Adaptive Learning: Background, Applications and Lesson Building

Slides:



Advertisements
Similar presentations
Evaluation of the Impacts of Math Course Placement Improvement Achieved through a Summer Bridge Program John R. Reisel, Leah Rineck, Marissa Jablonski,
Advertisements

CS/CMPE 535 – Machine Learning Outline. CS Machine Learning (Wi ) - Asim LUMS2 Description A course on the fundamentals of machine.
A Blended Learning Approach to Philosophy of Science Teaching The course in 2014 Background The course Philosophy of Medicinal Chemistry and Molecular.
How to Study Mathematics Effectively?. What is Mathematics? A Language to Explain the Scientific Laws A Language for Expressing the Rational Mind VocabulariesGrammar.
WIP – Using Information Technology to Author, Administer, and Evaluate Performance-Based Assessments Mark Urban-Lurain Guy Albertelli Gerd Kortemeyer Division.
Flipped Classrooms A Case Study KSU Workshop at USF, Tampa FL, Monday August 3, 2015 Autar Kaw University of South Florida.
Khan Academy Implementation Models Making the Best Use of Khan Academy with Your Students 1.
The TEAK Project 1 TEAK/TA Teaching Workshop Session 1: Introduction and Classroom Management Dr. Elizabeth DeBartolo, Mechanical Engineering Dr. Margaret.
How to use the flipped class to teach effectively? ASEE-SE Workshop, Gainesville, FL Sunday April 12, 2015 Autar Kaw University of South Florida.
This material is based upon work supported by the National Science Foundation under Grant No , and Any opinions, findings, and.
Incorporating Cybersecurity Education into the CS curriculum Stephen Cooper, Stanford University.
This material is based upon work supported by the National Science Foundation under Grant No , and Any opinions, findings, and.
Elizabeth DeBartolo, Ph.D.Date Associate Professor, Mechanical Engineering Certificate of Completion is hereby granted to [Name Here] to certify that she.
Reading & Writing English Language Arts/Literacy Standards Shift In Reading & Writing NON-FICTION EVIDENCE ACADEMIC REAL-WORLD EXAMPLES UNDERSTANDING.
This material is based upon work supported by the National Science Foundation under Grant No , and Any opinions, findings, and.
Exploring Universal Design for Learning (UDL):
This material is based upon work supported by the National Science Foundation under Grant No , and Any opinions, findings, and.
11/17/ Introduction to Partial Differential Equations Transforming Numerical.
World Engineering Education Forum Wednesday, September 25, 2013 Autar Kaw Professor of Mechanical Engineering University of South Florida Tampa, USA.
Backwards Design STEP 1: Agree on the overarching science concept of the 5E sequence STEP 2: Design the Evaluate and decide what evidence students will.
This material is based upon work supported by the National Science Foundation under Grant No and Any opinions, findings, and conclusions.
Product Project Prototype Standards 2P, Q 9F, H This material is based upon work supported by the National Science Foundation under Grant No
2/13/ Elliptic Partial Differential Equations - Introduction Transforming.
ATLE Workshop Tuesday October 28, 2014 Autar Kaw Mechanical Engineering
UNIVERSAL DESIGN FOR LEARNING Presented by Ezra Jonah Greene Walden University 2013.
 Wind Power TEAK – Traveling Engineering Activity Kits Partial support for the TEAK Project was provided by the National Science Foundation's Course,
Search Engines: Ready, Set, Search! Jennifer Hey-Lewis Kenwood Academy, Chicago Public Schools IIT Research Mentor: Dr. Wai Gen Yee This material is based.
Funded by a grant from the National Science Foundation. Any opinions, findings, conclusions or recommendations expressed are those of the authors and do.
Flipped Classrooms for STEM Education Autar Kaw. What is a flipped classroom? Transmission in class and assimilation at home Transmission at home and.
Score Improvement Distribution When Using Sketch Recognition Software (Mechanix) as a Tutor: Assessment of a High School Classroom Pilot Texas A&M University.
The TEAK Project 1 TEAK/TA Teaching Workshop Session 3: Managing Hands-On Activities Dr. Elizabeth DeBartolo, Mechanical Engineering Dr. Margaret Bailey,
Data-Driven Instruction: A Case for Adaptive Learning
Welcome to 6th Grade Back to School Night
#AdaptiveMap || The Challenges of Adaptive Content: The Perspective of two Universities Amanda Buckley (Bay Path University)
Preliminary Data Analyses
Scaffolding Online Math HW for Effective Assessment
OUT-OF-CLASS ACTIVITY CONSTRUCTOR FOR FLIPPED CLASSROOM
Discussion and Conclusion
How the Class Will be Taught
Flipped Classrooms A Case Study
Impact Learning Ed Tips
Adaptive Lessons for Pre-Class Preparation for a Flipped Classroom
Journey of an Open Course Ware
Nanotechnology & Society
Elliptic Partial Differential Equations – Direct Method
Nanotechnology & Society
How Does the Math Academy
Title of Poster Site Visit 2017 Introduction Results
Evolution of an Open Courseware for a STEM Course
Nanotechnology & Society
Improving Student Success in An Engineering Course
UDL Guidelines, use of technology and
Adaptive Lessons for Pre-Class Preparation for a Flipped Classroom
Elliptic Partial Differential Equations – Gauss-Seidel Method
Developing a Community of Scholars and Teaching Modules for Water Resource Courses at KU, University of California, Davis, and the University of Alabama.
Functional Functions: Transfer of Math Proficiency in Physics and Chemistry Elizabeth Grotemeyer, Jennifer Delgado, Sarah Rush, Drew Vartia, Chris Fischer.
Nanotechnology & Society
Numerical Methods Newton’s Method for One -Dimensional Optimization - Example
Score Improvement Distribution When Using Sketch Recognition Software (Mechanix) as a Tutor: Assessment of a High School Classroom Pilot Texas A&M University.
Title of Poster Title of Poster Title of Poster
Title of Poster Title of Poster Title of Poster
UDL Intro Package Spring 2019
Title of Poster Title of Poster Title of Poster
Title of Poster Site Visit 2018 Introduction Results
This material is based upon work supported by the National Science Foundation under Grant #XXXXXX. Any opinions, findings, and conclusions or recommendations.
Best Practices for Flipped Learning
A Holistic Workshop on Flipped Classes
Project Title: I. Research Overview and Outcome
Serena Alderson Manager of School Partnerships Carnegie Learning, Inc
Solution to the paradox of choices: lecturing, flipped, blended…
Presentation transcript:

Adaptive Learning: Background, Applications and Lesson Building Autar Kaw AutarKaw.com Eleonora Delgado University of South Florida 2018 ASEE-SE Workshop – March 4, 2018

Acknowledgments This material is based upon work supported partially by the National Science Foundation under Grant Number #1609637, and the Research for Undergraduates Program in the College of Engineering at USF. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

BACKGROUND

Conventional, Mastery, Tutor 1-30* Mastery Learning Tutorial 1-1* *Teacher-Student Ratio Source: The 2-Sigma Problem by Bloom, B., 1984

Definition of Effect Size   Effect Size Percentage of control group who would be below the average person in experimental group 50% 0.5 69% 1.0 84% 1.5 94% 2.0 98% Source: It is the Effect Size Stupid…. By Coe, R.

Effect Size Source: The Relative Effectiveness of Human Tutoring …. By Vanlehn, K., 2011

What do you think is the actual effect size of human tutoring? 0.5 0.7 1.0 2.0

What do you believe is adaptive learning? Reflection Exercise What do you believe is adaptive learning?

What does adaptive learning involve? Uses data to give and improve pathways to learning Uses pre-set configurations Is rule-based and uses decision trees

Adaptive Learning Pre-set categories Data driven and improves DIFFERENTIATED Pre-set categories Rules-based and decision tree Data driven and improves ADAPTIVE INTELLI TUTOR Source: http://Knewton.com

Platform Players Knewton Smart Sparrow RealizeIT Pearson's McGraw-Hill Wiley

PROCESS

A Typical Adaptive Path

Reflection Exercise Think of your own course and imagine reasonable resources like video, text and questions are available to you for a single concept or topic. What path would you design for your students?

RESULTS

Adaptive Learning Results ASU Math Readiness Fall 2009-Spring 2011 (Without Adaptive Learning) Fall 2011-Spring 2012 (With Adaptive Learning) Pass Rates 64% 75% Withdrawal Rates 16% 7% Students Finishing Early n/a 45% Source: https://www.knewton.com/asu/

Adaptive Learning MetaStudy Source: Lessons Learned From Early Implementations of Adaptive

Adaptive Learning MetaStudy Source: Lessons Learned From Early Implementations of Adaptive

Our Use of Adaptive Learning

What is different? Transmission in class and assimilation at home Transmission at home and assimilation in class Source: CTL, University of Washington

What happens BEFORE class?

Assign video lectures before class.

What is done before class at home? Assign reading assignment.

What graded assignments are given before class? Automatically graded quizzes are assigned

Effect Size For Free Response Questions in USF Course Flipped Adaptive over Flipped 0.26 for Pell Grant Students 0.50 Flipped Adaptive over Blended 0.13 0.28

Analytics Summary

Analytics (Grade and Time Spent)

A LEARNING PHILOSOPHY

Universal Design Learning (UDL)

The Trinity of UDL What – Recognition network How – Strategic Network Multiple means of representation Multiple means of action and expression Multiple means of engagement How – Strategic Network Why – Affective Network Source: National Center on Universal Design for Learning

Reflection Exercise Make a list of multiple means of a) representation b) action and expression c) engagement

LET’S BUILD A LESSON

Download files http://www.eng.usf.edu/~kaw/download/workshop/ OR http://bit.ly/2FDcTuv

Contact: Autar Kaw kaw@usf.edu University of South Florida Adaptive Learning: Background, Applications and Lesson Building QUESTIONS? Contact: Autar Kaw kaw@usf.edu University of South Florida