Trending December 2023 # Philips Hue Spotify Integration From Today; New Hue Lights Too # Suggested January 2024 # Top 19 Popular

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A new Philips Hue Spotify integration has been announced, and is rolling out to the Hue app from today. This will sync your color lights to the music you’re playing on Spotify, either fully automatically or with some degree of manual control.

Unlike third-party apps like Hue Disco, the integration doesn’t rely on your iPhone microphone to listen to the music …

Instead, it gets all the music data it needs from the metadata already embedded into Spotify tracks.

Intertwine light and music.

It’s the first of its kind. We’ve partnered with Spotify to offer a unique lighting and music integration that links your Philips Hue and Spotify accounts, making your lights react to the Spotify music you love.

With Philips Hue + Spotify, the Hue app analyzes the metadata for each Spotify song in real time, resulting in a light script that on top of incorporating the beat of the song, now also reflects its mood, genre, tempo, segments, loudness, pitch and more.

Whether you’re relaxing on the couch for a cozy night in, having friends over for a get-together, or doing your chores along to a custom playlist, you’ll experience music like never before.

If you don’t like the default lightshow, you can instruct the app to react more gently or dramatically to the song.

If your Hue app has a Sync tab in the bottom center of the home screen, tap that. Otherwise, tap the Explore tab and swipe through the screens to the Spotify one. If you don’t see either option yet, then the update has yet to roll out to your device and should appear within the next few days. (Annoyingly, the way new features are added to the app means that it will claim to be up-to-date even when it it still awaiting the latest updates.)

Dynamic scenes are included in the same update.

Let your color-capable Philips Hue lights in a Room or Zone slowly transition through the different colors of any color scene in the Hue scene gallery. To use dynamic scenes, press the play button that appears on the scene card.

With this initial release, the dynamic effects will be subtle. You may not notice that your lights are changing at first. A future release will let you control the speed of dynamic scenes — stay tuned for the update!

Only color scenes you’ve added to My scenes from the Hue scene gallery can be dynamic. In the future, you’ll be able to make any color scene — even custom ones you create yourself — dynamic.

The Philips Hue Ambience Gradient Lightstrip reported back in July has also now landed. Instead of allowing the choice of a single color for the entire lightstrip, you can now opt for color gradients displaying several colors along the length of the strip using scenes created by Philips.

An 80-inch strip costs $149.99, with 40-inch extension strips available for $59.99.

Also available are Signe Gradient Floor and Table Lamps, which bring the same multi-color capabilities to upright lamps.

Additionally, Philips now offers more powerful standard bulbs – up to 1600 lumens (100w equivalent) and a White Ambience version of its arty filaments bulbs.

Expanding our range with brighter bulbs, now offering 800 lumen (60W equivalent), 1100 lumen (75W equivalent) and 1600 lumen (100W equivalent).

The Filament collection now includes bulbs that offer thousands of shades of warm-to-cool white light for the perfect light throughout the day.

Check out the promo video below for the Spotify integration.

FTC: We use income earning auto affiliate links. More.

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Philips Hue Play Hdmi Sync Box Review: Light Entertainment

Philips Hue Play HDMI Sync Box Review: Light Entertainment

TV is a welcome distraction these days, and with more movies skipping the theater and making their debut on streaming platforms, making your media room more engaging seems like a good idea. The Philips Hue Play HDMI Sync Box may have an awkward name but the idea is simple: using the color-changing lights already a hit with smart home fans, expand what’s happening on-screen beyond the bezels of your TV.

It’s not the first time you’ve been able to synchronize your Hue lights with what’s on your TV, mind. Philips has previously offered a Hue Sync app for PC and Mac, but it was targeted more at gamers than for more passive entertainment like movies. That’s where the Hue Play HDMI Sync Box comes in.

Rather than needing a PC near your TV, it’s a small set-top box roughly the size of an old VHS cassette. On the back there’s a power socket, a microUSB port, an HDMI output, and four HDMI inputs. Your TV connects to the output (with a short HDMI cable included in the box), while your sources – whether they be a cable box, a console, an Apple TV, a DVD player, or something else – hook up to the four inputs.

There’s a button on the front which cycles through those inputs, but no physical remote. The idea is that the Hue Play Sync Box automatically powers on when your TV turns on, and then switches between sources automatically. The former requires an HDMI-CEC compatible set, which most recent TVs are, but there’s a workaround if yours isn’t working. As long as your TV has a USB port you can connect it to the microUSB on the Hue Play Sync Box, and that will trigger it to turn on/off instead. If you’re using a sound-bar or similar, there’s an HDMI-ARC port which can loop the output to that.

The setup process takes a few steps. You’ll need the Hue Sync app along with the regular Hue app, for a start, and you’ll already need to have set up an “entertainment area” in the latter. That’s basically a floor-plan of the Hue lights and bulbs you have around the TV, and which you want to use with the Hue Play Sync Box. If you have a couple of Hue Play lamps behind your TV, for example, you’d select those as part of the entertainment area; you can also select how high they are in the room. Up to ten can be used in a single group.

Once that’s established, you can choose that entertainment area in the Hue Sync app. You might get a warning message, though, telling you that some of the lights in the area aren’t ideal for sync-purposes. That comes down to responsiveness, and of course the bulbs need to be color-capable as well. It’s also worth noting that you’ll need a second-generation Hue Smart Hub: the Hue Play Sync Box links to the bulbs via that, rather than directly, so if you’ve been using Philips’ newer hub-less bulbs via Bluetooth or the original Hue bridge you’ll need to upgrade.

The Hue Sync app allows you to label each HDMI input, as well as choose individual lighting settings. There are Video, Music, and Game sync modes – Music syncs the lights with the soundtrack, rather than the video – as well as a choice of four intensities: basically, that controls how rapidly the lights change color according to what’s on-screen. For fast-paced gaming you might want to set the intensity higher, but for general TV viewing I found level 2 was sufficiently immersive without getting frenetic.

After all that, it’s finally time to grab the popcorn and start watching. For the most part, the Hue Play Sync Box did a good job of flipping between sources. A lot of my viewing is through an Apple TV, and by the time I’d tapped a button on Apple’s remote to wake that, and then hit the power button on the TV remote, Philips’ box was powered up, it was on the correct input, and synchronization was enabled.

It’s not without issues, mind. Sometimes the box wouldn’t automatically switch – if multiple sources are active, occasionally hitting a button on the remote of the one you want to watch isn’t enough to nudge the Sync Box into flipping input – and I had to pull out my phone and use the app. Once or twice it failed to sync the lights at all, but toggling that setting off and on again in the app was enough to fix it. I also had one laggardly bulb which seemed a step behind the lighting pattern, but unplugging that and then plugging it back in got it synchronized again.

The biggest annoyance is going to be for smart TV owners. If you usually rely on your TV’s apps for Netflix, YouTube, and other streaming services, you won’t be able to do that and use the Sync Box for lighting. That’s because there’s no way for the Hue system to know what’s occurring on-screen.

If you’re watching a Dolby Vision or HDR10+ source, that too presents a problem. The Sync Box will pass through that content, but not synchronize your lighting to it. If you want the expansive lighting effects, you’ll need to flip over to the less-impressive HDR10, which Philips’ box is compatible with.

Similarly, there’s no Dolby TrueHD or DTS-HD Master Audio pass-through, and so if you’re of a mind to use one of those it makes sense to configure your receiver and surround sound speakers first, then pipe video from that via HDMI to the Sync Box. That way you’ll probably also get input switching via remote; it’d be nice if Philips’ system was compatible with Logitech Harmony remotes, but right now it’s not.

Honestly, the more complex your home entrainment rig is, the more time you’ll probably have to set aside for configuring it all to coexist with the Hue Play Sync Box. I suspect that’s something most AV and home theater enthusiasts are used to at this point.

For the rest of us, there’s a lot more to like than there is to frustrate. One of the things I enjoy about Hue bulbs is that, with the judicious placement of a few switches and buttons, they’re generally easily accepted by less-tech-concerned members of the household. The Sync Box – automatically taking control of the relevant lights when everything is switched on, and then releasing them at the end when the TV is turned off – delivered much the same experience, working without being glaringly obvious as yet another smart home gadget.

The drawback is price. A Hue Play HDMI Sync Box is $229.99; you’ll also need a Hue bridge and at least one light. If you’re not already in the Hue ecosystem that’s going to add up rapidly: figure on $420 for the Sync Box, bridge, and a pair of Hue Play lightbars, for example.

Not inexpensive, no, but also cheaper than setting up a PC with the old sync software, not to mention more user-friendly. You could make the argument that it leaves a smaller TV feeling like a larger, more costly set, too. As someone already aboard the Hue train it seems like a no-brainer to me, and that’s without even being a gamer: plugging in a console or gaming PC would probably be even more entertaining. Given we could do with all the distractions we can get these days, that makes the Hue Play HDMI Sync Box a must-have for media room addicts.

Chatgpt Too Many Requests Error

Are you experiencing a “Too Many Requests” error when using ChatGPT?

Let me tell you, you are not the only one stuck in this loophole.

Unfortunately, this error pops up when you are in the middle of an urgent project, which is very annoying.

If you receive the “Too Many Requests” error in ChatGPT, you can reduce the Requests, disable the VPN, refresh the page, wait for an hour, or use another account.

Continue reading the article to explore what causes this error and how to fix it instantly.

What Does Too Many Request Errors in ChatGPT Mean?

The “Too Many Requests” error in ChatGPT means a limitation set by an OpenAI on the number of Requests a user can send on ChatGPT in an hour.

It means that the maximum number of Requests that can be sent in one hour has already been reached.

This error might occur if your Request is too complex for the AI.

ChatGPT can handle various Requests depending on the system’s configuration, setup, and available resources.

Some other common causes of Too Many Requests errors are listed below:

Server Down

Corrupted Browser’s Cache

Running Adblocker

The outdated browser or unsupported device

Technical issues

The exact number of Requests that might initiate this issue is still unknown.

But, there are limitations for ChatGPT, estimated to be around 100 Requests per hour.

11 Ways to Fix the “Too Many Request” ChatGPT Error?

To fix Too Many Requests errors in ChatGPT, check the server status; if it is down, wait an hour and try again.

However, there are other possible causes for the error.

Therefore, keep reading to learn how to fix the Too Many Requests error in ChatGPT immediately.

1. Reduce the Number of Requests

If you make Many Requests in a brief period, then such an issue may persist.

You can try reducing the overloaded Requests and splitting large Requests into smaller fragments.

It is always a good practice to make your question descriptive so that your question limit does not exceed.

Additionally, you can try simplifying your query to reduce its complicatedness.

2. Refresh the ChatGPT Page and Browser

You can try refreshing your ChatGPT page and login your OpenAI account.

Occasionally, the system updates after logging and resolves the issues.

Similarly, refreshing the page establishes the connection to the server from scratch.

Additionally, you can try refreshing your browser too.

Refreshing your browser can sometimes fix this “Too Many Requests” error on ChatGPT.

You can follow the steps below to refresh the browser;

First, close all the opened tabs on your browser and close the browser’s window completely.

Then, reopen the browser on your device.

After completing the process, you can check if the issue still prevails.

Continue reading to find out why ChatGPT is down and how to fix it.

3. Clear the Browser’s Cache

The ChatGPT app may experience this error due to a corrupt cache and cookies.

When you clear your cache or cookies, you do not lose critical browser or system information, but your temporary files will be deleted.

You can clear the browser’s cache and cookies by following the steps below;

Select All Time and check the small box Cookies, other site data, and Cached images and files.

Refresh your browser once and check if the issue persists.

Likewise, if the problem continues, you can try logging in with different browsers.

4. Try Accessing From Incognito Mode

You can also try using your web browser’s incognito mode if you constantly receive the “Too Many Requests” error when using the ChatGPT service.

This prevents your web browser from storing cache, cookies, and other malicious data that may create the problem.

Continue reading to learn how to disable incognito mode in Chrome.

5. Disable VPN

Some users have reported that the error might occur when VPN is enabled on their device.

If you enable VPN to use ChatGPT, you will use a shared IP address, which may result in this error.

6. Avoid Using ChatGPT at Peak Hours

OpenAI server experience exceptionally high traffic due to a sudden overflow in demand.

ChatGPT is more populated by the users on working days, i.e., Monday to Friday, particularly from 7 am to 12 am.

You will often see this error while using ChatGPT within this time frame.

Therefore, if your task is non-urgent and you want to sidestep the error, the best option is to use ChatGPT during off-peak hours (before 7 am and after 12 am during weekdays).

During off hours, ChatGPT will provide you with error-free and fast responses.

7. Check the Server Status

Too Many Requests error on ChatGPT may also occur due to technical issues and an overloaded server.

Sometimes, the Open AI servers are inaccessible for a few seconds/minutes or even hours, causing ChatGPT to go down.

Therefore, you should always check the server status to see whether it is functioning well.

Alternatively, you can go to Downdetector to check the status of Open AI.

You can also find out the status on the OpenAI status. If the bar shows greenish color, it means the server is functional.

Meanwhile, if the bar is red or orange, the server is down.

There is nothing you can do to solve this problem from your side.

In the meantime, you must wait for the official announcement from the Open AI Support team.

8. Wait For An Hour

If you think you have exceeded the limit, you must wait an hour to fix this issue.

This error might be caused by high traffic.

One of the genuine solutions for this error is to wait for some time and try again when traffic on the API is slightly less.

Furthermore, you can check whether your API key is suitably configured.

Read on to learn why it is unethical to bypass ChatGPT filters and some hidden controversies of ChatGPT.

9. Use Another Account

You can fix the Too Many Requests error on ChatGPT by creating or using another account.

Here, you can easily create another account with a different email id.

Similarly, you can use the same phone number, as OpenAI allows you to open multiple accounts with a single contact number.

10. Upgrade to ChatGPT Plus

If you use ChatGPT often, you may have noticed the “Too Many Requests” error message come to light more repeatedly.

This is because the number of Requests that ChatGPT can handle depends on the specific configuration and setup of the system and the available resources.

Upgrading to ChatGPT Plus removes this limit and allows you to converse without interruption.

Moreover, the ChatGPT Plus version has other benefits like priority customer support and early access to new features.

Read on to learn the differences and similarities between ChatGPT and ChatGPT Plus.

If none of the above fixes works for you, you can contact Open AI ChatGPT support team for further assistance to resolve the “Too Many Requests” error.

Similarly, you can share a screenshot of the problematic page via email or message with the ChatGPT Customer Support Team.

Note: OpenAI GPT-3 model is limited by the token numbers per month. If you have reached the limit, you must wait until next month.

The Bottom Line

I hope you find this article very helpful in resolving the “Too Many Requests” error on ChatGPT.

Moreover, if ChatGPT is not working correctly or a Too Many Requests error appears, you should try some wonderful ChatGPT alternatives.

Azure Data Factory Integration Runtime

Introduction to Azure Data Factory Integration Runtime

Azure data factory integration runtime is a compute infrastructure used in azure synapse pipeline and azure data factory to provide capabilities of integration across multiple environments of the network. In Azure, the data factory and synapse pipeline define the action which we perform. Linked service in azure defines the compute service of the target data store. Runtime integration provides the bridge between azure linked services.

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Key Takeaways

The trigger pipeline stores the instance metadata. The pipeline connects to data stores and computes services in Azure regions to move data between compute services.

At the time of creating an instance of a data factory or workspace of the synapse, we need to specify its location.

What is Azure Data Factory Integration Runtime?

The azure data factory runtime integration provides the reference of linked service activity as well as the computing environment where we can run the activity or dispatch the same. It allows the activity that was performed into the possible region to the compute service or target data store for maximizing performance and allowing flexibility for meeting compliance requirements.

How to Create Integration Runtime?

The below step shows how we can create the azure integration as follows. First, we are connecting to the Azure portal.

1. In the first step, we are login into the azure portal by using the specified credentials of the azure portal as follows.

3. After opening the create resource tab, we are opening the integration runtime to create new integration as follows.

5. After selecting the runtime setup of integration, we will define the name, type, and region of integration as follows.

6. After defining the name, type, and region of integration, we will define the data flow.

7. After defining the data flow, we will edit the linked service and add our integration into it.

8. After adding the integration, we can check that azure data factory integration is created in the dashboard.

Azure Integration Runtime SSIS

The azure integration runtime is a fully managed cluster of azure virtual machines that were used to run our SSIS packages. We can bring our own SQL database or a managed instance of SQL for the SSIS catalog. We can increase the power to compute the node size of scale by specifying the number of nodes in the cluster. We can manage the running azure cost of our integration by starting and stopping the demand for requirements.

While using familiar tools such as a SQL server management studio and server data tools such as on-premises SSIS to deploy and manage the existing SSIS package with little change. We use the azure SQL database server to manage data by using IP/Firewall network service endpoint rules to connect managed instances or the azure SQL database server.

We are creating an SSIS DB instance on behalf of a single database as part of an elastic pool of managed instances. We can access the SSIS through the public network or through a virtual network.

Types of Azure Data Factory Integration Runtime

Azure data factory offers three types of integration runtime; we need to choose the type as per our needs and need to choose as per network environment capabilities and data integration capabilities.

Below is the type of integration runtime as follows:

Azure – Azure supports data flow, activity dispatch, and data movement into the public network. It will support data flow, activity dispatch, and data movement with private link support. This type is commonly used when creating azure data factory runtime integration.

Self-hosted – Self-hosted supports activity dispatch and data movement into the public network. It will support activity dispatch and data movement in private link support. This type is frequently used when creating azure data factory runtime integration.

Azure-SSIS – When the Azure SSIS package is executed, it will support the public network. The public link will be supported when the Azure SSIS package is executed. This type is used when developing the SSIS package.

Integration Runtime Location

The integration runtime location defines the back-end compute and the SSIS package execution, which we have performed.

We can set the below location as follows:

Azure IR location – We can set an Azure IR location region in which activity execution of dispatch takes place. The effort is made automatically to copy the activity, which detects the sink data store location, then we use IR in the same region. When copying data to an Azure blob in the west US, the blob is detected in the US region, and the copy activity is performed in the IR. The synapse region workspace is used for the data flow of IR. During the activity, we can see which locations are having an impact.

Self-hosted IR location – The self-hosted IR location is logically associated with the synapse workspace or data factory that was used to support the functionalities that we provided. As a result, there is no explicit property of self-hosted IR. When performing data movement, self-hosted IR extracts data from the source and writes it to the destination.

Azure SSIS IR location – To achieve the performance, the azure SSIS location must be chosen. The location of our Azure SSIS does not have to be the same as that of our data factory, but it must be the same as that of our SQL database. If we do not already have a database, we must create one in the same location where the virtual network is created. Using the same method, we are creating an Azure SSIS IR for the same location in order to reduce data movement and associated costs.


In the below example, we are creating the azure data factory integration runtime by using the command as follows.

1. In the first step, we are launching the windows PowerShell in our local system as follows.

2. After launching the PowerShell, now in this step, we create the variable and copy and paste the same in the script as follows.

$SubscriptionName = "Azure_sub" $ResourceGroupName = "Azure_grp" $DataFactoryLocation = "EastUS" $SharedDataFactoryName = "Azure_df" $SharedIntegrationRuntimeName = "Azure_IR" $SharedIntegrationRuntimeDescription = "Azure integration runtime" $LinkedDataFactoryName = "Azure_LDF" $LinkedIntegrationRuntimeName = "Azure_LDFR" $LinkedIntegrationRuntimeDescription = "Azure integration runtime linked source"

3. After creating the script now in this step, we login into the azure portal through windows Powershell as follows.

Select-AzSubscription -SubscriptionName $SubscriptionName

4. After login into the azure portal now, in this step, we are running the following command to create the data directory as follows.

Set-AzDataFactoryV2 -ResourceGroupName $ResourceGroupName ` -Location $DataFactoryLocation ` -Name $SharedDataFactoryName

Integration Runtime Network Environment

Azure integration runtime is used to connect compute services and data stores to publicly accessible endpoints. To enable the virtual network managed by the Azure runtime to connect data stores for the purpose of using the private link service in the network environment.

We have options in the synapse workspaces to limit outbound traffic from the managed virtual network of integration runtime. All ports in Azure Data Factory are open for outbound communications. The azure SSIS integration runtime is integrated with the virtual network to provide outbound communication controls.


Azure data factory integration runtime is a compute infrastructure used in azure synapse pipeline and azure data factory to provide network integration capabilities across multiple network environments. The self-hosted integration performs copy operations between the private network and the cloud data store.

Recommended Articles

This is a guide to Azure Data Factory Integration Runtime. Here we discuss the introduction, how to create integration runtime, types, location, and command. You can also look at the following articles to learn more –

Best Christmas Sweaters With Lights And Music

Best Christmas Sweaters with Lights and Music Get some of the best ugly sweaters for your loved ones




Out of ideas for some Christmas gifts? An ugly sweater with light and music is a great gift for anyone.

The sweater is not supposed to be loved but to be a fun gift for all family to have a good laugh.

Nothing says Christmas like a colored Christmas styled sweater with some light and music.

While the winter arrives with the joy of Christmas, it also brings the freezing weather along. Of course, there’s the fireplace to warm you up, but there could be no better alternative to a nice and warm sweater.

So, with the shopping season in full spree, what about gifting a snug yet funky sweater to loved ones? Christmas sweaters with lights and music are a thing and are fast replacing the classic and chic jumpers.

These trending oversized sweaters look more like they are handwoven, yet they are fun with lights and music attached. With the “no style” theme this season, you are bound to be the highlight of the Christmas sweater party.

We found a few really cool Christmas sweaters with lights and music to boost the holiday spirit with some really whacky weaves. Here’s a quick rundown.

100% Acrylic

Digital lights movement

Hand Wash

Smartphone app enabled

Slight problems with the app

Check price

This one’s plain unique as the sweater dazzles up with an animated fireplace using the phone’s app. Yes, it’s simply amazing to see how the classic, festive design comes to life with a phone app.

The smartphone must be held in the sweater pouch and the app can be played via the sweater hole. Doesn’t that sound super exciting? The animated fireplace makes you the chief attraction of the Christmas party in a jiffy.

60% Cotton, 40% Acrylic

Machine Wash

Has 4 flashing led lights that come on with movement

No batteries needed

The light show is not very complex

Check price

Cayenne Light-up Gingerbread Man is for the chic women who don’t shy away from trying something new. This gingerbread man sweater is perfect for both the Christmas party and for all winter.

What’s more? The tiny led bulbs on the sweater make it attractive wear. Best of all, the lights can be removed for convenience. For those looking for Christmas sweaters with lights and music for their loved ones, this cat sweater is a great deal.

100% Acrylic, knitted material

12 LED lights

Funny patterns.

Hand wash and machine wash

Sizing is a bit confuzing

Check price

Expert tip:

With a ribbed trim, this fun sweater is available in all Small, Large, and XL and is a perfect Christmas gift. It’s a soft, and solid sweater, that offers some really bright light for the Christmas party.

60% Cotton, 40% Acrylic

Pull On closure

Machine Wash

Has 4 flashing led lights that come on with movement

No batteries needed

Might be considered too classic

Check price

For those who love to flaunt the Christmas tree during the holidays, this one’s a perfect take. This bright sweater with the Christmas tree graphic on the front makes for the perfect Christmas party wear. The 4 LED lights that starts blinking with movement.

The beautiful design with a graphic tree and a mix of different colors further enhance your presence. Available in two colors, Cayenne and Evergreen, it sports striped long sleeves, ribbed trim along the neck, cuffs, and the hem.

60% Cotton, 40% Acrylic

Pull On closure

Machine Wash

4 LED Flashing Lights

Activated by movement

Can be considered ugly

Check price

Perfect for men, this Light Up Ugly Christmas sweater makes them stand out in the winter parties. This pullover sports ribbed collars, cuffs, and hem in contrast colors along with Santa in the front. The 4 LED bulbs start flashing with movement making the wearer the center of attention.

Available in two different shades, Blue Onyx and Emerald, these Christmas sweaters with lights and music is just what you want as a gift this season.

Choosing the right Christmas Gift for the loved ones can be stressful, especially with so many options around. If Christmas sweaters that light up and play music are on your mind, this list will help you find the right one.

Perk up the Christmas evenings for the loved ones with these funky, yet snug sweaters this season.

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New Grants From Bu’s Digital Learning Initiative

Second round of DLI’s education technology grants announced DLI funds assessment tool, secure communications portal, and blended computer courses

BU faculty members Eric Braude (from left), Thomas Little, and Jacey Greece will develop educational technologies with grants from the Digital Learning Initiative. Braude photo by Vernon Doucette. Little photo courtesy of the Center for Information & Systems Engineering. Greece photo courtesy of the School of Public Health

MOOCs (massive open online courses) use online technology to reach students who are far from the classroom. Could technology help instructors do some test grading as well? That question punched Eric Braude’s ticket for the latest round of EdTech Seed Grants from BU’s Digital Learning Initiative (DLI).

Braude, a Metropolitan College associate professor of computer science, is designing his Knowla (“knowledge assembly”) system and already has a prototype. Knowla would allow students to respond to test questions in forms that could be automatically graded, he says. Knowla first would dissect test material, be it a speech, poem, essay, or computer program, into fragments according to the instructor’s specifications. The student would view the randomly ordered fragments. “A drag-and-drop interface will allow students to rearrange the fragments and inspect the evolving result,” Braude says. Knowla would score the student based on how well she reconstructs the fragments to match the original document.

Two other proposals, from the School of Public Health and the College of Engineering, won EdTech grants from the DLI, the faculty-led group that develops BU’s MOOCs and awards the grants, which pay for faculty and staff innovations in educational technology. This was the second round of EdTech grants, following inaugural awards earlier this year.

The DLI is seeking proposals for its next round of grants and will hold informational meetings about that process on October 20, 21, and 22 at the Hariri Institue. Information about DLI’s call for proposals is also on its website.

In addition to Braude, two other faculty members received grants in this latest round:

Jacey Greece, a SPH clinical assistant professor, is designing an online portal, the Community Link, for courses that involve collaboration with community service agencies. The portal would allow secure communications between the various parties, regardless of their location or schedule, says Greece. “For example,” she says, “students may be developing a program to address low usage of sexual reproductive services in male high school students for a community-based health center in western Massachusetts. The platform will allow the BU students and the center to engage remotely throughout the semester,” sharing ideas, information, and student assignments.

While several existing SPH courses link students with community agencies, the Community Link would allow more such collaborations while ensuring that student projects “are well-informed, innovative, and evidence-based, and meet the scope of work” requested by the agency, Greece says, adding that the technology could be used by other University schools.

Thomas Little, an ENG professor of electrical and computer engineering, hopes to reboot two core sophomore courses—Circuits and Introduction to Computing—as “blended” courses involving both online instruction and in-class time with professors. The idea would be to move “the lecture component to online video and allow more in-class time [to be] spent on the application of learned concepts,” he says.

“The potential for impact on our residential experience makes this a very interesting endeavor,” he says. “If we can be successful in transforming our large, core courses, we will affect more than 600 students per year.”

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