# data[].attributes.headline
structure learning itself [lecture / clickers]

# data[].attributes.subject
structure learning itself [lecture / clickers]

# data[].attributes.body
e.g. transparency

# data[].attributes.body
* response rate (why do they complete in; in class helps!)

* named (correlate with other assessments), de-identified (paired data but can't correlate with other assessment) or anonymous-> consider ease of data analysis, honesty, accountability

# data[].attributes.body
? types of questions and number of questions in small groups that emerge

--section effects [different between sections?]
--TA effects [different between TA's?]
--preparation effects [did it seem like they did the same amount of pre-work]

# data[].attributes.body
different instructor
different content
time on task

# data[].attributes.headline
[metacognitive] Explain why [clickers, TPS] did or did not advance their learning

# data[].attributes.subject
[metacognitive] Explain why [clickers, TPS] did or did not advance their learning

# data[].attributes.headline
[metacog/affective] Students self-report that the [clickers, TPS] were medium to high value in advancing their learning

# data[].attributes.subject
[metacog/affective] Students self-report that the [clickers, TPS] were medium to high value in advancing their learning

# data[].attributes.body
* self-reported
* peer-reported
* instructor assessed

# data[].attributes.body
* Recall xxx
* Explain why xxx
* Critique xxx

# data[].attributes.body
Engagement / like it

Do they perceive it advanced their learning

?correlating
Did they learn [cognitive outcomes]

# data[].attributes.headline
Activities : What students will DO (in and out of class) to achieve the LO

# data[].attributes.subject
Activities : What students will DO (in and out of class) to achieve the LO

# data[].attributes.headline
Assessments:  DATA to monitor/measure the level of achievement of LO

# data[].attributes.subject
Assessments:  DATA to monitor/measure the level of achievement of LO

# data[].attributes.headline
Learning outcomes: What will students be able to DO? Why teach this?

# data[].attributes.subject
Learning outcomes: What will students be able to DO? Why teach this?

# data[].attributes.body
* resistance and buy-in to active learning
- and existing surveys that measure student perception of active learning [let Devin know if you have trouble finding them]
- and SALG

* clicker questions
http://www.cwsei.ubc.ca/resources/files/Clicker_guide_CWSEI_CU-SEI.pdf

http://derekbruff.org/?page_id=2

video: https://www.ibiology.org/professional-development/clickers/
--> what's my flow?
individual -> [if >30% wrong TPS] -> redo-> If Y review

* types of questions students ask [ask Devin if you have trouble finding lit]

* asking whole group discussion questions successfully

* observations of student small groups [group dynamics]

# data[].attributes.body
When students are accustomed to [passive, instructor centered...] and clicker questions are introduced as part of lecture, how do they perceive xxxx

# data[].attributes.body
What is the challenge?
Student perception of learning in [passive lecture general course format ] vs "bookended" with clickers? Google Forms

What does the challenge look like?
small groups surface questions/confusion from lecture (peer instruction to resolve)

What would it look like if the challenge improved?