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Multi-national evaluation team led by ELRC met in Nairobi, Kenya to analyze Somali education data and formulate recommendations for education programming and education policy.

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Laura a Warner onto AEA 2022

Impact-ful Redesign: Using R Markdown for Evaluative Reporting

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Kyle Steven Habig onto AEA 2022

(Re) shaping Evaluation Reports: Building a Report Template in R Markdown

Project report development can be a resource-consuming endeavor. During this demonstration, participants will learn how to create an R Markdown file in R that integrates both standard reporting text and R code that can be used to create Word, pdf, or HTML file reports at the click of the button.  Attendees will learn how to add visualizations, graphics, statistical analysis, and tables to these reports.  Standard R coding procedures and strategies that we have developed will be shared along with access to the code for everything shared during the demonstration.  Procedures on how to maintain participant anonymity as well as ways to positively highlight subgroup differences will also be shared. Using R Markdown, a free open source program is a great tool to have due to end users’ ability to share code with anyone around the world.  This eliminates the need to pay for expensive software and training.

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Ann Bessenbacher onto AEA 2022

(Re) shaping Evaluation Reports: An Evaluation Report Templating Process

For evaluation centers, project report development can be a resource-consuming endeavor. So, developing a report template is useful for an advanced start on the reporting process, and to create a standardized approach and look.  This collaborative process helps centers prepare a report structure early on in projects using predesigned templates and align data collection and analysis with the report content before data collection begins. This approach streamlines report development by enabling teams to design reports together and then hand them off to a colleague to complete the report independently. These templates can be created using R and R Markdown code (but the process universally applies to any software as well).  Report templates also give centers the information needed to develop dashboards, Adhoc reports, and needs; as well as a means for data team members to create a repository for commonly used scales, data sources, analysis methods, and metadata. 

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Ann Bessenbacher onto AEA 2022

Using Outcome Mapping Tools to Structure Reflection and Learning Opportunities in a Large, Multi-National Development Project

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Loran Carleton Parker onto AEA 2022

AEA 2022 ELRC Presentation Schedule

Catch up with the ELRC Team from Purdue at AEA 2022 for one or more of their presentations:

Poster: Educational Equity in Somalia — (Re) shaping Evaluation to Inform Policy (Christiana Akande)

Presentation and Lead Author 

Date 

Location 

Ignite Session: (Re)shaping Evaluation Reports: An Evaluation Report Templating Process (Ann Bessenbacher)

11/9/22 5:30-6:30pm 

Celestin F 

Ignite Session: Readiness, Willingness & Ability Assessment: Creating Opportunities to Foster Multi-Stakeholder Institutional Change (Lindley McDavid)

11/9/22 5:30-6:30pm 

Celestin F 

Poster: Educational Equity in Somalia — (Re) shaping Evaluation to Inform Policy (Christiana Akande)

11/9/22 6:30-8:30pm 

Elite Hall A - 196 

Poster: Using Outcome Mapping Tools to Structure Reflection and Learning Opportunities in a Large, Multi-National Development Project (Loran Parker)

11/9/22 6:30-8:30pm 

Elite Hall A - 131 

Poster: IMPACT-ful Evaluation: Report Templating Using R Markdown (Alex France)

11/9/22 6:30-8:30pm 

Elite Hall A - 75 

Poster: (Re) shaping Evaluation Reports: Building a Report Template in R Markdown (Ann Bessenbacher)

11/9/22 6:30-8:30pm 

Elite Hall A - 70 

Panel: Using evaluations for deeper understanding of marginalization dynamics: the case of Somalia (Wilella Burgess)

11/11/22 10:30am-12pm 

Celestin G 

Birds of a Feather: (Re)shaping Evaluation Across Borders (Christiana Akande)

11/11/22 

 

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Ann Bessenbacher onto AEA 2022

AI, or artificial intelligence, has now become a trending topic in multiple niches and multiple fields of science and development. It has also become one of the best development tech tools across the globe. As it has begun trending so often, there is a huge rise in demand for the same. Job seekers, developers, architects, and all other fields of technical development have now begun to adapt to artificial intelligence for their companies. https://www.sprintzeal.com/blog/future-of-artificial-intelligence

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vaisak rma onto Future Of Artificial Intelligence

How to get the highest score in Cupcake 2048?

Cupcake 2048 is a modified version of the viral popular 2048 game. While 2048 utilizes integers as the grid value, Cupcakes 2048 uses lovely pictures of cupcakes. If you like puzzle games that allow you to test/improve your brain and creative skills, this game is for you.

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Kamille Kunde onto Favorites

Menti Meter

Online question system that's interactive.

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Ann Bessenbacher onto Combo Test Collection

Menti Meter

Online question system that's interactive.

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Ann Bessenbacher onto Cool Tools

Data Visualization Checklist from Stephanie Evergreen and Ann K. Emery

This checklist is meant to be used as a guide for the development of high impact data visualizations. Rate each aspect of the data visualization by circling the most appropriate number, where 2 points means the guideline was fully met, 1 means it was partially met, and 0 means it was not met at all. n/a should not be used frequently, but reserved for when the guideline truly does not apply. For example, a pie chart has no axes lines or tick marks to rate. If the guidelines has been broken intentionally to make a point, rate it n/a and deduct those points from the total possible. Refer to the Data Visualization Anatomy Chart on the last page for guidance on vocabulary and the Resources at the end for more details.   by Stephanie Evergreen & Ann K. Emery May 2016

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Ann Bessenbacher onto Combo Test Collection

Evaluation Report Layout by Stephanie Evergreen

This checklist is meant to be used as a diagnostic guide to identify elements of evaluation reports that could be enhanced using graphic design best practices and/or the assistance of a graphic design expert. Suggestions are best suited for those using standard Microsoft Word software.

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Ann Bessenbacher onto Combo Test Collection

likert bar chart

R Visualizations

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Ann Bessenbacher onto Combo Test Collection

browse around this site

A few organizations might mistake SAP® CRM for SAP® C4C. However, what precisely is the distinction? 

C4C represents Cloud for client. This is a cloud answer for help organizations to oversee client support, deals and advertising exercises productively. 

SAP® CRM is HTML-based and includes generally the ABAP programming language. Then again, C4C is a cutting edge item that is HTML5-fueled. This is the place where the distinctions come in. C4C offers organizations a tastefully satisfying and natural interface, though SAP® CRM gives a less ergonomic and more straightforward work area look and feel. Subsequently, numerous organizations select SAP® CRM, in light of the fact that it is simpler to utilize, oversee and keep up with.

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Leo Norman Hall onto Hire SAP® CRM Developer

Recyclable customized bags

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swiss pack onto Recyclable bags

LASER PULSE Certificate course required for RFA application on Research Translation.

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Mohammad Masoud Moradi onto Agriculture and Food Security

Under and Over Representation of Countries

Comparison of the number of observed vs expected responses in the DVS 2020 Census per country based on population.

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Kyle Steven Habig onto DVS Census 2020 Visualizations

Comparison of percentages of respondents who have indicated a given job frustration grouped into years of different experience.

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Kyle Steven Habig onto DVS Census 2020 Visualizations

Usage of and Relationships among Data Visualization Tools

Chart and map of the usage and relationship of data visualization tools in different regions.

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Kyle Steven Habig onto DVS Census 2020 Visualizations

Purdue Libraries Open Access Fund

Information on Purdue Libraries open access publication fund.

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Ann Bessenbacher onto Open Access Journal Information

likert bar chart

Likert is an R package designed to help analyzing and visualizing Likert type items. It has been developped by Jason Bryer and Kim Speerschneider.

This barplot comes from the demo page and has been sent by Carlos Ortega.

It allows to analyse the reading attitudes from a panel of people. Each line represents a question. The barplot explains the feeling of people concerning this question.

 

# library
library(likert) 
 
# Use a provided dataset
data(pisaitems) 
items28 <- pisaitems[, substr(names(pisaitems), 1, 5) == "ST24Q"] 
 
# Build plot
p <- likert(items28) 
plot(p)

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Ann Bessenbacher onto R Visualizations

Graphs of percentage of respondents split into multiple groups

Graphs of how groups of different experience levels differ in software use, job frustrations, and more.

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Kyle Steven Habig onto DVS Census 2020 Visualizations

Learning Data Vis Circle Graphic

Graphic of circles to visualize ways people learn data visualizations.

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Ann Bessenbacher onto DVS Census 2020 Visualizations