scholarly journals Using Academia-Industry Partnerships to Enhance Software Verification & Validation Education via Active Learning Tools

2017 ◽  
Vol 6 (2) ◽  
pp. 69
Author(s):  
Sushil Acharya ◽  
Priyadarshan Manohar ◽  
Peter Wu ◽  
Walter Schilling

Imparting real world experiences in a software verification and validation (SV&V) course is often a challenge due to the lack of effective active learning tools. This pedagogical requirement is important because graduates are expected to develop software that meets rigorous quality standards in functional and application domains. Realizing the necessity the authors designed and developed 42 delivery hours of active learning tools consisting of Case Studies, Class Exercises, and Case Study Videos for use in courses that impart knowledge on SV&V topics viz. requirements engineering, software reviews, configuration management, and software testing. Four key skill areas sought after by employers, namely communication skills, applied knowledge of methods, applied knowledge of tools, and research exposure are used to drive the development funded by a National Science Foundation grant and perfected through an industry-academia partnership.In this paper, we discuss in detail the four project plans the researchers and their industry counterparts followed over the past two years in the development and eventual dissemination of the active learning tools. A course enhancement plan was used to drive activities related to reviewing, enhancing, and modularizing modules, identified by a gap analysis performed by focus groups comprised of industry and academic partners. The course delivery plan was used to drive activities related to developing content delivery strategies. An evaluation and assessment plan was used to drive activities related to periodically evaluating student learning and assessing the project. And finally a course dissemination plan is being used to drive activities related to distributing course modules and assessment reports. The tools have been shared through two workshops and other means with instructors in universities and industry partners.

2017 ◽  
Vol 7 (1) ◽  
pp. 13
Author(s):  
Sushil Acharya ◽  
Priyadarshan Anant Manohar ◽  
Peter Wu ◽  
Bruce Maxim ◽  
Mary Hansen

Active learning tools are critical in imparting real world experiences to the students within a classroom environment. This is important because graduates are expected to develop software that meets rigorous quality standards in functional and application domains with little to no training. However, there is a well-recognized need for the availability of effective active tools. This need has been addressed by the authors by designing, developing, and delivering, twenty delivery hours of Case Studies, sixteen delivery hours of Class Exercises, and six delivery hours of Video Case Studies for use in V&V courses. The active learning tools focus on some specific SV&V topics such as requirements engineering, software reviews, configuration management, and software testing. Four key skill areas sought after by employers, namely communication skills, applied knowledge of methods, applied knowledge of tools, and research exposure have been used to drive the development funded by a National Science Foundation grant and perfected through an industry-academia partnership. These tools have been successfully disseminated to over 25 universities with many CS, IS, SE programs incorporating the tools in their existing courses and others designing new courses based on these tools.In this paper we present data on the student feedback and pedagogical effectiveness of the strategies used to effectively incorporate and deliver the developed active learning tools by instructors at two universities. Traditional and flipped classroom delivery strategies are discussed as well as topics like pre-requisite knowledge preparation prior to class, course module presentation sequence, homework, team/individual work, collaborative discussions, and assessment tools are deliberated. The student questionnaire data from the two University Partners who used the V&V instructional activities were quite positive and showed that students were interested in the activities, saw the real-world applications, and communicated with their classmates as they solved the problems. Educational outcomes assessment demonstrated more effective learning in all key learning areas.


2019 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Pham Thi Thu Hien

Twitter and Microblogging are two separate entities but completes each other. Both of them can be used as language learning tools and their potential has been proved by several scholars. This study tries to examine students’ experiences in integrating microblogging with twitter. It is also study about the beneficial roles of microblogging with Twitter in language learning, its relation to writing, and its appropriateness in language learning. This study employs a qualitative research methodology, and case study as its research design. Semi-structured interviews and questionnaires were employed in this study to find out about participants' views about microblogging and Twitter. From this study, it can be concluded that the participants of the study underwent various experiences during the implementation of microblogging with Twitter. They also felt that microblogging with Twitter at some point advantages them to systematically arrange their ideas, and allows them to choose appropriate diction of their ideas. They also stated that Twitter can be an appropriate means in language learning, especially in English writing<em>.</em>


2018 ◽  
Vol 24 (4) ◽  
pp. 733-754
Author(s):  
Hyeon Woo Lee ◽  
Yoon Mi Cha ◽  
Kibeom Kim Kibeom Kim

i-com ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 19-32
Author(s):  
Daniel Buschek ◽  
Charlotte Anlauff ◽  
Florian Lachner

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.


Author(s):  
Elena Bartolomé ◽  
Paula Benítez

Failure Mode and Effect Analysis (FMEA) is a powerful quality tool, widely used in industry, for the identification of failure modes, their effects and causes. In this work, we investigated the utility of FMEA in the education field to improve active learning processes. In our case study, the FMEA principles were adapted to assess the risk of failures in a Mechanical Engineering course on “Theory of Machines and Mechanisms” conducted through a project-based, collaborative “Study and Research Path (SRP)” methodology. The SRP is an active learning instruction format which is initiated by a generating question that leads to a sequence of derived questions and answers, and combines moments of study and inquiry. By applying the FMEA, the teaching team was able to identify the most critical failures of the process, and implement corrective actions to improve the SRP in the subsequent year. Thus, our work shows that FMEA represents a simple tool of risk assesment which can serve to identify criticality in educational process, and improve the quality of active learning.


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