in Professional Presentations

Making data mean more through storytelling | Ben Wellington | TEDxBroadway – W/Evaluation Form

by Alexandra Jones January 23, 2017, 1:46 pm 27 Views

Making data mean more through storytelling | Ben Wellington | TEDxBroadway

NCA Eval

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NCA Holistic Assessment

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Competency #1: Topic*

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Chooses & Narrows Topic Appropriately For Situation?

Competency #2: Thesis*

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Communicates Thesis/Specific Purpose Appropriately to Audience?
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Competency #3: Support*

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Provides Supporting Material Appropriate to Audience?
Provides Supporting Material Appropriate to Situation?
Cites Sources Accurately?

Competency #4: Organization*

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	Unsatisfactory	Satisfactory	Excellent
Uses Organizational Pattern Appropriate for Topic?
Uses Organizational Pattern Appropriate for Audience?
Uses Organizational Pattern Appropriate for Occasion?
Uses Organizational Pattern Appropriate for Purpose?

Competency #5: Language*

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Uses Language Appropriate to Audience?
Uses Language Appropriate to Situation?

Competency #6: Vocal Dynamism*

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Uses Pitch/Inflection to Heighten & Maintain Awareness in Audience?
Uses Volume to Heighten & Maintain Awareness in Audience?
Uses Speech Rate to Heighten & Maintain Awareness in Audience?
Uses Vocal Variety Appropriate to Audience & Occasion?

Competency #7: Pronunciation, Grammar, Articulation*

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	Unsatisfactory	Satisfactory	Excellent
Uses Pronunciation, Grammar &/or Articulation Appropriate to Audience?
Uses Pronunciation, Grammar &/or Articulation Appropriate to Situation?

Competency #8: Physical Delivery*

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Uses Physical Behaviors That Support The Verbal Message?

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Analysis Essay

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Pers Eval

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PERS Speech Assessment

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Content*

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Complex Material Presented as Clear?
Used Appropriate Strategies to Explain? (ie, metaphors, similies)
Avoided Fallacies?
Used Well-Reasoned Arguments?
Appropriately Created A Sense That Problem Exists?
Identified & Clearly Explained Cause(s) of Problem?
Provided Clear Solutions (Steps) Applicable for This Audience?

Language*

	Yes	Somewhat	No
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Persuasive in Nature?
Used Oral Language Appropriate to Audience?
Clearly Explained Jargon? (ie, definitions)
Used Emotional Appeal?

Supporting Material*

	Yes	Somewhat	No
	Yes	Somewhat	No
Used Accurate, Relevant & Timely Supporting Material?
Used Sufficient Quantity of Sources?
Orally Cited Sources Accurately? (date & source)

Organization*

Introduction

	Yes	Somewhat	No
	Yes	Somewhat	No
Captured Attention Effectively?
Stated Topic Clearly?
Related Topic to This Audience?
Provided Credibility? (if applicable)
Previewed Main Points?

Organization*

Body

	Yes	Somewhat	No
	Yes	Somewhat	No
Organized Main Points Clearly & Logically?
Included Transitions Between Main Points?
Adequately Used Internal Previews with Main Points?
Adequately Used Signposts in Main Points?

Organization*

Conclusion

	Yes	Somewhat	No
	Yes	Somewhat	No
Summarized Main Points?
Ended with Effective Memorable Final Thought?
Tied Closure into Attention Getter?

Delivery*

Vocal Delivery

	Yes	Somewhat	No
	Yes	Somewhat	No
Rate Appropriate?
Volume Appropriate?
Varied Pitch and Inflection?
Clear Articulation & Pronunciation?
Appropriate Use of Pauses/Lack of Fillers?

Delivery*

Physical Delivery

	Yes	Somewhat	No
	Yes	Somewhat	No
Used Effective & Inclusive Eye Contact?
Posture Comfortable?
Varied Facial Expressions?
Used Natural Gestures (not distracting)?
Speech Was Extemporaneous?

Visual Aids

	Yes	Somewhat	No
	Yes	Somewhat	No
Used Visual Aids Appropriately?
Used Relevant, Professional Visual Aids?
Clearly Discussed Content Provided in Visual Aids?
Fluidity of Presentation Maintained During Visual Aids Usage?

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Info Eval

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INF Speech Assessment

First Name*

Last Name*

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Email to Speaker or Teacher!

2nd Email

(will be sent with evaluation)

Copy/Paste Speech URL Here:

Instructor/Class/School Name

Speech Assessment Overview:

(Or Notes:)

Content*

	Yes	Somewhat	No
	Yes	Somewhat	No
Complex Material Presented as Clear?
Used Appropriate Strategies to Explain? (ie, metaphors, similies)

Language*

	Yes	Somewhat	No
	Yes	Somewhat	No
Unbiased/Informative?
Used Oral Language Appropriate to Audience?
Clearly Explained Jargon? (ie, definitions)

Supporting Material*

	Yes	Somewhat	No
	Yes	Somewhat	No
Used Accurate, Relevant & Timely Supporting Material?
Used Sufficient Quantity of Sources?
Orally Cited Sources Accurately? (date & source)

Organization

Introduction

	Yes	Somewhat	No
	Yes	Somewhat	No
Captured Attention Effectively?
Stated Topic Clearly?
Related Topic to This Audience?
Provided Credibility? (if applicable)
Previewed Main Points?

Organization

Body

	Yes	Somewhat	No
	Yes	Somewhat	No
Organized Main Points Clearly & Logically?
Included Transitions Between Main Points?
Adequately Used Internal Previews with Main Points?
Adequately Used Signposts in Main Points?

Organization

Conclusion

	Yes	Somewhat	No
	Yes	Somewhat	No
Summarized Main Points?
Ended with Effective Memorable Final Thought?
Tied Closure into Attention Getter?

Delivery*

Vocal Delivery

	Yes	Somewhat	No
	Yes	Somewhat	No
Rate Appropriate?
Volume Appropriate?
Varied Pitch and Inflection?
Clear Articulation & Pronunciation?
Appropriate Use of Pauses/Lack of Fillers?

Delivery

Physical Delivery

	Yes	Somewhat	No
	Yes	Somewhat	No
Used Effective & Inclusive Eye Contact?
Posture Comfortable?
Varied Facial Expressions?
Used Natural Gestures (not distracting)?
Speech Was Extemporaneous?

Visual Aids*

	Yes	Somewhat	No
	Yes	Somewhat	No
Used Visual Aids Appropriately?
Used Relevant, Professional Visual Aids?
Clearly Discussed Content Provided in Visual Aids?
Fluidity of Presentation Maintained During Visual Aids Usage?

Additional Assessment Notes:

Your assessment has been submitted!

Thank you for your assessment!

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Ben Wellington uses data to tell stories. In fact, he draws on some key lessons from fields well outside computer science and data analysis to make his observations about New York City fascinating. Never has a fire hydrant been so interesting as in this talk.

Ben Wellington is a computer scientist and data analyst whose blog, I Quant NY, uses New York City open data to tell stories about everything from parking ticket geography to finding the sweet spot in MetroCard pricing. His articles have gone viral and, in some cases, led to policy changes. Wellington teaches a course on NYC open data at the Pratt Institute and is a contributor to Forbes and other publications.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

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Previous article Losing weight the ‘cool way’ | Patrick Rensen | TEDxDelft – W/Evaluation Form
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Written by Alexandra Jones

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