Development of a Taxonomy of Keywords for Engineering Education Research

The diversity of engineering education research provides an opportunity for cross‐fertilization of ideas and creativity, but it also can result in fragmentation of the field and duplication of effort. One solution is to establish a standardized taxonomy of engineering education terms to map the field and communicate and connect research initiatives. This report describes the process for developing such a taxonomy, the EER Taxonomy. Although the taxonomy focuses on engineering education research in the United States, inclusive efforts have engaged 266 individuals from 149 cities in 30 countries during one multiday workshop, seven conference sessions, and several other virtual and in‐person activities. The resulting taxonomy comprises 455 terms arranged in 14 branches and six levels. This taxonomy was found to satisfy four criteria for validity and reliability: (1) keywords assigned to a set of abstracts were reproducible by multiple researchers, (2) the taxonomy comprised terms that could be selected as keywords to fully describe 243 articles in three journals, (3) the keywords for those 243 articles were evenly distributed across the branches of the taxonomy, and (4) the authors of 31 conference papers agreed with 90% of researcher‐assigned keywords. This report also describes guidelines developed to help authors consistently assign keywords for their articles by encouraging them to choose terms from three categories: (1) context/focus/topic, (2) purpose/target/motivation, and (3) research approach.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116010/1/jee20101.pd

Building a Common Ground – The Use of Design Representation Cards for Enhancing Collaboration between Industrial Designers and Engineering Designers

To achieve success in today’s commercial environment, manufacturers have progressively adopted collaboration strategies. Industrial design has been increasingly used with engineering design to enhance competitiveness. Research between the two fields has been limited and existing collaboration methods have not achieved desired results. This PhD research project investigated the level of collaboration between industrial designers and engineering designers. The aim is to develop an integration tool for enhanced collaboration, where a common language would improve communication and create shared knowledge. An empirical research using questionnaires and observations identified 61 issues between industrial designers and engineering designers. The results were grouped and coded based on recurrence and importance, outlining 3 distinct problem categories in collaborative activity: conflicts in values and principles, differences in design representation, and education differences. A taxonomy further helped categorise design representations into sketches, drawings, models and prototypes. This knowledge was indexed into cards to provide uniform definition of design representations with key information. They should benefit practitioners and educators by serving as a decision-making guide and support a collaborative working environment. A pilot study first refined the layout and improved information access. The final validation involving interviews with practitioners revealed most respondents to be convinced that the tool would provide a common ground in design representations, contributing to enhanced collaboration. Additional interviews were sought from groups of final-year industrial design and engineering design students working together. Following their inter-disciplinary experience, nearly all respondents were certain that the cards would provide mutual understanding for greater product success. Lastly, a case study approach tested the cards in an industry-based project. A design diary captured and analysed the researchers’ activities and observations on a daily basis. It revealed positive feedback, reinforcing the benefits of the cards for successful collaboration in a multi-disciplinary environment. Keywords Industrial Design, Engineering Design, Collaboration, Design Representation, New Product Development.</p

OntoMathPROOntoMath^{PRO} Ontology: A Linked Data Hub for Mathematics

In this paper, we present an ontology of mathematical knowledge concepts that covers a wide range of the fields of mathematics and introduces a balanced representation between comprehensive and sensible models. We demonstrate the applications of this representation in information extraction, semantic search, and education. We argue that the ontology can be a core of future integration of math-aware data sets in the Web of Data and, therefore, provide mappings onto relevant datasets, such as DBpedia and ScienceWISE.Comment: 15 pages, 6 images, 1 table, Knowledge Engineering and the Semantic Web - 5th International Conferenc

Analysis of sustainability presence in Spanish higher education

Purpose: This paper analyzes the presence of sustainability in sixteen Spanish Higher Education curricula in the fields of Education and Engineering. Design/Methodology/Approach: The methodology employs two instruments: the Sustainability Map and the Sustainability Presence Map. These instruments enable the following: to analyze the number of subjects that develop sustainability and the sustainability presence level in each curriculum; to identify at what domain levels of the learning taxonomy sustainability is most developed; and to analyze whether a correlation exists between the sustainability presence and the number of subjects that develop sustainability in each curriculum. Findings: A wide variety of subjects develop sustainability in a given degree, depending on the university. The presence of sustainability is more homogeneous in education degrees than in engineering degrees. Education degrees have a greater presence of sustainability in the lower domain levels of the taxonomy, while in engineering degrees the lower levels of the taxonomy have a lower presence of sustainability than the higher levels. Finally, a correlation appears to exist between the number of subjects that develop sustainability in the curriculum and the sustainability presence. However, engineering degrees seem to need fewer subjects than education degrees to achieve the same degree of sustainability presence. Originality/Value: This paper proposes a methodology to measure sustainability presence that can be applicable to the curricula of a Higher Education degree if the corresponding Sustainability Map is available. To our knowledge, this is the largest study yet conducted to analyze the presence of sustainability in different Higher Education curricula.Peer ReviewedPostprint (author's final draft

Assessment of an ePortfolio : developing a taxonomy to guide the grading and feedback for personal development planning

This paper describes the rationale for, and the design, implementation and preliminary evaluation of a taxonomy to guide the grading and feedback of ePortfolio assessment of personal development planning (PDP) in a module where PDP is integrated into the curriculum. Conventional higher education assessment methods do not adequately address the requirements of this innovative approach to learning and assessment, and a new assessment tool was felt to be necessary. Drawing on recent theories in the fields of constructive alignment, reflective practice and assessment for learning, a criteria-based taxonomy was designed with the aims of articulating criteria for achievement aligned with the learning outcomes of the module, and of ensuring valid and reliable evaluation of student achievement. Analysis of student and tutor feedback and statistical comparison of marks achieved after the pilot study have produced encouraging results. While this taxonomy was designed to be used in specific circumstances, it is capable of being adapted for use by others who deliver modules or courses where PDP embedded in the curriculum is supported and assessed by means of an ePortfolio

Mapping the sustainable development goals into the EDINSOST sustainability map of bachelor engineering degrees

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This Research to Practice Work in Progress paper presents the work conducted on the use of the Sustainability Map of Bachelor Engineering Degrees (a tool developed by the EDINSOST project) to analyze how Sustainable Development Goals (SDGs) are developed in each Degree. Over recent years, there has been a growth in the importance of working sustainability based on the SDGs. To identify which learning objective of each SDG corresponds to each learning outcome of the EDINSOST Sustainability Map, a correspondence matrix has been defined. The matrix contains the learning outcomes of the EDINSOST Sustainability Map in its rows, and the 17 SDGs in the columns. The cells of the matrix contain the learning objectives of the SDGs that correspond to each learning outcome of the EDINSOST Sustainability Map. This work in progress presents the first results of the process of mapping the SDGs into the EDINSOST Sustainability Map of Engineering Bachelor Degrees. Early results show that some of the 169 learning objectives are not applicable to Engineering Degrees. Likewise, we have seen that learning objectives have been defined more for policy makers than for engineers, and therefore adaptation is not an easy task. However, the work done has helped us to verify that the EDINSOST Sustainability Map can help in the introduction of the SDGs into the curriculum.Peer ReviewedPostprint (author's final draft

LO-MATCH: A semantic platform for matching migrants' competences with labour market's needs

Citizens' mobility and employability are receiving ever more attention by the European legislation. Various instruments have been defined to overcome lexical and semantic differences in the descriptions of qualifications, résumés and job profiles. However, the above differences still represent a significant constraint when abilities of non-European people have to be validated either for education and training or occupation purposes. In this work, a web platform that exploits semantic technologies to address such heterogeneity issues is presented. The platform allows migrants to annotate their knowledge, skills and competences in a shared format based on the European tools. The resulting knowledge base is then used to enable the automatic matchmaking of job seekers' abilities with companies' needs. The platform can additionally be used to support students and workers in the identification of their competence gap with respect to a given education or occupation opportunity, so that to personalize their further trainin

Analysis and evaluation of uncertainty for conducted and radiated emissions tests

Whenever an EMC measurement is made, there are numerous uncertainties in different parts of the measurement system and even in the EMC performance of the equipment under test (EUT) which is being measured. It is important to be able to estimate the overall uncertainty, in particular, the test setup and measurement equipment uncertainty. However, making repetitive measurements can reduce the measurement uncertainty, but often economics of time do not permit that. Therefore, a practical process, which is used to evaluate uncertainty in EMC measurement a, according to the principle of uncertainty and conditions in EMC measurement is presented. In this study, an efficient analysis of uncertainty for both radiated and conducted emissions tests is performed. The uncertainty of each contributor had been calculated and evaluating the reported expanded uncertainty of measurement is stated as the standard uncertainty of measurement. This standard uncertainty is multiplied by the coverage factor k=2, which for a normal distribution corresponds to a coverage probability of approximately 95%. The result of calculating the uncertainty for both conducted and radiated emission tests showed that the overall uncertainty of the system is high and it must be lowered by reducing the expanded uncertainty for the dominant contributors for both tests. In addition, the result of applying the concept of CISPR uncertainty for both conducted and radiated emission tests showed that non-compliance is deemed to occur for both EUT of both tests. This is due to the result that the measured disturbances increased by ( ), above the disturbance limit