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A Career Focused Online and Autonomous e-Advising System for Computer Science Learners
被引:0
|作者:
Jamil, Hasan
[1
]
机构:
[1] Univ Idaho, Dept Comp Sci, Moscow, ID 83843 USA
来源:
2023 IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, ICALT
|
2023年
关键词:
personalized advising;
autonomous advising;
non-formal advising;
career guide;
non-standard curriculum;
professional development;
crowd enabled recommendation;
D O I:
10.1109/ICALT58122.2023.00007
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Curricular advising takes up a significant amount of time for both students and faculty. Given the prerequisite graph of courses, and one's career goals, the course selections every semester should be almost deterministic. Yet, no viable tools exist to advise students automatically, or remotely. Given the rise of online learning platforms, and a significant interest in non-standard degrees, the need for an institution independent and online educational advising system has emerged. Additionally, such a system can play a significant role in a learner's career progression in a rapidly changing career landscape. In this paper, we explore the design and implementation of an advising system that can serve as a blueprint for a smart advising system.
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页码:1 / 3
页数:3
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