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Sasha Nikolic; Thomas F. Suesse; Sarah Grundy; Rezwanul Haque; Sarah Lyden; Ghulam M. Hassan; Scott Daniel; Marina Belkina; Sulakshana Lal – European Journal of Engineering Education, 2024
The literature on laboratory objectives in engineering education research is scattered and inconsistent. Systematic literature reviews identified the need for better understanding. This paper ranks the laboratory learning objectives across the cognitive, psychomotor and affective domains to improve scaffolding. It provides an opportunity for…
Descriptors: Engineering Education, Laboratories, Educational Objectives, Cognitive Processes
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Santos, Gilberto; Mandado, Enrique; Silva, Rui; Doiro, Manuel – European Journal of Engineering Education, 2019
The different technology fields have increased in complexity, especially during the last two decades, giving place to the concept of Complex Technology. An example is Electronics also characterised as a horizontal technology being incorporated in many products and processes of other technological areas. Bloom's taxonomy of learning objectives and…
Descriptors: Engineering Education, Computer Assisted Instruction, Taxonomy, Educational Objectives
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Violante, Maria Grazia; Moos, Sandro; Vezzetti, Enrico – European Journal of Engineering Education, 2020
This paper presents a learning outcomes-based methodology to produce a summative assessment to use in any course at any educational level. It takes into consideration the European Qualifications Framework (EQF) to define the learning outcomes, Bloom's taxonomy to define the assessment questions and the QR code to help managing large class size.…
Descriptors: Outcome Based Education, Educational Assessment, Formative Evaluation, Summative Evaluation
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Malmi, Lauri; Adawi, Tom; Curmi, Ronald; de Graaff, Erik; Duffy, Gavin; Kautz, Christian; Kinnunen, Päivi; Williams, Bill – European Journal of Engineering Education, 2018
We investigated research processes applied in recent publications in the "European Journal of Engineering Education" (EJEE), exploring how papers link to theoretical work and how research processes have been designed and reported. We analysed all 155 papers published in EJEE in 2009, 2010 and 2013, classifying the papers using a taxonomy…
Descriptors: Engineering Education, Case Studies, Qualitative Research, Mixed Methods Research
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Nikolic, Sasha; Ros, Montserrat; Jovanovic, Kosta; Stanisavljevic, Zarko – European Journal of Engineering Education, 2021
The laboratory is an integral component of engineering education, resulting in a multitude of studies. Generally, the research focus is on the laboratory innovation, rather than learning itself. It is observed that empirical evidence is strongly built around student perceptions of their learning or experience via survey instruments; and in some…
Descriptors: Engineering Education, Distance Education, Teaching Methods, Student Attitudes
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Meda, Lawrence; Swart, Arthur James – European Journal of Engineering Education, 2018
Learning outcomes are essential to any curriculum in education, where they need to be clear, observable and measurable. However, some academics structure learning outcomes in a way that does not promote student learning. The purpose of this article is to present the analyses of learning outcomes of an Electrical Engineering curriculum offered at a…
Descriptors: Engineering Education, Verbs, Taxonomy, Outcomes of Education
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Finelli, Cynthia J.; Borrego, Maura; Rasoulifar, Golnoosh – European Journal of Engineering Education, 2016
The diversity of engineering education research provides an opportunity for cross-fertilisation of ideas and creativity, but it also can result in fragmentation of the field and duplication of effort. One solution is to establish a standardised taxonomy of engineering education terms to map the field and communicate and connect research…
Descriptors: Taxonomy, Engineering Education, Workshops, Information Retrieval
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Pizard, Sebastián; Vallespir, Diego – European Journal of Engineering Education, 2017
Software engineering is the discipline that develops all the aspects of the production of software. Although there are guidelines about what topics to include in a software engineering curricula, it is usually unclear which are the best methods to teach them. In any science discipline the construction of a classification schema is a common…
Descriptors: Computer Science Education, Computer Software, Engineering Education, Taxonomy
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Staffas, Kjell – European Journal of Engineering Education, 2017
Mathematics in engineering education causes many thresholds in the courses because of the demand of abstract conceptualisation. Electronics depend heavily on more or less complex mathematics. Therefore the concepts of analogue electronics are hard to learn since a great deal of students struggle with the calculations and procedures needed. A…
Descriptors: Heuristics, Electronic Equipment, Engineering Education, Electronics
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Meyer, Jan H. F.; Knight, David B.; Callaghan, David P.; Baldock, Tom E. – European Journal of Engineering Education, 2015
Threshold concepts are transformative, integrative, and provocative; understanding these difficult concepts allows students to be capable of solving advanced problems. This investigation and evaluation of a metacognitive curricular approach explore variation in students' and teachers' discernment of structural complexity of concepts and its…
Descriptors: Course Descriptions, Civil Engineering, Engineering Education, Statistical Analysis
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Fiegel, Gregg L. – European Journal of Engineering Education, 2013
The article describes the process of incorporating a set of learning outcomes into a geotechnical engineering course. The outcomes were developed using Bloom's taxonomy and define the knowledge, skills, and abilities the students are expected to achieve upon completion of the course. Each outcome begins with an action-oriented verb corresponding…
Descriptors: Introductory Courses, Engineering Education, Behavioral Objectives, Program Descriptions