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TALE OF TWO USE CASES
Michael Roberts Jr
[sdcs] San Diego Code School
Michael Roberts Jr
SAN DIEGO CODE SCHOOL
SAN DIEGO CODE SCHOOL
8
WEEKENDS
TALE I
DATA TO OPTIMIZE THE LEARNER EXPERIENCE
TALE I: ED TECH
• Our problems are really hard
• Want to customize the learner's experience
• Know in near real time who needs help
CUSTOM PLATFORM
xAPI SPECIFICATION
• Previous standards - SCORM1.2 SCORM2004
• A new way of tracking learner activities
• Treat interactions more like learning experiences
STATEMENTS
1. Actor
2. Verb
3. Noun
DATA
THE PATH FORWARD
• Statements can record almost anything "I did this."
• History is personalized and portable
• Devices without constant network connectivity are fine
• Workflow can start in an LMS or be wherever the learner is
LMS vs. LRS
• Learning Records Store - log activities for analysis
• Learning Management System - host learning materials, the activity
producer
LMS LRS
WHAT POWERS AN LRS
• 2013 - identified MongoDB
• MongoDB backed implementations
• Easy enough to get them running locally to develop against
WHY MOSTLY MONGODB
• Can apply a flexible schema
• Exceptionally fast
• Easy to use
• Powerful Aggregation
VOIDING STATEMENTS
• Delete a/k/a what not to do
• You are supposed to "void."
• In the real world things get dirty
• If you can access the data, you can "clean" it
BY THE NUMBERS
• MongoDB could tell when students came and went
• MongoDB revealed how much time students spent coding
• MongoDB could give us the average time to complete segments of
content
750k
STATEMENTS
100
USERS
1
YEAR
REVEALING PATTERNS
• How much time people were really spending in the classroom or
coding
• Friction points in the curriculum
• Who needed support in real time
TALE II
IN THE CLASSROOM
WHY TEACH MONGODB
• Why we teach students MongoDB?
• Need to be able to contrast relational
• Teaching schema with Mongoose
FOCUSED ON DAY ONE
• Sometimes the tech/language will be used
• Often used in mixed DB environments
• MongoDB is challenging SQL
DISCOVERIES
Installing was easier for students
Running it caused few problems
Hosted solutions were economical
The defaults work brilliantly
“It just works!”
TEACHING THE SHELL
• It is intuitive for the students
• Syntax is more relatable to FullStack JS program
• Tasks like indexing, backing up, connecting are trivial
WHAT STUDENTS BUILD
• Continuous Delivery
• Principles of data security
• Making apps production ready
• Work with Native Drivers
• Practice with Document Oriented Model
6
PROJECTS
EMPLOYERS TELL US
• They want students with the ability to use SQL
• And, they like exposure to a variety of tech
TRANSFERALBE SKILLS
• Continuous Delivery and hardening apps
• Containerization
• Learning queries
SUMMARY
• MongoDB is great for activity tracking
• xAPI personalizes the learning experience
• Students quickly implement projects using MongoDB
• Real value in Learning Mongo Shell, Mongoose, and Loopback
• MongoDB gaining in the job market

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MongoDB World 2019: A Tale of Two Use Cases: Innovative MongoDB Solutions for Code Schools

  • 1. TALE OF TWO USE CASES Michael Roberts Jr [sdcs] San Diego Code School
  • 2. Michael Roberts Jr SAN DIEGO CODE SCHOOL
  • 3. SAN DIEGO CODE SCHOOL 8 WEEKENDS
  • 4. TALE I DATA TO OPTIMIZE THE LEARNER EXPERIENCE
  • 5. TALE I: ED TECH • Our problems are really hard • Want to customize the learner's experience • Know in near real time who needs help
  • 7. xAPI SPECIFICATION • Previous standards - SCORM1.2 SCORM2004 • A new way of tracking learner activities • Treat interactions more like learning experiences
  • 10. THE PATH FORWARD • Statements can record almost anything "I did this." • History is personalized and portable • Devices without constant network connectivity are fine • Workflow can start in an LMS or be wherever the learner is
  • 11. LMS vs. LRS • Learning Records Store - log activities for analysis • Learning Management System - host learning materials, the activity producer LMS LRS
  • 12. WHAT POWERS AN LRS • 2013 - identified MongoDB • MongoDB backed implementations • Easy enough to get them running locally to develop against
  • 13. WHY MOSTLY MONGODB • Can apply a flexible schema • Exceptionally fast • Easy to use • Powerful Aggregation
  • 14. VOIDING STATEMENTS • Delete a/k/a what not to do • You are supposed to "void." • In the real world things get dirty • If you can access the data, you can "clean" it
  • 15. BY THE NUMBERS • MongoDB could tell when students came and went • MongoDB revealed how much time students spent coding • MongoDB could give us the average time to complete segments of content 750k STATEMENTS 100 USERS 1 YEAR
  • 16. REVEALING PATTERNS • How much time people were really spending in the classroom or coding • Friction points in the curriculum • Who needed support in real time
  • 17. TALE II IN THE CLASSROOM
  • 18. WHY TEACH MONGODB • Why we teach students MongoDB? • Need to be able to contrast relational • Teaching schema with Mongoose
  • 19. FOCUSED ON DAY ONE • Sometimes the tech/language will be used • Often used in mixed DB environments • MongoDB is challenging SQL
  • 20. DISCOVERIES Installing was easier for students Running it caused few problems Hosted solutions were economical The defaults work brilliantly “It just works!”
  • 21. TEACHING THE SHELL • It is intuitive for the students • Syntax is more relatable to FullStack JS program • Tasks like indexing, backing up, connecting are trivial
  • 22. WHAT STUDENTS BUILD • Continuous Delivery • Principles of data security • Making apps production ready • Work with Native Drivers • Practice with Document Oriented Model 6 PROJECTS
  • 23. EMPLOYERS TELL US • They want students with the ability to use SQL • And, they like exposure to a variety of tech
  • 24. TRANSFERALBE SKILLS • Continuous Delivery and hardening apps • Containerization • Learning queries
  • 25. SUMMARY • MongoDB is great for activity tracking • xAPI personalizes the learning experience • Students quickly implement projects using MongoDB • Real value in Learning Mongo Shell, Mongoose, and Loopback • MongoDB gaining in the job market