TY - GEN
T1 - A web-based remote FPGA laboratory for computer organization course
AU - Wan, Han
AU - Liu, Kangxu
AU - Lin, Jiazhen
AU - Gao, Xiaopeng
N1 - Publisher Copyright:
© 2019 ACM.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - Learning in digital systems could be enhanced by applying a learn-by-doing mechanism. In this paper the implementation of a web-based remote FPGA laboratory for Computer Organization course is proposed. The projects created for this course are designed towards entry-level users thus producing a trouble-free virtualization of experimental equipment that in turn maximizes educational gain. The network laboratory had made learners complete all the experimental activities through the Internet without the limitation of time, space and resources. We show also some preliminary results compared between Fall 2016 and Fall 2017 semester, which highlight improved student engagement, learning and achievement.
AB - Learning in digital systems could be enhanced by applying a learn-by-doing mechanism. In this paper the implementation of a web-based remote FPGA laboratory for Computer Organization course is proposed. The projects created for this course are designed towards entry-level users thus producing a trouble-free virtualization of experimental equipment that in turn maximizes educational gain. The network laboratory had made learners complete all the experimental activities through the Internet without the limitation of time, space and resources. We show also some preliminary results compared between Fall 2016 and Fall 2017 semester, which highlight improved student engagement, learning and achievement.
KW - Digital systems education
KW - Remote FPGA laboratory
KW - Web-based laboratory
UR - https://www.scopus.com/pages/publications/85076948544
U2 - 10.1145/3299874.3317999
DO - 10.1145/3299874.3317999
M3 - 会议稿件
AN - SCOPUS:85076948544
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 243
EP - 248
BT - GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
T2 - 29th Great Lakes Symposium on VLSI, GLSVLSI 2019
Y2 - 9 May 2019 through 11 May 2019
ER -