scholarly journals Knowledge of and Competence in Artificial Intelligence: Perspectives of Vietnamese Digital -Native Students

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Pei-Ju Chao ◽  
Tsu-Hsuan Hsu ◽  
Tsai-Pei Liu ◽  
Yu-Huei Cheng
Keyword(s):  
Artificial Intelligence ◽  
Native Students ◽  
Digital Native

Creating a Personalized Artificial Intelligence Course

2012 ◽  
pp. 31-48
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Creating a Personalized Artificial Intelligence Course

2013 ◽  
pp. 262-278
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Creating a Personalized Artificial Intelligence Course

2011 ◽  
Vol 2 (1) ◽  
pp. 31-47 ◽  
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Digital Native Students

2017 ◽  
Vol 7 (2) ◽  
pp. 13-26 ◽  
Author(s):  
Su-Ting Yong
Keyword(s):  
Gender Gap ◽  
Computer Games ◽  
Qualitative Interviews ◽  
Mathematics Learning ◽  
Spatial Abilities ◽  
Native Students ◽  
Digital Native ◽  
Spatial Skills ◽  
And Mathematics ◽  
The Many

The purpose of this study was to explore gender differences among digital native students in mathematics learning and gaming. A quantitative dominant mixed methods approach was employed in which quantitative surveys [174 students] and qualitative interviews [eight students, eight parents and six teachers] were administered concurrently. Data collected has revealed that students are characterized as digital natives and do not portray a significant gender gap in technology usage. Nevertheless, males and females tend to demonstrate their digital native characteristics differently. Males are more likely to play computer games and acknowledge the many benefits of gaming. Moreover, boys have better spatial skills and they are more confident in mathematics. While females still lag behind males in spatial abilities and mathematics confidence in the past, digital native females are not helping to close the gender gap. Essentially, girls could play more computer games to strengthen their spatial abilities.

scholarly journals Digital Immigrants and Digital Natives: Learning Business Informatics at Higher Educational Level

2014 ◽  
Vol 5 (2) ◽  
pp. 84-96 ◽  
Author(s):  
Dalia Suša
Keyword(s):  
Teaching Practices ◽  
Digital Natives ◽  
Native Students ◽  
Digital Native ◽  
Digital Immigrants ◽  
Before And After ◽  
The Subject ◽  
Higher Educational ◽  
Business Informatics ◽  
High Level

AbstractBackground: The term digital natives refer to those born since the 1980s and have been growing up surrounded by technology. On the other hand, digital immigrants are born before 1980s and learned how to use technology later in life. Objectives: Goal of the paper is to explore attitudes of digital native students on the course of Business Informatics at higher educational institutions (HEIs), and to compare them with attitudes of digital immigrants. Methods/Approach: The survey was conducted in 2014 using the sample of first-year Business Informatics students from the Faculty of Economics and Business in Zagreb, Croatia. Results were compared with a research conducted in 1998. Results: In comparison to an earlier research, digital natives perceive their level of competency in the subject of Business Informatics before teaching practices much higher compared to digital immigrants. However, there is still an increase in digital native students’ level of competency in the subject before and after teaching practices. Conclusions: The research confirms a shift from digital immigrants to digital natives who show high level of interest for Business Informatics course topics and find its utility very high. However, constant improvement of delivering knowledge is needed in order to keep these high levels.

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