new ideas or procedures on your own (4) Attend meetings of your research group (5) Feel responsible for the project 11 (6) Feel like you belong in the research group (7) Build a professional network of mentors and peersPlease rate the following aspects about your experience in the MSE REU program:Multiple Choice Question, for each question, participants are to select one of the given options: ● Poor (1) ● Fair (2) ● Good (3) ● Excellent (4) (1) My working relationship with my research advisor (i.e., a faculty member) (2) My working relationship with my
prototype, contribute significantly to enhancing critical thinking andconceptual learning. MEA focuses on assigning students’ tasks derived from real-world examples,enabling them to develop a sound understanding of theory and its application. This study has threehypotheses combined to sum up as MEA online teaching is better than teacher-centered onlineteaching in conceptual thinking, professional skills, and interaction enhancement [24]. There werefive tests designed to explore these hypotheses. The tests were designed and distributed to twogroups experimental group and a control group for comparison. Overall, the results of theconceptual learning test showed that MEA online teaching shows better results than conventionalteacher-centered online
, experiment, simulation, video, etc O - OtherInstructor communication CN - Linking concepts to world experiences Concepts linked to students' background or real world experiences CPN - Connecting past and new concepts Links made between past learning and new concepts KVE - Key vocabulary emphasized e.g. introduced, written, repeated, and highlighted for students to see CTE - Clear task explanations Explanation of academic tasks clear TCU - Techniques for clear content understanding
implementing anonymous grading inacademic settings. The paper led to the development of a tool that leverages barcode technologyto maintain the anonymity of student submissions throughout the grading process. This tool waspiloted in two undergraduate-level chemical engineering courses, offering a real-world contextfor our investigation and providing initial evidence supporting the viability of anonymousgrading.Our study's foundation is built upon this innovative approach to grading, aiming to expand thescope of our investigation to thoroughly assess the impact of anonymous grading on both studentperformance and psychological well-being. Through a comprehensive analysis of studentoutcomes in courses utilizing this system, compared to those adhering to
tailored support. Through C2WEST, Black students could also further realizeand conceptualize the access they have to their own aspirations regarding future career and lifegoals.IntroductionIn this theory paper, the aspirational capital of Black students will be examined through theC2WEST framework. A variety of research has examined the aspirations of Black students inSTEM in addition to other types of capital that Black students bring to the fields [1]–[4]. Yossodefines aspirational capital as the “ability to maintain hopes and dreams for the future, even inthe face of real and perceived barriers” [5, p. 77]. In a systematic review, Denton et al. [2]examined twenty-eight different studies that mentioned aspirational capital among
, creating simple graphic organizers for real-time data documentation thatallow us to quickly assess whether a sweep is complete, or the KAM dimensions are satisfied,was a key outcome of the “pre-pilot.”Anticipated Results and SignificanceThe overarching goal of this research is to provide a better understanding of engineering intuitionand a foundation for the explicit application of intuition in engineering problem solving. Morespecifically, the initial pilot interviews support our ability to use CTA effectively in gatheringhigh quality data that supports this research goal.We anticipate this ongoing work will allow us to understand more about the role intuition playsin engineering. Ultimately, the differences in problem-solving approaches between