Jul 2026· American Journal of Education and Technology· 0 citations· 26 references
TL;DR
This paper offers significantly crucial insights into how scientific research can be streamlined through the utilization of several AI-powered applications while maintaining the academically and methodologically agreed-upon standards and ethics.
Abstract
Artificial intelligence (AI) is a multidisciplinary field concerned with the development of systems and AI-powered applications capable of performing tasks that normally require human intelligence, including natural language processing and recognition, and decision-making. AI has evolved rapidly and has increasingly influenced various sectors, including higher education and scientific research. In recent years, AI-powered tools have begun to reshape key stages of the research process, notably literature review, data collection, and data analysis. Despite this growing influence, the integration of AI into scientific research remains underexplored in the Moroccan academic sphere. This practice-oriented paper explores a wide range of AI-powered applications and how they can be effectively utilized to enhance research productivity and efficiency across different stages of the research process. This paper offers significantly crucial insights into how scientific research can be streamlined through the utilization of several AI-powered applications while maintaining the academically and methodologically agreed-upon standards and ethics.
An overview of artificial intelligence is presented by discussing its fundamental concepts, definitions, historical evolution, key characteristics, major applications, recent advancements, and notable achievements.
Mahendra Manilal Patel, Brijesh J. Gameti, Darshanaben D. Pandya· International Journal of Sci...· 0 citations
The study concludes that AI should be viewed as a supportive technology that enhances the role of librarians rather than replacing them and continuous training, policy development, infrastructure improvement, and responsible AI governance are essential for the successful integration of AI tools in libraries.
I. Ansari· Journal of Library and Infor...· 0 citations
The sections that follow trace the historical development of AI within computer science, review the principal technique families and their applications, and close with an original discussion of cross-cutting patterns, ethical obligations, and likely future directions.
Elayaraja Subbaiah, Manykandaprebou Vaitinadin, E. Kesavan· International Journal of Sci...· 0 citations
Artificial Intelligence systems can process large volumes of data quickly and accurately, helping organizations make more informed decisions, and AI-powered machines and robots help automate production, minimize human errors, and increase overall efficiency.
R. Aathilakshmi, T. Fernando· International journal of com...· 0 citations
This paper describes the study’s conclusions, including concerns and recommendations, relating to workforce development for AI in scientific research, and seeks to identify the evolving scientific needs for AI capabilities, in order to foster the utilization of AI techniques in domain science research.
Jeanette M. Sperhac, Sandra Gesing, Rob Quick et al.· Practice and Experience in A...· 0 citations
The advancement of AI in science raises broader questions concerning the division of cognitive labour between human researchers and machines, and a typology of AI systems used in research is proposed, ranging from specialised scientific AI through scientific AI assistants and agents to hybrid experimental systems that...
P. Jedlička· Teorie vědy / Theory of Scie...· 0 citations
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