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pro vyhledávání: '"Joseph E. Beck"'
Autor:
Joseph E. Beck, Ashvini Varatharaj, Diana Doherty, Anthony F. Botelho, Thanaporn Patikorn, Seth Adjei
Publikováno v:
IEEE Transactions on Learning Technologies. 12:158-170
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggl
Autor:
Joseph E. Beck, Hao Wan
Publikováno v:
L@S
The ability to customize instruction to individuals is a great potential for adaptive educational software. Unfortunately, beyond mastery learning and learner control, there has not been much work with adapting instruction to individuals. This paper
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319614243
AIED
AIED
We attempted to model the Incubation Effect, a phenomenon in which a momentary break helps the generation of a solution to a problem, among students playing Physics Playground. We performed a logistic regression analysis to predict the outcome of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f643836ec7e341b25b25bf6820bb1b1e
https://doi.org/10.1007/978-3-319-61425-0_31
https://doi.org/10.1007/978-3-319-61425-0_31
Publikováno v:
Journal of Educational Computing Research. 49:249-276
A 7-month study of 178 students in grades 1-4 at two Blue Ribbon schools compared two daily 20-minute treatments. Eighty-eight students used the 2000–2001 version of Project LISTEN's Reading Tutor ( www.cs.cmu.edu/∼listen ) in 10-computer labs, a
Publikováno v:
LAK
The focus of the learning analytics community bridges the gap between controlled educational research and data mining. Online learning platforms can be used to conduct randomized controlled trials to assist in the development of interventions that in
Autor:
Ma. Mercedes T. Rodrigo, Juliana Ma. Andres, Thelma D. Palaoag, Joseph E. Beck, Juan Miguel L. Andres
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783319395821
ITS
ITS
We study wheel-spinning behavior among students using an educational game for physics. We attempted to determine whether students wheel-spin, and to build a wheel-spinning detector. We found that about 30 to 40i?ź% of students are unable to successf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee0a5498bdeb2dec87140bb940228a14
https://doi.org/10.1007/978-3-319-39583-8_23
https://doi.org/10.1007/978-3-319-39583-8_23
Autor:
Dovan Rai, Joseph E. Beck
Publikováno v:
International Journal of Game-Based Learning. 2:90-110
Educational games intend to make learning more enjoyable, but carry the potential cost of compromising learning efficiency by consuming both instructional time and student cognitive resources. Therefore, instead of creating an educational game, the a
Autor:
Yue Gong, Joseph E. Beck
Publikováno v:
L@S
Wheel-spinning refers to a phenomenon in which a student has spent a considerable amount of time practicing a skill, yet displays little or no progress towards mastery. Wheel-spinning has been shown to be a common problem affecting a significant numb
Automatic Extraction of Highly Predictive Sequence Features that Incorporate Contiguity and Mutation
Publikováno v:
Biomedical Engineering Systems and Technologies ISBN: 9783319261287
BIOSTEC (Selected Papers)
BIOSTEC (Selected Papers)
This paper investigates the problem of extracting sequence features that can be useful in the construction of prediction models. The method introduced in this paper generates such features by considering contiguous subsequences and their mutations, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22bf0ab72c36d98931897274d333bda9
https://doi.org/10.1007/978-3-319-26129-4_14
https://doi.org/10.1007/978-3-319-26129-4_14
Autor:
Jack Mostow, Joseph E. Beck
Publikováno v:
Natural Language Engineering. 12:195-208
Mining data logged by intelligent tutoring systems has the potential to discover information of value to students, teachers, authors, developers, researchers, and the tutors themselves – information that could make education dramatically more effic