scholarly journals Computer Applications to Problem Solving in Some Engineering Technology Courses

2020 ◽  
Author(s):  
S. Sridhara
Keyword(s):  
Problem Solving ◽  
Computer Applications ◽  
Engineering Technology

Task Characteristics as Source of Difficulty and Moderators of the Effect of Time-on-Task in Digital Problem-Solving

2020 ◽  
Vol 58 (8) ◽  
pp. 1494-1514
Author(s):  
Zsófia Vörös ◽  
Dániel Kehl ◽  
Jean-François Rouet
Keyword(s):  
Problem Solving ◽  
Large Scale ◽  
Task Complexity ◽  
International Study ◽  
Computer Applications ◽  
Task Characteristics ◽  
Problem Solver ◽  
Time On Task ◽  
Information Problem Solving ◽  
Technology Users

To be able to solve complex information problems in a digital environment is a key 21st century skill. Technology users usually expect to achieve their goals in a fast and accurate way. However, the actual relationship between time-on-task and task outcome is currently not well understood. We analyzed data from a large-scale international study in which representative samples of adults had to solve more or less complex problems using standard computer applications. Our results indicate that different task characteristics influence the relationship between problem-solving performance and time-on-task in specific ways. Spending more time on a task is more likely to compensate an average problem solver when task complexity can be attributed to intrinsic task and technology drivers than when complexity stems from the cognitive/metacognitive activities belonging to information problem-solving processes per se, especially acquiring and evaluating information. Thus, the interpretation of time-on-task should take the source of difficulty into consideration. Implications for personal and professional development are discussed.

Potential applications of neural networks in construction

1992 ◽  
Vol 19 (3) ◽  
pp. 521-529 ◽  
Author(s):  
Osama Moselhi ◽  
Tarek Hegazy ◽  
Paul Fazio
Keyword(s):  
Neural Networks ◽  
Problem Solving ◽  
Expert Systems ◽  
Large Scale ◽  
Computer Applications ◽  
Productivity Level ◽  
The Past ◽  
Intelligent Decision Support Systems ◽  
Potential Applications ◽  
Underlying Mechanisms

During the past decade, several engineering disciplines, including construction, have embarked on developing “intelligent” decision support systems based on artificial intelligence (AI) techniques, including expert systems, symbolic knowledge representation, and logic programming. These systems attempt to capture the domain experts' intelligent behaviour and reasoning process utilized in decision-making, without regard to the underlying mechanisms producing that behaviour. This approach involves describing behaviours, usually with rules and symbols. In contrast, neural networks (NN), another AI-based technique that has been pursued on a large scale during the past few years, does not describe behaviours but rather imitate them. Neural networks are particularly superior to traditional expert systems in providing timely solutions based primarily on analogy with previous experience, rather than reasoning or computation. As such, neural networks have a great potential to work either as a supplement or as a complement to algorithmic and (or) other AI-based systems, providing more suitable tools for solving the industry ill-structured problems.This paper describes several characteristics of neural networks and outlines the advantages and limitations of commonly used NN paradigms. Potential applications of each paradigm in construction are identified. Two example applications are provided to demonstrate the problem-solving capabilities of neural networks: (i) estimation of hourly production rate of an excavation equipment; and (ii) estimation of productivity level for a construction trade. Future possibilities of integrating neural networks with other problem-solving techniques are described. Key words: construction, management techniques, neural networks, expert systems, pattern recognition, computer applications.

scholarly journals Engineering Education in an Integrated Setting

2018 ◽  
Vol 8 (3) ◽  
pp. 17 ◽  
Author(s):  
Richard Wood ◽  
Alexander McGlashan ◽  
Chang Bum Moon ◽  
Woo Young Kim
Keyword(s):  
Problem Solving ◽  
Engineering Education ◽  
Case Studies ◽  
International Student ◽  
Student Participation ◽  
Engineering Technology ◽  
Key Issues ◽  
The Subject ◽  
Subject Material

This paper serves to give brief overviews of key issues in five case studies in engineering technology stand-alone project based courses within a standard scholastic framework. The courses were offered in a range of scenarios with significant international student participation. The subject material focused on optics, opto-electronics and electronics. Topics covered in this work include; issues with managing scope, issues with adapting to open ended problem solving, and, confusion between method based teaching and guided projects. The main purpose of this paper is to share findings on preparing and delivering project based courses that are developed within a pre-existing system of courses and with a pre-existing limit of facilities.

scholarly journals Virtualización Integral de Asignaturas de Expresión Gráfica en los Grados de Ingeniería = Comprehensive Virtualization of Graphic Expression Subjects in Engineering Degrees

2021 ◽  
Vol 5 (2) ◽  
pp. 9
Author(s):  
Juan Pablo Carrasco-Amador ◽  
Justo García-Sanz-Calcedo ◽  
Francisco J. Moral ◽  
Jaime González-Domínguez ◽  
Manuel Matamoros-Pacheco ◽  
...  
Keyword(s):  
Problem Solving ◽  
Mechanical Engineering ◽  
Computer Applications ◽  
Industrial Engineering ◽  
Teaching Methodologies ◽  
Good Evaluation ◽  
The Third ◽  
Engineering Degree ◽  
Video Tutorials ◽  
Industrial Branch

El principal objetivo de este trabajo ha sido la virtualización de diferentes asignaturas del departamento de Expresión Gráfica de la Escuela de Ingenierías Industriales, entre las que se encuentran: Instalaciones Industriales y Comerciales II, Aplicaciones Informáticas para la Ingeniería e Ingeniería Gráfica. Las dos primeras se imparten en todos los Grados de Ingeniería de la Rama Industrial y la tercera, en el Grado de Ingeniería Mecánica y como asignatura optativa en el Grado de Ingeniería Electrónica y Automática. Para ello se han utilizado herramientas como OBS Studio, Zoom, Socrative o Moodle, empleadas para la elaboración de video tutoriales con resolución de problemas, cuestionarios, rúbricas y pruebas de evaluación, etc. La aplicación de las metodologías docentes descritas, así como la virtualización de los contenidos, han contribuido a mejorar y facilitar el aprendizaje por parte de los estudiantes, y han recibido una muy buena valoración y aceptación por parte de los alumnos.AbstractThe main objective of this project has been the virtualization of different subjects of the Department of Graphic Expression of the School of Industrial Engineering, among which are: Industrial and Commercial Installations II, Computer Applications for Engineering and Graphic Engineering. The first two are taught in all Engineering Degrees of the Industrial Branch and the third, in the Mechanical Engineering Degree and as an optional subject in the Electronic and Automatic Engineering Degree. For this, tools such as OBS Studio, Zoom, Socrative or Moodle have been used for the development of video tutorials with problem solving, questionnaires, rubrics and evaluation tests, etc. The application of the teaching methodologies described, as well as the virtualization of the contents, have contributed to improve and facilitate learning by students, and have received a very good evaluation and acceptance by students

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