Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Fancsali, Stephen"'
Autor:
Gao, Ge, Leon, Amelia, Jetten, Andrea, Turner, Jasmine, Almoubayyed, Husni, Fancsali, Stephen, Brunskill, Emma
Educational stakeholders are often particularly interested in sparse, delayed student outcomes, like end-of-year statewide exams. The rare occurrence of such assessments makes it harder to identify students likely to fail such assessments, as well as
Externí odkaz:
http://arxiv.org/abs/2412.15473
Intelligent Tutoring Systems (ITSs) often contain an automated feedback component, which provides a predefined feedback message to students when they detect a predefined error. To such a feedback component, we often resort to template-based approache
Externí odkaz:
http://arxiv.org/abs/2405.06414
Autor:
Thomas, Danielle R., Lin, Jionghao, Gatz, Erin, Gurung, Ashish, Gupta, Shivang, Norberg, Kole, Fancsali, Stephen E., Aleven, Vincent, Branstetter, Lee, Brunskill, Emma, Koedinger, Kenneth R.
Artificial intelligence (AI) applications to support human tutoring have potential to significantly improve learning outcomes, but engagement issues persist, especially among students from low-income backgrounds. We introduce an AI-assisted tutoring
Externí odkaz:
http://arxiv.org/abs/2312.11274
Understanding how students with varying capabilities think about problem solving can greatly help in improving personalized education which can have significantly better learning outcomes. Here, we present the details of a system we call NeTra that w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::787dfe8f6534788c9a16dd07f686bcf3
Autor:
Harrell-Williams, Leigh, Mueller, Christian, Fancsali, Stephen, Ritter, Steven, Xiaofei Zhang, Venugopal, Deepak
Using archived student data for middle and high school students' mathematics-focused intelligent tutoring system (ITS) learning collected across a school year, this study explores situational, achievement-goal latent profile membership and the stabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::515328a3259e2cd3eab26f33b354d85f
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ed6085509ba976c5145893e1293ff97
In this study we will explore the use of a personalization intervention in order to improve middle school students' sense of belonging and performance in math. Students will take a pre and post measure of belonging, and work through MATHia as normal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5c39d3d37eeab643337890119429ebc
Using UpGrade integrated with MATHia to determine the impact of personalizing the names of characters in mathematics word problems focuses on a substantive element of mathematics instruction and practice, one that we believe could be vital to better
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e26e74dd82c9f739fd14b257d9e1681
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in histori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c81d91ce7317ad8de0004213a4de93
Autor:
Rus, Vasile, Fancsali, Stephen
We propose a half-day workshop for researchers interested in (or pursuing) inter-, multi-, and trans-disciplinary convergence research in educational data science. This workshop builds on the two previous workshops held at EDM 2020 and EDM 2021, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65fedbde6fa578dfdcd904c921693d45