Call for Papers Special Issue on Using Design Projects to Spur Cognitive Development of Students in Science and Engineering

Japan and the United States, the world’s largest economies for most of the past half century, have very different immigration policies. Japan is the G7 economy most closed to immigrants, while the United States is the large economy most open to immigrants. Both Japan and the United States are debating how immigrants are and can con-tribute to the competitiveness of their economies in the 21st centuries. The papers in this special issue review the employment of and impacts of immigrants in some of the key sectors of the Japanese and US economies, including agriculture, health care, science and engineering, and construction and manufacturing. For example, in Japanese agriculture migrant trainees are a fixed cost to farmers during the three years they are in Japan, while US farmers who hire mostly unauthorized migrants hire and lay off workers as needed, making labour a variable cost.

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Special Issue in Artificial Intelligence

Ciencia e Ingeniería Neogranadina ◽

10.18359/rcin.4354 ◽

2019 ◽

Vol 30 (1) ◽

pp. 7-8

Author(s):

Dora Maria Ballesteros

Keyword(s):

Artificial Intelligence ◽

Communication Networks ◽

Language Processing ◽

Autonomous Systems ◽

Big Data Analytics ◽

Human Robot Interaction ◽

Support Vector ◽

Special Issue ◽

Science And Engineering ◽

Robot Interaction

Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes it possible for machines to learn from data. Artificial Intelligence applications include prediction, recommendation, classification and recognition, object detection, natural language processing, autonomous systems, among others. The topics of the articles in this special issue include deep learning applied to medicine [1, 3], support vector machine applied to ecosystems [2], human-robot interaction [4], clustering in the identification of anomalous patterns in communication networks [5], expert systems for the simulation of natural disaster scenarios [6], real-time algorithms of artificial intelligence [7] and big data analytics for natural disasters [8].

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Comparitive Study of Cognitive Development of Students of Different School Systems in Pakistan

ISSUE1 - Journal of Peace, Development & Communication ◽

10.36968/jpdc-v04-i03-13 ◽

2020 ◽

Vol Volume 4 (Issue 3) ◽

pp. 232-250

Author(s):

Dr. Rukhsana Durrani ◽

Dr. Farkhunda Rasheed Choudhary

Keyword(s):

Public Schools ◽

Cognitive Development ◽

Systems Analysis ◽

Cognitive Abilities ◽

Quantitative Research ◽

Educational Systems ◽

Teaching Methodologies ◽

Significant Difference ◽

The Mean ◽

Development Of Students

This study was conducted to explore the cognitive development of students of Madaris, public sectors and private sectors of Islamabad. It was quantitative research. A sample of 716 students was selected randomly from three streams of education. To measure the cognitive development of students, a standardized tool was used to collect data. The tests were administered, scored, and was analyzed through SPSS. Results showed a significant difference among cognitive development of students of three educational systems. Analysis of the data showed a significant difference among scores in subtests i.e. analogies, the odd one out, and similarities. Similarly, students of the private sector had better overall means scores than the mean score of students of Madaris and public schools. As the three systems claim for development of cognitive abilities of students therefore it is recommended that the curriculum, teaching methodologies and learning resources of the three systems may be compared and streamline them for harmonious cognitive abilities of students.

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