NEW CRITICAL IMAGINARIES AND REFLECTIONS ON ROBOTS AND ARTIFICIAL INTELLIGENCE: HOW TEACHERS’ PROGRAMMING KNOWLEDGE COULD AFFECT FUTURE EDUCATIONAL TECHNOLOGY

2020 ◽  
Author(s):  
Sara Ekström ◽  
Ana Fuentes
Keyword(s):  
Artificial Intelligence ◽  
Educational Technology ◽  
Programming Knowledge

scholarly journals APPLICATIONS OF COMPUTER VISION IN AGRICULTURE

2021 ◽  
Vol 5 (9) ◽  
Author(s):  
Pranav Ghadge ◽  
Riddhik Tilawat ◽  
Prasanna Sand ◽  
Parul Jadhav
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Computer Vision ◽  
Educational Technology ◽  
Satellite System ◽  
High Quality ◽  
Agricultural Applications ◽  
Efficient Processing

Satellite system advances, remote sensing and drone technology are continuing. These progresses produce high-quality images that need efficient processing for smart agricultural applications. These possibilities to merge computer vision and artificial intelligence in agriculture are exploited with recent deep educational technology. This involves essential phenomena of data and huge quantities of data stored, analysed and used when making decisions. This paper demonstrates how computer vision in agriculture can be used.

scholarly journals The Effect of Artificial Intelligence (Microbit) in Raising the Motivation Towards Learning Programming Among the Students of Educational Technology at King Abdulaziz University in Jeddah: أثر الذكاء الاصطناعي المايكروبت (Microbit) في رفع الدافعية نحو تعلُّم البرمجة لدى الطالبات في مقرر تقنيات التعليم بجامعة الملك عبد العزيز بجدة

2021 ◽  
Vol 5 (30) ◽  
pp. 58-76
Author(s):  
Samaher Ahmed Al-Qarni, Amani Mohammed Omran Samaher Ahmed Al-Qarni, Amani Mohammed Omran
Keyword(s):  
Artificial Intelligence ◽  
Educational Technology ◽  
Educational Institutions ◽  
Artificial Intelligence Techniques ◽  
Before And After ◽  
Quasi Experimental ◽  
King Abdulaziz University ◽  
Effective Role ◽  
Level Of Significance ◽  
Learning Programming

The research seeks to know the effect of Artificial Intelligence (Microbit) in raising the motivation towards learning programming among the students of educational technology at King Abdulaziz University in Jeddah. The sample consisted of (14) students, and the research followed the quasi-experimental method for one experimental group. Also, a pre-measurement and post-measurement was done by using the motivation measure towards learning programming. The results of the research confirmed that there were statistically significant differences at the level of significance (0.001) between the results of students for their motivation towards learning programming before and after the use of the (Microbit) in favor of post-measurement. The research also recommended the importance of employing artificial intelligence techniques in curricula and academic projects for its effective role in making the education process active, improving the performance of male and female students and raising their motivation. As well as, preparing educational institutions and centers, and training teachers to work using artificial intelligence techniques, especially the Microbit device.

scholarly journals Developing Smart Learning Environments in Line with the Future Requirements of Artificial Intelligence: Saudi Universities

2022 ◽  
pp. 1-8
Author(s):  
Salim Alanazy
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Educational Technology ◽  
Learning Environments ◽  
Smart Learning ◽  
Smart Learning Environments ◽  
Study Results ◽  
The Future ◽  
Challenges And Opportunities ◽  
E Learning

The current study aims to develop smart learning environments in Saudi universities in line with the future requirements of artificial intelligence. To achieve this goal, a systematic review was conducted on studies published on Scopus and Google Scholar databases from 1990 until 2021 on the development of e-learning in the light of artificial intelligence (in addition to the relevant Arab studies). First, a list of challenges and opportunities for developing smart learning environments according to the future requirements of artificial intelligence was composed. Then, a questionnaire was prepared and reviewed by several academic experts in educational technology in Saudi universities. The study results include many challenges expected to be encountered in the smart learning environments in Saudi universities concerning the future preconditions for artificial intelligence. It also presented a number of opportunities and procedures for facing such challenges and exploiting the opportunities. Finally, some recommendations and suggestions were presented.

scholarly journals The Mobilisation of AI in Education: A Bourdieusean Field Analysis

Sociology ◽  
2020 ◽  
pp. 003803852096788
Author(s):  
Huw C Davies ◽  
Rebecca Eynon ◽  
Cory Salveson
Keyword(s):  
Artificial Intelligence ◽  
Educational Technology ◽  
Field Analysis ◽  
Knowledge Graph ◽  
Novel Method

Artificial Intelligence (AI) is currently hailed as a ‘solution’ to perceived problems in education. Though few sociologists of education would agree with its deterministic claims, this AI solutionist thinking is gaining significant currency. In this article, using a relatively novel method for sociology – a knowledge graph – together with Bourdieusean theory, we critically examine how and why different stakeholders in education, educational technology and policy are valorising AI, the main concepts, such as personalisation, they collectively endorse and their incentives for doing so. Drawing on this analysis, we argue that AI is currently being mobilised in education in problematic ways and advocate for more systematic sociological thinking and research to re-orientate the field to account for society’s structural conditions.

“Through the looking glass: envisioning new library technologies” how artificial intelligence will impact libraries

2016 ◽  
Vol 33 (5) ◽  
pp. 5-8 ◽  
Author(s):  
Peter Fernandez
Keyword(s):  
Artificial Intelligence ◽  
Educational Technology ◽  
Design Methodology ◽  
Emerging Technologies ◽  
Basic Knowledge ◽  
Human Intelligence ◽  
Content Type ◽  
Recent Developments ◽  
Basic Concepts ◽  
Looking Glass

Purpose This is the second of a two-part series on artificial intelligence (AI). The first column summarized some of the basic concepts necessary to understand AI and why recent developments indicate that it is poised to radically transform an array of emerging technologies. Design/methodology/approach This column will assume some basic knowledge of AI, to more fully explore how this technology is likely to impact libraries in the future in the areas of search, educational technology and logistics. Findings At its core, AI is a group of technologies that attempts to enable computers to solve problems in more dynamic ways than they previously have been able to do. Often, these efforts are conceptualized as replicating human intelligence in their functionality, even if they often use radically different underlying methods. Originality/value One key difference is that computers have inherent advantages over humans in absorbing and processing certain types of data. As a result, what can be done once a computer is capable of making more complex inferences can be truly remarkable, particularly when AI is used to empower humans in accomplishing otherwise tedious or difficult tasks.

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