Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jeffrey M Devries"'
Publikováno v:
Education Sciences, Vol 13, Iss 6, p 624 (2023)
Internationally, teachers use oral reading fluency (ORF) measurements to monitor learning progress in reading and adapt instruction to the individual needs of students. In ORF measures, the child reads aloud single syllables, words, or short passages
Externí odkaz:
https://doaj.org/article/1c336c88cc98430b9e61b08b29451c18
Publikováno v:
Journal of Numerical Cognition, Vol 6, Iss 1, Pp 66-82 (2020)
Number line estimation tasks have been considered a good indicator of mathematical competency for many years and are traditionally analyzed by fitting individual regression curves to individual responders. We innovate on this technique by applying gr
Externí odkaz:
https://doaj.org/article/7a121f07a474448d98133d8a8f6865a6
Publikováno v:
Frontiers in Education, Vol 5 (2020)
Varied teaching techniques are an important aspect of a successful classroom. Student and classroom factors such as ability level, lower socioeconomic status, and/or native language can interact with teaching techniques. Previous work suggests that e
Externí odkaz:
https://doaj.org/article/b116b6dcb199487f98ef688f24261b2a
Publikováno v:
Education Sciences; Volume 13; Issue 6; Pages: 624
Internationally, teachers use oral reading fluency (ORF) measurements to monitor learning progress in reading and adapt instruction to the individual needs of students. In ORF measures, the child reads aloud single syllables, words, or short passages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4d5fdd3989aac6a00fc5ce978687b69b
Publikováno v:
Social Sciences, Vol 10, Iss 1, p 11 (2021)
Self-concept and self-esteem are strongly tied to both academic achievement and risk factors for lower academic achievement. The German National Educational Panel Study (NEPS) provides large-scale representative longitudinal data for mathematics, rea
Externí odkaz:
https://doaj.org/article/ea2e5808e33448a7a708dead51497619
Publikováno v:
Methodology of Educational Measurement and Assessment ISBN: 9783031270062
Risk factors for poor academic performance include variables such as lower socio-economic status, migrant status, and the presence of special education needs. These risk factors can be mediated by the self-concept of the learner, instructional techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c9f573d4f84b4d081b130bb13706231
https://doi.org/10.1007/978-3-031-27007-9_6
https://doi.org/10.1007/978-3-031-27007-9_6
Publikováno v:
Frontiers in Education, Vol 3 (2018)
Reading comprehension at sentence level is a core component in the students' comprehension development, but there is a lack of comprehension assessments at the sentence level, which respect the theory of reading comprehension. In this article, a new
Externí odkaz:
https://doaj.org/article/c7daf79c0bbd452bb902f91b8a6eef1a
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Prosocial behavior and peer problems are an important correlate of academic development; however, these effects vary by achievement measures and social behaviors. In this paper, we examined data from the German National Education Panel Study (NEPS),
Externí odkaz:
https://doaj.org/article/d8a167f3d8ec475381fac468f5c40207
Autor:
Markus Gebhardt, Jeffrey M. DeVries, Jana Jungjohann, Gino Casale, Andreas Gegenfurtner, Jörg-Tobias Kuhn
Publikováno v:
Social Sciences, Vol 8, Iss 2, p 46 (2019)
Direct Behavior Rating (DBR) as a behavioral progress monitoring tool can be designed as longitudinal assessment with only short intervals between measurement points. The reliability of these instruments has been mostly evaluated in observational stu
Externí odkaz:
https://doaj.org/article/79f5ac5674e04a30b51e2bd182a708ce
Publikováno v:
Journal of Numerical Cognition, Vol 6, Iss 1, Pp 66-82 (2020)
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
Number line estimation tasks have been considered a good indicator of mathematical competency for many years and are traditionally analyzed by fitting individual regression curves to individual responders. We innovate on this technique by applying gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a928f690a79880b76153108380ebfdf4
https://doi.org/10.5964/jnc.v6i1.212
https://doi.org/10.5964/jnc.v6i1.212