Beat The Summer Brain Drain Through Literacy Workshop Excerpt 1 - By Lumos Learning
00:02 | mhm . First , consider keeping a journal of your | |
00:08 | summer activities . You can detail the things you do | |
00:11 | places you go . Even the people you meet . | |
00:14 | Be sure to include as much description as possible . | |
00:17 | The sights , sounds and colors should all be included | |
00:21 | , so you can easily remember and visualize the images | |
00:24 | . But the wonderful thing about a journal is that | |
00:27 | spelling and sentence structure are not as important . It's | |
00:30 | just the practice of actually writing . That's where your | |
00:33 | focus should be . The other nice thing about a | |
00:35 | journal is that this informal writing is just for you | |
00:39 | . With journal writing . You don't have to worry | |
00:42 | about anything . You just want to , right ? | |
00:47 | But if you want a little more depth to your | |
00:49 | journaling and you want to share it with others , | |
00:52 | there is a fantastic opportunity for you with blogging with | |
00:57 | parental approval , you can create a blog online , | |
01:00 | or you can share your summer experiences with friends , | |
01:03 | family or others . Yeah , |
DESCRIPTION:
This short video shows you how to maintain a summer journal and the pros of writing a journal.
OVERVIEW:
Beat The Summer Brain Drain Through Literacy Workshop Excerpt 1 is a free educational video by Lumos Learning.It helps students in grades 8 practice the following standards 8.SP.1,8.SP.2,8.SP.3.
This page not only allows students and teachers view Beat The Summer Brain Drain Through Literacy Workshop Excerpt 1 but also find engaging Sample Questions, Apps, Pins, Worksheets, Books related to the following topics.
1. 8.SP.1 : Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association..
2. 8.SP.2 : Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line..
3. 8.SP.3 : Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height..