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UID:pretalx-eu-summit-2026-C3QQBZ@cfp.riscv-europe.org
DTSTART;TZID=CET:20260611T110000
DTEND;TZID=CET:20260611T111000
DESCRIPTION:The development of RISC-V technology faces challenges such as t
 he existence of low-quality online courses\, fragmented content\, a lack o
 f hierarchical and systematic course series\, insufficient online experime
 ntal practice environments\, and limited channels for learning Q&A. The pa
 per sets out to develop a standardized model for assessing the quality of 
 RISC-V courses. In addition\, it puts forward a reconstruction method base
 d on course classification tags\, organized the individual video into a st
 ructured course series. The solution integrates a online RISC-V lab with o
 ffline community activities\, thereby establishing an integrated online-of
 fline practical teaching environment. This project has produced over 1\,00
 0 original RISC-V lecture videos\, with total views exceeding 1.3 million.
  The experimental results demonstrate that the systematically organized co
 urse collections generated by this method significantly improve viewership
  and user engagement\, providing a systematic solution for the development
  of the RISC-V education ecosystem.
DTSTAMP:20260522T162343Z
LOCATION:Poster Island D
SUMMARY:From Fragmentation to Systematization: A Standardized Quality Selec
 tion and Reconstruction Approach for RISC-V Courses - Fuyuan Zhang\, Yunxi
 ang Luo
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/C3QQBZ/
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