scholarly journals Some Criteria of the Knowledge Representation Method for an Intelligent Problem Solver in STEM Education

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hien D. Nguyen ◽  
Nhon V. Do ◽  
Nha P. Tran ◽  
Xuan Hau Pham ◽  
Vuong T. Pham

Nowadays, building intelligent systems for science, technology, engineering, and math (STEM) education is necessary to support the studying of learners. Intelligent problem solver (IPS) is a system that can be able to solve or tutor how to solve the problems automatically. Learners only declare hypothesis and goal of problems based on a sufficient specification language. They can request the program to solve it automatically or to give instructions that help them to solve it themselves. Knowledge representation plays a vital role in these kinds of intelligent systems. There are various methods for knowledge representation; however, they do not meet the requirements of an IPS in STEM education. In this paper, we propose the criteria of a knowledge model for an IPS in education. These criteria orient to develop a method for knowledge representation to meet actual requirements in practice, especially pedagogical requirements. For proving the effectiveness of these criteria, a knowledge model is also constructed. This model can satisfy these criteria and be applied to build IPS for courses, such as mathematics and physics.

Author(s):  
Hien D. Nguyen ◽  
◽  
Dung A. Tran ◽  
Huan P. Do ◽  
Vuong T. Pham ◽  
...  

Nowadays, intelligent systems have been applied in many real-word domains. The Intelligent chatbot is an intelligent system, it can interact with the human to tutor how to work some activities. In this work, we design an architecture to build an intelligent chatbot, which can tutor to solve problems, and construct scripts for automatically tutoring. The knowledge base of the intelligent tutoring chatbot is designed by using the requirements of an Intelligent Problem Solver. It is the combination between the knowledge model of relations and operators, and the structures of hint questions and sample problems, which are practical cases. Based on the knowledge base and tutoring scripts, a tutoring engine is designed. The tutoring chatbot plays as an instructor for solving real-world problems. It simulates the working of the instructor to tutor the user for solving problems. By utilizing the knowledge base and reasoning, the architecture of the intelligent chatbot are emerging to apply in the real-world. It is used to build an intelligent chatbot to support the learning of high-school mathematics and a consultant system in public administration. The experimental results show the effectiveness of the proposed method in comparison with the existing systems.


Minerva ◽  
2021 ◽  
Author(s):  
John D. Skrentny ◽  
Kevin Lewis

AbstractStudies of education and careers in science, technology, engineering, and math (STEM) commonly use a pipeline metaphor to conceptualize forward movement and persistence. However, the “STEM pipeline” carries implicit assumptions regarding length (i.e. that it “starts” and “stops” at specific stages in one’s education or career), contents (i.e. that some occupational fields are “in” the pipeline while others are not), and perceived purpose (i.e. that “leakage,” or leaving STEM, constitutes failure). Using the National Survey of College Graduates, we empirically measure each of these dimensions. First, we show that a majority of STEM workers report skills training throughout their careers, suggesting no clear demarcation between education and work. Second, we show that using on-the-job expertise requirements (rather than occupational titles) paints a very different portrait of the STEM workforce—and persistence in it (where substantial attrition remains evident, especially among women and African Americans). Third, we show that STEM-educated workers are well-prepared for but dissatisfied with non-STEM jobs, complicating our understanding of leaving. Collectively, these results recommend expanded conceptions of STEM education and careers and contribute to studies of science and engineering workforce transitions and diversity.


Author(s):  
Kathryn Strong Hansen

AbstractGreater emphasis on ethical issues is needed in science, technology, engineering, and mathematics (STEM) education. The fiction for specific purposes (FSP) approach, using optimistic science fiction texts, offers a way to focus on ethical reflection that capitalizes on role models rather than negative examples. This article discusses the benefits of using FSP in STEM education more broadly, and then explains how using optimistic fictions in particular encourages students to think in ethically constructive ways. Using examples of science fiction texts with hopeful perspectives, example discussion questions are given to model how to help keep students focused on the ethical issues in a text. Sample writing prompts to elicit ethical reflection are also provided as models of how to guide students to contemplate and analyze ethical issues that are important in their field of study. The article concludes that the use of optimistic fictions, framed through the lens of professional ethics guidelines and reinforced through ethical reflection, can help students to have beneficial ethical models.


Author(s):  
Yeping Li ◽  
Alan H. Schoenfeld

AbstractMathematics is fundamental for many professions, especially science, technology, and engineering. Yet, mathematics is often perceived as difficult and many students leave disciplines in science, technology, engineering, and mathematics (STEM) as a result, closing doors to scientific, engineering, and technological careers. In this editorial, we argue that how mathematics is traditionally viewed as “given” or “fixed” for students’ expected acquisition alienates many students and needs to be problematized. We propose an alternative approach to changes in mathematics education and show how the alternative also applies to STEM education.


Author(s):  
Mariam Adepeju Abdulraheem-Mustapha

Laws and policies have important roles to play in advancing the Fourth Industrial Revolution (4IR) through Science, Technology, Engineering and Mathematics (STEM) research in Nigeria. STEM education and knowledge brings about development by converging scholars across the world with recent research discoveries. In order for Nigeria to reap the maximum benefits from the 4IR, its legal system must come in line with the principles advanced by the 4IR. It is important to state that the laws which have been enacted before the contemporary era are inadequate and obsolete. Education (STEM education inclusive) which will benefit the most from thenewrevolution would demand new legal instrumentsthat are adequate and effective to cater for the legal and policy demands of the 4IR by bringing forth a more current and inclusive legal protection for all the relevant beneficiaries. Using doctrinal methodology, thispaperexamines4IR and right to education in Nigeria with a view to establishing the relationship between the legal instruments and STEM education with the objective of advancing the agenda of the relevance of all fields of education for the next generation.The paper is divided into six sections and the findings show that, education (STEM education inclusive) is bedeviled with many challenges andthe extant laws are inadequate to solve them.Thus, making the goal of 4IR unachievable in Nigeria. To reach the greatest dexterities in all works of life, the paper concludes by bringing the significance of laws and policies that wouldaccommodate free STEM education in secondary and tertiary school levels in order to answer the call for 4IR. It recommends research collaboration across STEM fields for integrated curriculum and an amendment of the Constitution. It also advocates for gender equality and investing more in STEM education for having a transformative shift in Nigeria for the purpose of achieving 4IR.


2015 ◽  
Vol 1 (1) ◽  
pp. 45-58
Author(s):  
Teruni Lamberg ◽  
Nicole Trzynadlowski

STEM (science, technology, engineering and mathematics) education has been gaining increasing nationwide attention. While the STEM movement has ambitious goals for k-12 education, a lack of shared understanding exists of what STEM is as well as how to implement STEM in the elementary classroom. This study investigates how seven elementary teachers in three STEM academy schools conceptualize and implement STEM in their classrooms. Teacher interviews were conducted. The findings reveal that the majority of teachers believe that STEM education involves integrating STEM subject areas. STEM activities consisted of student-led research and reading activities on STEM topics. Two teachers described STEM as involving “hands-on” science activities. Teachers at each STEM academy school conceptualized and implemented STEM differently. How STEM was implemented at each school was based on how teachers interpreted STEM and the resources they had access to. The STEM coaches played a central role in supporting the elementary teachers to plan and implement lessons. Teachers relied on them for ideas to plan and teach STEM lessons. The results of this study indicate that as more schools embrace the STEM movement, a unified understanding and resources are needed to support teachers.


2021 ◽  
Vol 4 (4) ◽  
pp. 605-623
Author(s):  
Tarık Talan

Augmented reality applications in STEM education have increasing importance in recent years and it draws attention that scientific studies on this subject have gained momentum in the literature. The purpose of this research is to conduct a bibliometric analysis of studies on the use of augmented reality applications in STEM education in the literature. The Web of Science database has been used to collect the data. A total of 741 studies were accessed by going through various screening processes for the research. Content analysis and bibliometric analysis have been used in the analysis of the data. In the research, the distribution of publications by years and countries and the most published authors, journals, and countries were accessed. As a result of the research, in terms of the institutions with which the authors work, "National Taiwan University of Science Technology" ranked near the top for the number of citations and "National Taiwan Normal University" ranked near the top for the number of publications as the most productive institutions. It has been detected that "Wu, H. –K." and "Chang, H. –Y" are the most effective and productive researchers. According to the analysis conducted in the context of journals, "Computers Education" and "Interactive Learning Environments" have been the journals that contributed the most to this subject. As a result of the analysis, it was found that the co-authorship network structure is predominant in England and Spain. Concepts that become apparent in clusters in co-occurrences analysis are "augmented reality", "virtual reality", "mobile learning", "science education" and "mixed reality".


2015 ◽  
Vol 15 (6) ◽  
pp. 16-28
Author(s):  
Liu Jian ◽  
Huang Haisong ◽  
Pan Weijie

Abstract Based on knowledge representation in product design, we propose a knowledge model of the product design process based on graphical semantic perception. The ontology semantic of the product is analyzed together with the product design process knowledge. Then the basic element model for knowledge representation of the product design process is built. With the concepts of the extension origin point basic element and extension vector thus defined, knowledge representation, consisting of growth, convergence and optimization is realized. On this basis, the model for case base clustering based on graphical semantics is built. Feasibility verification is performed with the case of appearance design of a machine tool. The highlight of the proposed method lies in the combination of the formalized and quantitative approach for product appearance design.


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