VoiceEx: Voice Submission System for Interventions in Education

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2 Pub Date : 2023-06-29 DOI:10.1145/3587103.3595284

Angela Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, J. J. Williams, Michael Liut

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Abstract

Generating self-explanations has been identified as a successful strategy in helping learners engage with course content and organize what they learn in a structured format. While typing an explanation may allow more structure and formality, explaining by voice can be more natural and help free cognitive resources to focus on learning goals and understanding concepts. As we investigated the effects and students' perceptions of using voice or text to self-explain new course concepts, we failed to find a tool that would meet our needs. We present our work in designing and developing VoiceEx, a submission courseware that allows text and voice input to collect data in both mediums. VoiceEx was created to support a self-explanations intervention for computer science students; however, given its features and the advantages of being able to collect spoken responses, it can be used in a variety of environments. Future refinement of this tool includes artificial intelligence features to better guide students' submissions.

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VoiceEx:教育干预的语音提交系统

产生自我解释被认为是一种成功的策略，可以帮助学习者参与课程内容，并以结构化的形式组织他们所学的知识。虽然打字解释可能更有结构和形式，但用声音解释可能更自然，并有助于释放认知资源，将重点放在学习目标和理解概念上。当我们调查了使用语音或文字来自我解释新课程概念的效果和学生的看法时，我们没有找到一个能满足我们需求的工具。我们展示了我们在设计和开发VoiceEx方面的工作，这是一个提交课件，允许文本和语音输入以两种媒介收集数据。创建VoiceEx是为了支持计算机科学专业学生的自我解释干预;然而，考虑到它的特点和能够收集口头回答的优势，它可以在各种环境中使用。该工具的未来改进包括人工智能功能，以更好地指导学生提交。

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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Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2

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