{"id":44770,"date":"2025-06-27T14:52:48","date_gmt":"2025-06-27T18:52:48","guid":{"rendered":"https:\/\/engineering.jhu.edu\/cle\/?post_type=news&p=44770"},"modified":"2025-08-15T13:15:02","modified_gmt":"2025-08-15T17:15:02","slug":"ai-partnership","status":"publish","type":"news","link":"https:\/\/engineering.jhu.edu\/cle\/news\/ai-partnership\/","title":{"rendered":"To develop expertise, we should partner with AI, says Illysa Izenberg"},"content":{"rendered":"

Concerns about the use of AI use in higher education abound, including ethical dilemmas<\/a>, a reduction in academic rigor<\/a>, and challenging universities’ sustainability goals<\/a>. While the conversation about how to address these concerns in the classroom continues, there is no doubt that AI will continue to have a significant impact on student learning. Associate Teaching Professor Illysa Izenberg says that, in order for students to develop expertise and remain competitive on the job market, they should learn to effectively partner with AI. In a recent article in<\/span>\u00a0<\/span>The Teaching Professor, she details her plan for integrating AI into her teaching without sacrificing deep learning and skill development. Read the full article here<\/a>.<\/p>\n","protected":false},"template":"","class_list":["post-44770","news","type-news","status-publish","hentry","news_categories-research"],"acf":[],"yoast_head":"\nTo develop expertise, we should partner with AI, says Illysa Izenberg - Center for Leadership Education<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/cle\/news\/ai-partnership\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"To develop expertise, we should partner with AI, says Illysa Izenberg - Center for Leadership Education\" \/>\n<meta property=\"og:description\" content=\"Concerns about the use of AI use in higher education abound, including ethical dilemmas, a reduction in academic rigor, and challenging universities’ sustainability goals. 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