The Transformative Impact of AI Algorithms on Academic Research

Computer AI – Why I keep losing” by Si-MOCs is licensed under CC BY-NC-SA 2.0.

In today’s society, the rapid development of AI technology has created new opportunities and challenges for research in many fields. While people enjoy the benefits brought by AI technology, they are also afraid of its impact. This article aims to discuss the importance of artificial intelligence algorithms in academia and the benefits they brings to researchers, including that artificial intelligence algorithms improve the productivity and efficiency of research; enhance the analyzability and visibility of data; personalization Customized learning plans and automation for easy management. But at the same time, what risks and challenges does the development of AI technology bring to the academic community?

First of all, the development of artificial intelligence improves research efficiency and productivity. A more obvious example is the emergence of tools such as IBM Watson. “IBM can create a data set and content related to this field in the fields of law, medicine, engineering and finance.” Exclusive Watson corpus, making its content more standardized and easier to extract.” (Chen, 2016), therefore, artificial intelligence tools such as IBM Watson can analyze large amounts of academic papers and research articles in seconds, significantly speeding up researchers’ documentation Review speed. In modern society, with people’s continuous exploration of science, the total amount of knowledge reserves has reached an immeasurable level. Take astrophysics in physics as an example. This is just a small branch of physics, and the knowledge contained in it may be more than a person can study completely in a lifetime. Therefore, the emergence of AI is likely to become an important link for humans to efficiently search for and coordinate knowledge. Not only that, universities can also use AI algorithms to analyze the performance of admitted students to carry out macro-level resource allocation. This can timely discover the learning and psychological problems that students may face, and effectively improve students’ academic performance. graduation rate. Therefore, the development of artificial intelligence has effectively improved the research efficiency and productivity of modern scholars.

Secondly, artificial intelligence can enhance the efficiency of data analysis and improve data visualization. Artificial intelligence can now achieve the effect of automatic data cleaning. AI algorithms can automatically clean and pre-process large data sets, saving researchers countless times and reducing errors in data analysis. “Artificial intelligence can expand the scale of data analysis operations and reduce the operating costs in many sub-fields to achieve the effect of preprocessing data, allowing scientists to now process large data sets.” (Sun, 2022), It can be seen that artificial intelligence allows complex data to be refined and processed, and redundant and complicated data will be automatically cleaned or classified by artificial intelligence. Second, AI can also serve as a data visualization tool, such as the AI-driven data visualization tools that now exist such as Tableau and Power BI, which can create interactive and insightful visualizations that make complex research results easier to understand. For example, if you enter your data in Tableau, it can automatically generate corresponding histograms or charts. It is easy to make comparisons and even predict the possible future direction of the data. Therefore, the rapid development of artificial intelligence has enhanced scholars’ data processing capabilities and made existing data more visible, making it easier to analyze and process.

Third, AI can customize personalized research and study plans. For example, artificial intelligence-driven adaptive learning platforms such as Coursera and edX can adaptively change corresponding recommendations according to the requirements of different schools. These artificial intelligence-driven learning platforms can provide some personalized learning based on students’ strengths and weaknesses recommend.

coursera fjernundervisning mooc det moderne og det postmoderne” by Leif (Bryne) is licensed under CC BY-NC-ND 2.0.

Another example is the student GPT developed by HD Company using the open port, which can automatically make reasonable suggestions based on the learning requirements given by students. In some aspects, these artificial bits of intelligence will act as another opponent to debate with you, thereby improving your entire research plan in terms of ideological arc. Another example is artificial intelligence tutoring systems such as MATHia, which can adapt to student’s individual needs and provide targeted help for subjects such as math and physics.

These AI technologies will provide a series of tutorial ratios. They are like one-on-one lecturers for students, standing by for students 24 hours a day. These new AI technologies, which have emerged due to artificial intelligence, will undoubtedly help many students who are not good at planning or unable to find direction in their studies. And it can make up for the disadvantaged projects and subjects to a certain extent.

Fourth, the development of AI artificial intelligence algorithms promotes the automation of task management. The artificial intelligence system that is online around the clock can automatically provide the help that people need at any time according to their needs. such as admissions information and course registration, thereby reducing administrative workload. “Qassim University has a chatbot to answer students’ questions about admissions and course-related questions, and Openai is working with the school to create an AI-driven chatbot with specific features” (Kumi, 2023). In addition to this, the AI algorithms have Helped simplify human resources management tasks such as employee onboarding, payroll processing, and leave management. “The AI T-HRIS component provides two components to an organization’s ability to effectively manage employees, the first is Managing Employee Performance and Satisfaction (EPS) and the second is the Discipline Management System (DMS), which provides in-depth understanding of Employee performance and responsibilities expected.” (Votto, 2021). It can be seen that artificial intelligence algorithms have become an integral component of task management automation today.

An alternative perspective posits that the emergence of artificial intelligence algorithms poses a crisis to the integrity of the academic system. “Artificial intelligence algorithms will cause a crisis of trust in the creativity of scholars in the academic community, and extensive data participation in artificial intelligence may aggravate academic dishonesty.” (Jiayu, 2023). Artificial intelligence algorithms are an epoch-making technology. The project will definitely affect various fields. It is also a big impact and challenge to academic integrity. Some scholars or students can use AI algorithms to automatically generate articles to complete coursework tasks, resulting in a sharp decline in imagination and creativity in the academic community. In light of this counter-argument, it is crucial to assert that artificial intelligence should not be regarded as a tool but a creator in academic creation. As mentioned above, the emergence of AI algorithms allows scholars to have unlimited progress. Thinking derives the possibility of dialogue, so for an academic creation, AI may play more of a role as a collaborator or a mentor. It helps scholars revise sentences to make it easier for people to understand obscure words and sentences, find data that can be analyzed and classified differently and becomes another perspective for scholars to observe an argument itself in multiple dimensions. Of course, the current academia’s censorship system for AI technology is not perfect enough, so the large-scale static behaviour of AI’s participation in creation is indeed understandable, but I hope that with the improvement of the censorship system, one day AI technology can truly participate Integrated into academic creation, this is likely to be a major breakthrough for mankind today when the growth rate of knowledge has stagnated.

In summary, the emergence of artificial intelligence algorithms for academia not only improves research efficiency and productivity, uses algorithms to enhance data analysis, improves its visibility, personalizes students’ learning experience, reduces their failure rate and achieves Automated management of tasks. It is worth noting that artificial intelligence algorithms still cause much academic dishonesty and cause a decline in scholars’ creativity. However, this article believes that with the continuous development of censorship, AI will transform from a tool to a collaborator, and lead humans to break through the constraints of the existing knowledge system and complete an awakening.

Reference list:

1.Chen, Y., Argentinis, J. E., & Weber, G. (2016). IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research. Clinical therapeutics, 38(4), 688-701.

2.Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S. M., Wang, J., Lin, C., … & John, A. (2022). A review of earth artificial intelligence. Computers & Geosciences, 159, 105034.

3.Kurni, M., Mohammed, M. S., & Srinivasa, K. G. (2023). Chatbots for Education. In A Beginner’s Guide to Introduce Artificial Intelligence in Teaching and Learning (pp. 173-198). Cham: Springer International Publishing.

4.Votto, A. M., Valecha, R., Najafirad, P., & Rao, H. R. (2021). Artificial intelligence in tactical human resource management: A systematic literature review. International Journal of Information Management Data Insights, 1(2), 100047.

5.Jiayu, Y. (2023). Challenges and Opportunities of Generative Artificial Intelligence in Higher Education Student Educational Management. Advances in Educational Technology and Psychology, 7(9), 92-96.