Artificial Intelligence Empowering the High-Quality Development of Education:Demands,Visions,and Paths

Under the background of the two-way empowerment of artificial intelligence(AI)and education development,this paper first sorts out the demands for high-quality development of education in China in the new era from the perspectives of educational equity,talent cultivation,and contradiction resolution.Then,it focuses on the vision of AI empowering the high-quality development of education,and points out that AI is spawning new patterns and characteristics from the aspects of students’learning,teachers’development,school construction,home-school cooperation,educational governance,educational evaluation,educational equity,etc.,which has provided important driving force for the high-quality development of education.Finally,the paper proposes the paths of AI empowering high-quality development of education from the aspects of top-level design,educational reform,construction of intelligent education environment,improvement of intelligence education literacy,cultivation of innovative talent,construction of high-quality education resources,response to ethical risks,etc.,to clarify the future direction for the deep integration and development of AI and education.

AIGC Scenario Analysis and Research on Technology Roadmap of Internet Industry Application

The explosion of ChatGPT is considered to be a milestone in the normalization of artificial intelligence education applications.On the technical line,the cross-modal AI generation application based on human feedback system is accelerated.In the business model,the scenes to realize interactive functions are constantly enriched.This paper reviews the evolution process of AIGC,closely follows the current situation of the coexistence of business acceleration and technical worries in the application of artificial intelligence education,analyzes the application of AIGC education in 7 subdivided fields,and analyzes the optimization direction of application cases from the perspective of perception-cognition-creation technology maturity matrix.The 3 recommendations and 2 follow-up research directions will promote the scientific application of artificial intelligence education in the AIGC period.

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.

A Study on Human-Computer Interaction Mechanism in an Intelligent Tutoring System

Discussion is a common and important learning process.Involvement of a virtual agent can provide adaptive support for the discussion process.Argumen-tative knowledge construction is beneficial to learners’acquisition of knowledge,but the effectiveness of argumentative scaffolding in existing studies is not consistent.Based on an intelligent discussion system,a total of 47 undergraduate students took part in the experiment and they were assigned to three different conditions:content-related plus content-independent scaffolding condition,content-related scaffolding condition,and the control condition.Under the content-related and content-independent scaffolding condition,the computer agent provided an idea from semantically different categories(content-related scaffolding)according to the automatic categorization of the current contributions,and further inquired the participants about their attitudes and reasons(content-independent scaffolding).Under the condition of content-related scaffolding condition,the virtual agent only provided semantically different viewpoints.Under the control condition,the subjects expressed their opinion independently without the participation of the virtual agent.Findings revealed that compared with the control group,when the virtual agent provided semantically different ideas(content-related scaffolding),the discussion breadth(number of categories)was improved and the subjects felt that they had a more comprehensive understanding of the problem.Compared with the content-related scaffolding condition,when the virtual agent provided semantically different ideas and further asked about the attitudes and reasons,the subjects expressed more agreement with these views,but mentioned fewer categories during the discussion.This study suggests that the content-related scaffolding can facilitate the cognitive processing effect relevant to the topic of discussion.When the content independent scaffolding is added,it can promote the argumentative processing,but may have a negative effect on the cognitive processing related to the topic discussed.