Sakai is an open source learning
management system provided by the Apero Foundation. The LMS provides what it
calls Core and Expanded Features. The Core Features encompass an integrated
tool set that is tested by the Sakai community members and is then included
with each new release. The tool set can be configured by: instructors,
students, research investigators and project leaders. The other set of tools, known as “Contrib
Tools” are specific to Sakai tools and innovations that are developed…
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TensorFlow
Score7.6 out of 10
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TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
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Pricing
Sakai
TensorFlow
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Sakai
TensorFlow
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Must contact vendor for pricing information.
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More Pricing Information
Features
Sakai
TensorFlow
Learning Management
Comparison of Learning Management features of Sakai and TensorFlow
I've used Sakai to supplement my Public Speaking class. Public Speaking is very much a F2F type course, so I didn't use Sakai much for course content delivery. However, I did use it to post my syllabus, post my lecture slides, communicate any class announcements, and to conduct a final exam for the class. Building the final exam was very simple and I was easily able to swap out questions to vary it from term to term. Before I was a staff member and lecturer, I used Sakai as a student. My instructor used Sakai to varying degrees. I really appreciated it being the one-stop-receptacle for all-things class related. If I somehow lost an assignment instruction sheet, I could rely on it being posted there. For multimedia work it was lacking, at that time, but I know Sakai has been updated over time and I hope that part of it has improved. If I was ever frustrated by Sakai, it was because faculty used it in a piecemeal way. It's fine not to want to use the gradebook, but don't enter some grades and not others. It's wonderful to upload class documents to it; but don't do some and not others. Whatever way you're going to use Sakai, commit to it and use it well. Your students will thank you.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sakai is flexible, providing a way for our customers (instructors) to customize their courses while staying in line with consistency and continuity of course design. This has allowed our courses to be far less cookie-cutter and stale. This is mostly accomplished through Sakai's LTI functionality and it's Lessons tool. This is particularly notable because not every course is the same, nor should it be. Our faculty and course developers can draw from OER resources, course text publisher assessment quiz banks and pull in content from sources from our library databases and services like YouTube.
Sakai is customizable, allowing us to pair it with our student information system to automatically create and track with student registration data - including adding new students and removing students who have elected to drop a course. The customization features also include being able to create course templates for individual schools or courses using specific tools or sequences of tools as well as a way to personalize content for students when they engage with each lesson.
Sakai is stable in the market. We have been using Sakai for almost 10 years and continue to see it improve; responding to changing trends in browser technologies, mobile platforms and accessibility requirements. Multiple programs offered over the years have been recognized by outside organizations like BestColleges.com for our programs and given high marks by students taking the courses offered in Sakai.
Sakai allows our faculty to inform it's continued evolution. We work closely with the developers, having a front seat to how things can work and function for our faculty. There have been multiple occasions where faculty ask, "Can Sakai do this?" and the answer is never "No."
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
Sakai is a good general learning management system - it is not leading edge but rather a stable system with standard learning management system features. It can be fairly easily customized and is fairly easy to learn from both student learning and faculty administrative vantage points. New paradigms for online learning though are emergent so the current field should also be investigated with competitors.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
When faculty are preparing courses from term to term, a portion of the content is static within a specific discipline. The time it takes to import past lessons into new versions of Sakai can be an inefficient use of my time. When I want to add new content and edit from the old content, it's reliant upon me to cut and paste the content from term to term rather than simply import and edit from a backup.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Since Sakai is open-source their documentation is often lacking and support is absolutely needed onsite. Internal documentation is more important with Sakai than other services. The Sakai community is fun, passionate, engaged, and absolutely doing their best, but it's an uphill battle against the current market and trends.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
As an adjunct professor, I didn't pick Sakai for the university. I have experience with Moodle, Blackboard, eCollege, iBoard and now Sakai. I would have to say that Sakai is one of my all time favorite LMSs to use as it is very easy to navigate.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sakai makes it easy for students to monitor grades which puts their minds at ease.
Sakai makes it easy for teachers to assign and receive assignments from students.
Communication is one of the most important and one of the most taxing parts of an educational system. Sakai makes this process just a little bit easier.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
