paper-with-me

홈 › Papers

Development of a Mobile Observation Support System for Students: FishWatchr Mini

2018-05-01 · LREC 2018 5 · Masaya Yamaguchi, Masanori Kitamura, Naomi Yanagida
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming

2026-07-03 · Jerome Brender, Laila El-Hamamsy, Kim Uittenhove, Aitor Perez 외 arxiv

While Large Language Models (LLMs) can provide personalized support in learning, several studies have raised concerns regarding their use in education. Importantly, learning depends on how students engage with LLMs. This…

Enabling Student Innovation through Virtual Reality Development

2024-07-02 · Sherri Harms

It is clear, from the major press coverage that Virtual Reality (VR) development is garnering, that there is a huge amount of development interest in VR across multiple industries, including video streaming, gaming and s…

Enhancing English Writing Proficiency in China's Polytechnic Students An In-Depth Literature Review on the Application of the Input Hypothesis

2023-11-04 · Wei Zhou

Having good English writing skills is extremely important for students in polytechnic institutions. However, a lot of students in technical schools have difficulties in reaching high levels of skill. The Input Hypothesis…

Multi-Week, In-Class Deployments of Telepresence Robots With Four Homebound K-12 Students: Benefits, Challenges, and Recommendations

2026-05-19 · Matthew Rueben, Rhianna Lee, Thomas R. Groechel, Hengzhi Chen 외 arxiv

Missing significant amounts of school during K-12 education is known to put students' cognitive and social development at risk. Alternatives such as home instruction and online learning are common, but lack sufficient in…

Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service

2024-11-19 · Raphael Merx, Adérito José Guterres Correia, Hanna Suominen, Ekaterina Vylomova

Low-resource machine translation (MT) presents a diversity of community needs and application challenges that remain poorly understood. To complement surveys and focus groups, which tend to rely on small samples of respo…

ArticlesDiversityMachine TranslationTranslation