Menu
×
Main Library
9 a.m. - 6 p.m.
Phone: (843) 805-6930
West Ashley Library
9 a.m. - 4 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 805-6888
McClellanville Library
9 a.m. - 1 p.m.
Phone: (843) 887-3699
Folly Beach Library
9 a.m. - 1 p.m.
Phone: (843) 588-2001
Miss Jane's Building (Edisto Library Temporary Location)
9 a.m. – 3 p.m.
Phone: (843) 869-2355
John L. Dart Library
9 a.m. - 6 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 6 p.m.
Phone: (843) 849-6161
Dorchester Road Library
9 a.m. - 6 p.m.
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
9 a.m. - 6 p.m.
Phone: (843) 883-3914
John's Island Library
9 a.m. - 6 p.m.
Phone: (843) 559-1945
Otranto Road Library
9 a.m. - 6 p.m.
Phone: (843) 572-4094
Hurd/St. Andrews Library
9 a.m. - 6 p.m.
Phone: (843) 766-2546
Baxter-Patrick James Island
9 a.m. - 6 p.m.
Phone: (843) 795-6679
Bees Ferry West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 805-6892
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
Keith Summey North Charleston Library
9 a.m. – 6 p.m.
Phone: (843) 744-2489
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Today's Hours
Main Library
9 a.m. - 6 p.m.
Phone: (843) 805-6930
West Ashley Library
9 a.m. - 4 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 805-6888
McClellanville Library
9 a.m. - 1 p.m.
Phone: (843) 887-3699
Folly Beach Library
9 a.m. - 1 p.m.
Phone: (843) 588-2001
Miss Jane's Building (Edisto Library Temporary Location)
9 a.m. – 3 p.m.
Phone: (843) 869-2355
John L. Dart Library
9 a.m. - 6 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 6 p.m.
Phone: (843) 849-6161
Dorchester Road Library
9 a.m. - 6 p.m.
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
9 a.m. - 6 p.m.
Phone: (843) 883-3914
John's Island Library
9 a.m. - 6 p.m.
Phone: (843) 559-1945
Otranto Road Library
9 a.m. - 6 p.m.
Phone: (843) 572-4094
Hurd/St. Andrews Library
9 a.m. - 6 p.m.
Phone: (843) 766-2546
Baxter-Patrick James Island
9 a.m. - 6 p.m.
Phone: (843) 795-6679
Bees Ferry West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 805-6892
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
Keith Summey North Charleston Library
9 a.m. – 6 p.m.
Phone: (843) 744-2489
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
An Empirical Analysis of High School Students' Practices of Modelling with Unstructured Data
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
- Author(s): Jiang, Shiyan (ORCID
Jiang, Shiyan (ORCID 0000-0003-4781-846X ); Nocera, Amato; Tatar, Cansu; Yoder, Michael Miller; Chao, Jie; Wiedemann, Kenia; Finzer, William; Rosé, Carolyn P.- Language:
English- Source:
British Journal of Educational Technology. Sep 2022 53(5):1114-1133.- Publication Date:
2022- Document Type:
Journal Articles
Reports - Research - Language:
- Additional Information
- Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: [email protected]; Web site: https://www.wiley.com/en-us
- Peer Reviewed: Y
- Source: 20
- Sponsoring Agency: National Science Foundation (NSF)
- Contract Number: DRL1949110
- Education Level: High Schools
Secondary Education - Subject Terms:
- Accession Number: 10.1111/bjet.13253
- ISSN: 0007-1013
1467-8535 - Abstract: To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created, applied, and its potential to perpetuate bias and unfairness. This study contributes to the growing interest in K-12 AI education by examining student learning of modelling real-world text data. Four students from an Advanced Placement computer science classroom at a public high school participated in this study. Our qualitative analysis reveals that the students developed nuanced and in-depth understandings of how text classification models--a type of AI application--are trained. Specifically, we found that in modelling texts, students: (1) drew on their social experiences and cultural knowledge to create predictive features, (2) engineered predictive features to address model errors, (3) described model learning patterns from training data and (4) reasoned about noisy features when comparing models. This study contributes to an initial understanding of student learning of modelling unstructured data and offers implications for scaffolding in-depth reasoning about model decision making.
- Abstract: As Provided
- Publication Date: 2022
- Accession Number: EJ1344695
- Availability:
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.