Exploring the Latest Trends in AI Technologies: A Study on Current State, Application and Individual Impacts

Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but it does not adequately address the visual inspection of AI applications. The advent of AI has led to noticeable structural changes in the field of cyber security. This study facilitates the advancement of theory about artificial intelligence (AI) across several fields. It assists researchers in determining research paths and serves as a resource for corporations and governments to strategize the use of AI in areas such as cyber security, education, healthcare, and work-life balance. Numerous nations, organizations, and writers are intricately linked via cooperation and citation networks. Artificial intelligence is an academic discipline focused on the research and advancement of computer systems, robots, and other creations that possess human-like intelligence, which is defined by cognitive powers, learning capabilities, and adaptability. This research aimed to evaluate the present trajectory and influence of Artificial Intelligence (AI) on education, healthcare, cybersecurity, and work-life balance. Based on an initial examination, this research focused on evaluating the use and impact of AI in many domains, using a specific narrative and framework. The findings of this study will enable researchers to comprehend the prevailing pattern and the influence of people on the integration of AI into daily life.

Complementary Functions and Potential of Generative AI in Algorithm Education

In today’s digital era,algorithms have become an indispensable part of our daily lives and work.Algorithm education plays a crucial role in computer science and software engineering,aiming to cultivate students’problem-solving skills and computational thinking.However,traditional algorithm education often requires significant time and efforts from teachers,lacks interactivity,and provides limited examples.The rapid advancement of AI technology,particularly generative models,and large language models(LLMs),has the potential to revolutionize computer education.Models like OpenAI’s GPT-4 and ChatGPT have conversational capabilities and contribute to various aspects of computer education.GPT-3.5,as an assistant in algorithm education,assists teachers in automatically generating explanations and algorithmic examples to enhance students’understanding of algorithms.While existing research has certain limitations,such as focusing on specific scenarios and lacking comprehensive benchmark testing,this paper explores the role of ChatGPT(GPT-3.5)in algorithm education.By refining prompts and evaluating generative capabilities,the study demonstrates that GPT-3.5 holds significant potential as a teaching aid.With an average accuracy of 0.81.GPT-3.5 can generate explanations,code examples,and visualizations of the corresponding algorithms.Other tests including algorithm problem-solving and examples giving also prove the practicability of GPT-3.5 in algorithm education.

ChatGPT: Application in Chemistry Education and Challenges

The paper discusses the advancements and applications of neural networks, specifically ChatGPT, in various fields, including chemistry education and research. It examines the benefits of AI and ChatGPT, such as their ability to process and analyze large amounts of data, create personalized training systems, and offer problem-solving recommendations. The paper delves into practical applications, showcasing how ChatGPT can be utilised to augment chemistry learning. It provides examples of using ChatGPT for creating tests, generating multiple-choice questions, and studying chemistry in general. Concerns are voiced about the ethical and societal impact of AI development. In conclusion, it explores the exciting potential of AI to tackle challenges that may exceed human capabilities alone, paving the way for further exploration and collaboration between humans and intelligent machines.

A Review of Artificial Intelligence in K-12 Education

Artificial intelligence (AI) has garnered significant interest within the educational domain over the past decade, promising to revolutionise teaching and learning. This paper provides a comprehensive overview of systematic reviews conducted from 2010 to 2023 on the implementation of AI in K-12 education. By synthesising findings from ten selected systematic reviews, this study explores the multifaceted opportunities and challenges posed by AI in education. The analysis reveals several key findings: AI’s potential to personalise learning, enhance student motivation, and improve teaching efficiency are highlighted as major strengths. However, the study also identifies critical concerns, including teacher resistance, high implementation costs, ethical considerations, and the need for extensive teacher training. These findings represent the most significant insights from the analysis, while additional findings further underscore the complexity and scope of AI integration in educational settings. The study employs a SWOT analysis to summarise these insights, identifying key areas for future research and policy development. This review aims to guide educators, policymakers, and researchers in effectively leveraging AI to enhance educational outcomes while addressing its inherent challenges.

Unlocking the Power of ChatGPT:A Framework for Applying Generative AI in Education

Purpose:Artificial intelligence(AI)chatbots,such as ChatGPT and GPT-4,developed by OpenAI,have the potential to revolutionize education.This study explores the potential benefits and challenges of using ChatGPT in education(or“educative AI”).Design/Approach/Methods:This paper proposes a theoretical framework called“IDEE”for educative AI such as using ChatGPT and other generative AI in education,which includes identifying the desired outcomes,determining the appropriate level of automation,ensuring ethical considerations,and evaluating effectiveness.Findings:The benefits of using ChatGPT in education or more generally,educative AI,include a more personalized and efficient learning experience for students as well as easier and faster feedback for teachers.However,challenges such as the untested effectiveness of the technology,limitations in the quality of data,and ethical and safety concerns must also be considered.Originality/Value:This study explored the opportunities and challenges of using ChatGPT in education within the proposed theoretical framework.

The Effectiveness of Mobile-Assisted Language Learning(MALL)Applications on the Spoken English Assessments in China’s Universities

The increased ownership of mobile phone users and the advancement of mobile applications enlarge the practicality and popularity of use for learning purposes among Chinese university students.However,even if innovative functions of these applications are increasingly reported in relevant research in the education field,little research has been in the application of spoken English language.This paper examined the effect of using a Mobile-Assisted Language Learning(MALL)application“IELTS Liulishuo”(speaking English fluently in the IELTS test)as a unit of analysis to improve the English-speaking production of university students in China.The measurement of this mobile application in its effectiveness of validity and reliability is through the use of seven dimensional criteria.Although some technical and pedagogical issues challenge adoptions of MALL in some less-developed regions in China,the study showed positive effects of using a MALL oral English assessment application characterised with Automatic Speech Recognition(ASR)system on the improvement of complexity,accuracy,and fluency of English learners in China’s colleges.

Design-Based Research on the Development and Implementation of AI Courses from the Perspective of University-Enterprise Cooperation

In recent years,China has been issuing artificial intelligence(AI)education policies to promote the deep integration between AI and education.Setting AI courses at the basic education phase can cultivate students’AI literacy and enhance the country’s science and technology competitiveness in the future.However,due to shortages of AI teachers and inadequate conditions for practice,the current AI courses in primary and secondary schools are not enough in effectiveness.In light of current problems,this study,based on the foundation of university-enterprise cooperation,integrates the“competition and education”mechanism into informal AI course design and practice.Using a design-based research paradigm,the study proposes the design framework from four dimensions:goals,themes and content,methods and steps,and evaluation,and then further refines the framework through two rounds of iterations,to provide a reference for the development and practice of AI courses.