# data[].attributes.body
This is an extension of a reading comprehension chart activity students do in class that covers the 4 types of government from ancient Greece. This was attached to the back of the chart to ensure understanding of the terms that we had covered in class and through the assignment.

# data[].attributes.body
Here's an example of a Padlet post. I attached my link to a categorization task I made when teaching vocab in context for chapter 2 in Night. I made the activity with ChatGPT.

# data[].attributes.body
This is the introduction to Lipids as a macromolecule. Students in each section are general Bio students with increased numbers of EL students. Students were given two questions per slide to record information. The first question is a DOK 1 to show they understand the fact or concept, the second is DOK 2 to show they are able to apply the fact or concept. This was created using BRISK AI, it read the slide show, gave me the questions and I was about to tweek where needed.

# data[].attributes.body
To evoke critical thinking I have added some questions like these on tests. I don't necessarily expect all of my students to get the right answer, but it does make them think about what they need to do to get to the answer. I also use questioning during notes. Asking students to compare work on one problem we got right to one we didn't and why we may have made that mistake and what the mistake did in the grand scheme to make us get it wrong.

# data[].attributes.attachment_link.title
The Road to Revolution_ Fill in the Blank Activity

# data[].attributes.body
We have taken my guided notes for Math 4 and added in questions for students to explain what concept they used, how they knew to use that concept, and then show the work of solving. This requires the students to use the vocabulary learned during the lesson to explain their work.

# data[].attributes.headline
Scaffolding Critical Thinking Skills related to Interpreting Kinematics Graphs

# data[].attributes.subject
Scaffolding Critical Thinking Skills related to Interpreting Kinematics Graphs

# data[].attributes.body
Learning Target: distinguish between & interpret information shown on distance vs time graphs and speed vs time graphs.

We began with DOK 1 - identifying and defining key vocab words via note-taking. Then we applied these vocab words to each of the two graphs visually (page 1).

Next, we moved to DOK 2 - summarizing and categorizing the differences between the two graphs through a cut/glue activity (page 2). This activity was paired with a lab where students measured the distance and speed of various objects - monster trucks, marbles, etc. - and constructed graphs to track their motion.

Finally, the students utilized DOK 3 skills to produce their own distance vs time graphs for a day in the life of their favorite celebrity (page 3).

After the students completed their graphs, I scanned them and we had a class discussion about a few of them. The students think-pair-shared a description of the celebrity's motion that day. I also hand selected graphs that depicted common misconceptions and asked intentional questions to guide the students through potential improvements.

# data[].attributes.body
This a crossword puzzle using the vocabulary for solving multi-step equations.

# data[].attributes.attachment_link.title
Criss Cross Puzzle _ Discovery Education Puzzlemaker

# data[].attributes.body
I used ChatGPT to make these DOK3 questions on Dante's "Inferno" to mimic the kind of questions they will see on the EOC.

# data[].attributes.body
The reading passage took our Vocabulary for Unit 1 and has them put the words in a passage. This allows them to use the words in the proper context.

# data[].attributes.body
This lesson is broken up into sections where I teach for a few minutes, then students practice the concept for a few minutes. As the lesson progresses, students are working with more difficult concepts that involve thinking through word problems that deal with real world situations. Students have to identify independent and dependent variables, and explain what their answer means in context of the problem.

# data[].attributes.body
I found this in CommonLit to teach vocabulary in context. This also scaffolds to higher level application.