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1. WIP: Understanding Ambiguity in Engineering Problem Solving

   Berry, M. B.; Douglas, E. P.; Therriault, D. J.; Magruder Waisome, J. A. (June 2020, ASEE'S VIRTUAL CONFERENCE)

   This work in progress paper poses the research question: what are the qualitatively different ways that novice and expert engineers experience ambiguity? Engineers are frequently confronted with complex, unique, and challenging problems. Many of our most pressing engineering problems contain ambiguous elements, and a core activity of engineering is solving these complex problems effectively. We present a pilot study consisting of four in-depth interviews with senior civil engineering students. The data collection is ongoing; therefore, our results are not complete. Some preliminary categories of ambiguity have been identified. Once the data set is complete, we will analyze it using phenomenography in order to better understand the variations in these individuals’ experiences of ambiguity in engineering problem solving. 

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2. Characterization of problem types in statics textbooks.

   Therriault, D. J. (January 2022, Proceedings of the American Society for Engineering Education)

   This work in progress research paper considers the question, what kind of problems do engineering students commonly solve during their education? Engineering problems have been generally classified as ill-structured/open-ended or well-structured/closed-ended. Various authors have identified the characteristics of ill-structured problems or presented typologies of problems. Simple definitions state that well-structured problems are simple, concrete, and have a single solution, while ill-structured problems are complex, abstract, and have multiple possible solutions (Jonassen, 1997, 2000). More detailed classifications have been provided by Shin, Jonassen, and McGee (2003), Voss (2006), and Johnstone (2001). It is commonly understood that classroom problems are well-structured while workplace problems are ill-structured, but we cannot find any empirical data to confirm or deny this proposition. Engineers commonly encounter ill-structured problems such as design problems in the field therefore problem-solving skills are invaluable and should be taught in engineering courses. This research specifically looks at the types of problems present in the two most commonly used statics textbooks (Hibbeler, 2016; Beer, et al., 2019). All end-of-chapter problems in these textbooks were classified using Jonassen’s (2000) well-known typology of problem types. Out of 3,387 problems between both books, 99% fell into the algorithmic category and the remaining fell into the logic category. These preliminary results provide an understanding of the types of problems engineering students most commonly encounter in their classes. Prior research has documented that textbook example problems exert a strong influence on students' problem-solving strategies (Lee et al., 2013). If instructors only assign textbook problems, students in statics courses do not see any ill-structured problems at that stage in their education. We argue that even in foundational courses such as statics, students should be exposed to ill-structured problems. By providing opportunities for students to solve more ill-structured problems, students can become more familiar with them and become better prepared for the workforce. Moving forward, textbooks from several other courses will be analyzed to determine the difference between a fundamental engineering course such as statics and upper-level courses. This research will allow us to determine how the problem types differ between entry level and advanced classes and reveal if engineering textbooks primarily contain well-structured problems. Keywords: problem solving, textbooks, ill-structured problems 

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3. Problem Solving and Difficulty Perception in YouTube Problems Involving Reacting Systems with Recycle

   Asogwa, U.; Duckett, T. R.; Malefyt, A. P.; Mentzer, G. A.; Liberatore, M. W. (January 2021, ASEE Annual Conference proceedings)

   null (Ed.)

   Complex problem-solving is a vital skill prevalent to thrive in the workforce along with creativity and conceptual thinking. Homework problems allow engineering students to practice problem solving, and writing new problems can be a creative process for students. Our previous research found that implementing alternative, student-written homework problems, referred to as YouTube problems, led to better learning attitudes. YouTube problems are course related; homework-quality problems generated by reverse engineering publicly available videos. Comparing learning experiences of students solving YouTube versus Textbook problems is the focus of the current study. Impacts of solving YouTube problems are examined based on perception of difficulty as well as students’ problem-solving skills displayed by students. To enable testing, students were assigned one textbook and three YouTube problems. Perception of problem difficulty across problems was examined using the NASA Task Load Index. Additionally, problem solving aptitudes while solving homework problems was assessed using a previously validated rubric called PROCESS: Problem definition, Representing the problem, Organizing the information, Calculations, Solution completion, and Solution accuracy. A new case study compares Textbook and YouTube problems related to reacting systems with recycle, which is one of the most difficult course concepts. A correlation between problem rigor and problem solving was found. 

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4. Comparing engineering problem-solving ability and problem difficulty between Textbook and student-written YouTube problems

   Asogwa, U.; Duckett, T.R.; Malefyt, A.P.; Stevens, L.; Mentzer, G.; Liberatore, M.W. (January 2021, IJEE International Journal of Engineering Education)

   Problem solving is a signature skill of engineers. Incorporating videos in engineering education has potential to stimulate multi-senses and further open new ways of learning and thinking. Here, problem solving was examined on problems written by previous students that applied course concepts by reverse engineering the actions in videos. Since the videos usually come from YouTube, the student-written problems are designated YouTube problems. This research focused on examining the rigor of YouTube problems as well as students’ problem-solving skills when solving YouTube problems compared to Textbook problems. A quasi-experimental, treatment/control group design was employed, and data collected was evaluated using multiple instruments. NASA Task Load Index survey was used to collect 􏰗1200 ratings that assessed rigor of homework problems. Problem-solving ability was assessed using a previously-developed rubric with over 2600 student solutions scored. In the treatment group where students were assigned ten Textbook and nine YouTube problems, students reported an overall similarity in rigor for both YouTube and Textbook problems. Students in the treatment group displayed 􏰗6% better problem solving when completing YouTube problems compared to Textbook problems. Although higher perceptions of problem difficulty correlated with lower problem-solving ability across both groups and problem types, students in the treatment group exhibited smaller decreases in problem-solving ability as a result of increasing difficulty in the Textbook problems. Overall, student-written problems inspired by YouTube videos can easily be adapted as homework practice and possess potential benefits in enhancing students’ learning experience. Link: https://www.ijee.ie/contents/c370521.html 

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5. The Wooden Bike Frame Challenge: Learning Statics Through Hands-On Design

   https://doi.org/10.18260/1-2--48150  

   Buckley, Jenni; Trauth, Amy; De_Rosa, Alexander; Doty, Heather (June 2024, ASEE Conferences)

   Statics is a core course taken by undergraduate mechanical engineers in their freshmen or sophomore years. The course involves characterizing structures that remain still (static) under load. Statics concepts traditionally build in complexity from isolated particles, then to rigid bodies, and finally to structures formed by multiple rigid bodies. Structural analysis, otherwise known as “frames and machines,” is thus one of the more complex topics covered in Statics because it integrates prior knowledge of particle and rigid body equilibrium with new concepts like two-force members and internal loads. Traditionally, students become proficient in structural analysis by solving textbook problems where implicitly or explicitly, these problems classify the structure as either a “frame” or a “machine.” This classification in problem wording hints at the solution method and typically requires students to calculate the loads at a particular connector or cross section at risk of failure, thus reducing opportunities for structural analysis before computation. In actual practice, structural analysis is less straightforward; engineers must thoughtfully examine the structure to determine the best method of analysis and likely failure location(s). Prior studies have introduced project-based learning (PBL) experiences for Statics courses that involve more realistic open-ended design, analysis, and validation. However, the prototyping component of these studies often falls short of actual practice by limiting students to scale model designs in craft grade materials, e.g., table-top sized bridges constructed from balsa wood. While economical and logistically simplistic, scale model designs do not reinforce industry-relevant design and fabrication skills, e.g., CAD/CAM and shop skills. Furthermore, scale models cannot be subjected to realistic loading conditions, which disconnects the analysis and validation portions of the project from actual engineering practice. In this study, we introduce a novel PBL exercise – the Wooden Bike Frame Challenge – for Statics courses that focuses on structural analysis and involves fabrication of a full-scale wooden bike frame using CAD/CAM techniques. The complete set of instructional materials, including problem statements, assignments, and rubrics, are included in this study for open-source use by other engineering educators. We evaluated the efficacy of this exercise in reinforcing students’ knowledge of statics concepts and previously acquired prototyping skills using a mixed-methods approach. Study subjects were sophomore year mechanical engineering students who were teamed (n=158 students in 37 teams). The effect of the PBL exercise on content knowledge was determined by comparing pre- and post-PBL solutions to structural analysis textbook problems, as well as the more open-ended structural analysis of the bike frame designs. Post-PBL, students individually completed a survey assessing their level of engagement with the analytical and design aspects of the PBL exercise and perceived value of the project. The Wooden Bike Frame Challenge demonstrates the value of embedding full-scale design experiences into core courses like Statics, not only for strengthening newly acquired knowledge like structural analysis, but also for reinforcing industry-standard design and fabrication skills from prior coursework. 

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