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        "datetime_modified":"20260911T232128",
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        "date_start":"2026-09-15",
        "date_end":"2026-09-15",
        "time_start":"11:00:00",
        "time_end":"12:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Wolverine Village Residence Hall Community Tours",
        "occurrence_title":"Wolverine Village Community Tour",
        "combined_title":"Wolverine Village Residence Hall Community Tours: Wolverine Village Community Tour",
        "event_subtitle":"",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Michigan Housing is excited to welcome members of the University of Michigan and Ann Arbor community for an opportunity to tour Wolverine Village.This year marks the most students to live on-campus within Michigan Housing in U-M history with the grand opening of Wolverine Village, the university\u2019s newest 2,300 bed and 800+ seat dining hall residential community. Formerly known as the Central Campus Residential Development, Wolverine Village is a new five-building residential community on U-M\u2019s Central Campus and adjacent to the athletic campus.Daily tours will highlight Wolverine Village and its residence halls, gathering spaces, and community art.Wolverine Village tours are open to the public and registration is required. Tour capacity is limited while Wolverine Village residence halls are occupied by the U-M student community. Additional tour dates may be added if demand allows for it.\nFor tour questions, please reach out to the Michigan Housing team at\u00a0wolverinevillagetours@umich.edu.",
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        "location_name":"Wolverine Village",
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        "tags":["Sessions"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/17503",
        "sponsors":[
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                "group_name":"Sessions @ Michigan",
                "group_id":"4791",
                "website":"https:\/\/sessions.studentlife.umich.edu\/"                }                    ],
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    {
        "datetime_modified":"20260908T105827",
        "datetime_start":"20260915T113000",
        "datetime_end":"20260915T130000",
        "has_end_time":1,
        "date_start":"2026-09-15",
        "date_end":"2026-09-15",
        "time_start":"11:30:00",
        "time_end":"13:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Generative AI Availability, Grades, and Student Satisfaction at a Large University",
        "occurrence_title":"",
        "combined_title":"Generative AI Availability, Grades, and Student Satisfaction at a Large University",
        "event_subtitle":"",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"The spread of generative AI (GenAI) in higher education has raised concerns that students offload cognitive effort to AI, earning high grades without learning. If this \"GenAI substitution hypothesis\" is true, grades should rise disproportionately in GenAI-susceptible courses -- those relying more on assessments like take-home problem sets and essays rather than in-class exams. Substitution could also affect student satisfaction, measured here as self-reported understanding and interest in the subject, which prior research links to assessments. We test the substitution hypothesis using syllabus and administrative data from a large U.S. university (2016-2025; 138,386 students; 72,730 course offerings). We measure courses' GenAI susceptibility using a human-validated LLM pipeline to extract assessment types from syllabi, and use a differences-in-differences design comparing outcomes across courses before and after ChatGPT's release, while modeling COVID-19 pandemic effects as either persistent or transient. We find no significant differential effect of GenAI availability on grades overall or among previously lower-performing students. Effects on self-reported understanding are likewise insignificant; effects on interest are significant only assuming transient pandemic effects. Our findings temper concerns that GenAI inflates grades and reduces students' satisfaction.\n\nAuthors: James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu,\nIvan Bar1 George Chaney III, Henry Gold, Misha Teplitskiy",
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        "permalink":"http:\/\/events.umich.edu\/event\/150774",
        "building_id":"1000165",
        "building_name":"Weiser Hall",
        "campus_maps_id":"47",
        "room":"747",
        "location_name":"Weiser Hall",
        "has_livestream":0,
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        "tags":["Generative Ai","Complex Systems"],
        "website":"http:\/\/instagram.com\/umichcscs",
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                "group_name":"The Center for the Study of Complex Systems",
                "group_id":"3247",
                "website":"https:\/\/lsa.umich.edu\/cscs\/"                },             {
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