Mobile Augmented Reality in Biological Education: Perceptions of Austrian Secondary School Teachers

Pub Date : 2023-06-30 DOI:10.7160/eriesj.2023.160203
Eva Schmidthaler, B. Anđić, Mathias Schmollmüller, B. Sabitzer, Z. Lavicza
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引用次数: 2

Abstract

Today's teachers play a critical role in preparing students for the integration of educational technologies, such as augmented reality (AR), into their lessons. It is thought that AR implementation improves collaboration, motivation, and learning outcomes. Considering this, this study aims to determine the teachers’ perceptions of the benefits and obstacles of employing mobile AR applications (mAR) in their biology education, along with suggestions for practice, app developers, and policymakers. Therefore, a mixed-methods study was used to examine Austrian secondary school biology teachers’ opinions. A questionnaire containing open-ended and closed-ended questions was distributed to 35 teachers. Descriptive statistics were employed to process quantitative data, whereas grounded theory was utilized to process qualitative data. According to the findings, biology teachers likely utilize mAR apps to teach about human anatomy or to identify living things (e.g., plant determination). According to the teachers, mAR can improve students’ learning outcomes, motivation, and collaboration, and further their enthusiasm for learning biology. The main obstacles that teachers encounter whilst integrating mAR into their lessons are lack of technical devices, Internet issues, inconsistency with the curriculum, and questionable scientific accuracy of information. Despite the promising results, additional future studies with larger sample sizes are needed.
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移动增强现实在生物教育:奥地利中学教师的看法
当今的教师在培养学生将增强现实(AR)等教育技术融入课堂方面发挥着关键作用。人们认为AR的实施改善了协作、动机和学习成果。考虑到这一点,本研究旨在确定教师对在生物教育中使用移动AR应用程序(mAR)的好处和障碍的看法,以及对实践、应用程序开发人员和政策制定者的建议。因此,采用混合方法研究奥地利中学生物教师的意见。向35名教师分发了一份载有开放式和封闭式问题的问卷。描述性统计用于处理定量数据,而扎根理论用于处理定性数据。根据研究结果,生物教师可能会使用mAR应用程序来教授人体解剖学或识别生物(例如,植物鉴定)。老师们认为,mAR可以提高学生的学习成果、积极性和协作性,并进一步提高他们学习生物学的热情。教师在将mAR纳入教学时遇到的主要障碍是缺乏技术设备、网络问题、与课程不一致以及信息的科学准确性问题。尽管结果令人鼓舞,但未来还需要更多样本量更大的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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