学术界对人工智能工具的建设性、过度依赖和不负责任的使用：人格与学术诚信的关联及其影响

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports Pub Date : 2025-05-01 DOI:10.1016/j.chbr.2025.100679

Mojtaba Elhami Athar

{"title":"学术界对人工智能工具的建设性、过度依赖和不负责任的使用：人格与学术诚信的关联及其影响","authors":"Mojtaba Elhami Athar","doi":"10.1016/j.chbr.2025.100679","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of AI into academia presents both opportunities and challenges for academic integrity. The literature review suggests that AI usage in academia may align with three general profiles—Constructive (e.g., using AI to enhance academic skills), Overreliant (e.g., heavy dependence on AI for academic tasks), and Irresponsible (e.g., using AI-generated content without verification)—each with significant implications for academic integrity. To expand our understanding of this subject, this study was conducted with two objectives: first, to introduce and validate the Academic AI Usage Inventory (AAUI), and second, to examine relationships between AI usage profiles and personality features, including maladaptive personality traits, psychopathic traits, attachment styles, and self-esteem. Data were collected online from 171 university students (aged 18–52; <em>M</em> = 29.19, <em>SD</em> = 7.70). Confirmatory factor analysis (CFA) supported the three-factor structure of the AAUI, which demonstrated acceptable internal consistency. Correlations and multiple regression analyses revealed that Disinhibition and Antagonism were positively linked to Irresponsible usage, with Disinhibition also associated with Overreliant usage. Conversely, Anankastia was positively related to Constructive usage and negatively to Irresponsible usage. Additionally, Callous-Unemotional (CU) and Impulsive-Irresponsible (II) traits were positively associated with Irresponsible usage, while II also correlated with Overreliant usage. Furthermore, Anxious attachment was associated with Overreliant and Irresponsible usage, while higher self-esteem predicted Constructive usage, and lower self-esteem was linked to Overreliant and Irresponsible profiles. Findings highlight the role of personality features in various AI engagement styles in academia, underscoring the need for policies to promote responsible AI usage and academic integrity.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100679"},"PeriodicalIF":4.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The constructive, overreliant, and irresponsible use of artificial intelligence tools in academia: Personality correlates and implications for academic integrity\",\"authors\":\"Mojtaba Elhami Athar\",\"doi\":\"10.1016/j.chbr.2025.100679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The integration of AI into academia presents both opportunities and challenges for academic integrity. The literature review suggests that AI usage in academia may align with three general profiles—Constructive (e.g., using AI to enhance academic skills), Overreliant (e.g., heavy dependence on AI for academic tasks), and Irresponsible (e.g., using AI-generated content without verification)—each with significant implications for academic integrity. To expand our understanding of this subject, this study was conducted with two objectives: first, to introduce and validate the Academic AI Usage Inventory (AAUI), and second, to examine relationships between AI usage profiles and personality features, including maladaptive personality traits, psychopathic traits, attachment styles, and self-esteem. Data were collected online from 171 university students (aged 18–52; <em>M</em> = 29.19, <em>SD</em> = 7.70). Confirmatory factor analysis (CFA) supported the three-factor structure of the AAUI, which demonstrated acceptable internal consistency. Correlations and multiple regression analyses revealed that Disinhibition and Antagonism were positively linked to Irresponsible usage, with Disinhibition also associated with Overreliant usage. Conversely, Anankastia was positively related to Constructive usage and negatively to Irresponsible usage. Additionally, Callous-Unemotional (CU) and Impulsive-Irresponsible (II) traits were positively associated with Irresponsible usage, while II also correlated with Overreliant usage. Furthermore, Anxious attachment was associated with Overreliant and Irresponsible usage, while higher self-esteem predicted Constructive usage, and lower self-esteem was linked to Overreliant and Irresponsible profiles. Findings highlight the role of personality features in various AI engagement styles in academia, underscoring the need for policies to promote responsible AI usage and academic integrity.</div></div>\",\"PeriodicalId\":72681,\"journal\":{\"name\":\"Computers in human behavior reports\",\"volume\":\"18 \",\"pages\":\"Article 100679\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in human behavior reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451958825000946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in human behavior reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451958825000946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}

引用次数: 0

摘要

人工智能与学术的融合给学术诚信带来了机遇和挑战。文献综述表明，学术界对人工智能的使用可能符合三种一般情况——建设性（例如，使用人工智能来提高学术技能）、过度依赖（例如，在学术任务中严重依赖人工智能）和不负责任（例如，在未经验证的情况下使用人工智能生成的内容）——每一种情况都对学术诚信产生重大影响。为了扩大我们对这一主题的理解，本研究有两个目标：首先，引入和验证学术人工智能使用清单（AAUI），其次，研究人工智能使用概况与人格特征之间的关系，包括适应不良的人格特征、精神病特征、依恋风格和自尊。在线收集了171名大学生(年龄在18-52岁；M = 29.19, sd = 7.70)。验证性因子分析（CFA）支持AAUI的三因素结构，显示出可接受的内部一致性。相关分析和多元回归分析显示，去抑制和拮抗与不负责任的使用呈正相关，去抑制也与过度依赖的使用相关。相反，Anankastia与建设性使用呈正相关，与不负责任使用负相关。此外，冷酷无情（CU）和冲动不负责任（II）特征与不负责任的使用呈正相关，而II也与过度依赖的使用相关。此外，焦虑依恋与过度依赖和不负责任的使用相关，而高自尊预测建设性使用，低自尊与过度依赖和不负责任的使用相关。研究结果强调了人格特征在学术界各种人工智能参与方式中的作用，强调了制定政策以促进负责任的人工智能使用和学术诚信的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The constructive, overreliant, and irresponsible use of artificial intelligence tools in academia: Personality correlates and implications for academic integrity

The integration of AI into academia presents both opportunities and challenges for academic integrity. The literature review suggests that AI usage in academia may align with three general profiles—Constructive (e.g., using AI to enhance academic skills), Overreliant (e.g., heavy dependence on AI for academic tasks), and Irresponsible (e.g., using AI-generated content without verification)—each with significant implications for academic integrity. To expand our understanding of this subject, this study was conducted with two objectives: first, to introduce and validate the Academic AI Usage Inventory (AAUI), and second, to examine relationships between AI usage profiles and personality features, including maladaptive personality traits, psychopathic traits, attachment styles, and self-esteem. Data were collected online from 171 university students (aged 18–52; M = 29.19, SD = 7.70). Confirmatory factor analysis (CFA) supported the three-factor structure of the AAUI, which demonstrated acceptable internal consistency. Correlations and multiple regression analyses revealed that Disinhibition and Antagonism were positively linked to Irresponsible usage, with Disinhibition also associated with Overreliant usage. Conversely, Anankastia was positively related to Constructive usage and negatively to Irresponsible usage. Additionally, Callous-Unemotional (CU) and Impulsive-Irresponsible (II) traits were positively associated with Irresponsible usage, while II also correlated with Overreliant usage. Furthermore, Anxious attachment was associated with Overreliant and Irresponsible usage, while higher self-esteem predicted Constructive usage, and lower self-esteem was linked to Overreliant and Irresponsible profiles. Findings highlight the role of personality features in various AI engagement styles in academia, underscoring the need for policies to promote responsible AI usage and academic integrity.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Computers in human behavior reports Psychology (General)

CiteScore

7.80

自引率

0.00%

发文量