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eLearning courses require a learning management system to keep track of who's taken what part of a course and who's passed or failed the assessments. What if you want to offer eLearning, however, but don't have an LMS? Enter Adobe Captivate 5 and its new integration with acrobat.com.

With Captivate 5, you can connect your assessment results to any SCORM or AICC compliant LMS and also to the Adobe Connect Enterprise LMS, now referred to as Adobe Acrobat Connect Pro in the prefs (which is interesting, since the product is now called simply Adobe Connect, but who's being picky...). New in Captivate 5 is the ability to report results to an acrobat.com account or to your own internal server. Of course, your own server would need a means of capturing the results, so you'd have to write a PHP, Cold Fusion or some other script to capture and record the results. We'll take a look at acrobat.com reporting in this post.

Take the quiz here to help me test the limits of the system. It's only four questions, so it won't take long.

Reporting to acrobat.com is easy. Open Preferences, then choose Reporting under the Quiz area. Enable reporting for this project, and then choose Acrobat.com. Click Configure... and enter your Acrobat.com credentials and the Company, Department and Course that define this project. Courses might have several parts, so you can aggregate several different assessments and projects into one course for reporting.

Once you click Save, Captivate will talk to acrobat.com and build the database to store the incoming quiz results.

acrobat_com_reporting.png

The results are easy to get out with the Adobe Captivate Quiz Results Analyzer, an AIR app that comes with Captivate but which is also available for free at adobe.com. Results can be viewed directly in the Quiz Analyzer or downloaded as CSV or as raw XML. CSV can then be opened in Excel or another database, while the XML download contains a file for each response. These can be parsed individually or as a whole.

The Quiz Analyzer asks you to choose a server then enter your credentials for that server. The Quiz Analyzer can look into Acrobat.com and other servers that you configure in the preferences panel under the Options button. Once you enter your Acrobat.com credentials, it allows you to select projects by company, department and course. Once you have set these three selectors, click Generate Report, and the lessons will then appear in the detail panel below.
Adobe Captivate Quiz Analyzer

Double click the project to see the overall results per learner. Double click the learner to see the results per question. The CSV reports reflect the currently visible data, so you will need to export to CSV several times to get the full data for each learner. Consider using the SQLite DB file that coordinates the XML export, or importing the XML into your favorite database application or spreadsheet.

When I do my monthly talks about Adobe Connect for eLearning and Rapid Training (second Tuesdays of each month usually; check for actual schedule), I often get asked how to get the data after the fact. Now, you can use acrobat.com to get the data. Of course, a robust LMS will make it easier to manage large numbers of courses and learners, but if you're just getting started, this is a great way to get into the eLearning game.
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I freed up some hard drive space and decided to try virtualizing MacOSX Leopard Server on my MacBook. So far, the installation is proceeding smoothly. I want to understand the differences between Tiger and Leopard server, and also to look at Snow Leopard Server (I have a 30 day trial key from Apple for testing). Virtualization looks to be a very effective way of trying out different configuration options without risk.

Installation is easy; simply create a new virtual machine and insert the MacOSX Server install disk. Parallels 5 detects the OS, configures the VM appropriately, and boots into the Server Installer. After installing and configuring the Server OS, I installed the Parallels tools and ran Software Update a couple of times to bring the Server OS up to 10.5.8.

The only thing that's disconcerting is that Parallels believed that Parallels Tools hadn't been installed on the Guest OS. I ran the Parallels Tools installer one more time after all of the OS updates had been applied, and it seems to have "stuck."

Thanks again, Parallels, for making it easier to do more with less.
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I went to Cloud Camp Boston recently and led a session on Collaboration, after I sat in on a session about security. Both of these are closely related, as any collaborative effort must also have an assurance that the participants in the collaboration are the only ones able to access the files or data that are part of the project. In a cloud situation, the files and data are often distributed over many different servers within the cloud. Concern was raised about shared resource situations, where multiple customers share resources on a single server in the cloud. The question: How do we prevent a malicious user from modifying or deleting content OUTSIDE of his realm? That is to say, a sideways attack. 

We all agreed that normal security best practices combined with a well-structured database with proper protections in place would be acceptable in most situations, since it is going to result in same or better protections that what we enjoy in client-server situations today. We can add pre-and post-transaction encryption to the mix to protect the data in transit, which is also pretty much standard these days with SSL as a minimum level. We could add to that hardware level encryption with dedicated appliances at each end of the line that encode, split, reassemble and decode the traffic, transparently to the user, but the cloud once again becomes the issue. 

In a client-server situation, there is one end-point (your data center) and multiple inputs (your clients). In a cloud situation, we add multiple end-points (the cloud). So long as the hardware encryption technology is present on all of the systems in the cloud (t which your project is assigned, of course), then there should be no problem.

On to the collaboration question. Collaboration has two meanings in the cloud; traditional person-to-person collaboration on projects,and also collaboration between apps/services in the cloud. Take Facebook as an example. Facebook opens its API to allow developers access your private data in order to enhance your Facebook experience. Facebook trades data with other applications by means of pre-arranged and well known data structures. Each application uses these data to produce is own content that gets displayed by Facebook. At the same time, the results are often shared with the user and the user's friends. Here, we have both schemes in place.

Our comfort level with our data must be driven by our trust that the applications in the cloud have been well designed and that vulnerabilities, when exposed, are addressed immediately. Unfortunately, since many cloud applications tend toward aggregation of services rather than having their own services, that trust must extend beyond to include secondary and tertiary applications, over which you have no control and with which you have no service agreement or contract. You may use an application with an email and calendaring function, for instance, but that functionality may be repackaged gmail and google calendars.

The watchwords, therefore, are "Constant Vigilance." Much like Mad-Eye Moody, we need to be aware of all of the players in our cloud applications, whether obvious to us or not. Talking to your service provider and setting clear expectations with respect to data interchange and secure transactions is also important, as your traditional agreements may not cover secondary and tertiary applications. Be sure to do your due diligence on those secondary and tertiary players as well. Despite Facebook's best efforts, an app may not have their same standards of data and privacy protection.
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