51,191 research outputs found
Using Remote Access for Sharing Experiences in a Machine Design Laboratory
A new Machine Design Laboratory at Marquette University has been created to foster student exploration and promote “hands-on” and “minds-on” learning. Laboratory experiments have been developed to give students practical experiences and expose them to physical hardware, actual tools, and design challenges. Students face a range of real-world tasks: identify and select components, measure parameters (dimensions, speed, force), distinguish between normal and used (worn) components and between proper and abnormal behavior, reverse engineer systems, and justify design choices. The experiments serve to motivate the theory, spark interest, and promote discovery learning in the subject of machine design.
This paper presents details of the experiments in the Machine Design Laboratory and then explores the feasibility of sharing some of the experiences with students at other institutions through remote access technologies. The paper proposes steps towards achieving this goal and raises issues to be addressed for a pilot-study offering machine design experiences to students globally who have access to the internet
Discovery Learning Experiments in a New Machine Design Laboratory
A new Machine Design Laboratory at Marquette University has been created to foster student exploration with hardware and real-world systems. The Laboratory incorporates areas for teaching and training, and has been designed to promote “hands-on” and “minds-on” learning. It reflects the spirit of transformational learning that is a theme in the College of Engineering.
The goal was to create discovery learning oriented experiments for a required junior-level “Design of Machine Elements” course in mechanical engineering that would give students practical experiences and expose them to physical hardware, actual tools, and real-world design challenges. In the experiments students face a range of real-world tasks: identify and select components, measure parameters (dimensions, speed, force), distinguish between normal and used (worn) components and between proper and abnormal behavior, reverse engineer systems, and justify design choices. The experiments serve to motivate the theory and spark interest in the subject of machine design.
This paper presents details of the experiments and summarizes student reactions and our experiences in the Machine Design Laboratory. In addition, the paper provides some insights for others who may wish to develop similar types of experiments
Towards a Theory of Software Development Expertise
Software development includes diverse tasks such as implementing new
features, analyzing requirements, and fixing bugs. Being an expert in those
tasks requires a certain set of skills, knowledge, and experience. Several
studies investigated individual aspects of software development expertise, but
what is missing is a comprehensive theory. We present a first conceptual theory
of software development expertise that is grounded in data from a mixed-methods
survey with 335 software developers and in literature on expertise and expert
performance. Our theory currently focuses on programming, but already provides
valuable insights for researchers, developers, and employers. The theory
describes important properties of software development expertise and which
factors foster or hinder its formation, including how developers' performance
may decline over time. Moreover, our quantitative results show that developers'
expertise self-assessments are context-dependent and that experience is not
necessarily related to expertise.Comment: 14 pages, 5 figures, 26th ACM Joint European Software Engineering
Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE
2018), ACM, 201
Land administration and regulation model for improved formal delivery and accessibility of urban lands in Nigeria.
Acquiring developable land for property development in suitable locations especially in urban areas is considered as a global problem, and is no exception in Nigeria. Some of the reasons responsible for this phenomenon are uncontrolled urbanisation, increasing demographic growth, complex bureaucracies, unskilled technocracy, corruption and weak institutional machineries, among others. All these had hampered smooth and efficient delivery processes and finally had decreased delivery and accessibility of urban lands in Nigeria. Therefore, this study was conducted, essentially to simplify the processes for land administrators while discharging their responsibilities, by examining and resolving those underlying factors that are affecting the optimal performance of formal land administration and regulation systems. This study adopted quantitative approach, with the use of both probabilistic and non-probabilistic sampling techniques. The respondents participated in this study were relevant government agencies and committees that are directly involved in the supply of urban land; low, medium and high density land users in eighteen (18) formal land development schemes, from two cities in each of six states of the Southwestern Nigeria. These schemes were found in Isheri and Ikorodu in Lagos State; Abeokuta and Ijebu-Ode in Ogun State; Ibadan and Ogbomoso in Oyo State; Osogbo and Ile-Ife in Osun State; Akure and Ondo in Ondo State; and Ado-Ekiti and Ijero-Ekiti in Ekiti State. Furthermore, the independent land consultants and shelter or land mandated non-governmental organisations (NGOs) were considered as the intermediate component of the land delivery and accessibility equation; so as to have balanced results that are sufficient to address these challenges. By using the Analysis of Moments of Structures Software Package (AMOS), via Structural Equation Modelling (SEM), the results show that merely nine percent (9%) of causal relationship exists between the duo of formal land administration and regulation system (FLARS) and policy development and compliance engineering (PDCE), as determining agents of formal land delivery and accessibility in Nigeria. Furthermore, these are due to the stand-alone structure of the lands regulo-administrative machineries, leading to their insignificant contribution of nine percent (9%) towards formal land delivery and accessibility. As a conclusion, close to 70% of these challenges were caused by ill-structuration, corruption, lack of collaboration and policy summersault, and thus will remain unsolved if this trend continues. Among the suggestions is that, there should be improvement to land administration operations which can be achieved through SLADECOM Model applications, where restructuring of departments and land administration regulation systems, as well as policy frameworks will be made to improve the efficiency and performances of land administration and regulation systems in Nigeria
Using Popular Media and a Collaborative Approach to Teaching Grounded Theory Research Methods
Popular movies were used in a doctoral-level qualitative research methods course as a way to help students learn about how to collect and analyze qualitative observational data in order to develop a grounded theory. The course was designed in such a way that collaboration was central to the generation of knowledge. Using media depictions had the practical advantage of enabling the group to create fieldnotes from a common set of data collected simultaneously in a short period of time. Fictional representations in popular media can provide the basis to learn about both the methods and foundational assumptions for conducting qualitative research, including the challenges of bracketing prior assumptions
Inductive knowledge acquisition experience with commercial tools for space shuttle main engine testing
Since 1984, an effort has been underway at Rocketdyne, manufacturer of the Space Shuttle Main Engine (SSME), to automate much of the analysis procedure conducted after engine test firings. Previously published articles at national and international conferences have contained the context of and justification for this effort. Here, progress is reported in building the full system, including the extensions of integrating large databases with the system, known as Scotty. Inductive knowledge acquisition has proven itself to be a key factor in the success of Scotty. The combination of a powerful inductive expert system building tool (ExTran), a relational data base management system (Reliance), and software engineering principles and Computer-Assisted Software Engineering (CASE) tools makes for a practical, useful and state-of-the-art application of an expert system
Enhancing knowledge management in online collaborative learning
This study aims to explore two crucial aspects of collaborative work and learning: on the one hand, the importance of enabling collaborative learning applications to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness, feedback and support as regards group performance and collaboration. To this end, in this paper we first propose a conceptual model for data analysis and management that identifies and classifies the many kinds of indicators that describe collaboration and learning into high-level aspects of collaboration. Then, we provide a computational platform that, at a first step, collects and classifies both the event information generated asynchronously from the users' actions and the labeled dialogues from the synchronous collaboration according to these indicators. This information is then analyzed in next steps to eventually extract and present to participants the relevant knowledge about the collaboration. The ultimate aim of this platform is to efficiently embed information and knowledge into collaborative learning applications. We eventually suggest a generalization of our approach to be used in diverse collaborative learning situations and domains
Correct and Control Complex IoT Systems: Evaluation of a Classification for System Anomalies
In practice there are deficiencies in precise interteam communications about
system anomalies to perform troubleshooting and postmortem analysis along
different teams operating complex IoT systems. We evaluate the quality in use
of an adaptation of IEEE Std. 1044-2009 with the objective to differentiate the
handling of fault detection and fault reaction from handling of defect and its
options for defect correction. We extended the scope of IEEE Std. 1044-2009
from anomalies related to software only to anomalies related to complex IoT
systems. To evaluate the quality in use of our classification a study was
conducted at Robert Bosch GmbH. We applied our adaptation to a postmortem
analysis of an IoT solution and evaluated the quality in use by conducting
interviews with three stakeholders. Our adaptation was effectively applied and
interteam communications as well as iterative and inductive learning for
product improvement were enhanced. Further training and practice are required.Comment: Submitted to QRS 2020 (IEEE Conference on Software Quality,
Reliability and Security
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