E-learning Design Principles 2013

DRAFT DRAFT E-Learning Design Principles 05-899 DRAFT DRAFT

Fall 2013 Syllabus Carnegie Mellon University

Class times

1:30 to 2:50 Tuesday & Thursday

Location

5222 Gates-Hillman Center (GHC)

Instructor

Professor Ken Koedinger

Office: 3601 Newell-Simon Hall, Phone: 412-268-7667

Email: Koedinger@cmu.edu, Office hours by appointment

Class URLs

Syllabus and useful links: learnlab.org/research/wiki/index.php/E-learning_Design_Principles_2013

For quizzes and reading reports go www.cmu.edu/blackboard. The course is listed as "Special Topics in HCI".

Goals

This course is about e-learning design principles, the evidence and theory behind them, and how to apply these principles to develop effective educational technologies. It is organized around the book "e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning" by Clark & Mayer with further readings drawn from cognitive science, educational psychology, and human-computer interaction. You will learn design principles 1) for combining words, audio, and graphics in multimedia instruction, 2) for combining examples, explanations, practice and feedback in online support for learning by doing, and 3) for balancing learner versus system control and supporting student metacognition. You will read about the experiments that support these design principles, see examples of how to design such experiments, and practice applying the principles in educational technology development.

Course Prerequisites

To enroll you must either be in the Masters of Educational Technology and Applied Learning Science (METALS) or get the permission of the instruction.

Textbook and Readings

"E-Learning and the Science of Instruction: 3rd edition" by Ruth Colvin Clark and Richard E. Mayer. Other readings will be assigned in class. See below.

Flipped Homework: Reading Reports and Reading Quizzes

We are often going to implement "flipped homework", a variation on the flipped classroom idea you might have heard of. Flipped homework is an assignment before a relevant class meeting rather than after it. It helps students (you!) to "problematize" the topic -- to get a better sense of what you don't know and what questions you have. It helps instructors focus the class discussion to better avoid belaboring what students already know and to better pursue student needs and interests.

Before some class sessions, you will asked to do a quiz associated with the assigned book chapter. The quizzes will be on the Blackboard site (www.cmu.edu/blackboard) for the course.

Before other class sessions, you will be asked to write "reading reports". We will use the discussion board on Blackboard (www.cmu.edu/blackboard) for this purpose. Unless otherwise directed, you should make two posts on the readings before 9am on the day of class that those readings are due. If slides for the class are available, please review these as well.

These posts serve multiple purposes: 1) to improve your understanding and learning from the readings, 2) to provide instructors with insight into what aspects of the readings merit further discussion, either because of student need or interest, and 3) as an incentive to do the readings before class!

In general, please come to class prepared to ask questions and give answers.

Your two posts may be original or in response to another post (one of both is nice).

• Original posts should contain one or more of the following:
  • something you learned from the reading or slides
  • a question you have about the reading or slides or about the topic in general
  • a connection with something you learned or did previously in this or another course, or in other professional work or research

• Replies should be an on-topic, relevant response, clarification, or further comment on another student’s post.

Grading

• 55% Final Project
  • 45% Six parts of final project, 7.5% each
  • 10% Final project submission
• 5% E-Learning examples assignment
• 10% Peer review and feedback
• 10% Pre-class quizzes & reading reports
• 10% Chapter summary
• 10% Class participation

Class Schedule in Brief

• Aug 27 Overview; Examples Assignment; Project
• Aug 29 1.E-learning; KLI Framework events
• Sept 3 2.How People Learn; KLI KC's
• Sept 5 3.Evidence-based practice; KLI Learning & Instructional Events
• Sept 10 Determining instructional goals (tasks)
• Sept 12 Guest lecture
• Sept 17 Discovering learning objectives (KCs) & Rational Cognitive Task Analysis
• Sept 19 4.Multi-media Principle
• Sept 24 Empirical Cognitive Task Analysis: Think aloud
• Sept 26 5.Contiguity Principle
• Oct 1 CTA: DFA & Model building
• Oct 3 6.Modality Principle & 7.Redundancy Principle
• Oct 8 CTA & Designing Assessments for Continual Improvement
• Oct 10 Midterm review; Flex topic
• Oct 15 8.Coherence Principle
• Oct 17 9.Personalization Principle
• Oct 22 10.Segmenting and Pretraining
• Oct 24 KLI & Selecting appropriate instructional principles
• Oct 29 11.Leveraging Examples in E-Learning
• Oct 31 12.Does Practice Make Perfect
• Nov 5 13.Learning Together Virtually
• Nov 7 14.Who’s in Control?
• Nov 12 15.E-Learning to Build Problem Solving Skill
• Nov 14 16.Simulations and Games
• Nov 19 17.Applying the Guidelines
• Nov 21 Project Presentations
• Nov 26 Project Presentations
• Nov 28 Thanksgiving, no class
• Dec 3 Project Presentations
• Dec 5 Project Presentations
• Dec 13 Project Due

Class Schedule with Readings and Assignments

NOTE: This section is "living" -- it will grow and change as the semester goes on.

E-Learning Introduction 8-27 to 9-5

• 8-27 Overview, course project, your interests
  • Class activity: Discuss your interests in e-learning
  • Assignment: Examples is due next Thursday, 9-5
    • BRING two screen shots of your first example to next class
  • Assignment: Project step 1 is due in 16 days on Thursday, 9-12
  • NOTE: See reading assignment for next time on next date.

• 8-29 E-learning intro and KLI Framework events
  • Class activity: Promises & pitfalls review of e-learning examples
    • BRING two screen shots of your first example to next class
  • Reading (from course book): 1.e-Learning: Promise & Pitfalls (28 pages)
    • Pre-class quiz: Answer questions for Chpt1 Quiz on Blackboard

• 9-3 How People Learn and KLI Knowledge Components
  • Class activity: Project idea discussion
  • Class activity: KC type in e-learning examples
  • Read Ch2.How Do People Learn from E-Courses (20 pages)
  • Read KLI Framework paper sections 1-3 (18 pages)

• 9-5 Evidence-based practice and KLI Learning & Instructional Events
  • Class activity: Principles present in e-learning examples
  • Reading: 3.Evidence-based practice (18 pages)
  • Reading: KLI sect 4-5 (12 pages)
  • Due: Examples
  • Assignment:

Instructional Goals and Cognitive Task Analysis 9-10 to 9-17

• 9-10 Determining instructional goals (tasks)
  • Class activity: Review P1 write-up reqs; Benchmark task spec
  • Reading: Clark(or Feldon) paper; Contextual Inquiry?

• 9-12 Guest lecture
  • Due: Project step P1: Domain, Context & Initial Resources
  • Assignment: Project step P2 is due on 9-26

• 9-17 Discovering learning objectives (KCs) and Rational Cognitive Task Analysis
  • Reading: Newell & Simon; Zhu & Simon

Multimedia Principles and Cognitive Task Analysis 9-19 to 10-17

• 9-19 Multi-media Principle
  • Reading: 4.Multi-media Principle (24 pages)

• 9-24 Empirical Cognitive Task Analysis: Think aloud
  • Reading: Gomol; [& suggestion from Aleven]

• 9-26 Contiguity Principle
  • Reading: 5.Contiguity Principle (24 pages)
  • Due: P2:Benchmark Tasks & Rational Cognitive Task Analysis

• 10-1 CTA: DFA & Model building
  • Reading: Picture Algebra paper

• 10-3 Modality & Redundancy Principles
  • Reading: 6.Modality Principle & 7.Redundancy Principle (36 pages)

• 10-8 CTA & Designing Assessments for Continual Improvement

• 10-10 Midterm quiz & review; Flex topic (design?) **Reading: Kirshner?
  • Due: P3: Empirical Cognitive Task Analysis & Cognitive Model of Instructional Goals

• 10-15 Coherence Principle
  • Reading: 8.Coherence Principle (28 pages)

• 10-17 Personalization Principle
  • Reading: 9.Personalization Principle (26 pages)

Learning By Doing Principles 10-22 to 11-19

• 10-22 Segmenting and Pretraining
  • Reading: 10.Segmenting and Pretraining (18 pages)

• 10-24 KLI & Selecting appropriate instructional principles
  • Reading: KLI sections 6-7

Due: P4: Assessment & Initial Instructional Design Assignment: P5 is due 11-7

• 10-29 Leveraging Examples in E-Learning
  • Reading: 11.Leveraging Examples in E-Learning (28 pages)

• 10-31 Does Practice Make Perfect
  • Reading: 12.Does Practice Make Perfect (28 pages)
  • Reading: Cognitive Tutor principles?

• 11-5 Learning Together Virtually
  • Reading: 13.Learning Together Virtually (30 pages)

• 11-7 Who’s in Control?
  • Reading: 14.Who’s in Control? 30 pages)

Due: P5: Instructional Design Prototyping & Testing Assignment: P6

• 11-12 E-Learning to Build Problem Solving Skill
  • Reading: 15.E-Learning to Build Problem Solving Skill (30 pages)

• 11-14 Simulations and Games
  • Reading: 16.Simulations and Games (32 pages)

• 11-19 Applying the Guidelines
  • Reading: 17.Applying the Guidelines (24 pages)

Project Presentations 11-21 to 12-5

• 11-21 Project Presentations
• 11-26 Project Presentations
  • Faculty course evaluation
  • Due: P6: Research Design 
  • Assignment: Final Project is due 12-13
• 11-28 Thanksgiving, no class
• 12-3 Project Presentations
• 12-5 Project Presentations

Final Project Due on 12-13

• 12-13 Project Due