{"title":"体验式学习中的推理解释动力:从模糊体验中解读隐藏目标","authors":"Bryan Spencer, Claus Rerup","doi":"10.1177/00018392241273301","DOIUrl":null,"url":null,"abstract":"According to the Carnegie School tradition of experiential learning, learning processes are driven by interpretations of experience relative to an observable goal. While prior research has considered how ambiguity may complicate interpretation, it has seldom considered how ambiguous experience emanating from the enactment of hidden goals may complicate the interpretive process. Drawing on a 13-month inductive study of CryptoTradingGroup (CTG), a distributed financial organization, and its interactions with MajorCryptoCommunity (MCC), a cryptocurrency investment community, we examine how actors engage in effective interpretation and learning when they face hidden goals and ambiguous experience. We examine how perpetrators in CTG plotted a hidden market manipulation goal in a backstage secret chatroom while simultaneously targeting MCC with invalid information enacted in the frontstage. Our analysis unpacks the dynamics of how MCC deciphered the hidden market manipulation goal and stopped the fraud through a process that we label inferential interpretation. In shifting away from a model of effective learning with statistical inference, in which interpretation is rarely examined, inferential interpretation shows how heterogeneous actors construct understandings from cues embedded in ambiguous experience during the learning process. Our study makes interpretation, i.e., the construction of meaning, central to conceptions of experiential learning when reality, causality, and intentionality are obscured.","PeriodicalId":7203,"journal":{"name":"Administrative Science Quarterly","volume":"5 1","pages":""},"PeriodicalIF":8.3000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Dynamics of Inferential Interpretation in Experiential Learning: Deciphering Hidden Goals from Ambiguous Experience\",\"authors\":\"Bryan Spencer, Claus Rerup\",\"doi\":\"10.1177/00018392241273301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the Carnegie School tradition of experiential learning, learning processes are driven by interpretations of experience relative to an observable goal. While prior research has considered how ambiguity may complicate interpretation, it has seldom considered how ambiguous experience emanating from the enactment of hidden goals may complicate the interpretive process. Drawing on a 13-month inductive study of CryptoTradingGroup (CTG), a distributed financial organization, and its interactions with MajorCryptoCommunity (MCC), a cryptocurrency investment community, we examine how actors engage in effective interpretation and learning when they face hidden goals and ambiguous experience. We examine how perpetrators in CTG plotted a hidden market manipulation goal in a backstage secret chatroom while simultaneously targeting MCC with invalid information enacted in the frontstage. Our analysis unpacks the dynamics of how MCC deciphered the hidden market manipulation goal and stopped the fraud through a process that we label inferential interpretation. In shifting away from a model of effective learning with statistical inference, in which interpretation is rarely examined, inferential interpretation shows how heterogeneous actors construct understandings from cues embedded in ambiguous experience during the learning process. Our study makes interpretation, i.e., the construction of meaning, central to conceptions of experiential learning when reality, causality, and intentionality are obscured.\",\"PeriodicalId\":7203,\"journal\":{\"name\":\"Administrative Science Quarterly\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2024-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Administrative Science Quarterly\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/00018392241273301\",\"RegionNum\":1,\"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":"Administrative Science Quarterly","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/00018392241273301","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
The Dynamics of Inferential Interpretation in Experiential Learning: Deciphering Hidden Goals from Ambiguous Experience
According to the Carnegie School tradition of experiential learning, learning processes are driven by interpretations of experience relative to an observable goal. While prior research has considered how ambiguity may complicate interpretation, it has seldom considered how ambiguous experience emanating from the enactment of hidden goals may complicate the interpretive process. Drawing on a 13-month inductive study of CryptoTradingGroup (CTG), a distributed financial organization, and its interactions with MajorCryptoCommunity (MCC), a cryptocurrency investment community, we examine how actors engage in effective interpretation and learning when they face hidden goals and ambiguous experience. We examine how perpetrators in CTG plotted a hidden market manipulation goal in a backstage secret chatroom while simultaneously targeting MCC with invalid information enacted in the frontstage. Our analysis unpacks the dynamics of how MCC deciphered the hidden market manipulation goal and stopped the fraud through a process that we label inferential interpretation. In shifting away from a model of effective learning with statistical inference, in which interpretation is rarely examined, inferential interpretation shows how heterogeneous actors construct understandings from cues embedded in ambiguous experience during the learning process. Our study makes interpretation, i.e., the construction of meaning, central to conceptions of experiential learning when reality, causality, and intentionality are obscured.
期刊介绍:
Administrative Science Quarterly, under the ownership and management of the Samuel Curtis Johnson Graduate School of Management at Cornell University, has consistently been a pioneer in organizational studies since the inception of the field. As a premier journal, it consistently features the finest theoretical and empirical papers derived from dissertations, along with the latest contributions from well-established scholars. Additionally, the journal showcases interdisciplinary work in organizational theory and offers insightful book reviews.