Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ani Aghababyan"'
Publikováno v:
Journal of Learning Analytics; Vol 3 No 3 (2016): Learning Analytics Tutorials; 96-114
Learning analytics is an emerging discipline and, as such, it benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the 2nd annual Learning Analy
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783319914633
ITS
ITS
While prior research has typically treated student self-confidence as a static measure, confidence is not identical in all situations. We study the degree to which confidence varies over time using entropy, investigating whether high variation in con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5937a7d55770a456385d77f4e7a27af
https://doi.org/10.1007/978-3-319-91464-0_27
https://doi.org/10.1007/978-3-319-91464-0_27
Autor:
Taylor Martin, Carmen Petrick Smith, Nicole Forsgren, Stephanie Baker, Philip Janisiewicz, Ani Aghababyan
Publikováno v:
Journal of the Learning Sciences. 24:593-637
The struggle with fraction learning in kindergarten through Grade 12 in the United States is a persistent problem and one of the major stumbling blocks to succeeding in higher mathematics. Research into this problem has identified several areas where
Publikováno v:
Technology, Knowledge and Learning. 20:339-355
Advances in educational neuroscience have made it possible for researchers to conduct studies that observe concurrent behavioral (i.e., task performance) and neural (i.e., brain activation) responses to naturalistic educational activities. Such studi
Publikováno v:
LAK
People in general and students in particular have a tendency to misinterpret their own abilities. Some tend to underestimate their skills, while others tend to overestimate them. This paper investigates the degree to which metacognition is asymmetric
Autor:
Aatish Salvi, Ryan S. Baker, Taylor Martin, Martin van Velsen, Ma. Mercedes T. Rodrigo, Jaclyn Ocumpaugh, Ani Aghababyan
Publikováno v:
SIGDOC
This paper evaluates the Human Affect Recording Tool (HART), a Computer Assisted Direct Observation (CADO) application that facilitates scientific sampling. HART enforces an established method for systematic direct observation in Educational Data Min
Autor:
Rachel S. Phillips, Jay Pfaffman, Jenna Olsen, Stephanie Baker, Philip Janisiewicz, Carmen Petrick Smith, Taylor Martin, Ani Aghababyan
Publikováno v:
LAK
A working understanding of fractions is critical to student success in high school and college math. Therefore, an understanding of the learning pathways that lead students to this working understanding is important for educators to provide optimal l