Linking mathematics with engineering applications at an early stage – implementation, experimental set-up and evaluation of a pilot project

Rooch, Aeneas; Junker, Philipp; Härterich, Jörg; Hackl, Klaus

doi:10.1080/03043797.2015.1056095

Cited by 15 publications

(13 citation statements)

References 15 publications

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“…This finding is especially noteworthy for engineering education because it highlights the significance of math in engineering (Flegg et al, 2012; Rooch et al, 2016). Math courses are typically prerequisites for engineering degrees, and performance in these courses is significantly correlated with subsequent performance in engineering courses (Kamal et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Mathematics is central to engineering (Harris et al, 2014; Scanlan, 1985), and mathematical knowledge plays a substantial role in the engineering curriculum (Harris et al, 2014). Even though engineering programs attract students with an interest in designing, constructing, and developing machines, they require a basic mathematical foundation before delving into real‐world problems (Rooch et al, 2016). The significance of these two areas (i.e., English and math) in EMI engineering programs motivated us to examine the impact of two domain‐specific mindsets, language learning mindsets (LLMs), and math mindsets (MMs), on academic success in English‐taught and first‐language mediums of instruction (i.e., Turkish Medium of Instruction, TMI) courses for undergraduate engineering students.…”

Section: Introductionmentioning

confidence: 99%

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The effects of language learning and math mindsets on academic success in an engineering program

Kaya

Yüksel

Curle

2022

J of Engineering Edu

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Background Mindsets are based on two basic assumptions: some people think that their intellectual abilities can be developed through hard work and instruction (i.e., a growth mindset), whereas others believe that nothing can change their level of intellectual ability (i.e., a fixed mindset). The association between mindsets and academic achievement has been examined in different academic subjects, such as biology and math. However, no previous study has examined the effects of language learning mindsets (LLMs) and math mindsets (MMs) on academic success in an English medium instruction (EMI) setting in which English, rather than the first language of the students, is used for teaching content (e.g., mechatronics engineering). Purpose/Hypothesis This study explores the relationship between Turkish mechatronics engineering undergraduate students' domain‐specific mindsets, LLMs and MMs, and their academic success. Design/Method Student test scores for English medium and first‐language medium courses were collected from fourth‐year students studying mechatronics engineering (n = 68) at a public university in Turkey. Students also completed the LLM and MM inventories. Results Regression analyses revealed that growth LLM and MM were positive predictors of EMI and Turkish medium of instruction (TMI) academic success, whereas fixed LLM and MM were negative predictors of EMI and TMI academic success. Conclusions In both EMI and TMI courses, a growth mindset in math and language learning can profoundly predict students' academic achievement in a mechatronics engineering program. We argue that domain‐specific mindsets can effectively explain the self‐theories of intelligence and achievement.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effects of language learning and math mindsets on academic success in an engineering program

Kaya

Yüksel

Curle

2022

J of Engineering Edu

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“…exploring an inverted pendulum as a model for the automated control within a Segway, utilizing differential equations, or trigonometric functions as ideal models for the oscillations involved when steering a crane. Providing both theoretical input and practical experiences, in combination with students presenting their results, proved to boost students' motivation and their views on the relevance of certain mathematical content, like eigenvalues or the Taylor expansion (see also Härterich & Rooch, 2013, Rooch et al, 2016.…”

Section: Mathematical Modelling As Innovative Practicementioning

confidence: 99%

Mathematics in Engineering Education: a Review of the Recent Literature with a View towards Innovative Practices

Pepin

Biehler

Gueudet³

2021

Int. J. Res. Undergrad. Math. Ed.

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The aim of the special issue is to bring together important current international research on innovative teaching and learning practices in mathematics in engineering education, and to develop deeper understandings of the characteristics of current teaching and learning practices that can inform the design and implementation of future innovative practice. The focus of this review paper is to provide a state-of-the-art overview of this emerging field at the cross-roads between mathematics and engineering education, in addition to introducing the papers of this special issue. To guide this paper, we posed three review questions: (1) How can current (teaching/learning/study) practices of mathematics in engineering education be characterized with a view towards innovation?; (2) What are the ‘resources’ (cognitive, material, digital, social) used, and what are those that appear also well suited for innovative courses?; (3) What are promising innovative practices in mathematics in engineering education, and what are the implications for curriculum reform? Looking back across the studies we summarized in the review, we conclude that they are lagging behind the more fundamental changes that are happening in engineering education, whilst addressing selected aspects of innovative changes within the current system of engineering education. At the same time, the nine papers of this special issue contribute new perspectives for innovative practices in mathematics in engineering education, for a better understanding of current practices and for future research.

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“…(iv) Ranking of journals by the H index. In Table 3 Some additional bibliometric characteristics of the research in classroom articles, are the following: 92 articles are written in English, 18 in Spanish, and 10 in Portuguese, from which 3 articles [29,61,66] are applied for teaching and learning ordinary differential equations in high school students and the rest of articles (117) for undergraduate students.…”

Section: Assessing the Quality Of Studies (Step 3)mentioning

confidence: 99%

Classroom Methodologies for Teaching and Learning Ordinary Differential Equations: A Systemic Literature Review and Bibliometric Analysis

et al. 2021

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In this paper, we develop a review of the research focused on the teaching and learning of ordinary differential equations with the following three purposes: to get an overview of the existing literature of the topic, to contribute to the integration of the actual knowledge, and to define some possible challenges and perspectives for the further research in the topic. The methodology we followed is a combination of a systematic literature review and a bibliometric analysis. The contributions of the paper are given by the following: shed light on the latest research in this area, present a characterization of the actual research lines regarding the teaching and learning of ordinary differential equations, present some topics to be addressed in the next years and define a starting point for researchers who are interested in developing research in this field.

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Linking mathematics with engineering applications at an early stage – implementation, experimental set-up and evaluation of a pilot project

Cited by 15 publications

References 15 publications

The effects of language learning and math mindsets on academic success in an engineering program

The effects of language learning and math mindsets on academic success in an engineering program

Mathematics in Engineering Education: a Review of the Recent Literature with a View towards Innovative Practices

Classroom Methodologies for Teaching and Learning Ordinary Differential Equations: A Systemic Literature Review and Bibliometric Analysis

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