Teaching Heuristic Methods to Industrial Engineers: A Problem-Based Experience

Muñuzuri, Jesús; Cortés, Pablo; Grosso, Rafael; Onieva, Luis

doi:10.1287/ited.2015.0152

Cited by 6 publications

(6 citation statements)

References 35 publications

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“…In conjunction with the widely-recognized disconnect between what is taught in classrooms and what engineers need to know on the job [12,16], these types of accidents illustrate the need for more open-ended and creative design problems in engineering coursework. Accordingly, efforts have been made to update curricula to account for job relevance and hands-on experience [38,41,56], but assessing this type of learning can be difficult and time-consuming [23]. Online tools, especially intelligent tutoring systems, are an appealing solution to these issues because they can incorporate elements of human intelligence into automated tools [1].…”

Section: Related Work 21 Creativity and Problem-solvingmentioning

confidence: 99%

“…One survey of professional engineers found that around 25% of participants relied on on-the-job experience to overcome weaknesses in their formal educations [16]. Educators and researchers are aware of the need to tie industry-related experience into engineering coursework [38], and many approaches have been developed to update curricula and programs to encourage more hands-on problems and creative thinking [9,41,56,67].…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent System to Analyze Sketched Solutions to Open-Ended Truss Problems

Runyon

Polsley

Williford

et al. 2021

26th International Conference on Intelligent User Interfaces

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Engineering students need practical, open-ended problems to help them build their problem-solving skills and design abilities. However, large class sizes create a grading challenge for instructors as there is simply not enough time nor support to provide adequate feedback on many design problems. In this work, we describe an intelligent user interface to provide automated real-time feedback on hand-drawn free body diagrams that is capable of analyzing the internal forces of a sketched truss to evaluate open-ended design problems. The system is driven by sketch recognition algorithms developed for recognizing trusses and a robust linear algebra approach for analyzing trusses. Students in an introductory statics course were assigned a truss design problem as a homework assignment using either paper or our software. We used conventional content analysis on four focus groups totaling 16 students to identify key aspects of their experiences with the design problem and our software. We found that the software correctly analyzed all student submissions, students enjoyed the problem compared to typical homework assignments, and students found the problem to be good practice. Additionally, students using our software reported less difficulty understanding the problem, and the majority of all students said they would prefer the software approach over pencil and paper. We also evaluated the recognition performance on a set of 3000 sketches resulting in an f-score of 0.997. We manually reviewed the submitted student work which showed the handful of student complaints about recognition were largely due to user error.

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Section: Related Work 21 Creativity and Problem-solvingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Intelligent System to Analyze Sketched Solutions to Open-Ended Truss Problems

Runyon

Polsley

Williford

et al. 2021

26th International Conference on Intelligent User Interfaces

View full text Add to dashboard Cite

show abstract

“…The knap‐sack problem fits within this category, and multiple algorithms have been proposed to optimize these types of problems (Zhao et al., ). Industrial engineering students are typically tasked with employing or adapting one or several of these algorithms or heuristics within an assignment (Muñuzuri, Cortés, Grosso, & Onieva, ). However, active learning lesson plans appear to be lacking.…”

Section: Load Planning Pedagogymentioning

confidence: 99%

“…Industrial engineering students are typically tasked with employing or adapting one or several of these algorithms or heuristics within an assignment (Muñuzuri, Cortés, Grosso, & Onieva, 2016). However, active learning lesson plans appear to be lacking.…”

Section: Load Planning Pedagogymentioning

confidence: 99%

The Candy Container Competition: Reinforcing Gross Weight, Balance, and Stowage in Intermodal Transportation

Rossetti

2018

Decision Sci J Innov Edu

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The described exercise uses competition and the promise of a sugar‐high to motivate students to appreciate the importance load management in an intermodal setting. Using material available from a local supermarket or general merchandise store, student teams load their "container" for two customers. One customer requires palletized square candy, and the second customer requires barrels (Dixie cups) of smaller odd‐shaped candy. Students receive a worksheet that contains the weights of each type of candy in their customer kit packs, the tare weight of the container, and the approximate weight of their cardboard pallets. Students secure the contents of their pallets with shrink‐wrap (household plastic wrap) and ensure that their cargo doesn't shift using dunnage (bubble wrap). Students compete to approach but not exceed the 500‐gram maximum gross weight of their container while meeting two constraints: withstanding a 30° tilt and no more than a 20% weight differential between the ends of the container. A debrief reinforces the importance of our responsibility as supply chain professionals for the safety of transportation and material handling workers. The winning team is awarded extra credit points, and all participants are allowed to eat their customers’ shipments.

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“…At present, there are three levels of commonly used methods that can be applied to teaching for deepening students’ understanding of the lecture content, namely, the puzzle‐based teaching method [3, 4], the problem‐based teaching method [5, 6] and the project‐based teaching method [7, 8]. The puzzle‐based teaching method is applied in [9].…”

Section: Introductionmentioning

confidence: 99%

Effect analysis of small‐problem‐based teaching method for improving students’ problem‐solving ability in the experiment of power electronics course

Zhao

2021

IET Circuits, Devices & Syst

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To make students understand the working principle of circuits in the course of Experiment of Power Electronics more deeply, the author introduces a small-problem-based teaching method to help students master the relevant curriculum content and enhance their ability of independent problem-solving within 1 or 2 days for balancing the contradiction between course time and burden. Teachers present some small questions according to the basic principles of circuits, and students analyse the problems theoretically. Then students get the answers and verify the conclusions through simulations and laboratory experiments. Furthermore, for comparison of the source harmonic current and the maximum line current for three types of three-phase ac voltage-regulating circuits with different connection modes-the three-phase four-wire star connection mode, the three-phase three-wire star connection mode and the branch-controlled triangle connection mode-are used as an example to explain the proposed teaching method. Through theoretical analysis, simulation and experimental verification of students, three kinds of circuits are compared, and the conclusions are drawn. Based on the analysis of students' problem-solving process and results, it can be seen that most students can complete and get correct conclusions independently. The proposed method can improve the students' problem-solving ability. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Teaching Heuristic Methods to Industrial Engineers: A Problem-Based Experience

Cited by 6 publications

References 35 publications

An Intelligent System to Analyze Sketched Solutions to Open-Ended Truss Problems

An Intelligent System to Analyze Sketched Solutions to Open-Ended Truss Problems

The Candy Container Competition: Reinforcing Gross Weight, Balance, and Stowage in Intermodal Transportation

Effect analysis of small‐problem‐based teaching method for improving students’ problem‐solving ability in the experiment of power electronics course

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