Professional Development Workshops

Below you will find all of our teacher professional development materials. These materials include handouts from the workshop, binder materials, and all session slides. For the “26 pack” of Data Nuggets, click here.

Agendas: Michigan PD July 10-11th, Colorado PD July 20-21st

Slides from all sessions

Ice breaker activity (Images to print, protocol, answer key)
Quantitative practices
What are Data Nuggets?
Process of science
Hypotheses
Graphing and data exploration
Constructing explanations (CER)
Asking productive science questions
Data Nugget research study information

Binder materials and handouts

What are Data Nuggets?
Quantitative practices in the biology classroom
- Data Nugget Guide to Graphing
- Data Nugget Tool for Constructing Explanations using Claim-Evidence-Reasoning
- The Graph Choice Chart (GCC) – a tool to help students turn data into evidence
- Quantitative Reasoning (QR) Case Studies
- QR Definitions
The process of science
Hypotheses
- Strode (2015) Hypothesis Generation in Biology: A Science Teaching Challenge & Potential Solution. The American Biology Teacher, 77(7): 500-506.
- Writing a scientific hypothesis (teacher guide) (student guide) – Paul Strode
- Hypotheses and theories explained – Understanding Science, UC Berkley
- Hypothesis misconceptions – Understanding Science, UC Berkley
Exploring data with statistics and graphing
- Data Nugget Guide to Graphing
- The Graph Choice Chart (GCC) – a tool to help students turn data into evidence
- HHMI Teacher Guide: Math and Statistics – Topics include measures of average (mean, median, mode), variability (range, standard deviation), uncertainty (standard error, 95% confidence interval), Chi-square analysis, student t-test, Hardy-Weinberg equation, frequency calculations, and more.
- Data and Error Analysis in Science – Beginners Guide (mean, median, mode, range, standard deviation, variance, standard error, and confidence intervals) – Strode and Brokaw
- Teaching independent vs. dependent variables
- Flowchart for statistics used in biology – Paul Strode
- ANOVA – Student Guide – Paul Strode
- Regression Analysis – Student Guide – Paul Strode
- Chi-square Test – Student Guide – Paul Strode
- t-test – Student Guide – Paul Strode
Supporting claims using scientific data as evidence
- BSCS Identify and Interpret Strategy – Student version, teacher version
- Constructing explanations (CER) scaffolding tool
- BSCS constructing explanations tool
- Example Student Responses for “Won’t you be my urchin?” Data Nugget
Asking good questions
- Tables from “Make Just One Change”

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Professional Development Workshops

Below you will find all of our teacher professional development materials. These materials include handouts from the workshop, binder materials, and all session slides. For the “26 pack” of Data Nuggets, click here.

Agendas: Michigan PD July 10-11th, Colorado PD July 20-21st

Slides from all sessions

Ice breaker activity (Images to print, protocol, answer key)

Data Nugget research study information

Binder materials and handouts

What are Data Nuggets?

Quantitative practices in the biology classroom

The Graph Choice Chart (GCC) – a tool to help students turn data into evidence

QR Definitions

The process of science

Science as a process (flowchart)

Hypotheses

Strode (2015) Hypothesis Generation in Biology: A Science Teaching Challenge & Potential Solution. The American Biology Teacher, 77(7): 500-506.

Writing a scientific hypothesis (teacher guide) (student guide) – Paul Strode

Hypotheses and theories explained – Understanding Science, UC Berkley

Hypothesis misconceptions – Understanding Science, UC Berkley

Exploring data with statistics and graphing

The Graph Choice Chart (GCC) – a tool to help students turn data into evidence

HHMI Teacher Guide: Math and Statistics – Topics include measures of average (mean, median, mode), variability (range, standard deviation), uncertainty (standard error, 95% confidence interval), Chi-square analysis, student t-test, Hardy-Weinberg equation, frequency calculations, and more.

Data and Error Analysis in Science – Beginners Guide (mean, median, mode, range, standard deviation, variance, standard error, and confidence intervals) – Strode and Brokaw

Flowchart for statistics used in biology – Paul Strode

ANOVA – Student Guide – Paul Strode

Regression Analysis – Student Guide – Paul Strode

Chi-square Test – Student Guide – Paul Strode

t-test – Student Guide – Paul Strode

Supporting claims using scientific data as evidence

BSCS Identify and Interpret Strategy – Student version, teacher version

Asking good questions