{"title":"用生成式人工智能教学项目管理:负责任和可持续实践的教学模式","authors":"Terri Iacobucci Ruark, Cristiane Biazzin","doi":"10.1016/j.ijme.2025.101232","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents an innovative pedagogical approach integrating generative AI into project management education across five MBA courses. The research examines a structured teaching model where students applied AI tools to self-selected “Dream Projects” aligned with their career aspirations. Data analysis of 863 student submissions revealed that AI-enhanced project-based learning transformed the educational experience by repositioning faculty as learning facilitators and enabling students to engage with complex project management challenges more effectively. The teaching approach was organized around five structured modules that systematically incorporated AI applications throughout the project lifecycle, from initiation and planning to execution and closure. Students demonstrated improved decision-making capabilities, particularly in scheduling, risk assessment, and stakeholder communication, with 93 % actively applying AI tools across multiple project phases. The pedagogical model contributes to sustainable development goals by enhancing quality education (SDG 4), preparing students for evolving workplace demands (SDG 8), and developing the technical fluency needed for industrial innovation (SDG 9). This approach demonstrates how higher education can simultaneously cultivate technological competence and ethical judgment while preparing students for an AI-transformed professional landscape.</div></div>","PeriodicalId":47191,"journal":{"name":"International Journal of Management Education","volume":"23 3","pages":"Article 101232"},"PeriodicalIF":7.4000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Teaching project management with generative AI: A pedagogical model for responsible and sustainable practice\",\"authors\":\"Terri Iacobucci Ruark, Cristiane Biazzin\",\"doi\":\"10.1016/j.ijme.2025.101232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents an innovative pedagogical approach integrating generative AI into project management education across five MBA courses. The research examines a structured teaching model where students applied AI tools to self-selected “Dream Projects” aligned with their career aspirations. Data analysis of 863 student submissions revealed that AI-enhanced project-based learning transformed the educational experience by repositioning faculty as learning facilitators and enabling students to engage with complex project management challenges more effectively. The teaching approach was organized around five structured modules that systematically incorporated AI applications throughout the project lifecycle, from initiation and planning to execution and closure. Students demonstrated improved decision-making capabilities, particularly in scheduling, risk assessment, and stakeholder communication, with 93 % actively applying AI tools across multiple project phases. The pedagogical model contributes to sustainable development goals by enhancing quality education (SDG 4), preparing students for evolving workplace demands (SDG 8), and developing the technical fluency needed for industrial innovation (SDG 9). This approach demonstrates how higher education can simultaneously cultivate technological competence and ethical judgment while preparing students for an AI-transformed professional landscape.</div></div>\",\"PeriodicalId\":47191,\"journal\":{\"name\":\"International Journal of Management Education\",\"volume\":\"23 3\",\"pages\":\"Article 101232\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Management Education\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1472811725001028\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management Education","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1472811725001028","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Teaching project management with generative AI: A pedagogical model for responsible and sustainable practice
This study presents an innovative pedagogical approach integrating generative AI into project management education across five MBA courses. The research examines a structured teaching model where students applied AI tools to self-selected “Dream Projects” aligned with their career aspirations. Data analysis of 863 student submissions revealed that AI-enhanced project-based learning transformed the educational experience by repositioning faculty as learning facilitators and enabling students to engage with complex project management challenges more effectively. The teaching approach was organized around five structured modules that systematically incorporated AI applications throughout the project lifecycle, from initiation and planning to execution and closure. Students demonstrated improved decision-making capabilities, particularly in scheduling, risk assessment, and stakeholder communication, with 93 % actively applying AI tools across multiple project phases. The pedagogical model contributes to sustainable development goals by enhancing quality education (SDG 4), preparing students for evolving workplace demands (SDG 8), and developing the technical fluency needed for industrial innovation (SDG 9). This approach demonstrates how higher education can simultaneously cultivate technological competence and ethical judgment while preparing students for an AI-transformed professional landscape.
期刊介绍:
The International Journal of Management Education provides a forum for scholarly reporting and discussion of developments in all aspects of teaching and learning in business and management. The Journal seeks reflective papers which bring together pedagogy and theories of management learning; descriptions of innovative teaching which include critical reflection on implementation and outcomes will also be considered.