Using Knowledge Building to Support Deep Learning, Collaboration and Innovation in Engineering Education

被引:0
|
作者
Ellis, Glenn W. [1 ]
Rudnitsky, Alan N. [1 ]
Moriarty, Mary A. [1 ]
机构
[1] Smith Coll, Northampton, MA 01063 USA
来源
2010 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE) | 2010年
关键词
deep learning; discourse; knowledge building; narrative; preparation for future learning;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Knowledge building is a potentially transformative approach to engineering education. In knowledge building students participate in an interactive discourse in which they work together to broaden ideas, reform problems and share knowledge-the result being a deeper level of understanding and the collaborative production of new knowledge. In 2009 we conducted a knowledge building pilot study in the Picker Engineering Program at Smith College. In this study students worked together to formulate a question about the potential for a conscious machine and then engaged in an intensive knowledge building discourse. Assessment data showing the effectiveness of the approach and research questions arising from the study are presented.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions
    Hoover, Brendan
    Zaengle, Dakota
    Mark-Moser, Mackenzie
    Wingo, Patrick
    Suhag, Anuj
    Rose, Kelly
    FRONTIERS IN BIG DATA, 2023, 6
  • [22] Building an Otoscopic screening prototype tool using deep learning
    Devon Livingstone
    Aron S. Talai
    Justin Chau
    Nils D. Forkert
    Journal of Otolaryngology - Head & Neck Surgery, 48
  • [23] Building an Otoscopic screening prototype tool using deep learning
    Livingstone, Devon
    Talai, Aron S.
    Chau, Justin
    Forkert, Nils D.
    JOURNAL OF OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2019, 48 (01)
  • [24] Deep learning for detecting building facade elements from images considering prior knowledge
    Zhang, Gaowei
    Pan, Yue
    Zhang, Limao
    AUTOMATION IN CONSTRUCTION, 2022, 133
  • [25] TRADITIONAL CULTURAL NETWORK ONLINE EDUCATION INTEGRATING DEEP LEARNING AND KNOWLEDGE TRACKING
    Zhao, Heng
    Sun, Zhiyuan
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (01): : 341 - 354
  • [26] Research on the optimal allocation of resources for innovation and entrepreneurial education in universities in the context of deep learning
    Zhou X.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [27] A Classification Framework for Online Social Support Using Deep Learning
    Chen, Langtao
    HCI IN BUSINESS, GOVERNMENT AND ORGANIZATIONS: INFORMATION SYSTEMS AND ANALYTICS, 2019, 11589 : 178 - 188
  • [28] Innovation of Music Teaching Methods in Universities Based on Fuzzy Decision Support Systems and Deep Learning
    Chen, Yi
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2025,
  • [29] A COMPARED APPROACH ON HOW DEEP LEARNING MAY SUPPORT REVERSE ENGINEERING FOR TOLERANCE INSPECTION
    Bici, Michele
    Mohammadi, Saber Seyed
    Campana, Francesca
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2019, VOL 14, 2020,
  • [30] Forecasting Building Electricity Power Consumption Using Deep Learning Approach
    Lee, Young-Jun
    Choi, Ho-Jin
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020), 2020, : 542 - 544