The state of the art in student engagement

Senior, Carl; Howard, Chris

doi:10.3389/fpsyg.2015.00355

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…As engagement is a broad meta-construct it can be problematic because various definitions exist both within and across the different types of engagement (Fredricks et al 2016). Two dominant conceptualizations of academic engagement have emerged in the literature (for a recent debate on academic engagement see Senior and Howard 2015). adapted the Utrecht Work Engagement Scale (UWES) from the business organizations' perspective to measure student engagement in university settings.…”

Section: Introductionmentioning

confidence: 99%

University student engagement inventory (USEI): Psychometric properties

et al. 2018

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Academic engagement describes students' investment in academic learning and achievement and is an important indicator of students' adjustment to university life, particularly in the first year. A tridimensional conceptualization of academic engagement has been accepted (behavioral, emotional and cognitive dimensions). This paper tests the dimensionality, internal consistency reliability and invariance of the University Student Engagement Inventory (USEI) taking into consideration both gender and the scientific area of graduation. A sample of 908 Portuguese first-year university students was considered. Good evidence of reliability has been obtained with ordinal alpha and omega values. Confirmatory factor analysis substantiates the theoretical dimensionality proposed (second-order latent factor), internal consistency reliability evidence indicates good values and the results suggest measurement invariance across gender and the area of graduation. The present study enhances the role of the USEI regarding the lack of consensus on the dimensionality and constructs delimitation of academic engagement.

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Section: Introductionmentioning

confidence: 99%

University student engagement inventory (USEI): Psychometric properties

et al. 2018

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“…The very fact that, this learning only takes place at an individual level, and it is not enough to create a collaborative learning environment. As stated by Senior and Howard, the students who learn collaboratively achieve higher grades than students working independently, and use group work to develop and enforce their emerging professional identity [10]. Both in engineering and art & design education, they provide for each learner different learning paths to optimize their own learning curves.…”

Section: Introductionmentioning

confidence: 99%

Reshaping Teaching Strategies for Innovative Materials in Art and Design

Yenigun¹

2018

ICERI2018 Proceedings

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Textiles have faced a new challenge with the advancement of electronics and nanotechnology. Smart textiles represented the newest stage of the technological revolution, which is grounded in new fibre materials and textile manufacturing processes for fabrics exhibiting additional functionalities. These fabrics have been engineered to see, hear, sense, communicate, store and convert energy, and even tune colour. This multidisciplinary field includes end-to-end prototyping from fibre design to system integration of new textile based products, and also requires to comprehend the underpinnings of material science and nanotechnology. Classical teaching methods are not effective enough to engage and motivate students with art and design background. The real question is, "How do you teach smart textiles in graduate level, especially to the students who never studied quantum mechanics, differential equations and fluid dynamics before?" This study outlines reshaping teaching strategies for innovative and tangible materials in art and design education, and addresses the importance of student-led experiences in research projects and integration of hands-on learning.

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EEG acquisition and analysis to improve stochastic processes and signal processing understanding in Engineering students: refining active learning dynamics via interactive approach in teaching

Yoé

Mendoza

2019

Int J Interact Des Manuf

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The state of the art in student engagement

Cited by 4 publications

References 15 publications

University student engagement inventory (USEI): Psychometric properties

University student engagement inventory (USEI): Psychometric properties

Reshaping Teaching Strategies for Innovative Materials in Art and Design

EEG acquisition and analysis to improve stochastic processes and signal processing understanding in Engineering students: refining active learning dynamics via interactive approach in teaching

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