Developing Parent and Community Understanding of Performance-Based Assessment
Autor Kathryn Alvestaden Limba Engleză Hardback – 25 sep 2017
Preț: 624.06 lei
Preț vechi: 839.00 lei
-26% Nou
Puncte Express: 936
Preț estimativ în valută:
119.43€ • 124.06$ • 99.21£
119.43€ • 124.06$ • 99.21£
Carte tipărită la comandă
Livrare economică 01-15 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781138432727
ISBN-10: 1138432725
Pagini: 126
Dimensiuni: 210 x 297 mm
Greutate: 0.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 1138432725
Pagini: 126
Dimensiuni: 210 x 297 mm
Greutate: 0.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Public țintă
Professional Practice & DevelopmentCuprins
Chapter 1 Introducing Performance-Based Assessment: Changing Times Require Changes In Practice; Chapter 2 Some Basic Principles; Chapter 3 Step One: Introducing Performance-Based Assessment; Chapter 4 Step Two: Sharing Knowledge About Performance-Based Assessment; Chapter 5 Step Three: Teaching Performance-Based Skills to Parents; Chapter 6 Step Four: Helping Parents Practice Performance-Based Skills; Chapter 7 Maintaining Communication;
Descriere
The book presents improved equations for monthly water resources models, in particular for interception and transpiration. Most of the existing monthly models do not make a distinction between interception and transipiration, while this distinction is very important for management purposes. Interception is direct feedback to the atmosphere, important to sustain rainfall. Transpiration is a good indicator for plant growth and biomass production. This distinction also contributes to the estimation of recharge and therewith of runoff.;The derivations are based on the Markov theory for the occurrence of rain-days. The methodology can be used on the basis of an analysis of a few time series of daily data, at a spatial scale of 300km and not necessarily of the same period as the monthly data. Zimbabwe served as the case study, but derived equations can be used worldwide as long as the relationship between the monthly rainfall and the mean number of rain-days can be established.