Empowered by the rapid advancement of digital technologies,including Big Data,artificial intelligence(AI),and virtual reality,human society has transformed from the era of information to the era of digital intelligenc...Empowered by the rapid advancement of digital technologies,including Big Data,artificial intelligence(AI),and virtual reality,human society has transformed from the era of information to the era of digital intelligence.Unlike previous social formations,the digital-intelligent society has disrupted many long-held consensus norms and introduced numerous difficult challenges.To cultivate adaptive talents with general literacy of digital intelligence and specific professional competences,psychology,as one of the foundations of social sciences,must launch a revolution in future-oriented education.In higher education,the two principal components,defined by their nature and objective,are knowledge-oriented and research-oriented teaching.The former is designed to provide an introduction to the fundamental principles and basic knowledge of psychology for freshmen and sophomores,while the latter is intended to equip junior and senior undergraduates with the skills necessary for conducting scientific research.First,it is both possible and necessary to integrate AI throughout the processes of knowledge-oriented teaching.In this article,we propose a“loop model”to demonstrate the applications of AI in the knowledge-oriented phase.Furthermore,to provide a reference criterion for nurturing innovative and research-oriented students,we present a theoretical framework of“chimeric research”to provide a comprehensive overview of psychology research in the era of AI.In conclusion,psychology education needs to be aligned with the demands of the modern society and embrace digital intelligence in both knowledge-and research-oriented teaching phases.展开更多
This paper proposes a clustering technique that minimizes the need for subjective human intervention and is based on elements of rough set theory （RST）. The proposed algorithm is unified in its approach to clusterin...This paper proposes a clustering technique that minimizes the need for subjective human intervention and is based on elements of rough set theory （RST）. The proposed algorithm is unified in its approach to clustering and makes use of both local and global data properties to obtain clustering solutions. It handles single-type and mixed attribute data sets with ease. The results from three data sets of single and mixed attribute types are used to illustrate the technique and establish its efficiency.展开更多
文摘Empowered by the rapid advancement of digital technologies,including Big Data,artificial intelligence(AI),and virtual reality,human society has transformed from the era of information to the era of digital intelligence.Unlike previous social formations,the digital-intelligent society has disrupted many long-held consensus norms and introduced numerous difficult challenges.To cultivate adaptive talents with general literacy of digital intelligence and specific professional competences,psychology,as one of the foundations of social sciences,must launch a revolution in future-oriented education.In higher education,the two principal components,defined by their nature and objective,are knowledge-oriented and research-oriented teaching.The former is designed to provide an introduction to the fundamental principles and basic knowledge of psychology for freshmen and sophomores,while the latter is intended to equip junior and senior undergraduates with the skills necessary for conducting scientific research.First,it is both possible and necessary to integrate AI throughout the processes of knowledge-oriented teaching.In this article,we propose a“loop model”to demonstrate the applications of AI in the knowledge-oriented phase.Furthermore,to provide a reference criterion for nurturing innovative and research-oriented students,we present a theoretical framework of“chimeric research”to provide a comprehensive overview of psychology research in the era of AI.In conclusion,psychology education needs to be aligned with the demands of the modern society and embrace digital intelligence in both knowledge-and research-oriented teaching phases.
文摘This paper proposes a clustering technique that minimizes the need for subjective human intervention and is based on elements of rough set theory （RST）. The proposed algorithm is unified in its approach to clustering and makes use of both local and global data properties to obtain clustering solutions. It handles single-type and mixed attribute data sets with ease. The results from three data sets of single and mixed attribute types are used to illustrate the technique and establish its efficiency.
