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首页> 外文期刊>Journal of engineering education >The Influence of Computer-based Model's Race and Gender on Female Students' Attitudes and Beliefs Towards Engineering
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The Influence of Computer-based Model's Race and Gender on Female Students' Attitudes and Beliefs Towards Engineering

机译：计算机模型的种族和性别对女学生工程学态度和信念的影响

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BackgroundrnThis study explored the use of interface agents, anthropomorphic, 3D-animated computer characters that provide teaching or mentoring within a computer-based learning environment, to encourage young Black and White women to pursue careers in engineering.rnPurpose (Hypothesis)rnWe hypothesized that computer-based models that matched young women in terms of their race and gender would be the most effective in positively influencing their interest, self-efficacy, and stereotypes about engineering.rnDesign/MethodrnEighty African American undergraduate female students in Experiment 1, and 39 White undergraduate female students in Experiment 2 interacted with a computer-based agent that provided a narrative designed to encourage them to pursue engineering careers. The study employed a 2 × 2 between subjects factorial design (agent gender: male vs. female and agent race: Black vs. White).rnResultsrnAcross both studies we found that race and gender influenced the effectiveness of the agent for several key outcome measures. Computer-based agents who matched the participants with respect to race and gender tended to be the most effective in improving the women's responses to engineering-related fields. Nevertheless, the White male agent was actually significantly more influential than the White female agent for female Black participants.rnConclusionsrnPersonalizing interface agent characteristics to match the target population can increase the effectiveness of a persuasive message to encourage young women to pursue engineering. Such an approach may contribute to the growth and indusiveness of fields such as engineering.
机译：背景这项研究探索了接口代理，拟人化，3D动画的计算机角色的使用，这些角色在基于计算机的学习环境中提供教学或指导，以鼓励年轻的黑人和白人女性从事工程学事业。目的（假说）基于模型的种族和性别匹配的年轻女性，对于正面地影响她们的兴趣，自我效能和对工程的定型观念将是最有效的。设计/方法实验1中的80名非洲裔美国本科女学生和39名白人本科女实验2中的女学生与基于计算机的代理人进行了互动，该代理人提供了一种叙事方式，以鼓励他们从事工程职业。该研究在受试者因素设计之间采用了2×2的比例（特工性别：男性对女性，特工种族：黑人与白人）。结果在所有两项研究中，我们发现种族和性别会影响特工在几个关键结果指标上的有效性。在种族和性别方面与参与者相匹配的基于计算机的代理人往往是最有效的方法，可以改善女性对工程相关领域的反应。尽管如此，白人男性特工实际上比白人女性特工对黑人女性参与者的影响要大得多。结论结论个性化界面特工特征以匹配目标人群可以提高说服力信息的有效性，以鼓励年轻女性从事工程学。这种方法可能有助于诸如工程学等领域的增长和发展。

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