Trending December 2023 # How Edtech Uses Ml To Create A Personalized Educational Experience # Suggested January 2024 # Top 12 Popular

You are reading the article How Edtech Uses Ml To Create A Personalized Educational Experience updated in December 2023 on the website Kientrucdochoi.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested January 2024 How Edtech Uses Ml To Create A Personalized Educational Experience

Technological innovations go side by side with increasing the quality of education to improve students’ personal, professional, and social development. Machine learning algorithms analyze how students perceive the information, allowing them to go back and repeat material or progress further.

Personalized learning as a new perspective in education

It is never too late to study. Everyone can be a student now, including adults who already have a family, a job, and possibly an academic background. For such students, learning with modern technology is the most comfortable way to get an additional diploma or skills and combine education with other daily tasks.

According to Statista, the global education software market will be worth about $11.6bn billion by 2025.

It could be effective for public schools, colleges, universities, and courses, which often serve a diverse student population and provide a broader range of educational services.

There are different approaches to personalized learning:

Adaptive learning

Students get necessary human and digital resources based on their unique needs.

Individualized learning

The pace of learning is adjusted relative to the needs of individual learners.

Competency-based learning

Students progress through learning relative to their ability to demonstrate competence, knowledge, and skills.

Based on the performance history and the most meaningful and relevant learning activities, ML mechanisms will select the best approach to build the unique educational process and increase motivation to study.

Benefits of personalizing the learning experience

Faster results.

Based on each person’s strengths, weaknesses, and qualifications, personalized methods save students time learning irrelevant content that does not match their level and experience.

ML-enabled solutions provide more relevant educational data, stimulate students to interact more, and help to increase the rate of memorizing information.

Improved learning outcomes.

ML algorithms predict results by tailoring content to the learner’s experience and personal goals. For example, a student in an online course can point out a specific ability gap and then receive customized recommendations to enhance expertise.

Tailored learning materials.

ML helps create new content and select existing materials based on students’ academic performance and individual requirements. This way, educational institutions and online portals can properly plan learning processes and provide personalized educational materials and recommendations.

ML-enabled educational methods Learning through online platforms

Modern online learning platforms provide access to the best professors and universities worldwide. They offer multilingual educational content, blended online and offline learning, and personalized experiences without geographic barriers. For example, many countries support teachers and trainers by providing online training to enhance information and communication technology (ICT) skills, help prepare online training materials, and run online classes, especially after COVID-19.

ML algorithms analyze the online course content, identify whether the information is relevant to current standards, and find if users understand what they learn.

For example, Udemy, one of the largest educational marketplaces worldwide, unites students and teachers worldwide and offers more than 150,000 courses. By answering a few simple questions, members get an optimized set of suitable courses and relevant materials on demand.

Carnegie Learning uses ML in its educational platforms for high school and undergraduates. The platforms offer solutions in math, literacy, and world languages. Among the key features of Carnegie Learning’s platforms are simulated human tutors and one-on-one private instruction. The company has won numerous education awards, including “Best Artificial Intelligence/Machine Learning Application” at the Tech Edvocate Awards.

The University of California at San Diego used ML to create a platform for online bioinformatics courses. The main goal is to enable students to learn in their own way and achieve maximum results in a comfortable environment. The course curriculum adapts to the student’s pace, personalizing data and providing as much information as they can understand at once.

All-round mobile learning

Mobile learning is part of e-learning, which gives 24/7 access to educational content via mobile devices. Mobile educational apps significantly reduce the dependence on a specific location and adapt the materials not only to the user’s needs, lifestyle, and knowledge level but also to the fast-paced environment, as users mostly learn on the go.

Online educational resources Udemy and Coursera provide thousands of courses in various disciplines, available through web portals and mobile applications that allow students to continue learning whenever and wherever they are.

ML-enabled educational apps increase students’ engagement and improve their learning experience by personalizing the content they need according to multiple parameters and their learning behavior.

Another prime example of mobile learning is Duolingo. It is an app that helps learn foreign languages. Duolingo uses ML to predict the probability of remembering certain words or phrases. If the app detects that the user frequently misses these words or phrases, it recommends practicing them until the user becomes proficient. The app can also correct students if they make grammatical errors or mistranslations.

Advanced grading

When it comes to teaching, Kahoot!, for example, offers a free platform that allows teachers to create and share quizzes to check who has mastered a topic or needs more work.

Quizlet comes up with an intelligent grading option. It goes beyond comparing students’ answers to the correct ones. It analyzes the meaning of what is written and gives a fair grade, even if the answer is paraphrased or contains typos and minor grammatical errors.

The University of California at Berkeley has created the Gradescope tool, which grades students’ work in voluminous courses. Teachers can set the assessment parameters and get an accurate picture of students’ knowledge by adjusting multiple settings for each course.

ML for classwork personalization

Engagement level indicates teaching quality. It displays how students comprehend the material and tracks time spent on homework. It requires tools to measure activities during the learning process and to track the students’ competence profiles, which will help improve their educational experience.

Knewton was one of the first companies that actively applied data analytics technology to education. It built an adaptive educational platform that connects to any modern learning management system (LMS).

The idea is that the application adapts to a student’s unique learning curve, identifying each strength and weakness. Then teachers at Knewton create adaptive lessons to meet each student’s needs.

SchooLinks is an ML-based platform with a curriculum that engages students in career education, planning, and college applications. The platform works with colleges and universities in many US states. ML algorithms use student data to personalize college recommendations and content to boost engagement.

The bottom line

These days, the most competitive characteristic of an educational project is the ability to provide customized content in the most favorable format for learning.

The massive implementation of machine learning has changed educational services. As a result, we see learning become more individualized and personalized, offering students control over their preferences at the most convenient time and format. ML-based tools are driving a significant shift in the ability to improve learning outcomes.

You're reading How Edtech Uses Ml To Create A Personalized Educational Experience

How To Create Django Signals With Uses And Example?

Introduction to Django Signals

The following article provides an outline for Django Signals. Django offers different features to the user, and that signal is one of the features that Django provides. The single strategy allows us to decouple applications to get notifications when an event occurs. For example, sometimes we need to invalidate the webpage every time with the help of a model instance, but there are several places where we need to update the code, so at that time, we can use singles to handle that situation. In another case, when we have extended custom Django users by one-to-one relationships, we usually use a single dispatcher to listen to the user.

Start Your Free Software Development Course

Web development, programming languages, Software testing & others

What are Django Signals?

In certain special-use scenarios, the business requirement of an application may necessitate specific processing to be performed shortly before or after saving the information to a dataset. This implies there ought to be a method for knowing when the information will be saved or has recently been saved in the data set by the Django model strategy save().

How to Create Django Signals?

Let’s see how we can create Django signals as follows:

Signals are utilized to play out any activity on the change of a model case. The signs are utilities that assist us with interfacing occasions with activities. For example, we can foster a capability that will run when a sign calls it. As such, Signals are utilized to play out some activity on change/making of a specific passage in the Database. For instance, one would need to make a profile case when another client occasion is made in the Database.

There are three types of signals as follows:

preserve and postsave: These signals execute before and after the save () method.

predelete and postdelete: These signals execute before and after the delete () method.

preinit and postinit: These signals execute before and after instantiating the model.

On the off chance that you know about the observer design pattern, this is fairly how django executes it. Or if nothing else fills a similar need.

The signs machinery has two vital components: the shippers and the collectors. As the name proposes, the shipper is the one liable to dispatch a sign, and the recipient is the person who will get this sign and afterward follow through with something. A collector should be a capability or an occurrence technique to get signals. A shipper should either be a Python item or none to get occasions from any source. “Signal dispatchers” establish the connection between shippers and recipients by utilizing the interface technique to transmit signals.

The Django framework also defines a ModelSignal, which is a subclass of signal that enables the source to be lazily specified as a string in the app_label.ModelName format. Be that as it may, taking everything into account, we will continuously need to utilize the Signal class to make custom signs. So to get a sign, you want to enroll a collector capability that gets called when the symbol is sent by utilizing the signal.connect() technique.

First, we need to create a project and a model; let’s assume we have already begun a model and other details, so add the code below.

Code:

from chúng tôi import AppConfig class StudentConfig(AppConfig): name = 'student' def ready(self): import student.signals

Explanation:

Now signals are live; we can see in the below screenshot as follow:

At the same time, we can check the admin view, as shown in the below screenshot.

Uses of Django Signals

1. A Signal is an item relating to a specific occasion. For instance, we could characterize the accompanying sign to address a pizza has finished cooking.

Code:

from django.dispatch import Signal coffee = Signal(providing_args=["type", "size"])

Signs can send messages. To achieve this, you call the send() method on the signal instance, passing in a sender argument along with any pre-defined arguments.

2. Beneficiaries are callables that are associated with a specific sign. When the sign sends its message, each associated beneficiary gets called. Therefore, recipients’ capability marks should match what the sign’s send () technique utilizes.

Code:

from django.dispatch import receiver from coffee import signals @receiver(signals.coffee_done) def off_when_coffee_done(sender, type, size, ****): Example of Django Signals

Let’s see an example if you want to create a profile of a user using postsave signals as follows:

First, we must create a project per our requirement or create a separate environment that depends on the user. After creating the project inside the model, add the code below.

from chúng tôi import models from django.contrib.auth.models import Student class Profile(models.Model): student = models.OneToOneField(User, on_delete=models.CASCADE) studphoto = models.ImageField(default='extension of photo', uploadto='studentprofilepics') def __str__(self): return f'{self.student.studname} Profile'

Now inside the view file, add the below code.

Code:

from django.shortcuts import render, redirect from django.contrib import msg from django.contrib.auth.decorators import login from .forms import StudRegiForm, StudUpdateForm, def studregister(request): if request.method == 'POST': form = StudRegiForm(request.POST) if form.is_valid(): form.save() studname = form.claear_data.get('studname') msg.success(request, f'student added successfully') return redirect('studlogin') else: form = StudRegiForm() return render(request, 'student/studregi.html', {'form': form}) def profile(request): if request.method == 'POST': formu = StudUpdateForm(request.POST, instance=request.student) formp = ProfileUpdateForm(request.POST, request.FILES, instance=request.user.profile) if formu.is_validu() and formu.is_valid(): formu.save() formp.save() msg.success(request, f'Update done') return redirect('profile') } return render(request, 'student/profile.html', context)

Now create a form as per our requirement; after completing the form, we need to add a single; here, we use the receiver method as follows.

Code:

from django.db.models.signals import saves, delete from django.contrib.auth.models import Student from django.dispatch import receiver from .models import StudProfile @receiver(postsave, sender=Student) def create_profile(sender, instance, created,): if created: StudentProfile.objects.create(student=instance) @receiver(postsave, sender=Student) def saveprofile(sender, instance,): instance.studprofile.save()

Now we need to write code for signal connection as below.

Code:

from chúng tôi import AppConfig class StudentConfig(AppConfig): name = 'student' def ready(self): import student.signals

Output:

Conclusion

With the help of the above article, we saw about the Django signals. From this article, we saw basic things about the Django signals and the features and installation of the Django signals, and how we use them in the Django signals.

How To Create A Daemonset?

Definition of Kubernetes Daemonset

Web development, programming languages, Software testing & others

What is Kubernetes Daemonset?

A Daemonset is a dynamic object in kubernetes which is managed by a controller. The user can set the desired state that represents the specific pods which need to exist on every node. The compromise in the control loop can compare the current practical state with the desired state. If the practical node, doesn’t fit the matching pod, then the controller of the Daemonset creates a new one automatically. This automated process has all recently created nodes and existing nodes. The pods developed by the controller of Daemonset are neglected by the Kubernetes scheduler and present as the same node itself.

What are the Use Case for Daemonset?

The use case for Daemonset are as follows,

As the use case is complex, the user can deploy many possible Daemonsets for a typical kind by a variety of flags, CPU requests, and memory units for different types of hardware.

Daemonset can enhance the performance of the cluster by pod deployment to execute maintenance activities and support services for every node. The background processes like monitoring apps in Kubernetes and other services must be present along with clusters to offer timely and relevant services.

It is mostly adapted for long-running services like collection of logs, monitoring of node resources, storage in clusters, and pods related to infrastructure. It is standard for Daemonset to run on a single daemon throughout all the nodes in the cluster. The multiple Daemonset can manage one type of Daemonset by applying different labels. This label can identify rules in deployment based on the behavior of individual nodes. Daemonsets is deployed on the background tasks which the user can execute on all the possible nodes but it doesn’t need any intervention. The user can have Daemonset for every type of daemon to execute on all nodes. The user can also execute multiple Daemonset for every single daemon type. But can use various configurations for diverse hardware models and resource requirements.

How to Create a Daemonset?

To create a Daemonset the following steps are involved.

The Daemonset is developed in a YAML file with few parts.

It requires apiVersion

It requires the type or kind of the behavior for Daemonset

It needs the metadata for the Daemonset

It needs spec_template for pod definition which the user needs to execute on all nodes.

It needs spec_selector to manage the pods for Daemonset and this kind must be label specific in a template of pods. The selector name defined in the template is applied in the selector. But this name cannot be changed once the Daemonset is created without leaving the pods created prior in the Daemonset.

The spec_template-spec-node selector is used to execute only the nodes subset which suits the selector

Spec-template-spec-affinity is used to execute on nodes subset which has affinity match.

Once the configuration is completed, Daemonset is created in the cluster.

Methods to communicate with pods Kubernetes Daemonset

The user can transfer data from other pods to a pod of Daemonset executed on the node. The user can transmit data metrics to pod monitoring in two ways,

The pod spec in Daemonset has specifiy host port to uncover it on the node. Then it can interact directly with the IP of node which is executed on it.

Using the same pod selector, the service is created as a Daemonset and then it is used to reach the Daemonset. The limitation of this service is that a Daemonset of a pod is random to receive the request. This implies that the request may pass over the network instead of hanging on a similar pod as the requested pod.

In NodeIP with Known port, the Daemonset pods use the hostport, and so the pods are connected through node IPs. The client understands the use nodeIP list and is also aware of the port conventions.

DNS develop headless service and explore Daemonset using endpoint to retrieve reports from DNS

In-Service, it creates the service with a similar pod selector and uses it to reach the daemon of the random node.

Conclusion

Hence, the feature of Daemonset is used to check that few or all the pods are executed and scheduled on every available node. It executes the copy of the desired pod throughout all the nodes. So when a new node is joined to the cluster of Kubernetes, the new pod is added to the recently attached node.

How To Create A Button Programmatically?

In this article, you will learn about how to create a button prograticamtilly in the Swift language. There are different ways to create a button object programmatically in iOS. Let’s explore some of them with an example.

We will see the following ways to create a button −

Step 1 − In this step, we will create a button object and customize it later when required.

Step 2 − In this step, we will create a button object using a lazy keyword.

Step 3 − In this step, we will create a button object and set the frame later.

Create a button and customize it later

Here is an example of how you can create a button programmatically in iOS using Swift −

Example import UIKit class TestController: UIViewController { private let loginButton = UIButton() override func viewDidLoad() { super.viewDidLoad() initialSetup() } private func initialSetup() { view.backgroundColor = .white navigationItem.title = "UIButton" loginButton.setTitle("Login", for: .normal) loginButton.setTitleColor(.white, for: .normal) loginButton.layer.cornerRadius = 10 loginButton.layer.masksToBounds = true loginButton.backgroundColor = .darkGray loginButton.titleLabel?.font = UIFont.systemFont(ofSize: 18, weight: .semibold) loginButton.addTarget(self, action: #selector(handleLoginButtonTapped), for: .touchUpInside) view.addSubview(loginButton) loginButton.translatesAutoresizingMaskIntoConstraints = false loginButton.centerYAnchor.constraint(equalTo: view.centerYAnchor).isActive = true loginButton.centerXAnchor.constraint(equalTo: view.centerXAnchor).isActive = true loginButton.heightAnchor.constraint(equalToConstant: 50).isActive = true loginButton.widthAnchor.constraint(equalToConstant: 280).isActive = true } @objc private func handleLoginButtonTapped() { print("login button tapped...") } } Output

In the above step, a button object named loginButton is created in the controller. The button’s title is set to “Login” and the title color is set to white. The button is also given a target-action pair so that when the button is tapped, the function “handleLoginButtonTapped” will be called. Finally, the button is added as a subview to the current view.

You will see that initially, we created a button object. After that, we will customize the button in the viewDidLoad() method. And finally, add it to the super view with some required constraints.

Create a button using the lazy keyword

Here is an example of how you can create a button programmatically in iOS using the lazy keyword in UIKit −

Example import UIKit class TestController: UIViewController { private lazy var loginButton: UIButton = { let button = UIButton() button.setTitle("Login", for: .normal) button.setTitleColor(.white, for: .normal) button.layer.cornerRadius = 10 button.layer.masksToBounds = true button.backgroundColor = .darkGray button.titleLabel?.font = UIFont.systemFont(ofSize: 18, weight: .semibold) button.addTarget(self, action: #selector(handleLoginButtonTapped), for: .touchUpInside) button.translatesAutoresizingMaskIntoConstraints = false return button }() override func viewDidLoad() { super.viewDidLoad() initialSetup() } private func initialSetup() { view.backgroundColor = .white navigationItem.title = "UIButton" view.addSubview(loginButton) loginButton.centerYAnchor.constraint(equalTo: view.centerYAnchor).isActive = true loginButton.centerXAnchor.constraint(equalTo: view.centerXAnchor).isActive = true loginButton.heightAnchor.constraint(equalToConstant: 50).isActive = true loginButton.widthAnchor.constraint(equalToConstant: 280).isActive = true } @objc private func handleLoginButtonTapped() { print("login button tapped...") } } Output

In the above step, a button object named loginButton is created in the controller using the lazy keyword. The button’s title is set to “Login” and the title color is set to white. The button is also given a target-action pair so that when the button is tapped, the function “handleLoginButtonTapped” will be called. Finally, the button is added as a subview to the current view.

Note that with lazy keyword you don’t need to add the button as subview in the declaration of button, you can do it later whenever you need it.

Create a button using a frame

Here is an example of how you can create a button programmatically in iOS using Swift −

Example import UIKit class TestController: UIViewController { private let loginButton = UIButton(type: .system) override func viewDidLoad() { super.viewDidLoad() initialSetup() } private func initialSetup() { view.backgroundColor = .white navigationItem.title = "UIButton" loginButton.frame = CGRect(x: 20, y: 150, width: 280, height: 50) loginButton.setTitle("Login", for: .normal) loginButton.setTitleColor(.white, for: .normal) loginButton.layer.cornerRadius = 10 loginButton.layer.masksToBounds = true loginButton.backgroundColor = .darkGray loginButton.titleLabel?.font = UIFont.systemFont(ofSize: 18, weight: .semibold) loginButton.addTarget(self, action: #selector(handleLoginButtonTapped), for: .touchUpInside) view.addSubview(loginButton) } @objc private func handleLoginButtonTapped() { print("login button tapped...") } } Output

You can change x, y, width and height according to your needs and also you can change the button title and action according to your requirement.

Conclusion

You can programmatically create buttons in a variety of ways. You can create a button object and customize it later whenever you need it in code. In addition, the lazy keyword can be used to create a button object. The UIButton class provides the flexibility to set the frame later in the code. You can see how to set the frame of a button in the above example.

Using a lazy keyword is the most recommended way. You can create a button object and add any customization in a single block. Also, you can add the target in the same block.

How To Create A Partition On Your Mac

Unlike Windows-based computers, Macs usually do not come with multiple hard-drive partitions. It is just a single partition that you see when you first boot your Mac. Though there is no harm using your Mac with a single partition, it is highly recommended that you have at least two partitions on your machine. This will let you store your important files on one partition when the other one is being formatted. It is also helpful if you plan to install another OS beside your Mac OS. Regardless of your reasons, here’s how you can do it.

Creating a Partition on a Mac

It is really easy to create a partition on a Mac, as your Mac comes preloaded with an utility that allows you to do that. The utility we are talking about is called “Disk Utility” which is found in the Utilities folder on your Mac. Besides partitioning, it allows you to perform a number of disk-related operations on your machine.

Here are the steps you need to follow:

Name – Enter a name for your new partition, it could be anything of your choice. It’s suggested that you use a meaningful name, though.

Format – This one is important. Make sure to choose the appropriate format that you think will work with the files that you will be storing on this new partition.

Size – Specify the size for your new partition.

7. Restart your Mac when it is done.

Congrats! A new partition has been successfully created on your Mac, with all of your defined settings. You can now use it to store your files, videos, music, and all the content that you have been storing on your main hard drive until now.

Conclusion

While it’s easy to use a Mac with just a single partition, adding another one decreases the chances of your files being corrupted in case you crash your machine.

Mahesh Makvana

Mahesh Makvana is a freelance tech writer who’s written thousands of posts about various tech topics on various sites. He specializes in writing about Windows, Mac, iOS, and Android tech posts. He’s been into the field for last eight years and hasn’t spent a single day without tinkering around his devices.

Subscribe to our newsletter!

Our latest tutorials delivered straight to your inbox

By signing up, you agree to our Privacy Policy and European users agree to the data transfer policy. We will not share your data and you can unsubscribe at any time.

How To Create A Web Archive With Archivebox

Archivebox is an easy-to-use archival program that allows you to create an accurate snapshot of any website. This can be helpful for archivists and users that want to preserve information online. Not only that, Archivebox is also incredibly simple and easy to use. For example, you can run the program both as a command line tool and as a web app that you can access anywhere.

Why Should You Archive Websites?

Over the years, the World Wide Web enabled individuals across the globe to easily share and communicate information with each other. One issue with the Web, however, is that websites do not hold up over time.

Most websites only stay active for around two to five years. After that, they either go offline completely or are replaced by a different website altogether. For example, there are little to no websites from the 1990s that are still online today.

Alternatively, you can also use the WayBack machine to archive websites – no installation required.

Archivebox’s Requirement

Before you can install Archivebox, you need to make sure that you have the following resources:

A machine that you can access from outside your home network. This can either be a machine at home that you can port-forward or a rented remote VPS.

Your machine needs to have an adequate amount of storage space. In most cases, a 1TB disk should be able to store between 100,000 to 1,000,000 individual webpages.

Your machine’s filesystem needs to either be EXT4 or ZFS for Archivebox to work properly.

Note: this tutorial focuses on installing and configuring Archivebox on a local Ubuntu 22.04 LTS machine.

Installing Archivebox

First, install the program’s dependencies. Open a terminal and type the following command:

sudo

apt

install

python3 nodejs python3-pip nginx npm npm

install

--no-audit

--no-fund

'@postlight/mercury-parser'

Install Archivebox through Python PIP:

pip3

install

archivebox

PATH

$PATH

home

$USER

.local

bin

Next, create a folder where Archivebox will save all of its data. In my case, I am creating my directory in my “/home/archivebox” directory:

mkdir

home

$USER

abox-data

home

$USER

abox-data

Lastly, you can finalize your Archivebox instance by running the following command to download and configure all the Python patches that the program needs to run in your machine.

archivebox init

--setup

You will be asked for the details of the first user.

Check whether you have installed Archivebox properly by running:

archivebox

--version

Preparing the Web GUI

While Archivebox is perfectly usable as a command line utility, it is also possible to access the program through a web interface. This is useful if you want to either share Archivebox with other users or access the program outside your server.

To host a web GUI, you need to create an Nginx reverse proxy to redirect any incoming web traffic to the Archivebox daemon.

Create a new Nginx configuration file:

sudo

nano

etc

nginx

sites-available

archivebox

Copy and paste the following code, changing server_name to your own domain name:

server

{

listen

;

listen

[

]

:80

;

root

/home/archivebox/abox-data

;

location

{

}

Enable the Archivebox configuration:

sudo

-s

etc

nginx

sites-available

archivebox

etc

nginx

sites-enabled

Restart Nginx and start the Archivebox daemon:

sudo

systemctl restart nginx archivebox server 0.0.0.0:

8000

Archiving Your First Website

Open your web browser and access the Archivebox instance through your domain name. In my case, I am going to “yetanotherarchiveboxxyz.”

Enter your user credentials to log in to the utility.

Archive your first website by pressing the “Add” button on the page’s upper sidebar.

Next, you can choose a variety of options to archive your website. For example, you can provide a set of tags for your links to sort them properly.

Further, you can tell Archivebox to save the contents of any immediate link in the page that you want to archive. This is useful in cases where you want to preserve the context of a website.

Archiving a Website Using the Command Line

To archive a webpage from the command line, run the following commands:

home

$USER

abox-data

You can also customize how Archivebox obtains the pages that it saves. For example, it is possible to save only a screenshot of every web page that you archive.

This is helpful for users who want to save disk space while storing websites. To disable the other formats, you need to run the following commands:

archivebox config

--set

SAVE_WGET

=False archivebox config

--set

SAVE_WARC

=False archivebox config

--set

SAVE_PDF

=False archivebox config

--set

SAVE_SINGLEFILE

=False archivebox config

--set

SAVE_READABILITY

=False archivebox config

--set

SAVE_MERCURY

=False Adding a New User in Archivebox

Once inside the Admin Panel, go to the “Authentication and Authorization” category and select “Users.”

This will list all the active users in the system. Select the “Add User +” button in the page’s upper-right corner.

Similar to adding users to a Linux group, the user creation process in Archivebox can be complicated. Despite that, a new user only requires three things to function properly: username, password and a set of user permissions.

To create a new user, first provide a password.

After that, select the user permissions for that particular user. In most cases, you only need to toggle the following options for a regular user:

Lastly, select the “SAVE” button on the page’s lower right corner to apply your changes.

Frequently Asked Questions How can I solve a "Failed to install Python packages" error?

This happens due to a bug in Archivebox that prevents it from finding the binaries it is looking for. Despite that, this error only affects a minor part of the program and will not damage the integrity of your archive.

One way to mitigate this issue is by making sure that your installation is always up to date. Do that by running pip3 install --upgrade archivebox.

Image credit: Unsplash. All alterations and screenshots by Ramces Red.

Ramces Red

Ramces is a technology writer that lived with computers all his life. A prolific reader and a student of Anthropology, he is an eccentric character that writes articles about Linux and anything *nix.

Subscribe to our newsletter!

Our latest tutorials delivered straight to your inbox

By signing up, you agree to our Privacy Policy and European users agree to the data transfer policy. We will not share your data and you can unsubscribe at any time.

Update the detailed information about How Edtech Uses Ml To Create A Personalized Educational Experience on the Kientrucdochoi.com website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!