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Research Interests:
• Studying and developing novel Machine Learning, Deep Learning, and Natural Language Processing approaches to design and implement automated models to analyze texts written in natural language and provide students with timed personalized formative feedback, allowing them to improve their scientific writing and argumentation skills.
• Support K-12 teachers with making data-informed decisions to adjust their instruction in real-time to the individual needs of their students.
Research Interests
Papers共 18 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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期刊级别
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合作机构
JOURNAL OF RESEARCH IN SCIENCE TEACHINGno. 8 (2024): 1858-1889
Jamie N. Mikeska,Beata Beigman Klebanov, Alessia Marigo, Jessica Tierney, Tricia Maxwell,Tanya Nazaretsky
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT II, AIED 2024 (2024): 251-258
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT II, AIED 2024 (2024): 104-118
International Conference on Computer Supported Educationpp.436-444, (2024)
TECHNOLOGY ENHANCED LEARNING FOR INCLUSIVE AND EQUITABLE QUALITY EDUCATION, PT I, EC-TEL 2024 (2024): 284-298
Educational Data Mining (2023)
LAK2023: LAK23: 13th International Learning Analytics and Knowledge Conferencepp.122-132, (2023)
Educational Data Mining (2023)
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Author Statistics
#Papers: 18
#Citation: 100
H-Index: 5
G-Index: 10
Sociability: 3
Diversity: 1
Activity: 9
Co-Author
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D-Core
- 合作者
- 学生
- 导师
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