Adapting to Adaptivity Transformations in Teaching and Learning

Adapting to Adaptivity Transformations in Teaching and Learning Southeast Digital Learning Forum UNC Charlotte, February 2019 Dale P. Johnson Director, Adaptive Learning Initiatives 1

The future is already here – it's just not evenly distributed. • William Gibson 1993 2

Your Guide on this adaptive adventure • Dale 2013 P. Johnson 2019 Biology. Learning Initiatives, Arizona State University • Director, Adaptive Chemistry College Algebra College Math Economics General Science History Physics Psychology 3

Why do we need adaptive courseware? College Mathematics course Who needs help? INSIGHT What do they need help with? What’s the best way to help? 4

Why do we need adaptive courseware? ATTENTION 5

Why do we need adaptive courseware? Mass Personalization Mass. Production Mass Personalization Mass Production TRANSFORMATION 7

What does that mean for our future? Mass Production Mass Personalization Right Student All Students Same Time Right Lesson Right Time Same Lesson 8

How can we address those challenges? Active Learning in class Adaptive Learning before class Bloom’s Taxonomy 9

How does this adaptive+active approach work in practice? 1. ACQUIRE INFO Read textbook, watch video, do simulation, etc. Prepare Prove 2. ASSESS Do practice problems, take quiz before class ADAPTIVE SYSTEM ACTIVE CLASS Prove 4. ASSIMILATE Write essay, solve problems, take quiz, etc. Participate 3. APPLY Solve problems and collaborate with classmates. 11

How is d an gy Bi ol o ut io Ev ol ics en et G n an th En Ph er ot os gy yn gy lo io ys Ph dy Bo d es s te m Sy s rs ity ve od i Bi So DN A d ho et M ic nt if ie Sc cie ty can faculty use this approach? Prepar e Prove Prepar e Prove Prepar e Prove Partici pate Prove Partici pate Prove Partici pate Lab Lab Exam 12

What results have we had at ASU? Introduction to Biology (Fall 2015 implemented Cog. Books) Same instructor, curriculum and assessment 13

What results have we had at ASU? Microeconomics (Fall 2017 implemented Cengage Learning Objects) Same instructor, curriculum and assessment Microeconomics Fall 2016 and 2017 Midterm Exam #1 Grade Distribution 100% 90% 80% % Students 70% 60% 47% 50% Fall 16 40% 30% 20% Fall 17 28% 15% 20% 23% 19% 21% 17% 8% 10% 3% 0% A B C D E Grade 14

What results have we had at ASU? College Algebra (Fall 2016 implemented Mc. Graw Hill ALEKS) Same instructors, curriculum and assessments. 15

What about results for different demographic groups? College Algebra AY 2016 -17 increases in success rates among all groups 16

How are adaptive systems different? Static Dynamic LMS ADAPTIVE - Lesson Plan Fixed Variable - Presentation Group Individual - Content Common Personalized 17

How do the systems help students? Respect their prior knowledge to their learning needs 3 Rs Respond Reduce gaps in their understanding Personalize 18

How do the systems help faculty? Monitor which students need assistance 3 Ms Measure curriculum performance Maximize course outcomes Tracking 19

What is adapting to the student? Lesson sequence Ø Content selection Ø What is guiding the adaptation? Algorithm (analytics) – recommendations Ø Assessment – rapid remediation Ø Association – lesson relationships Ø Agency – student chooses Ø 20

How are the Lessons sequenced? Ø Lesson Chart (or Knowledge Map, Skill Graph, etc. ) Algebra Basic Math Calculus Course Configuration L-2 Lesson 1 L-5 L-3 L-7 L-4 L-x L-6 21

How is Content adapting to the student? Content (or Resource, Material, Text, Video, Exercise, Problem, etc. ) Learning Loop Lesson #1 Lesson X Algorithm Assessment Association Agency Content Algorithm Assessment Association Agency 22

How do students experience Lesson adaptivity? Lesson Library Lesson Instructional Materials Lesson Practice Instructional Problems Materials Lesson Assessment Practice Instruments Objective Problems Assessment Instruments Content Algorithm Assessment Association Agency Student Lesson Objective Assessments Content 23

What does adaptivity look like to a student? Vendors use a mix of the different techniques: Ø Algorithm Agency Ø Assessment Ø Association Algorithm Agency Ø Association How well did you understand The Nature of Energy? I didn’t understand I completely understood We recommend the following content: These may also help: Assessment 24

How are these techniques implemented? Personalized Lesson Sequence (Algorithm, Association, Agency) Personalized Lesson Sequence Content Customization Lesson 1 L-2 Rapid Remediation L-3 L-5 L-4 L-7 L-x Personalized Review L-6 25

How are these techniques implemented? Rapid Remediation (Assessment) Lesson 1 L-2 L-5 L-3 L-7 L-4 L-x L-6 26

How are these techniques implemented? Content Customization (Algorithm, Assessment, Agency) Lesson #5 L-2 Lesson 1 Content Library Content Video A L-3 Content Video B Algorithm Assessment Agency 27

How are these techniques implemented? Personalized Review (Algorithm, Assessment) Adaptive Test Prep L Lesson 1 L-1 Lesson 1 2 L 3 L-2 L 5 L-5 L L-4 7 L L-34 L-3 L 6 Review materials in: L x Lesson L-7 3 (quiz score 69%) L-x L-6 Lesson 7 (quiz score 72%) L-7 L-x Lesson 4 (quiz score 58%) 28

How can we make this dream a reality? Faculty Graphic Designers Instructional Designers Video Producers Technologists Librarians Vendor Personnel Others? Leaders Others? Ed tech is a team sport, so plan accordingly. 29

What does the future hold for adaptive systems? WE ARE HERE! 30

The best way to predict the future is to invent it. • Alan Kay 1982 31

Thank You for paying attention! • Dale Johnson • Dale. Johnson@asu. edu • 480 -884 -1927 32