{"686076":{"#nid":"686076","#data":{"type":"event","title":"PhD Proposal by Rebecca Storey ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: Rebecca Storey\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESchool of Psychology \u2013 Ph.D.\u0026nbsp;Dissertation Proposal Meeting\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Friday, November 14th, 2025\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;12:00 pm - 2:00 pm\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETeams link:\u003C\/strong\u003E\u0026nbsp; \u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_OTI4YzcwZDAtMzVkYi00Njg5LTk1MzItZmE4MDFiZDQ3NWMw%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22511f0cf4-1ca7-431b-aaa5-28db5d4f1e3b%22%7d\u0022 title=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_OTI4YzcwZDAtMzVkYi00Njg5LTk1MzItZmE4MDFiZDQ3NWMw%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22511f0cf4-1ca7-431b-aaa5-28db5d4f1e3b%22%7d\u0022\u003EJoin here\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDissertation Chair\/Advisor:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPhillip L. Ackerman, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDissertation Committee Members:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EChris Wiese, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003ESashank Varma, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003ERichard Catrambone, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003EChris Dede, Ph.D. (Harvard University)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle: Creative Problem-Solving with Generative AI: An Examination of Aptitude-Treatment Interactions\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EWorkers are rapidly integrating generative artificial intelligence (genAI) into their workflow (Brachman et al., 2024; Dwivedi et al., 2023). Yet, despite growing use of this technology, it remains unclear whether genAI use\u0026nbsp;enhances job performance \u2014\u0026nbsp;and, more importantly, for whom. Cognitive ability is the single strongest predictor of job performance (Gottfredson, 1997; Schmidt \u0026amp; Hunter, 1998). However, the widespread application of genAI creates the potential for \u003Cem\u003Ehybrid intelligence\u0026nbsp;\u003C\/em\u003E(human cognition augmented by artificial intelligence; Akata et al., 2020), which may alter established cognitive ability-performance relationships. To address this possibility, the proposed dissertation adopts an aptitude-treatment interaction (ATI) approach (Snow, 1989) to test whether cognitive ability, among other performance predictors, functions as an aptitude that shapes the effectiveness of genAI use on open-ended problem-solving performance. The study will be a laboratory experiment that uses a sample of Georgia Tech undergraduates. Before the study, participants will complete an online survey with measures of creative problem-solving self-efficacy, Typical Intellectual Engagement (TIE), genAI-use frequency, attitudes toward genAI-assistance, and genAI self-efficacy. During the in-person laboratory session, participants will complete four cognitive ability tests and then work on creative problem-solving tasks with and without access to genAI. For each task, participants will read a scenario and prepare a short PowerPoint presentation of their solution. Results will determine whether genAI: 1) provides a uniform boost, such that individuals of all ability levels benefit equally from its assistance, 2) operates as an equalizer, disproportionately supporting lower-ability individuals and thereby narrowing performance gaps, or 3) amplifies existing differences such that higher-ability individuals accrue a cumulative advantage.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ECreative Problem-Solving with Generative AI: An Examination of Aptitude-Treatment Interactions\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Creative Problem-Solving with Generative AI: An Examination of Aptitude-Treatment Interactions"}],"uid":"27707","created_gmt":"2025-10-29 16:14:36","changed_gmt":"2025-10-29 16:15:06","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-14T12:00:00-05:00","event_time_end":"2025-11-14T14:00:00-05:00","event_time_end_last":"2025-11-14T14:00:00-05:00","gmt_time_start":"2025-11-14 17:00:00","gmt_time_end":"2025-11-14 19:00:00","gmt_time_end_last":"2025-11-14 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"TEAMS","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}