Prognosis of artificial intelligence in education

LatIA, Journal Year: 2024, Volume and Issue: 3, P. 107 - 107

Published: Oct. 16, 2024

The Higher Education Institutions require emphasis on disruptive intelligent systems which includes Artificial Intelligence that challenges conventional methods with improved products and services. This study aimed to know the trend artificial intelligence in engineering education. Specifically, it profile of respondents, level utilization tools education, if there is significant relationship between respondents AI used propose a model paper quantitative correlational research. Result showed majority has more work experience, found most teachers have five years or experience terms educational attainment, had master’s degree. are generally “Sometimes Utilized” education respondents' profiles no use technologies, often occasionally To fully utilize capabilities achieved offers number particular actions, including institutional in-house training, awareness campaigns, research conferences, informal information exchange.

Language: Английский

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Design of AI in leadership

LatIA, Journal Year: 2024, Volume and Issue: 3, P. 118 - 118

Published: Oct. 16, 2024

The present research aims to demonstrate the dominance of AI-based technologies over Leadership sector in Industry 4.0 by combining two main industries, such as "artificial intelligence" and "leadership." Artificial Intelligence (AI) has had a notable impact on technical social working environment due growing use AI-supported technology. In particular, recognise address needs difficulties faced leaders majority organisations. current essay emphasises how crucial leadership is adoption AI business. It been thought that thorough examination literature studies now existence would need for techniques businesses. divided into four categories: Process Strategic Transformation, Competencies Qualification, Culture, Interaction Human-AI. This division was made based analysis review. study's findings provide potential paths further growth, well view.

Language: Английский

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Responsive e-learning dynamic assessment structure using intelligent learning design

Gamification and Augmented Reality., Journal Year: 2024, Volume and Issue: 3, P. 102 - 102

Published: Oct. 18, 2024

A previously created e-learning model and learning system research have been conducted based on the 'one size fits all' idea. This approach ignores distinctions between learners pupils, delivering same educational content to each one. With advent of a new R&D style, researchers' students' demands preferences will shift. These days, quick courses come with online videos, audios, desktop recording capabilities that used need separate software. In contrast printed textual lectures, students learn more effectively enhance their abilities using onscreen instructional materials. As consequence, there is for adaptable knowledge-based assessment. article focusses mostly learner modelling module illustrates an system. Students who are accountable meeting this criteria in order assess degree performance environment satisfy specific needs.

Language: Английский

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Insights into antimalarial and anti-tuberculosis activities of Schiff base transition metal complexes: molecular docking and ADMET profiling approaches

Research on Chemical Intermediates, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 22, 2024

Language: Английский

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