scholarly journals The Effect of Teaching Using Artificial Intelligence Software’s on the Academic Achievement of the 10th Grade Students in Computer Science Subject and Their Attitudes Towards It in Jordan

2020 ◽  
Janus Head ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 53-66
Author(s):  
Hub Zwart ◽  

This paper subjects Dan Brown’s most recent novel Origin to a philosophical reading. Origin is regarded as a literary window into contemporary technoscience, inviting us to explore its transformative momentum and disruptive impact, focusing on the cultural significance of artificial intelligence and computer science: on the way in which established world-views are challenged by the incessant wave of scientific discoveries made possible by super-computation. While initially focusing on the tension between science and religion, the novel’s attention gradually shifts to the increased dependence of human beings on smart technologies and artificial (or even “synthetic”) intelligence. Origin’s message, I will argue, reverberates with Oswald Spengler’s The Decline of the West, which aims to outline a morphology of world civilizations. Although the novel starts with a series of oppositions, most notably between religion and science, the eventual tendency is towards convergence, synthesis and sublation, exemplified by Sagrada Família as a monumental symptom of this transition. Three instances of convergence will be highlighted, namely the convergence between science and religion, between humanity and technology and between the natural sciences and the humanities.


2021 ◽  
Vol 12 ◽  
Author(s):  
Kimberly Stowers ◽  
Lisa L. Brady ◽  
Christopher MacLellan ◽  
Ryan Wohleber ◽  
Eduardo Salas

In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.


Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.


2020 ◽  
Author(s):  
Tung Manh Ho

Wilson’s book is of great interest to readers of the biographical history of computer science and, more importantly, humanities scholars who would like to explore how emotions influence the works of early pioneers amongst AI theoreticians and engineers. However, I present three areas where the book can improve: engaging with affective computing, acculturation of emotion, and organization of biographical data.


Author(s):  
Rajendran P. ◽  
Anandarasu R.

The study was intended to find out the level of Scientific Attitude and academic achievement of B.Ed., trainees. This study involves a survey method. The size of the sample in the study was 941 B.Ed., trainees who were selected through the simple random sampling technique. The main objectives of the study are to the level of Scientific Attitude and academic achievement of B.Ed., trainees. To find out the significant difference in the Mean Scores of the level of scientific attitude and academic achievement of B.Ed., trainees with respect to the Demographic variables such as Gender, Year of Study, Subject, Locality of College. To find out whether there is any significant relationship between the Scientific Attitude and Academic Achievement of B.Ed., Trainees. The Statistical procedures used in this study were; Mean, Standard Deviation, ‘t’ test, and correlation to analyze the data. The Major findings of the study were; i) The level of Scientific Attitude and academic achievement of B.Ed., trainees is above average. ii) Female B.Ed., Trainees are a significantly higher level of Scientific Attitude and Academic Achievement than the Male B.Ed., Trainees. iii) Second-year B.Ed., Trainees are a significantly higher level of Scientific Attitude and Academic Achievement than the First-year B.Ed., Trainees. iv) The B.Ed., Trainees of Language Subject is significantly Higher Scientific Attitude than the Science Subject and Arts Subject. At the same time, the Science Subject is significantly having a higher level of Scientific Attitude than the Arts Subject. v) Urban B.Ed., Trainees are significantly higher levels of Scientific Attitude than the Rural B.Ed., Trainees. vi) There is a significant indifferent or negligible positive relationship between the Scientific Attitude and Academic Achievement. It's my conclusion that the present study reveals that there is several B.Ed., trainees who are having an above-average of the scientific attitude. However, the Academic Achievement of B.Ed., trainees are quite high.


Author(s):  
N. Samylkina ◽  
A. Salahova

The article provides an overview of two main possibilities of using artificial intelligence in education: as new educational tools and as the development of the theoretical and practical foundations of artificial intelligence in the school computer science course. A comparison of approaches to the use in education and the study of artificial intelligence issues at the level of secondary general education in different countries is given. The development of the topic at all levels of general education is considered.


Author(s):  
Lourdes Araujo ◽  
Fernando López-Ostenero ◽  
Juan Martinez-Romo ◽  
Laura Plaza

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