Výsledky vyhledávání - "Ritter, Steve"

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Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?

Autor: McNichols, Hunter, Lee, Jaewook, Fancsali, Stephen, Ritter, Steve, Lan, Andrew

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

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Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software

Autor: Almoubayyed, Husni, Fancsali, Stephen, Ritter, Steve

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

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Recht der Informationssicherheit: BSIG, EU Cybersecurity Act, DS-GVO. Kommentar

Autor: Kipker, Dennis-Kenji, Reusch, Philipp, Ritter, Steve, Beucher, Klaus

Das Recht der Informationssicherheit hat in den letzten Jahren erheblich an Relevanz gewonnen. Dabei stellt es eine außerordentlich komplexe Materie nicht nur in juristischer Hinsicht dar. Die Herausforderungen an die Rechtsanwenderinnen und Rechtsa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______139::7dd9bbda98a6100601a61ea741d1322c
https://media.suub.uni-bremen.de/handle/elib/6852

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NeTra: A Neuro-Symbolic System to Discover Strategies in Math Learning

Autor: Anup Shakya, Rus, Vasile, Fancsali, Stephen, Ritter, Steve, Venugopal, Deepak

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

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Improving Middle School Math Student Sense of Belonging and Performance via a Personalization Intervention

Autor: Mathieu, Kaleb, Ritter, Steve, Fancsali, Stephen, Murphy, April

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

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Effects of Personalized Word Problem Character Names on Student Performance and Sense of Belonging in Mathematics

Autor: Ritter, Steve, Fancsali, Stephen, Murphy, April, Mathieu, Kaleb

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

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