Who we are Rob Wall Emerson, Dawn Anderson Western Michigan University Under contract from MeTRC (Mathematics eText Research Center) at University of.

Slides:



Advertisements
Similar presentations
Project 1 ACSM PowerPoint.
Advertisements

Dr Michelle Reid Study Adviser, University of Reading
Presented by Lucia Hasty, MA Braille Authority of North America Tactile Graphics Committee Chair March 3, © Lucia Hasty 3/2010.
The Language of Math November 3, Second Check-In  My name is ___ & I am (role).  I am feeling _______ today because ____.  The biggest challenge.
Making effective plots: 1.Don’t use default Excel plots! 2.Figure should highlight the key relationships in the data. 3.Should be clear - no extraneous.
 The EQAO assessment will take place June 11 th and 12 th.  The EQAO assessment based on the Grade 9 expectations of The Ontario Curriculum.  The EQAO.
Chapter 8 Enhancing Learning with Visuals
Copyright © 2014 Pearson Education, Inc. All rights reserved Chapter 2 Picturing Variation with Graphs.
Dobrin / Keller / Weisser : Technical Communication in the Twenty-First Century. © 2008 Pearson Education. Upper Saddle River, NJ, All Rights Reserved.
Creating Accessible Math and Science Materials Ron Stewart, Access Technology Instructor, HTCTU California Community Colleges Chair, AHEAD Instructional.
STUDYING COLLEGE TEXTBOOKS AND INTERPRETING VIAUAL AND GRAPHIC AIDS
12 FURTHER MATHEMATICS Organising and Displaying Data.
Types of Data Displays Based on the 2008 AZ State Mathematics Standard.
© 2005 Prentice Hall4-1 Stumpf and Teague Object-Oriented Systems Analysis and Design with UML.
Introduction to Spreadsheets Presented by Frank H. Osborne, Ph. D. © 2005 Bio 2900 Computer Applications in Biology.
Systems Analysis I Data Flow Diagrams
MeTRC Mathematics eText Research Center 1 Kids Reading and Writing About Mathematics: Do they? Can they? Should they? Mark Horney, Ph.D. & Patricia Almond,
Software Engineer Report What should contains the report?!
Charts and Graphs V
Introducing the PALM Initiative. The Shift from Print to Digital
Braille Formats 2011 Illustrative Materials CTEBVI Workshop 501 Presented by: Amanuensis Braille Presenter: Robert Roldan
Text Features & Parts of a Book
©M. Reber 9/19/2015 Graphics Any visual form of presenting information.
CSCI 1101 Intro to Computers 3. Common Productivity Software.
What are they and what should you know about them?
Designing Interface Components. Components Navigation components - the user uses these components to give instructions. Input – Components that are used.
Basic PowerPoint Guidelines
Rational/Theoretical Cognitive Task Analysis Ken Koedinger Key reading: Zhu, X., & Simon, H. A. (1987). Learning mathematics from examples and by doing.
© Prentice Hall, 2007 Business Communication Essentials, 3eChapter Writing and Completing Reports and Proposals.
Writing the “Results” & “Discussion” sections Awatif Alam Professor Community Medicine Medical College/ KSU.
Unit 3 Data Representation Passages Part 2
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
WorkKeys 1/30/09 Characteristics of the Assessments.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
RCM Tools Histogram Pareto Chart Cause and Effect Diagram FMEA.
Graphics: Any visual form of presenting information Teco 61 M. Reber 11_05_03.
1. 2 Word Processing Word Processing is writing words and sentences on the computer. It is easy to change or move text in a word document. People use.
Analyzing and Visualizing Data Dr. Lam TECM 4180.
Creating Accessible Content in Microsoft Office 2010 NC Basic Skills Instructor Training Academy 2012.
 A plan of attack for your games content  Or (more specifically)  A detailed description of all games mechanics, objects, characters, stats, ect… that.
Is Description Sufficient for Accessibility?. Who we are Rob Wall Emerson, Dawn Anderson Western Michigan University Under contract from MeTRC (Mathematics.
Proposal: Preliminary Results and Discussion. Dos and Don’ts DoDon’t Include initial results if you have them You can also conduct and report on informal.
Accessibility of math educational materials for visually impaired people Piotr Brzoza Krzysztof Dobosz.
Principles of Multimedia and Contiguity
Team Skill 3: Defining the System The Vision Document (16) 1.
TAKS Tutorial Test-Taking Strategies. Remember that the TAKS test is untimed! That gives you plenty of time to do this first strategy! Look at the ENTIRE.
Observing the Current System Benefits Can see how the system actually works in practice Can ask people to explain what they are doing – to gain a clear.
Basic PowerPoint Guidelines
Chapter 0: Why Study Statistics? Chapter 1: An Introduction to Statistics and Statistical Inference 1
TECHNICAL WRITING November 26, Today Effective visuals.
MATH & SCIENCE.  Pre-Algebra  Elementary algebra  Intermediate algebra  Coordinate geometry  Plane geometry  Trigonometry.
Copyright © 2009 Pearson Education, Inc. Chapter 11 Understanding Randomness.
USING ILLUSTRATIONS AND GRAPHICS Lesson 8 - #1.08.
Survey Training Pack Session 20 – Presentation of Findings.
SCIENCE TEST 35 Minutes; 40 Questions; 7 Passages 5 – 7 questions per passage 5 minutes per passage Evaluates your ability to reason scientifically 3 Question.
Basic PowerPoint Guidelines Tips for Creating Great Presentations.
Week 2 Normal Distributions, Scatter Plots, Regression and Random.
 Text formatting can be done in a variety of ways! shadowing  Bold, italics, underline, shadowing, strikethrough, color are all possible options for.
The What, Why, When, and How By Nancy Pabros, Educational Technologist Adding Alternate Text to Microsoft Documents for Accessibility.
How to use Microsoft PowerPoint
Revision of Modes of Representation or Cognitive Levels
Data Synthesis and Analysis
Unit 4 Statistical Analysis Data Representations
Preparing and Interpreting Tables, Graphs and Figures
Analyzing and Visualizing Data
Microsoft Word 2003 Illustrated Complete
Ms jorgensen Unit 1: Statistics and Graphical Representations
Module 6: Presenting Data: Graphs and Charts
Chapter 7: Producing Your Proposal
How To Make Accessible Word Documents
Presentation transcript:

Who we are Rob Wall Emerson, Dawn Anderson Western Michigan University Under contract from MeTRC (Mathematics eText Research Center) at University of Oregon Mark Horney

What we are looking at How best to describe the image components found in typical math textbooks (not the math equations) What types of images require what level of description? Are there types of images whose content cannot be adequately conveyed by any description? We are not looking technological solutions but try to present material in a way as close as possible to a common student educational experience

Identifying image categories We categorized images in representative math texts from grades 5, 8, and 11. Identified 21 exhaustive and mutually exclusive image categories Some were more common than others (e.g., line graphs and tables more common than pie charts and models) To control the study we limited use to “math heavy” categories

Category frequency First tier categories appear either on nearly every page of a text or several times on a page within certain areas of a text. Second tier images are more specific and appear occasionally, usually to serve a specific purpose. Third tier images appear infrequently. Note: 4465 pages of text were involved in the counting. The most commonly occurring image categories (from most to least) in the first tier were: 1. Side images (background picture, graphic unrelated to question, organizational banners, headers, icons, extra features notation) 2. balloon/sidebar 3. shapes/2D or 3D representation 4. question specific image (1926) 5. table (1785) 6. scatterplot/line graph (1305) 7. equation (1109)

The most commonly occurring image categories (from most to least) in the second tier were: 1. models (used to indicate similarity) (755) 2. ray/line diagram (722) 3. calculator stuff (509) 4. organizational aid ( procedural aid (266) 6. number line (252) 7. directions/illustrations of a physical task (197) The most commonly occurring image categories (from most to least) in the third tier were: 1. pattern/series (101) 2. pie chart (92) 3. screen shot (87) 4. bar graph (87) 5. flow chart (72) 6. maps (50) 7. picture in a picture (9)

Meta categories 4 “meta categories” represent context for the images introducing concepts guided example short question real world manipulative

Differences between grade Minor variations between texts for different grades Main differences were that grade 5 used more models, procedural aids, and number lines Grade 8 and 11 used more calculator stuff, line graphs, and ray/line diagrams

Playing the files Word documents were created that mirrored the physical page in layout and coloring. Each file contains images and ancillary text to provide context. Math content that was not image related was translated using MathML and MathType and the entire file spoken using JAWS.

Our basic approach Files had varying levels of description. None (“image”) Terse (“image of a graph”) NCAM standard Extended Files longer than 90 seconds were eliminated after pilot trials Students were assessed on capture of content, ease of capture of audible material, and preference of presentation. Students each performed between 9 and 20 trials

Participants 44 students, mainly in grades 8 and 11 (3 in grade 5) 5 in Illinois, 31 in Texas, 8 in Tennessee Only 16 of the 44 were caucasian Based on their reading format, 25 were braille users (used as a proxy for blind), 19 used some form of print (used as a proxy for low vision)

Their relationship with math 25 were positive about math, 11 were negative 32 felt they were good at math 18 had no issues with their texts. Of the others, most common complaints were braille errors in the text and graphs or images not made correctly or not read out 34 had no issues with assessments. Only 3 mentioned issues with inability to access graphs or images

Good and bad impressions Keeping it short was good, not enough info given Giving detailed information, giving too much information Voice changed to illustrate text changes, voice changed too much Voice was easy to understand, voice was confusing Things were described well, things were not described well

What needs more description? Pictures 16 Graphs16 Maps4 Tables4 Shapes and lines2 Everything2 Page formatting1 Angles1 Histograms1 Pie charts1

What needs less description? Nothing13 One picture7 I don’t know4 Graphs with extra info4 Words, letters3 Irrelevant stuff3 Equations, formulas2 Some diagrams1 Tables1 Maps1 A couple of pictures1 Line segments1

Would you like everything described? Yes22 No13 Maybe7

Results of first content question (I don’t know = wrong) χ 2 (3) = 20.91, p <.0001 WrongRight Control12422 Terse12519 NCAM10543 Extended10646

Results of first content question (I don’t know = wrong) χ 2 (3) = 9.12, p =.028 (with manipulative group) χ 2 (2) = 8.05, p =.018 (without manipulative group) WrongRight Intro15053 Short example18935 Guided example11237 Manipulative105

Results of first content question (I don’t know = wrong) χ 2 (10) = 31.61, p <.0001 (with manipulative group) χ 2 (9) = 28.43, p =.001 (without manipulative group) WrongRight Question specific image6712 Equation332 Shapes4112 Table3416 Line graph4522 Bar graph4914 Manipulative65 Pie chart376 Number line2316 Ray diagram5914 Map6711

General findings For many images more description is counter productive (especially tables and line graphs) It is surprising how much students do not know what they do not know Students often do not realize they are missing key information When only the word “image” is presented, they often think that what comes next is a description of the image, causing further confusion

Multi modal presentation A major trend seems to be that many image categories would benefit from a multi-modal presentation of content Have an audio version with description and for image related content, also have a braille version of the “description” and a tactile image.

Thank you Robert Wall Emerson Western Michigan University Department of Blindness and Low Vision Studies Dawn Anderson Western Michigan University Department of Blindness and Low Vision Studies