For your research projects about oxidation and reduction reactions in Acid Mine
Drainage we are going to create a Data Jam.
1). View this link to get ideas about how students present their data and research in
creative ways.
2). Work together in your group to come up with how you will collectively present
what you are doing in your projects and some of the data you've collected and things
you've learned so far about doing research and the nature of scientific investigations.
3). Each group is allotted 5 minutes.
4). Use google docs for planning and share with me as soon as you open the
document so I can follow along remotely.
5). Have a story board, supply list, roles for each person etc. done by the end of
class. If your presentation is still not finished that will need to be completed as well.
The report must include the following components:
1. Title
2. Name(s), grade(s), and school name(s) of all students who participated in the
project.
3. Introduction to the project (1 paragraph): Start your report by giving
background information on the issues you studied, the scientific questions
you investigated, and a brief claim about what the datasets showed. Give an
overview of the projects but do not go into specific detail in your introduction.
4. Description of the dataset(s) used and metadata (1 paragraph): Include as
much information as possible about how the data is/will be or was collected,
when they were collected, researchers involved in the project, the data
source, and any other relevant information.
5. Representations: You will need to create at least one graph, chart, and/or
table of the data using Excel or any other graphing program. Be sure to label
your axes. If you selected a large dataset, your representation only needs to
include the relevant variables.
6. Data Trends or Comparisons (2-5 sentences): Describe the trend(s) or
comparison(s) in the dataset(s) you used for your project. Examples:
o
The population increased over time with a sharp decrease in 1995;
o
The precipitation was highly variable over time.
o
If you used two datasets for a comparison, how were the data similar?
How were they different?
7. Explanation (Data Interpretation) (1-3 paragraphs): Use reasoning and what
you know about the topic to explain the trend(s) or comparison(s) you
discovered. Why is it interesting and important? Are your results expected or
surprising? What basic processes might be at work causing what you
discovered?
8. New questions & hypotheses (1 paragraph): Remember -- for your creative
piece, your job is just to describe the data. However, when you look at data
closely, you'll inevitably start asking more questions. 'Why did the numbers
go down in 2003?' The report is your place to ask 'Why?' and 'What's up
with that?' Then brainstorm some hypotheses. Hypotheses are what your
brain comes up with when you ask that 'Why?' question. You start thinking
'Maybe...' That 'maybe' is your hypothesis. Be sure to give at least two new
ideas (hypotheses and/or questions) about future scientific research that
could be done on this topic.
9. Written explanation of creative methods (1-5 sentences): Include your
reasoning for why you chose this creative method of communication. For
example, "we believe that the best way to help a general audience relate to
and understand our findings is to create a fun, engaging, and educational
video based on a popular novel or movie."
10. Reference list: include a reference list of all of the resources used (e.g., data
source, graph or table source, and anything used to explain the data
interpretation). Any standard citation form is permissible (APA, MLA, etc.), but
the same form should be used for all citations for a given project entry.