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Students designing online games for
active learning sessions in chemistry
courses
Brandon P. Eklund, Dylan Gilbertson, Joseph W.
Inhofer, Jason D. Greenwood, Omar Mohamed,
Peter L. Larsen, Xavier Prat-Resina
Center for Learning Innovation
University of Minnesota - Rochester
http://chemdata.r.umn.edu/edulearn14.pptx
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Laptop Program Active Learning Degree in Health Science
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Simple online activities
Low-level thinkingMemorize basic chemistry
Nomenclature
Acid/Base
Amino acids
1st year
Chem.
Students
High level thinking
Learn web programming
Create games
Teach chemistry
2nd year
Chem.
Students
Navigate + Display
http://chemdata.r.umn.edu
ChemEd X Data
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Objectives:
Implementing online game-like activities for non-game tasks to
increase engagement and retention
Our needs:
First-year students in chemistry need basic skills such as chemistry
nomenclature, identifying the acid/basic character of compounds or, in
biochemistry, memorize amino acids:
low-order thinking (boring, repetitive… necessary)
Challenges:
The best game engages: it is not boring
and it is not frustrating.
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Why should everyone learn web programing?
Programming promotes the development of higher mental functions
It makes students create, pay attention to detail and work on problem solving
Understand the web!
privacy + security
data ownership
Quiz yourself on “how the web works”:
Does Facebook know if…
I close the window?
Click on a picture?
Scroll down
 When I erase a picture from Facebook. Does it disappear forever?
 When I navigate as “incognito” who knows what sites I visit.
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
How?
Weekly seminar of 2nd year students: A project-based course
Each students ends the semester with at least one
fully functional online activity
They take online tutorials at home. Bring questions to class
http://www.codecademy.com/
We only use basic action elements:
http://jqueryui.com/demos/
Click on buttons
Drag and drop
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Timed multiple choice
(Progress: scaffold difficulty)
Right choice and speed is rewarded
Achievement:
A leader
board
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Data aligned with topics and
compounds in undergraduate curriculum
Tagged with different levels of complexity
Scattered/Unstructured
open data
Chem Ed X Data
Unstructured but easy to represent, parse and sort data
To prove/disprove a chemical statement
http://chemdata.r.umn.edu/
ChemEd X Data: Exposing Students to Open Scientific Data for Higher-Order Thinking and Self-
Regulated Learning. B. Eklund and X. Prat-Resina. J. Chem. Educ. In press
Edulearn 2014
Static, “precooked”
data
1. Look at this graph
2. See what I want you to see
3. Explain how everything perfectly fits
4. Believe me
Unstructured data
Non-linear
Non-sequential
Open-ended
Remember  Understand  Apply  Analyze
Evaluate
1. Choose some data
2. Represent it
3. Analyze it
4. Interpret it
Prat-Resina. Univ. Minnesota Rochester
Where can Computer Based Learning Environments (CBLE) be most useful?
Skills required: Self-regulation
Self-evaluation
The web
Edulearn 2014
Graphical representation
Sorting, filtering tables
Selecting
molecular families
and
properties
Metadata for search
Prat-Resina. Univ. Minnesota Rochester
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Explanatory questions (pre-selected sets of data.
One right answer).
“Why do these molecules show this trend for
property X?”
Problem solving questions:(pre-selected sets of data.
One right answer)
“If the heavier the molecule the larger the heat
capacity. Why does the heat capacity decrease in the
following set of data?”
Prove it: (open-ended)
Choose a set of molecules that prove that hydrogen bonds are stronger than dipole-
dipole interaction but much weaker than ionic bonds.
Building knowledge: (open-ended)
Choose a set of data to describe what molecular properties have an influence in
heat of combustion.
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
The good:
A win-win situation:
An opportunity to include programming in any undergraduate major
We obtain game-like activities targeting specific needs for our courses
The bad:
It is hard to have students learn web design and develop in one semester a
platform that meets the quality to be used in class.
The ugly
Still, a very small portion of students (all male!) are interested in programming
Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
Omar
Mohamed
Brandon Eklund Dylan Gilbertson Joe Inhofer Peter Larsen
Jason
Greenwood

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Chemistry Gamification - Edulearn 2014

  • 1. Students designing online games for active learning sessions in chemistry courses Brandon P. Eklund, Dylan Gilbertson, Joseph W. Inhofer, Jason D. Greenwood, Omar Mohamed, Peter L. Larsen, Xavier Prat-Resina Center for Learning Innovation University of Minnesota - Rochester http://chemdata.r.umn.edu/edulearn14.pptx
  • 2. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Laptop Program Active Learning Degree in Health Science
  • 3. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Simple online activities Low-level thinkingMemorize basic chemistry Nomenclature Acid/Base Amino acids 1st year Chem. Students High level thinking Learn web programming Create games Teach chemistry 2nd year Chem. Students Navigate + Display http://chemdata.r.umn.edu ChemEd X Data
  • 4. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Objectives: Implementing online game-like activities for non-game tasks to increase engagement and retention Our needs: First-year students in chemistry need basic skills such as chemistry nomenclature, identifying the acid/basic character of compounds or, in biochemistry, memorize amino acids: low-order thinking (boring, repetitive… necessary) Challenges: The best game engages: it is not boring and it is not frustrating.
  • 5. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Why should everyone learn web programing? Programming promotes the development of higher mental functions It makes students create, pay attention to detail and work on problem solving Understand the web! privacy + security data ownership Quiz yourself on “how the web works”: Does Facebook know if… I close the window? Click on a picture? Scroll down  When I erase a picture from Facebook. Does it disappear forever?  When I navigate as “incognito” who knows what sites I visit.
  • 6. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester How? Weekly seminar of 2nd year students: A project-based course Each students ends the semester with at least one fully functional online activity They take online tutorials at home. Bring questions to class http://www.codecademy.com/ We only use basic action elements: http://jqueryui.com/demos/ Click on buttons Drag and drop
  • 7. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
  • 8. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester
  • 9. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Timed multiple choice (Progress: scaffold difficulty) Right choice and speed is rewarded Achievement: A leader board
  • 10. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Data aligned with topics and compounds in undergraduate curriculum Tagged with different levels of complexity Scattered/Unstructured open data Chem Ed X Data Unstructured but easy to represent, parse and sort data To prove/disprove a chemical statement http://chemdata.r.umn.edu/ ChemEd X Data: Exposing Students to Open Scientific Data for Higher-Order Thinking and Self- Regulated Learning. B. Eklund and X. Prat-Resina. J. Chem. Educ. In press
  • 11. Edulearn 2014 Static, “precooked” data 1. Look at this graph 2. See what I want you to see 3. Explain how everything perfectly fits 4. Believe me Unstructured data Non-linear Non-sequential Open-ended Remember  Understand  Apply  Analyze Evaluate 1. Choose some data 2. Represent it 3. Analyze it 4. Interpret it Prat-Resina. Univ. Minnesota Rochester Where can Computer Based Learning Environments (CBLE) be most useful? Skills required: Self-regulation Self-evaluation The web
  • 12. Edulearn 2014 Graphical representation Sorting, filtering tables Selecting molecular families and properties Metadata for search Prat-Resina. Univ. Minnesota Rochester
  • 13. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Explanatory questions (pre-selected sets of data. One right answer). “Why do these molecules show this trend for property X?” Problem solving questions:(pre-selected sets of data. One right answer) “If the heavier the molecule the larger the heat capacity. Why does the heat capacity decrease in the following set of data?” Prove it: (open-ended) Choose a set of molecules that prove that hydrogen bonds are stronger than dipole- dipole interaction but much weaker than ionic bonds. Building knowledge: (open-ended) Choose a set of data to describe what molecular properties have an influence in heat of combustion.
  • 14. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester The good: A win-win situation: An opportunity to include programming in any undergraduate major We obtain game-like activities targeting specific needs for our courses The bad: It is hard to have students learn web design and develop in one semester a platform that meets the quality to be used in class. The ugly Still, a very small portion of students (all male!) are interested in programming
  • 15. Edulearn 2014 Prat-Resina. Univ. Minnesota Rochester Omar Mohamed Brandon Eklund Dylan Gilbertson Joe Inhofer Peter Larsen Jason Greenwood