Implementing Adaptive, Data-Driven Course Design to

Improve Student LearningNERCOMP 2017

Agenda

1. Introductions name, institution, role, stage i.e. exploring, looking to pilot, undergoing an implementation, using…

2. What is adaptive/data driven courseware?

3. Steps to implementation?

4. How might adaptive courseware meet a teaching and learning need?

5. What does it take to design adaptive courseware?

6. Q/A

What is adaptive learning?

LMS ADAPTIVE

Learning Unit Fixed Variable

Content Common Personalized

ProgressionClass as a

wholeIndividualized

Getting ReadyInstitutional Change Readiness

Steps

Building awareness & a lexicon

Comparing products

Soften the ground

ID FacultyIT Academic

Admin

Circle the Wagons

Algorithm-based system

White label

Courseware library

Direct and reliable integration LTI/SSO/API with LMS

IMS analytics standards (pull data into other systems)

Cloud-based

Up time

Accessibility standards conformance

Licensing model – institutional versus student pass-through

Support model – contact path, response time, user documentation

Engine assesses frequently

Learning record store (LRS) stop and start at any time

Ability to import & author from any content e.g. OER and commercial

Existing mapped competencies

Ease of authoring and making modifications

Content not hard wired, customization

Assessment questions provided on the higher end of Bloom’s taxonomy

Evidence of efficacy

Uses metacognitive engagement such as hints and prompts

Dashboards mapped to competencies

Ease of alerts

Proxy of learner time on task

Types of adaptivity – pathway, content type, assessmentRe

qu

irem

en

ts?

Soften the Ground

Pick tool

Demo

Solicit participation

Secure vendor promises

Get It Out There

Demo Sandbox

Launching a PilotSupporting the Change

Starting a Pilot

Eye to scale

ID cadence

Info sharing

Create, configure or a combination?

Create Configure

Time consuming

Flexible

Quick

Locked in

Share Out

Demo Share Data

1 2 3 4 5

1

3

5

How might adaptive courseware meet a teaching and learning need?

Courseware is often regarded as technology that belongs in an online or large class setting

Adaptive courseware can also provide new opportunities in a small traditional classroom

Acrobatiq’s courseware employs empirically supported learning strategies:

• Small & frequent “Spaced” assignments

• Repeated exposure to the same material

• Frequent & rapid feedback on relative performance

Learning Analytics

Automated Gradebooks & Dashboard Reports

Post Assessment Review

Frequent Assessment = Early Intervention

How might adaptive courseware meet a teaching and learning need?

Adaptive courseware is a powerful tool which can be used effectively in a breadth of educational settings

Students like the flexibility of courseware and benefit from an effective integration of online content and classroom lectures

Learning to Learn

Student “Buy In” is Critical

Mapping Skills/Competencies

Personalization