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Case Study: Using mLearning to Reinforce Content and Policies Melissa Cline-Douthitt / @theclineseword Jason Polete / @jpolete Learning Solutions 2013 / #LScon

Using mLearning to Reinforce Content and Policies

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Page 1: Using mLearning  to Reinforce Content and Policies

Case Study: Using mLearning to Reinforce Content and Policies

Melissa Cline-Douthitt / @theclinesewordJason Polete / @jpoleteLearning Solutions 2013 / #LScon

Page 2: Using mLearning  to Reinforce Content and Policies

About Us.(a li!le)

Page 3: Using mLearning  to Reinforce Content and Policies

Metropolitan College.

- UPS (Louisville’s largest employer)

Business

- Jefferson Community & Tech. College

- University of LouisvilleEducation

- Commonwealth of Kentucky

- Louisville Metro GovernmentGovernment

Page 4: Using mLearning  to Reinforce Content and Policies

- Work part-time at UPS (Next Day Air operation)

- Eligible for academic completion bonuses

- Receive wages and full benefits

- Eligible for full tuition* for coursework passed with a “C” or better. 

- Eligible for book reimbursement of up to $65 per class

Metropolitan College.

* full undergraduate Kentucky resident tuition

Page 5: Using mLearning  to Reinforce Content and Policies

Some Context.

Page 6: Using mLearning  to Reinforce Content and Policies

Mobile

Page 7: Using mLearning  to Reinforce Content and Policies

&

Page 8: Using mLearning  to Reinforce Content and Policies

Boredom

Page 9: Using mLearning  to Reinforce Content and Policies

=(equals)

Page 10: Using mLearning  to Reinforce Content and Policies

Opportunity

Page 11: Using mLearning  to Reinforce Content and Policies

Learning Opportunity

Page 12: Using mLearning  to Reinforce Content and Policies

Mobile

Page 13: Using mLearning  to Reinforce Content and Policies

835 million smartphone users

Page 14: Using mLearning  to Reinforce Content and Policies

5.6 billion feature phone users

Page 15: Using mLearning  to Reinforce Content and Policies

➠55%

increase in smartphone subscriptions

Page 16: Using mLearning  to Reinforce Content and Policies

98% among those making

less than $25,000

Page 17: Using mLearning  to Reinforce Content and Policies

92%

among retirees

Page 18: Using mLearning  to Reinforce Content and Policies

371K babies born every day

Page 19: Using mLearning  to Reinforce Content and Policies

371K babies born every day

Page 20: Using mLearning  to Reinforce Content and Policies

371K babies born every day

378K iPhones sold every day

Page 21: Using mLearning  to Reinforce Content and Policies
Page 22: Using mLearning  to Reinforce Content and Policies

Mobile is here to stay

Page 23: Using mLearning  to Reinforce Content and Policies

Mobile is here to stay

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Mobileis used for

Entertainment

Page 25: Using mLearning  to Reinforce Content and Policies

Mobile

Entertainment

Page 26: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

Games43%

Page 27: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

43% Games

Games43%

Social Networking26%

Page 28: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

43% Games

26% Social NetworkingGames

43%

Social Networking26%

Page 29: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

43% Games

26% Social NetworkingGames

43%

Social Networking26%

Entertainment10%

Page 30: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

43% Games

26% Social NetworkingGames

43%

Social Networking26%

Entertainment10%10% Entertainment (general)

Page 31: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

43% Games

26% Social NetworkingGames

43%

Social Networking26%

Entertainment10%10% Entertainment (general)

Page 32: Using mLearning  to Reinforce Content and Policies

Mobile Entertainment

43% Games

26% Social NetworkingGames

43%

Social Networking26%

Entertainment10%

79% Entertainment

10% Entertainment (general)

Page 33: Using mLearning  to Reinforce Content and Policies

Boredom

Page 34: Using mLearning  to Reinforce Content and Policies

Bridge a Knowledge Gap.

Page 35: Using mLearning  to Reinforce Content and Policies

Learning

Page 36: Using mLearning  to Reinforce Content and Policies

Avg. Attention Span

12 min.

5 min.

Last Decade

Page 37: Using mLearning  to Reinforce Content and Policies

Avg. Attention Span

12 sec.

8 sec.

since 2000

for Internet Search

Page 38: Using mLearning  to Reinforce Content and Policies

Abandon Slow Sites

Page 39: Using mLearning  to Reinforce Content and Policies

Abandon Slow Sites

32% of consumers...Abandon slow sites within first 1-5 sec.

Page 40: Using mLearning  to Reinforce Content and Policies

“Nuggetize” Information

Page 41: Using mLearning  to Reinforce Content and Policies

Repetitio est mater studiorum(Repetition is the mother of learning)

Page 42: Using mLearning  to Reinforce Content and Policies

Motivated by Reward

Page 43: Using mLearning  to Reinforce Content and Policies

Motivated by Reward

In 2012 60% of employers offer wellness incentive programs to employees

Page 44: Using mLearning  to Reinforce Content and Policies

Motivated by Reward

In 2012, customer loyalty/reward programs exceeded

2 billion dollars

Page 45: Using mLearning  to Reinforce Content and Policies

Extrinsic Rewards

Page 46: Using mLearning  to Reinforce Content and Policies

Extrinsic Rewards

+

Page 47: Using mLearning  to Reinforce Content and Policies

Intrinsic RewardsSatisfaction

Page 48: Using mLearning  to Reinforce Content and Policies

Short, Fun, RewardingLearning Experiences

Page 49: Using mLearning  to Reinforce Content and Policies

How Does this All Fit Together?

Page 50: Using mLearning  to Reinforce Content and Policies

Mobile(everywhere)

Page 51: Using mLearning  to Reinforce Content and Policies

Mobile(everywhere)

Boredom(opportunity)

Page 52: Using mLearning  to Reinforce Content and Policies

Learning(theory)

Mobile(everywhere)

Boredom(opportunity)

Page 53: Using mLearning  to Reinforce Content and Policies

Learning(theory)

Mobile(everywhere)

Boredom(opportunity)

Page 54: Using mLearning  to Reinforce Content and Policies

Learning(theory)

Mobile(everywhere)

Boredom(opportunity)

Page 55: Using mLearning  to Reinforce Content and Policies

The Project.

Page 56: Using mLearning  to Reinforce Content and Policies

The Project.Mobile Trivia Challenge

Page 57: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Goals

Page 58: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Goals

Use otherwise idle moments to teach.1

Page 59: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Goals

Use otherwise idle moments to teach.1

Improve our students’ program knowledge (thus reducing missed deadlines and lost benefits)

2

Page 60: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Goals

Use otherwise idle moments to teach.1

Improve our students’ program knowledge (thus reducing missed deadlines and lost benefits)

2

Gain insight into what our students know and don’t know.

3

Page 61: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Req’ments

Page 62: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Req’ments

As widely accessible as possible across mobile devices.1

Page 63: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Req’ments

As widely accessible as possible across mobile devices.1

Quick to play.2

Page 64: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Req’ments

As widely accessible as possible across mobile devices.1

Quick to play.2

Offer recognition and rewards as incentives (intrinsic & extrinsic rewards)

3

Page 65: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Pilot

Page 66: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Pilot

Web-based(Widely Accessible)

1

Page 67: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Pilot

Web-based(Widely Accessible)

1

Survey Tool(Rapidly prototype & pilot)

2

Page 68: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Pilot

Web-based(Widely Accessible)

1

Survey Tool(Rapidly prototype & pilot)

2

Limit 10 Questions(Quick play)

3

Page 69: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Pilot

Web-based(Widely Accessible)

1

Survey Tool(Rapidly prototype & pilot)

2

Limit 10 Questions(Quick play)

3

Offered Prizes(Monthly & Once/Semester)

4

Page 70: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Content

Page 71: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Content

We covered basic program information, like deadlines & requirements.1

Page 72: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Content

We covered basic program information, like deadlines & requirements.1

We covered information that students should already know.2

Page 73: Using mLearning  to Reinforce Content and Policies

Trivia Challenge: Content

We covered basic program information, like deadlines & requirements.1

We covered information that students should already know.2

We displayed the correct answer after each question.3

Page 74: Using mLearning  to Reinforce Content and Policies

What We Learned.

Page 75: Using mLearning  to Reinforce Content and Policies

Participants did not know nearly as much as we expected.

Teaching Tool

Page 76: Using mLearning  to Reinforce Content and Policies

Participants did not know nearly as much as we expected.

Teaching Tool

Evaluation Tool

Page 77: Using mLearning  to Reinforce Content and Policies

Continuing Evaluation Plans.

Page 78: Using mLearning  to Reinforce Content and Policies

Continuing Evaluation Plans.

Compare challenge participants vs. non-participants on a number of metrics.Agreement signing before deadline, FAFSA completion before deadline, etc.

1

Page 79: Using mLearning  to Reinforce Content and Policies

Continuing Evaluation Plans.

Compare challenge participants vs. non-participants on a number of metrics.Agreement signing before deadline, FAFSA completion before deadline, etc.

1

Pre/post quiz comparison of various student behaviors.Deadlines, requirements, expectations, etc.

2

Page 80: Using mLearning  to Reinforce Content and Policies

Tips.For Implementing Your Own Trivia Challenge

Page 81: Using mLearning  to Reinforce Content and Policies

Right Tool for the Job.

Page 82: Using mLearning  to Reinforce Content and Policies

Right Tool for the Job.

Best viewed as a supplement.Probably not going to replace any of your existing tools

1

Page 83: Using mLearning  to Reinforce Content and Policies

Right Tool for the Job.

Best viewed as a supplement.Probably not going to replace any of your existing tools

1

Most appropriate for simple information. Deadlines, requirements, expectations, etc.

2

Page 84: Using mLearning  to Reinforce Content and Policies

Right Tool for the Job.

Best viewed as a supplement.Probably not going to replace any of your existing tools

1

Most appropriate for simple information. Deadlines, requirements, expectations, etc.

2

Best fit with a target audience comfortable with technology.Frequent users of mobile devices

3

Page 85: Using mLearning  to Reinforce Content and Policies

Maximize Participation.

Page 86: Using mLearning  to Reinforce Content and Policies

Maximize Participation.

Research RewardsDon’t assume what will motivate your audience.

1

Page 87: Using mLearning  to Reinforce Content and Policies

Maximize Participation.

Research RewardsDon’t assume what will motivate your audience.

1

Promote your Trivia Challenge(s)Posters, emails, regular organizational communications.

2

Page 88: Using mLearning  to Reinforce Content and Policies

Maximize Participation.

Research RewardsDon’t assume what will motivate your audience.

1

Promote your Trivia Challenge(s)Posters, emails, regular organizational communications.

2

Promote Leader boardPublish high scores: websites, publications, other content streams

3

Page 89: Using mLearning  to Reinforce Content and Policies

Tips for Challenge Design.

Page 90: Using mLearning  to Reinforce Content and Policies

Multiple choice, one question per screen1

Tips for Challenge Design.

Page 91: Using mLearning  to Reinforce Content and Policies

Multiple choice, one question per screen1

No more than 10 questions2

Tips for Challenge Design.

Page 92: Using mLearning  to Reinforce Content and Policies

Multiple choice, one question per screen1

No more than 10 questions2

No more than 4 choices per question3

Tips for Challenge Design.

Page 93: Using mLearning  to Reinforce Content and Policies

Multiple choice, one question per screen1

No more than 10 questions2

No more than 4 choices per question3

Short, simply worded questions (simple, not necessarily easy)

4

Tips for Challenge Design.

Page 94: Using mLearning  to Reinforce Content and Policies

Quimle.Quick Mobile Learning & Evaluation

Page 95: Using mLearning  to Reinforce Content and Policies

Quimle.com

Page 96: Using mLearning  to Reinforce Content and Policies

Quimle.com

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Q + A

Page 98: Using mLearning  to Reinforce Content and Policies

quimle.com/c/8

Page 99: Using mLearning  to Reinforce Content and Policies

Melissa Cline-Douthitt [email protected]

#LScon #LScon-710

Jason Polete@jpolete

Thank You.