Skip to main content

Inspiration Maps for iPad: Mind Mapping on the iPad


Inspiration Maps is an iPad app that allows you to visually organize information. Inspiration Maps makes it easy to create clear mind maps that can help organize information for an essay or walk a student through a multi-step science experiment. The app comes with number of great looking templates for all different subject areas. If none of the templates meet your needs you can create your own.

To start you can tap on any box or bubble and add text. You can also change the color and shape of the text boxes. To move an object you can simply drag it around the screen. Pretty much all aspects of your mind map are customization from arrow, to text box shape, to text style. Another handy feature is the ability to add images to your documents. These pictures can really add some life to your documents.

In addition to diagram mode there is outline mode which is a text document. The document can include different bullets and numbered lists to help with the writing process. Everything added to the outline mode will be added to appear in the diagram mode and vice versa.

Once you have finish you can export the diagram as a PDF or PNG for use in other apps. You can also send it via email or Dropboxs a Inspiration Maps document. Unfortunately, Inspiration Maps does not include built in text-to-speech but Speech Selection can be used if enabled via the iPad's settings. To learn how to turn on Speech Selection click here.

Click here to download Inspiration Maps for $9.99 from the App Store. The app was provided complimentary to reviewer. Click read more below to see more images of Inspiration Maps in action.








Comments

Popular posts from this blog

Emergent Cloud Computing Business Models

The last year I wrote quite a few posts on the business models around SaaS and cloud computing including SaaS 2.0 , disruptive early stage cloud computing start-ups , and branding on the cloud . This year people have started asking me – well, we have seen PaaS, IaaS, and SaaS but what do you think are some of the emergent cloud computing business models that are likely to go mainstream in coming years. I spent some time thinking about it and here they are: Computing arbitrage: I have seen quite a few impressive business models around broadband bandwidth arbitrage where companies such as broadband.com buys bandwidth at Costco-style wholesale rate and resells it to the companies to meet their specific needs. PeekFon solved the problem of expensive roaming for the consumers in Eurpoe by buying data bandwidth in bulk and slice-it-and-dice-it to sell it to the customers. They could negotiate with the operators to buy data bandwidth in bulk because they made a conscious decision not to st...

Reveiw: Celluon Epic Laser Keyboard

The Celluon Epic is a Bluetooth laser keyboard. The compact device projects a QWERTY keyboard onto most flat surfaces. (Glass tabletops being the exception) You can connect the Epic to vertically any device that supports Bluetooth keyboards including devices running iOS , Android , Windows Phone, and Blackberry 10. On the back of the device there is a charging port and pairing button. Once you have the Epic paired with your device it acts the same as any other keyboard. For any keyboard the most important consideration is the typing experience that it provides. The virtual keyboard brightness is adjustable and is easy to see in most lighting conditions. Unfortunately the brightness does not automatically adjust based on ambient light. With each keystroke a beeping sound is played which can be turned down. The typing experience on the Epic is mediocre at best. Inadvertently activating the wrong key can make typing frustrating and tiring. Even if you are a touch typist you'll still ...

A Data Scientist's View On Skills, Tools, And Attitude

I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. I would encourage you to read it; it does have some great points. I found the following snippets interesting: Recruiting data scientists: When posting job opportunities, we are cognizant that people from different academic fields tend to use different language, and we don’t want to miss out on a great candidate because he or she comes from a non-statistics background and doesn’t search for the right keyword. On my team alone, we have had successful “statisticians” with degrees in statistics, electrical engineering, econometrics, mathematics, computer science, and even physics. All are passionate about data and about tackling challenging inference problems. I share the same view. The best scientists I have met are not statisticians by academic training. They are domain experts and design thinkers and they all share one common trait: they love data!...