scholarly journals POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN TEACHING HIGHER MATHEMATICS

2021 ◽  
Vol 7 (73) (2) ◽  
pp. 27-39
Author(s):  
N. V. Apatova ◽  
A. I. Gaponov ◽  
O. Yu. Smirnova
Keyword(s):  
Artificial Intelligence ◽  
Semantic Network ◽  
Formal Solution ◽  
Semantic Networks ◽  
First Year ◽  
First Year Students ◽  
The Matrix ◽  
Computer Representation ◽  
Modern Level ◽  
Representation Of Knowledge

The example of application of methods of computer representation of knowledge to the «Matrix» of the higher mathematics course, the authors examine the possibility of using elements of artificial intelligence, but do not propose an exhaustive algorithm for the construction of relevant systems, and based on the known thesis: «intellectual tasks no formal solution algorithm». Moreover, we implicitly proceed from the concept that when solving problems that require the participation of human intelligence, artificial intelligence can be only an auxiliary tool. Analysis of Russian and English sources has led to the conclusion that automated the process of proving mathematical theorems with the use of artificial intelligence (including neural networks) leads first-year students does not lead first-year students to the natural goal of teaching higher mathematics – » to teach logical reasoning. Usually the result comes down to «programmed» using the keyboard that, in certain circumstances, of course, is a very useful skill. But, unfortunately, the task «to teach the student to think, to reason logically and think outside the box», based on modern level of development of artificial intelligence (machine learning), according to the authors, is not yet resolved. Using the same knowledge base in an adequate format, and semantic networks allow at least allow you to at least get closer to the possibility of using artificial intelligence in the proof of theorems of higher mathematics. Because properly constructed semantic network will greatly assist as a teacher is in presenting the proof of the theorem, and demonstrate to the students a well-known logical connections and, we hope, will interest them in creating a new one. The above arguments determine the purpose of the proposed study is to build semantic networks for proof of mathematical theorems, and to solve the so-called «proof-based» tasks. In our opinion, the results of this study will not only contribute to streamlining the structure by the teacher and better understanding by students of the relevant sections of mathematics, but few will bring the solution of the problem of formation of artificial intelligence, based on the decision of «evidence-based» tasks of higher mathematics.

SEMANTIC NETWORK ARCHITECTURES: AN EVALUATION

1992 ◽  
Vol 01 (01) ◽  
pp. 57-83
Author(s):  
JOSE G. DELGADO-FRIAS ◽  
STAMATIS VASSILIADIS ◽  
JAMSHID GOSHTASBI
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Representation ◽  
Semantic Network ◽  
Evaluation Criteria ◽  
Semantic Networks ◽  
Computer Architectures ◽  
Network Architectures ◽  
Network Processing

Semantic networks as a means for knowledge representation and manipulation are used in many artificial intelligence applications. A number of computer architectures, that have been reported for semantic network processing, are presented in this paper. A novel set of evaluation criteria for such semantic network architectures has been developed. Semantic network processing as well as architectural issues are considered in such evaluation criteria. A study of how the reported architectures meet the requirements of each criterion is presented. This set of evaluation criteria is useful for future designs of machines for semantic networks because of its comprehensive range of issues on semantic networks and architectures.

scholarly journals A Model to Introduce Medical Students to the Use of Artificial Intelligence and Genomics for Precision Medicine

2021 ◽  
Author(s):  
Philip O Alderson ◽  
Maureen J Donlin ◽  
Lynda A Morrison
Keyword(s):  
Artificial Intelligence ◽  
Active Learning ◽  
Precision Medicine ◽  
Course Design ◽  
First Year ◽  
Use Case ◽  
Gene Variants ◽  
First Year Students ◽  
Elective Course ◽  
Second Year

Objective: Despite the significant medical impact of artificial intelligence (AI) in healthcare, emergence of AI-related topics in medical curricula has been slow. The authors sought to introduce pre-clinical students to the importance of AI methodologies and medical applications using modular short courses focused on active learning with precision medicine as a primary use case. Materials and Methods: A short elective course was designed to introduce first-year students to how various bioinformatic and AI-related processes work and how they help classify medical data, facilitate genomic analysis and predict clinical outcomes. The course covers gene sequencing and variants, neural networks, natural language processing, medical computer vision and the limitations and ethical concerns related to use of AI in precision medicine. Online content serves as major source material. After a faculty-led introduction, sessions focus on teams of students who present course content to one another and lead discussions with faculty guidance. A related short AI course focused on gene variants was given to the entire second-year class. Results: The elective course has been taken by 74 first- year students over 8 consecutive semesters (2017-2021). The course achieved average satisfaction scores of 4.4/5.0 (n = 13) when the active learning approach became dominant in 2018. Students were able to describe accurately how bioinformatics and AI make personalized medicine possible. Students also did well on the gene variants exercise given to the entire second year class (2018), but the full class short AI course was not continued in subsequent years. Students have created a school-approved interest group in medical AI. Conclusions: This experience shows that AI-related materials can be sustainably introduced into pre-clinical medical education with precision medicine as the primary use case. This modular course design and content could be adapted easily for educational use in medical subspecialties and other health professions.

AN ANALYSIS ON STUDENTS’ SPEAKING ABILITY THROUGH STORYTELLING FOR GRADE X SENIOR HIGH SCHOOL

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Khairani Nur Adha And Rahmad Husein
Keyword(s):  
Research Finding ◽  
Sampling Technique ◽  
First Grade ◽  
First Year ◽  
English Teacher ◽  
First Year Students ◽  
Descriptive Research ◽  
Oral Test ◽  
Fluency And Comprehension ◽  
Low Ability

The aim of this research was to find out the ability of the first year students in speaking by using storytelling at MAS. Al-Jam’iyatul Wasliyah. The design of this research was descriptive research. The population of this research was 20 students of XC class in the first grade at MAS. Al-Jam’iyatul Wasliyah. In selecting the sample the writer used random sampling technique. The total number of the sample was 12 students. The data was collected by using oral test. The researcher only measured the ability of students’ speaking in storytelling by considering five components of speaking: (grammar, vocabulary, pronunciation, fluency, and comprehension). And their speaking had been recorded by using phone recorder. From the result of analyzing the data, the researcher found that the students’ speaking ability by using storytelling was moderate. It proved by the fact that 4 students (33.33%) classified as high ability, 4 students (33.33%) classified as moderate ability, and 4 students (33.33%) classified as low ability. Based on the data, the students’ score were bigger in the high and moderate level than in the low ability level. Based on the research finding, the English teacher is suggested to consider the five components in scoring speaking ability (grammar, vocabulary, pronunciation, fluency, and comprehension). The students are suggested to do more practice in pronunciation and fluency, because they dominantly speak incorrect pronunciation and have pauses in the sentences. Students are also suggested to enrich their vocabulary by using storytelling.

THE EFFECT OF USING NOTING INTERACTING SUMMARIZING AND PRIORITIZING STRATEGY ON STUDENTS’ ACHIEVEMENT IN READING COMPREHENSION

2013 ◽  
Vol 2 (4) ◽  
Author(s):  
Maruh Sianturi And Berlin Sibarani
Keyword(s):  
Reading Comprehension ◽  
Experimental Design ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Control Group ◽  
First Year ◽  
Teaching Reading ◽  
First Year Students ◽  
Level Of Significance ◽  
Experimental Group

This study was aimed at finding out the effect of using Noting, Interacting, Summarizing, and Prioritizing Strategy on Students’ Achievement in Reading Comprehension. This study was designed with the experimental design. The population of this study was the first year students at academic 2013/2012 of SMA swasta YP St. Paulus Martubung, Medan. There were fourty students taken as the sample of the research. The sample was divided into two groups: the first group (20 students) as the experimental group and the second group (20 students) as the control group. The experimental group was taught by Using Noting, Interacting, Summarizing, and Prioritizing Strategy, while the control group was taught by using conventional method. The instrument for collecting the data was multiple choices which consisted of 40 items. To obtain the reliability of the test, the researcher used Kuder -Richardson (KR-21) formula. The calculation showed that the reliability of the test was 0.75. The data were calculated by using t-test formula. The result of the analysis shows that t-observed (4.98) was higher than t-table (2.025) at the level of significance (α) 0.05 and the degree of freedom (df) 38. Therefore, the null hypothesis (H0) was rejected and alternative hypothesis (Ha) was accepted. It meant that teaching reading comprehension by using Noting, Interacting, Summarizing, and Prioritizing Strategy significantly affects reading comprehension.

REVERSE ENGINEERING: TENSION RATCHET DISSECTION PROJECT

2011 ◽  
Author(s):  
Jeremiah Vanderlaan ◽  
Josh Richert ◽  
James Morrison ◽  
Thomas Doyle
Keyword(s):  
Reverse Engineering ◽  
Engineering Students ◽  
Measurement Techniques ◽  
First Year ◽  
Stepping Stones ◽  
First Year Students ◽  
Final Project ◽  
Undergraduate Study ◽  
Solid Edge ◽  
Part Modeling

We are a group of engineering students, in our first year of undergraduate study. We have been selected from one thousand first year students and have competed and won the PACE competition. All engineers share a common general first year, but we have been accepted into Civil and Mechanical engineering. This project was assigned as the final project in the Design and Graphics course. The project we are tasked with, called the Cornerstone Design Project, is to first dissect a product, discover how it works, dimension each part and create a fully assembled model using CAD software (Solid Edge V20 in our case). As part of discovering how it works we must benchmark it so the device can be compared with competing products. The goal of the project is to develop a full understanding of part modeling and assembly in Solid Edge, learn proper measurement techniques, and learn the process of reverse engineering and product dissection. All of these tasks were stepping stones to help us fully understand how the device, and all its components, work.

Refining Contrapuntal Pedagogy: Reflections on Teaching Warsan Shire’s “Home” and W.H. Auden’s “Refugee Blues” to First-Year Students

2020 ◽  
Vol 24 ◽  
Author(s):  
Bridget Grogan
Keyword(s):  
Racial Identity ◽  
Teaching Practice ◽  
Human Experience ◽  
First Year ◽  
First Year Students ◽  
Poetic Voice ◽  
Teaching Poetry ◽  
Approach To Teaching ◽  
The University ◽  
The Way

This article reports on and discusses the experience of a contrapuntal approach to teaching poetry, explored during 2016 and 2017 in a series of introductory poetry lectures in the English 1 course at the University of Johannesburg. Drawing together two poems—Warsan Shire’s “Home” and W.H. Auden’s “Refugee Blues”—in a week of teaching in each year provided an opportunity for a comparison that encouraged students’ observations on poetic voice, racial identity, transhistorical and transcultural human experience, trauma and empathy. It also provided an opportunity to reflect on teaching practice within the context of decoloniality and to acknowledge the need for ongoing change and review in relation to it. In describing the contrapuntal teaching and study of these poems, and the different methods employed in the respective years of teaching them, I tentatively suggest that canonical Western and contemporary postcolonial poems may reflect on each other in unique and transformative ways. I further posit that poets and poems that engage students may open the way into initially “less relevant” yet ultimately rewarding poems, while remaining important objects of study in themselves.

Perfectionism in the transition to university: Comparing diathesis-stress and downward spiral models of depressive symptoms

2019 ◽  
Author(s):  
Shelby L. Levine ◽  
Marina Milyavskaya
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Poor Mental Health ◽  
First Year ◽  
First Year Students ◽  
Personal Standards ◽  
Downward Spiral ◽  
Personal Standards Perfectionism ◽  
Spiral Model ◽  
Diathesis Stress Model

Transitioning to university may be especially difficult for students who expect perfection from themselves. Self-critical perfectionism has consistently been linked to poor mental health. The current study compares a diathesis-stress and a downward spiral model, to determine why self-critical perfectionism is detrimental for mental health during this transition. First-year students (N=658) were recruited prior to beginning university in August and contacted again in October, January, and April. Participants completed measures on perfectionism, stress and depressive symptoms. Evidence was found for a downward spiral model with self-critical perfectionism, but not a diathesis-stress model. Students higher in self-critical perfectionism were more likely to experience increased stress and depressive symptoms in a circular and additive manner. Conversely, students higher in personal standards perfectionism experienced less stress and subsequent depressive symptoms. This research provides a theoretical model for why self-critical perfectionism is related to poor mental health outcomes which become sustained over time.

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