ALens: An Adaptive Domain-Oriented Abstract Writing Training Tool for Novice Researchers
Chen Cheng, Ziang Li, Zhenhui Peng, and Quan Li

TL;DR
ALens is a domain-specific training tool that uses rhetorical parsing and visualization to help novice researchers improve abstract writing, addressing the limitations of traditional training methods.
Contribution
This paper introduces ALens, a novel adaptive abstract writing training tool that provides personalized feedback through rhetorical analysis and visualization techniques.
Findings
ALens improves abstract writing quality among novices.
The tool offers effective personalized feedback.
User study shows positive learning outcomes.
Abstract
The significance of novice researchers acquiring proficiency in writing abstracts has been extensively documented in the field of higher education, where they often encounter challenges in this process. Traditionally, students have been advised to enroll in writing training courses as a means to develop their abstract writing skills. Nevertheless, this approach frequently falls short in providing students with personalized and adaptable feedback on their abstract writing. To address this gap, we initially conducted a formative study to ascertain the user requirements for an abstract writing training tool. Subsequently, we proposed a domain-specific abstract writing training tool called ALens, which employs rhetorical structure parsing to identify key concepts, evaluates abstract drafts based on linguistic features, and employs visualization techniques to analyze the writing patterns of…
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Taxonomy
TopicsSoftware Engineering Research · Writing and Handwriting Education · Model-Driven Software Engineering Techniques
