Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Philip Sadler"'
Publikováno v:
Evolution: Education and Outreach, Vol 16, Iss 1, Pp 1-18 (2023)
Abstract Background Measuring what students know and retain about evolution is essential to improving our understanding of how students learn evolution. The literature shows that college students appear to have a poor understanding of evolution, answ
Externí odkaz:
https://doaj.org/article/f8d9eb755d4e46eb8e2a2f51f04ae686
Publikováno v:
Journal of Mathematics Education at Teachers College, Vol 14, Iss 1 (2023)
Although the secondary-tertiary transition has been investigated in mathematics education research with different focuses and theoretical approaches, it remains a major issue for students in the transition. With success in a science, technology, engi
Externí odkaz:
https://doaj.org/article/6378ca82e4764d6d8a157ffd1f6f271d
Publikováno v:
Journal of Mathematics Education at Teachers College, Vol 7, Iss 1 (2016)
This article compares the views of teachers and professors about the transition from secondary mathematics to tertiary calculus. Quantitative analysis revealed five categories where teachers and professors differed significantly in the relative frequ
Externí odkaz:
https://doaj.org/article/d091f4dab0b2442d95be490a61ed3455
Publikováno v:
Teachers College Record: The Voice of Scholarship in Education. 124:117-142
Background: The United States continues to invest considerable resources into developing the next generation of science, technology, engineering, and mathematics (STEM) talent. Efforts to shore up interest in pursuing STEM careers span decades and ha
Publikováno v:
InnovAiT: Education and inspiration for general practice. 14:33-37
Prostatitis is generally characterised as painful inflammation of the prostate, with or without bacterial infection. It is the most frequent urological diagnosis in men under 50 years in age, and the third most common urological diagnosis in men over
Autor:
Bivin Philip Sadler, S. Lynne Stokes
Publikováno v:
Recent Advances on Sampling Methods and Educational Statistics ISBN: 9783031145247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd6659da86c7dd8e6de8a5fab950a8c5
https://doi.org/10.1007/978-3-031-14525-4_12
https://doi.org/10.1007/978-3-031-14525-4_12
Publikováno v:
Fisheries Research. 252:106329
Publikováno v:
Scopus-Elsevier
Data Science students and practitioners want to find a forecast that “works” and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for