scholarly journals WIP: High-Achieving Students’ Perceptions of and Approaches to Problem Solving in Introductory Engineering Science Courses

2020 ◽  
Author(s):  
Rebecca LeBow ◽  
Kristen Wendell ◽  
Jessica Swenson
Keyword(s):  
Problem Solving ◽  
Engineering Science ◽  
Science Courses ◽  
High Achieving Students ◽  
High Achieving

scholarly journals Kemampuan Pemahaman Konsep Matematis Ditinjau dari Kompetensi Keahlian

2020 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Afrida Adis Febriantika
Keyword(s):  
Problem Solving ◽  
Conceptual Understanding ◽  
Qualitative Method ◽  
Sampling Technique ◽  
Fashion Design ◽  
Purposive Sampling ◽  
High Achieving Students ◽  
Low Achieving Students ◽  
High Achieving ◽  
Hotel Accommodation

This research aimed to describe the mathematic conceptual understanding skills based on the expertise competency of grade X students of SMK Negeri 3 Purwokerto. This research applied the descriptive qualitative method. The sample was collected through the purposive sampling technique. This research collected two subjects from each of high and low achieving category in each expertise competency. The categories of high and low achieving students were based on the minimum required score. The data were collected through a test of mathematics conceptual understanding skills and interviews. The data were validated using the triangulation technique. The results of the research showed that (1) students of hotel accommodation department had a better mathematics conceptual understanding skill than students of the catering management department. It happened because the category of high achieving students of accommodation department fulfilled all indicators of mathematics conceptual understanding skills and the category of low achieving students of accommodation department only fulfilled the indicators of giving examples and non-examples from the concept being learned. (2) Students of catering management department had a better mathematic conceptual understanding skill than students of the fashion design department. It happened because the category of high achieving students of catering management department did not fulfill one indicator of presenting the concept in some forms of mathematic representations and the category of low achieving students of catering management department did not master all of the indicators. (3) The category of high achieving students of the fashion design department mastered all indicators of mathematics conceptual understanding skills of giving examples and non-examplesform the concept being learned and presenting the concept in some forms of mathematic representation. Meanwhile, the category of low achieving students of the fashion design department only mastered the indicator of applying concept or algorithm to problem-solving.

Dynamics in Knowledge

2012 ◽  
pp. 1595-1612 ◽  
Author(s):  
Shigeki Sugiyama
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Problem Solving ◽  
Small Area ◽  
Social Study ◽  
Engineering Science ◽  
The Past ◽  
Intelligent Software ◽  
System Method ◽  
Modern Engineering

Since the idea of “artificial intelligence with knowledge” had been introduced, so many thoughts, theories, and ideas in various fields of engineering, science, geology, social study, economics, and management methods have been proposed. Those things have been started as an extension of modern engineering control theories and practices. Firstly, expert system by using IF-Then rules came up to at a production spot in manufacturing, and then agent system method by using intelligent software programs for design, planning, scheduling, production, and management in manufacturing. And then after, the idea of “Knowledge” burst into the artificial intelligence field as a real aid for getting any purpose to be accomplished by having augmented the past key knowledge in terms of management (controlling). However, those augmented knowledge methods used to have usages only in a limited small area. In addition to this, lots of works have to be done before making the systems work for a target problem solving. And what is worse, lots of parts of systems have to be customized for a new application. This chapter introduces a new direction and a method in “Knowledge” by inaugurating the brand new idea of “Dynamics in Knowledge,” which will behave more flexibly and intelligently in real usages.

Sign in / Sign up

Export Citation Format

Share Document