Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cristina Heffernan"'
Autor:
Arthur C. Graesser, Xiangen Hu, Benjamin D. Nye, Kurt VanLehn, Rohit Kumar, Cristina Heffernan, Neil Heffernan, Beverly Woolf, Andrew M. Olney, Vasile Rus, Frank Andrasik, Philip Pavlik, Zhiqiang Cai, Jon Wetzel, Brent Morgan, Andrew J. Hampton, Anne M. Lippert, Lijia Wang, Qinyu Cheng, Joseph E. Vinson, Craig N. Kelly, Cadarrius McGlown, Charvi A. Majmudar, Bashir Morshed, Whitney Baer
Publikováno v:
International Journal of STEM Education, Vol 5, Iss 1, Pp 1-21 (2018)
Abstract Background The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initi
Externí odkaz:
https://doaj.org/article/9de15fecd0a24e49a9840626bbe91adb
Publikováno v:
EuroPLoP
Increasingly, computer-based learning systems are used by educators to facilitate learning. Evaluations of several math learning systems show that they result in significant student learning improvements. Feedback provision is one of the key features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::556d54ef7b04077d55b4facb59fde5f8
https://doi.org/10.1145/3147704.3147738
https://doi.org/10.1145/3147704.3147738
Autor:
Ryan S. Baker, Jaclyn Ocumpaugh, Stefan Slater, Maria Ofelia Clarissa Z. San Pedro, Cristina Heffernan, Neil T. Heffernan, M. Aaron Hawn
Publikováno v:
LAK
Advances in the learning analytics community have created opportunities to deliver early warnings that alert teachers and instructors when a student is at risk of not meeting academic goals [6], [71]. Alert systems have also been developed for school
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9f2d45a2e782f54c88e9339fce6a5e
https://doi.org/10.1145/3027385.3027435
https://doi.org/10.1145/3027385.3027435
Autor:
Neil T. Heffernan, Cristina Heffernan
Publikováno v:
International Journal of Artificial Intelligence in Education. 24:470-497
The ASSISTments project is an ecosystem of a few hundred teachers, a platform, and researchers working together. Development professionals help train teachers and get teachers to participate in studies. The platform and these teachers help researcher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02de95a2077a95d07f932ce02630c07d
https://doi.org/10.1007/s40593-014-0024-x
https://doi.org/10.1007/s40593-014-0024-x
Publikováno v:
British Journal of Educational Technology. 45:487-501
Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2dc048dbf6c68af9350dd2553f9a77f
https://doi.org/10.1111/bjet.12156
https://doi.org/10.1111/bjet.12156
Publikováno v:
LAK
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7196cc43aff69a4fb7ca11ff2ad354
https://doi.org/10.1145/2723576.2723618
https://doi.org/10.1145/2723576.2723618
Autor:
Neil T. Heffernan, Deena Soffer Goldstein, Susan R. Goldman, Kim M. Kelly, Cristina Heffernan, James W. Pellegrino
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642391118
AIED Workshops
Scopus-Elsevier
AIED Workshops
Scopus-Elsevier
Traditional studies of intelligent tutoring systems have focused on their use in the classroom. Few have explored the advantage of using ITS as a web-based homework (WBH) system, providing correctness-only feedback to students. A second underapprecia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224bf2348d9add7060f8b62f2738272a
https://doi.org/10.1007/978-3-642-39112-5_122
https://doi.org/10.1007/978-3-642-39112-5_122
Autor:
Matthew D. Dailey, Muhammad Saleem, Courtney Mulcahy, Cristina Heffernan, Cristine O'Connor, Ravi Singh, Prabodha R. Pradhan, Neil T. Heffernan, Leena Razzaq
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642218682
AIED
AIED
Prior work has shown that computer-supported homework can lead to better results over traditional paper-and-pencil homework. This study about learning from homework involved the comparison of immediate-feedback with tutoring versus a control conditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe0ebd7454763b49ed88311fa4370e8
https://doi.org/10.1007/978-3-642-21869-9_43
https://doi.org/10.1007/978-3-642-21869-9_43
Publikováno v:
User Modeling 2007 ISBN: 9783540730774
User Modeling
User Modeling
A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and how is that granularity derived? In this paper we will explore models w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cae8403e5a7f0a434785fe875186c1a
https://doi.org/10.1007/978-3-540-73078-1_60
https://doi.org/10.1007/978-3-540-73078-1_60