How Education and Industry Partner on Work-Based Learning

2020 ◽  
Keyword(s):  
Industry Partner

Paper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designers

i-com ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 19-32
Author(s):  
Daniel Buschek ◽  
Charlotte Anlauff ◽  
Florian Lachner
Keyword(s):  
Machine Learning ◽  
Development Process ◽  
User Study ◽  
Concept Development ◽  
Lessons Learned ◽  
Design Tool ◽  
Learning Tools ◽  
Interface Elements ◽  
Industry Partner

Abstract This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.

scholarly journals Management of an Industry Standard Class in Vocational High Schools

2018 ◽  
Vol 24 (1) ◽  
pp. 46-51
Author(s):  
Suroto Suroto ◽  
Nguyen Tien Hung
Keyword(s):  
High Schools ◽  
Qualitative Study ◽  
Teaching And Learning ◽  
The Third ◽  
Industry Partner ◽  
Industry Standard ◽  
Learning Evaluation ◽  
Vocational High Schools ◽  
Using Data ◽  
Selection Of

To remove a growing gap between students’ skills received in vocational high schools and real demands in the workforce, industries should be actively involved not only as external users but to work in curriculum development and learning evaluation. This study describes the process of planning, implementation, and supervision of an industry standard class resulted from collaboration between the school and the industry. This study was a qualitative study using data collection techniques of interviews, observation and documentation. The results revealed (1) the industry and the school were partners in planning the industry standard class including development of curriculum, facilities, infrastructure, teachers, and materials, (2) implementation of the class included theoritical and practical learning, and industry practices, (3) supervision was performed by the industry partner administrating industry standard competency tests, and (4) management of the class consisted of three sequenced stages namely selection of students in the third semester, implementation of industry standardized teaching and learning process from the third semester to the sixth semester, and a competency test in the sixth semester.

scholarly journals The industry engagement ladder

2020 ◽  
Vol 2 (3) ◽  
pp. 125-139
Author(s):  
Dylan Rees ◽  
Qiru Wang ◽  
Robert S. Laramee
Keyword(s):  
Computer Science ◽  
Design Methodology ◽  
Science Department ◽  
Content Type ◽  
Industry Partner ◽  
Starting Point ◽  
Industry Engagement ◽  
University Department ◽  
Collaborative Activities ◽  
Selection Of

PurposeThis paper is a response to a frequently asked question from prospective industry partners searching for opportunities to collaborate with the Computer Science Department of Swansea University, UK. This paper seeks to provide structured guidance in the form of what is titled the Industry Engagement Ladder.Design/methodology/approachThe Industry Engagement Ladder presents a selection of collaboration opportunities, outlining the possible cooperation mechanisms between an industry partner and the academic institution.FindingsOpportunities are described and ranked according to the amount of investment required by the industrial partner, and therefore risk, from low to high.Originality/valueThis concise paper provides a quick reference for perspective industry academia collaboration opportunities, the risks involved with each, the possible funding available to help foster these partnerships and the benefits to industry. These collaborative activities (and variations thereof) can be incorporated by any university department. The manuscript offers an ideal starting point for industry–university collaboration.

scholarly journals First Steps to Evaluate an NLP Tool’s Medication Extraction Accuracy from Discharge Letters

2021 ◽  
Author(s):  
Deniz Caliskan ◽  
Jakob Zierk ◽  
Detlef Kraska ◽  
Stefan Schulz ◽  
Philipp Daumke ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Data Warehouse ◽  
Language Processing ◽  
Gold Standard ◽  
Evaluation System ◽  
University Hospital ◽  
Industry Partner ◽  
Standard Medication ◽  
The University ◽  
F Measure

Introduction: The aim of this study is to evaluate the use of a natural language processing (NLP) software to extract medication statements from unstructured medical discharge letters. Methods: Ten randomly selected discharge letters were extracted from the data warehouse of the University Hospital Erlangen (UHE) and manually annotated to create a gold standard. The AHD NLP tool, provided by MIRACUM’s industry partner was used to annotate these discharge letters. Annotations by the NLP tool where then compared to the gold standard on two levels: phrase precision (whether or not the whole medication statement has been identified correctly) and token precision (whether or not the medication name has been identified correctly within correctly discovered medication phrases). Results: The NLP tool detected medication related phrases with an overall F-measure of 0.852. The medication name has been identified correctly with an overall F-measure of 0.936. Discussion: This proof-of-concept study is a first step towards an automated scalable evaluation system for MIRACUM’s industry partner’s NLP tool by using a gold standard. Medication phrases and names have been correctly identified in most cases by the NLP system. Future effort needs to be put into extending and validating the gold standard.

scholarly journals Enhancing Cultural Intelligence and Digital Literacy in Accounting Education: Insights from a University’s Global Student Consulting Programme

2021 ◽  
Vol 9 (2) ◽  
pp. 1-12
Author(s):  
Clarence Goh ◽  
Yuanto Kusnadi ◽  
Gary Pan ◽  
Poh Sun Seow
Keyword(s):  
Active Learning ◽  
Cultural Competency ◽  
Digital Literacy ◽  
Recent Literature ◽  
Learning Experience ◽  
Project Based Learning ◽  
Cross Cultural ◽  
Faculty Members ◽  
Accounting Education ◽  
Industry Partner

Recent literature has advocated for the use of project based learning to engage students in active learning. This study examines how students’ learning is enhanced through an overseas project-based learning (PBL) programme at a Singapore University (UNIS), called the UNIS-XO pedagogy. Specifically, this study provides a framework through which students, faculty members, and industry partner can collaborate through consulting programs with the aim to provide feasible recommendations to the clients. Our findings suggest that an experiential PBL with an overseas client is an important learning experience through which students can strengthen their digital literacy as well as cross-cultural competency to make them more futureready for their work.

scholarly journals Are investigators’ access to trial data and rights to publish restricted and are potential trial participants informed about this? A comparison of trial protocols and informed consent materials

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Asger S. Paludan-Müller ◽  
Michelle C. Ogden ◽  
Mikkel Marquardsen ◽  
Karsten J. Jørgensen ◽  
Peter C. Gøtzsche
Keyword(s):  
Informed Consent ◽  
Ethics Committees ◽  
Freedom Of Information ◽  
Trial Conduct ◽  
Industry Partner ◽  
Trial Protocols ◽  
Information Requests ◽  
Trial Participants ◽  
Specific Reason ◽  
Potential Trial

Abstract Objectives To determine to which degree industry partners in randomised clinical trials own the data and can constrain publication rights of academic investigators. Methods Cohort study of trial protocols, publication agreements and other documents obtained through Freedom of Information requests, for a sample of 42 trials with industry involvement approved by ethics committees in Denmark. The main outcome measures used were: proportion of trials where data was owned by the industry partner, where the investigators right to publish were constrained and if this was mentioned in informed consent documents, and where the industry partner could review data while the trial was ongoing and stop the trial early. Results The industry partner owned all data in 20 trials (48%) and in 16 trials (38%) it was unclear. Publication constraints were described for 30 trials (71%) and this was not communicated to trial participants in informed consent documents in any of the trials. In eight trials (19%) the industry partner could review data during the trial, for 20 trials (48%) it was unclear. The industry partner could stop the trial early without any specific reason in 23 trials (55%). Conclusions Publication constraints are common, and data is often owned by industry partners. This is rarely communicated to trial participants. Such constraints might contribute to problems with selective outcome reporting. Patients should be fully informed about these aspects of trial conduct.

Product Development via Industry-University Joint R&D Ventures: What Makes a “Win-Win” Partnership?

2004 ◽  
Author(s):  
T. J. Nye
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Product Innovation ◽  
Fundamental Difference ◽  
Analytic Model ◽  
Industry Partner ◽  
Significant Potential ◽  
Interesting Insight ◽  
Potential Benefits ◽  
The University

There are substantial benefits for both industry and universities from performing joint R&D projects. Given the significant potential benefits, both tangible and intangible, the level of such activity, however, seems surprisingly low. One reason hypothesized for this discrepancy is that the potential partners are motivated towards opposite goals: industry wishes to limit publication of research results due to fears of loss of competitive advantage in their markets as competitors obtain the benefits of the research at no cost, while academia is motivated to maximize publication. Intuitively, this would seem to be a fundamental difference between the potential partners. This paper studies this issue through the use of insights gained by a new analytic model of the profitability of such collaborations. First amongst these is that given the typical speed of product innovation and the typical publishing delay found in archival journals, little or no competitive advantage is expected to be lost by the industrial partner by allowing unrestricted publication freedom to the university partner. A second interesting insight occurs in the situation where a firm’s competitor forms the collaboration with the university partner. In general, if it is profitable for one industry partner to join the collaboration, the most beneficial decision for other firms in that market is to also join the collaboration.

Sign in / Sign up

Export Citation Format

Share Document