• Title/Summary/Keyword: Gender differences in correct answer ratios

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Gender Differences among 9th Grade Students in Academic Achievement in the Science (중학교 3학년 학생들의 과학과 학업성취도의 성별차이)

  • Kim, Hyun-Kyung
    • Journal of the Korean Chemical Society
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    • v.57 no.1
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    • pp.138-146
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    • 2013
  • This study examined the characteristics of the National Assessment of Educational Achievement (NAEA) in Science according to gender. It investigated gender achievement differences in the science section of the 2010 NAEA, the ratio of gender difference in achievement, the ratio of correct answers within each content domain and behavioral domain, and the items which showed high differences between males and females. The results indicate first, that, for 9th graders, females outperformed males in academic achievement in science. Second, with respect to the ratio of correct answers, males outperformed females in the advanced and below basic level groups, but females outperformed males in intermediate level groups. Third, females outperformed males in knowledge and inquiry in the behavior domains, and in chemistry and biology in the content domains. Fourth, an analysis of the items showing the largest gender gap indicated that males outperformed females in interpreting data, while females outperformed males in the items concerned with daily life and items related to the memorization of rules. This research on gender differences in science will allow teachers to complement the weaknesses of students when they study science, and support improved instructional methods in science.

Analysis of User's Eye Gaze Distribution while Interacting with a Robotic Character (로봇 캐릭터와의 상호작용에서 사용자의 시선 배분 분석)

  • Jang, Seyun;Cho, Hye-Kyung
    • The Journal of Korea Robotics Society
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    • v.14 no.1
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    • pp.74-79
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    • 2019
  • In this paper, we develop a virtual experimental environment to investigate users' eye gaze in human-robot social interaction, and verify it's potential for further studies. The system consists of a 3D robot character capable of hosting simple interactions with a user, and a gaze processing module recording which body part of the robot character, such as eyes, mouth or arms, the user is looking at, regardless of whether the robot is stationary or moving. To verify that the results acquired on this virtual environment are aligned with those of physically existing robots, we performed robot-guided quiz sessions with 120 participants and compared the participants' gaze patterns with those in previous works. The results included the followings. First, when interacting with the robot character, the user's gaze pattern showed similar statistics as the conversations between humans. Second, an animated mouth of the robot character received longer attention compared to the stationary one. Third, nonverbal interactions such as leakage cues were also effective in the interaction with the robot character, and the correct answer ratios of the cued groups were higher. Finally, gender differences in the users' gaze were observed, especially in the frequency of the mutual gaze.