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+Secrets for Conducting Student Research
Dr. Darci J. Harland
Tips for Organization
Andrews University February 2013
+The Power Of Social Networking
Professional Learning Communities (Networks)
PLC or PLN
+
Connect with Me!
http://www.STEMmom.org
Twitter: #djSTEMmom
http://www.facebook.com/StemMom#
Contact Info
+ Dr. Darci J. Harland
+
CeMaST: Center for Mathematics, Science, and Technology
Written directly to the student
Geared to high school & undergraduate students
“Teacher Cues”
Chapter Questions &
Chapter Applications
Sample rubrics
About The Handbook
+ Tonight’s Topics Overview of the Handbook
Finding a Research Topic
Getting Started: Research Design
Working with a Group
Data Collection
Determining the Meaning of Data
+
+ Levels of Inquiry
Demo-nstration
Activity Teacher-Initiated
Student-Initiated
Posing the Question
Teacher Teacher Teacher Student
Planning the Procedure
Teacher Teacher Student Student
Formulating the Results
Teacher Student Student Student
From: D. Llewellyn. 2002. Inquiry within: Implementing inquiry-based science standards. Thousand Oaks, Corwin Press.
An interview I did:http://www.nsta.org/publications/press/interviews.aspx
+
Tips for
Finding a Research Topic
+ Getting A Research Topic
www.TED.com
www.popsci.com
www.scientificamerican.com
+ Getting A Research Topic
dsc.discovery.com/tv-shows/mythbusters
www.scistarter.com
Search “Citizen Science”
+ Consider the tools…
+
Tips for
Getting Started
+ Refine Your Topic Idea
+
+Continue in Background Research
vs.
Basic search engine vs. database search
Identifying reliable resources
Free Open Access Scholarly research articles for free! See pg. 39 for a listing
+ Read-Read-Read & Take Organized Notes…
www.endnote.com
www.EasyBib.com
www.NoodleTools.com
+ Efficient Note Taking
Write 5 overarching questions to answer Entity Independent variable Dependent variable Connections between the 2 variables
+
Tips for
Working in Groups
+ Tips For Successful Groups
Schedule Time for Group Meetings
Determine strengths
Assign tasks
Write contract
Use Technology: for easier collaboration
+
Use Google Drive for sharing & collaboration Word Documents Excel spreadsheets
+ Google Docs for Group Writing
+ Google Docs: Revision History
+ Social Bookmarking Bookmark-online and share with others
Mark up webpages, highlight make sticky notes
Photo Sharing Websites Pinterest, Flicker, Picaso Share photos, tag them,
+
Tips for
Data Collection
+ Organize your Lab Notebook Develop Tables for Recording Data
Quantitative (#) Qualitative (descriptions)
+ Pay Attention to the Details
Monitor and record the influence of external variables
Keep pH, temperature, humidity, light, evaporation rate, etc… the SAME if this is not what you are testing.
+ Observations vs. Inferences
A possible explanation for an observation
Your perception of what is happening.
Can change with additional data
Measurements.
A record of what is seen, heard, smelled, felt, or tasted.
Facts that can not be argued or changed.
+ Recording Observations & Inferences
+ Google Docs: Data Collection
+
Tips for
Determining the Meaning of Data
+ Lab Notebook = Raw Data Your job: Change raw data to be meaningful
Create tables and graphs of raw data, descriptive, and inferential statistical tests Look for trends, patterns, interesting results Correlate these to any outside influences
+ Descriptive vs. Inferential Stats Calculations that
describe the data
Highlight the most typical values in a set of data
Examples: Central tendency;
mean, median, mode Range Standard deviation Variance
Calculations that determine whether differences between groups are due to chance or to the treatment
Determines if results are statistically significant
Examples: t-tests ANOVA Chi-Square Correlation
+ What do the Data Mean? 3 ?’s
1. What is true about my data? What new questions come from the data?
+ What do the Data Mean? 3 ?’s
2. How do the data describe the relationship between the two variables?
IVDV
+ What do the Data Mean? 3 ?’s
2. How do the data describe the relationship between the two variables?
Did the change (IV) I make, cause the effect I measured (DV)?
IVDV
Yes….why?
No….why?
+ What do the Data Mean? 3 ?’s
3. Do the data support the hypothesis?
ProvedSupported
How strongly do the data support the results?
If no connection….why?
