遇见数据集

Machine Voice 2.0 Data

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Figshare2022-06-07 更新2026-04-08 收录
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<strong>Machine Voice 2.0 - Female &amp; Male</strong> Cleaned data with variables: Duration (total seconds participants take to finish the study), PK total (total prior knowledge scores), Condition (experimental condition), Condition_Pgender (participants' genders), Condition_Emotion (the experimental condition of the factor of emotion types of the machine voice), Condition_Gender (the experimental condition of the factor of the gender of the machine voice), E1_happy: the ratings of perceived happiness of the machine voice E1_sad: the ratings of perceived sad emotion of the machine voice E1_motivated: the ratings of the motivation level of students E1_Difficult: the ratings of the difficult level of the lesson felt by students E1_Effort to Understand: the ratings of the effort to understand the lesson E1_Enjoyment: the ratings of enjoyment level students felt about the lesson E1_More Lesson: the ratings of the interest level of taking more similar lessons E2_happy: the ratings of felt happy emotion of students E2_sad: the ratings of felt sad emotion of students Facilitative: the API ratings of how facilitative students felt about the instructor (machine voice) Credible: the API ratings of how credible students felt about the machine voice Engage: the API ratings of how engaging students felt about the machine voice Re SC0: the final retention test score Trans Total: the final total score of the transfer test Total SC0: the total final score (combination of retention test scores and the total transfer scores) Age: students age <br> <strong>Female &amp; Male Data Coding</strong> The data coding records for the answers to retention and transfer questions from both female and male participants.

提供机构:
Zhao, Fangzheng
创建时间:
2022-06-07
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