Title

Engaging Undergraduate Students In Machine Learning Research: Progress, Experiences And Achievements Of Project Emd-Mlr

Abstract

Project EMD-MLR is a National Science Foundation funded, on-going effort that aims at engaging undergraduate engineering and computer science students into research on Machine Learning. In our present paper we will provide a brief overview of the project's characteristics and share our experience about engaging undergraduate students in research in year 1 of the project. More specifically, we will report the overall achievements accomplished so far in terms of research products such as student-developed software, publications and other dissemination efforts. Additionally, we report on student assessment results regarding the quality of their experience through their participation in aspects such as the student-teacher interaction, the knowledge and experience that students acquired, while performing research and the type of impact their involvement had on their future academic and/or career aspirations. © American Society for Engineering Education, 2006.

Publication Date

1-1-2006

Publication Title

ASEE Annual Conference and Exposition, Conference Proceedings

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

85029108748 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85029108748

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