Engineering design skills coverage in K-12 engineering program curriculum materials in the USA

Chabalengula, Vivien Mweene; Mumba, Frackson

doi:10.1080/09500693.2017.1367862

Cited by 28 publications

(16 citation statements)

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“…Furthermore, these students' negative attitudes toward engineering may suggest the imbalance of coverage of engineering design skills in the current science education and associate engineering or technology mostly with artefacts/products, not with the process of creation or invention (Chabalengula & Mumba, 2017). The actual design of artefacts is highly covered in K-12 science education, with less emphasis on other design skills (e.g., identifying problems, testing and demonstration) related to the engineering process.…”

Section: Discussionmentioning

confidence: 99%

“…With the initiatives of science, technology, engineering and mathematics (STEM) education, both the value for engineering education worldwide and the demand for engineering talent (following economic and social advancements) have increased (Brophy et al, 2008;Chabalengula & Mumba, 2017;Maeng et al, 2017;Puente et al, 2011). The most serious challenge encountered in many countries is developing new approaches to engineering education at the K-12 level that encourage students to consider and pursue engineering careers (Brophy et al, 2008;Kutnick et al, 2018;Silver & Rushton, 2008;Wiebe, Unfried, & Faber, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Engineering and technology should be integrated into the structure of science education at the same level as scientific inquiry (NGSS, 2013). As such, new global science education reforms have fostered a connection between engineering and science education to better prepare students and society to meet the current and future challenges of a modern and technological world (Bybee, 2011;Chabalengula & Mumba, 2017;Guzey & Ring-Whalen, 2018;Strimel & Grubbs, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Propensity Score Analysis of the Impacts of Junior Secondary Students’ Participation in Engineering Practices on their Attitudes toward Engineering

Zhan

Sun

Qiang

et al. 2019

EURASIA J MATH SCI T

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The demand for engineering talent is increasing with economic and societal developments. Along with this, nations worldwide are attaching increasing importance to engineering education under international science, technology, engineering and mathematics initiatives. In China, engineering education at university levels is dominant. Corresponding systemic engineering education at the K-12 level has yet to be established. With the aim of determining the status of K-12 engineering education, this study investigates the impacts of students' participation in engineering practice on their attitudes toward engineering. Survey responses from a sample of 2,193 students from junior secondary schools in Shanghai, China, are used. Sample selection bias is mitigated using propensity score methods based on weight hierarchy. The findings indicate the status of student participation in engineering practice and reveal the significant effect of the level of student participation in engineering practice on students' attitudes toward engineering at junior secondary schools in China.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Propensity Score Analysis of the Impacts of Junior Secondary Students’ Participation in Engineering Practices on their Attitudes toward Engineering

Zhan

Sun

Qiang

et al. 2019

EURASIA J MATH SCI T

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“…Since both projects focused on hands-on problem solving, we designed a Problem Solving Chart (Figure 1) based on the engineering design process [19]…”

Section: Design Of the Stem+c Curriculummentioning

confidence: 99%

Board 70 : Work in Progress: Integrating Computational Thinking in STEM Education through a Project-based Learning Approach

Yang

Swasnon²,

Chittoori

et al.

2018 ASEE Annual Conference &Amp; Exposition Proceedings

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“…As a heated topic in engineering education, engineering design is widely regarded as an important ingredient in STEM education and thus the Next Generation Science Standards call for its use (Bybee, 2014; National Research Council, 2012). Engineering design tasks in K-12 settings are important not only because they offer training and realistic experience to future STEM major students but because they foster all students’ ability to apply diverse knowledge taught separately in school to solve real-world problems (Chabalengula & Mumba, 2017; Mentzer et al., 2015; Yuen et al., 2015). This is a desirable goal of education since it equips the next generation with necessary problem-solving skills (Razzouk & Shute, 2012; Zheng et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Automatic Assessment of Students’ Engineering Design Performance Using a Bayesian Network Model

Xing

Chen

et al. 2020

Journal of Educational Computing Research

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Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide personalized feedback on a timely basis. This study proposes a Bayesian network model to dynamically and automatically assess students’ engagement with engineering design tasks and to support formative feedback. Specifically, we applied a Bayesian network to 111 ninth-grade students’ process data logged by a computer-aided design software program that students used to solve an engineering design challenge. Evidence was extracted from the log files and fed into the Bayesian network to perform inferential reasoning and provide a barometer of their performance in the form of posterior probabilities. Results showed that the Bayesian network model was competent at predicting a student’s task performance. It performed well in both identifying students of a particular group (recall) and ensuring identified students were correctly labeled (precision). This study also suggests that Bayesian networks can be used to pinpoint a student’s strengths and weaknesses for applying relevant science knowledge to engineering design tasks. Future work of implementing this tool within the computer-aided design software will provide instructors a powerful tool to facilitate engineering design through automatically generating personalized feedback to students in real time.

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Engineering design skills coverage in K-12 engineering program curriculum materials in the USA

Cited by 28 publications

References 16 publications

Propensity Score Analysis of the Impacts of Junior Secondary Students’ Participation in Engineering Practices on their Attitudes toward Engineering

Propensity Score Analysis of the Impacts of Junior Secondary Students’ Participation in Engineering Practices on their Attitudes toward Engineering

Board 70 : Work in Progress: Integrating Computational Thinking in STEM Education through a Project-based Learning Approach

Automatic Assessment of Students’ Engineering Design Performance Using a Bayesian Network Model

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