Improving computer science curriculum and teaching in the new information age
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Loop model of AI-empowered psychology education.
view moreCredit: Feng Yu1 , Yijun Zhao1 , Liying Xu1 , Kaiping Peng2
In the digital intelligence era, psychology education faces challenges and requires transformation to cultivate adaptable and interdisciplinary talents. This paper proposes two models to guide this change.
For knowledge-oriented psychology education, a “loop model” is introduced. Based on the self-regulation theory, it divides the learning process into five components: knowledge acquisition, comparator, standard, assessment, and pass. AI can play an important role in each part. For example, as a digital teaching assistant in knowledge acquisition, it breaks through time and space limitations; in setting standards, it enables personalised teaching plans.
Regarding research-oriented psychology education, a “chimeric research” framework is presented. It divides AI-psychology research into “AI for psychology” and “AI of psychology”. The former uses AI to enhance traditional psychological research methods, like accelerating literature reviews and improving hypothesis testing. The latter treats AI as a research subject, exploring how it impacts different sub-fields of psychology.
Overall, these models, guided by outcome-based education theory, aim to cultivate students into problem-solvers. Although the educational revolution is in its infancy, these ideas offer a new perspective on psychology education reform in the digital intelligence era.
The work titled “Teaching Psychology in Era of Digital Intelligence: The Role of Artificial Intelligence in Knowledge-Oriented and Research-Oriented Education”, was published on Frontiers of Digital Education (published on March 20, 2025).
“Chimeric research” framework of AI psychology.
Credit
Feng Yu1 , Yijun Zhao1 , Liying Xu1 , Kaiping Peng2
Journal
Frontiers of Digital Education
Method of Research
Experimental study
Subject of Research
Not applicable
Article Title
Teaching Psychology in Era of Digital Intelligence: The Role of Artificial Intelligence in Knowledge-Oriented and Research-Oriented Education
Leading the digital transformation of higher education through the reform of digital intelligence education: exploration and practice at Wuhan University
Higher Education Press
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Schematic representation of the integrated curriculum system for training top innovation talent in DI. DI: digital intelligence.
view moreCredit: Pingwen Zhang
In the context of the global trend of digital transformation, this research analyses Wuhan University’s practices in digital intelligence (DI) education reform to promote the digital transformation of higher education. It identifies two main gaps in current DI education research: a lack of systemic integration and actionable models.
Wuhan University has developed a comprehensive digital transformation framework. It emphasises tiered training for DI talent, covering different academic levels and fields, and integrates DI elements into discipline development. The framework aims at developing general knowledge-equipped, application-oriented, and professional talents, ensuring a seamless transition from high school to bachelor’s, master’s, and doctoral degrees. Moreover, the framework has deeply integrated the core elements of DI education, such as AI and Big Data into the development of disciplines, programs, and curriculum systems, laying a solid foundation for DI education reform. Furthermore, the framework has moved beyond the traditional model of pure education by utilising projects from its innovation and entrepreneurship center.
The university has established a teaching platform with four real computing elements, such as real data and real models, real computing power, and real scenarios to support teaching. To ensure effective evaluation, it has digitized the education evaluation system using AI-based tools. Moreover, the university has created a new DI campus ecosystem that focuses on advanced disciplines (such as natural science, geospatial science, health and medical care, industrial production, finance and business, urban‒rural government servive, law and public opinion, and culture and society), aggregates tools and software sets (such as OGE remote sensing platform), and infrastructure (such as experimental computing power zone, data resource pool, and model repository).
Despite these efforts, challenges remain, including faculty doubts about AI-based assessments, data-sharing obstacles, and ethical issues. The university is addressing these through faculty training, technological solutions, and ethical review. Looking ahead, improving AI literacy, enhancing resource sharing, and solving problems related to standardisation, security, and ethics are key to furthering the digital transformation of higher education.
The work titled “Leading the Digital Transformation of Higher Education Through the Reform of Digital Intelligence Education: Exploration and Practice at Wuhan University”, was published on Frontiers of Digital Education (published on March 20, 2025).
Overall framework of the digital intelligence education practice and innovation platform. OGE: open geospatial engine.
Credit
Pingwen Zhang
Journal
Frontiers of Digital Education
Method of Research
Experimental study
Subject of Research
Not applicable
Article Title
Leading the Digital Transformation of Higher Education Through the Reform of Digital Intelligence Education: Exploration and Practice at Wuhan University
A trinity teaching mode grounded in the MOA framework: insights from Wuhan University’s internet marketing course
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Overall framework of the proposed trinity teaching mode. MOA: motivation, opportunity, and ability; CIE: creativity–innovation–entrepreneurship.
view moreCredit: Minxue Huang1 , Yangyi (Eric) Tang1 , Yuan Liu1 , Qiyuan Wang2
In the digital economy era, higher education needs to cultivate creativity–innovation–entrepreneurship (CIE) talents. The Internet marketing course at Wuhan University redesigned its teaching to address challenges in traditional teaching methods.
Based on the MOA framework, the traditional teaching model has issues. In terms of motivation, students lack intrinsic drive as teaching doesn’t consider their interests. Regarding opportunity, limited integration of emerging realities restricts practical application. And for ability, traditional teaching overlooks self-learning and innovation capabilities.
To solve these problems, an innovative trinity teaching method was developed. In the motivation dimension, diverse assignments and peer feedback-based evaluation stimulate students’ intrinsic motivation. The opportunity dimension creates learning chances through a “four-in-one” platform and collaborative activities. The ability dimension focuses on cultivating students’ comprehensive innovative abilities.
The “four-in-one” teaching resource system, including full-process support, immersive teaching, autonomous learning, and integrated experimental platforms, supports the new teaching method. The full-process support resources facilitate five distinct learning stages in Internet marketing course, including the cognitive learning stage, simulated practice stage, application enhancement stage, knowledge expansion stage, and outcome presentation stage.
The course content was reconstructed in five dimensions: theoretical depth, technical rigour, intensive practical application, expansive knowledge, and ideological resilience. The teaching evaluation was also reformed, with peer-based assessment, differentiated assignments, and embedded ideological education.
The new teaching model has achieved positive results, such as high student satisfaction, increased employability, and excellent performance in graduate school admissions and competitions. It provides a practical approach for marketing education reform and talent cultivation in the digital economy.
The work titled “A Trinity Teaching Mode Grounded in the MOA Framework: Insights from Wuhan University’s Internet Marketing Course”, was published on Frontiers of Digital Education (published on March 20, 2025).
Full-process support resource. MOOC: massive open online courses.
Credit
Minxue Huang1 , Yangyi (Eric) Tang1 , Yuan Liu1 , Qiyuan Wang2
Journal
Frontiers of Digital Education
Method of Research
Experimental study
Subject of Research
Not applicable
Article Title
A Trinity Teaching Mode Grounded in the MOA Framework: Insights from Wuhan University’s Internet Marketing Course
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