Last month, the nonprofit Center for Democracy and Technology (CDT) published a report arguing schools and districts should go the way of other industries and hire a Chief Privacy Officer to oversee their organization’s privacy policies and practices.
But the reality is that Chief Privacy Officers in K-12 education are about as common as unicorns.
Two years ago, Denver Public Schools created a new role, the Student Data Privacy Officer, after the Colorado legislature passed a law to promote student data privacy and transparency.
In my state of Virginia (like many other states), we focus on these four:
Community engagement and civic responsibility
STEP 2: Tag team with colleagues to plan instruction
In step one we created our graduate profile by brainstorming and identifying both the personal and professional knowledge and skills that our future graduates need. Now it’s time to formulate plans to bring the profile to fruition. To ensure student success, implementation should take place in the classroom and tap the expertise of our colleagues.
Student success is never due to one teacher, but a collaborative effort.
STEP 3: Identify and leverage the right industry partners
Technological literacy requires students to create authentic products using appropriate edtech, therefore developing technologically literate graduates should not be left entirely to teachers and schools.
Soliciting the help of our industry and business partners is so crucial to this process
Step 4: Create career pathways in schools
schools create systemic K-12 career pathways — or pipelines — for their students and give teachers ample time and space to plan and work together to maximize the learning aligned to well-developed graduate profiles.
In October 2018, the Education Week Research Center conducted a nationally representative online survey of nearly 500 K-12 teachers, principals, and district leaders to learn more about their views on innovation—a common buzzword that was defined in the survey as “the introduction and/or creation of new ideas or methods.”
Technology is a helpful tool, but it won’t provide that sense of stability. It’s a cold machine. School districts push technology over teachers. They don’t stop to think about what it will mean to children and their development.
the idea that instruction should be disrupted using technology is putting students and the country at risk. It destroys the public school curriculum that has managed to educate the masses for decades.
Early childhood teachers express concern that tech is invading preschool education. We know that free play is the heart of learning.
But programs, like Waterford Early Learning, advertise online instruction including assessment for K-2. Their Upstart program advertises, At-home, online kindergarten readiness program that gives 4- and 5-year-old children early reading, math, and science lessons.
The FBI has released a public service announcement warning educators and parents that edtech can create cybersecurity risks for students.
In April 2017, security researchers found a flaw in Schoolzilla’s data configuration settings. And in May 2017, a hacker reportedly stole 77 million user accounts from Edmodo.
Amelia Vance, the director of the Education Privacy Project at the Future of Privacy Forum, writes in an email to EdSurge that the FBI likely wanted to make sure that as the new school year starts, parents and schools are aware of potential security risks. And while she thinks it’s “great” that the FBI is bringing more attention to this issue, she wishes the public service announcement had also addressed another crucial challenge.
“Schools across the country lack funding to provide and maintain adequate security,” she writes. “Now that the FBI has focused attention on these concerns, policymakers must step up and fund impactful security programs.”
According to Vance, a better approach might involve encouraging parents to have conversations with their children’s’ school about how it keeps student data safe.
documented here how educators use Trello to manage project-based learning activities that involve group work and peer review.
Slack has been described as “ a private Twitter on steroids.” At first glance, the tool looks like a chat room—but it’s got more going on inside.
Like Twitter, Slack features hashtags that denote specific “channels” dedicated to topics, but each channel operates like its own chat room. Users can send messages to a channel or directly to one another (one-to-one), and also create private groups for focused discussions (one-to-few).
connected Trello to Slack so that he receives a notification whenever his students make edits on a Trello card. He turns to Slack to communicate directly with students and groups, often leaving feedback on assignments. “It hasn’t been effective as a way to broadcast information to the entire class,” Green admits. “But it’s become a very important tool for us to share resources for kids, and have 1-on-1 conversations with students.”
Other educators are exploring how to use Slack as a professional learning network.
Artificial intelligence (AI) and machine learning are no longer fantastical prospects seen only in science fiction. Products like Amazon Echo and Siri have brought AI into many homes,
Kelly Calhoun Williams, an education analyst for the technology research firm Gartner Inc., cautions there is a clear gap between the promise of AI and the reality of AI.
Artificial intelligence is a broad term used to describe any technology that emulates human intelligence, such as by understanding complex information, drawing its own conclusions and engaging in natural dialog with people.
Machine learning is a subset of AI in which the software can learn or adapt like a human can. Essentially, it analyzes huge amounts of data and looks for patterns in order to classify information or make predictions. The addition of a feedback loop allows the software to “learn” as it goes by modifying its approach based on whether the conclusions it draws are right or wrong.
AI can process far more information than a human can, and it can perform tasks much faster and with more accuracy. Some curriculum software developers have begun harnessing these capabilities to create programs that can adapt to each student’s unique circumstances.
GoGuardian, a Los Angeles company, uses machine learning technology to improve the accuracy of its cloud-based Internet filtering and monitoring software for Chromebooks. (My note: that smells Big Brother).Instead of blocking students’ access to questionable material based on a website’s address or domain name, GoGuardian’s software uses AI to analyze the actual content of a page in real time to determine whether it’s appropriate for students. (my note: privacy)
serious privacy concerns. It requires an increased focus not only on data quality and accuracy, but also on the responsible stewardship of this information. “School leaders need to get ready for AI from a policy standpoint,” Calhoun Williams said. For instance: What steps will administrators take to secure student data and ensure the privacy of this information?
Many of these teachers started out as “teacher bloggers,” but most became Insta-famous through Teachers Pay Teachers, an online platform that allows teachers to sell classroom resources they’ve created, such as worksheets and bulletin board decor.
By promoting their Teachers Pay Teachers products on Instagram with hashtags such as #TeachersOfInstagram and #TeacherLife, as well as sharing classroom tips and snapshots, these teachers acquire tens of thousands of followers. Many even exceed the 100,000 follower mark.
The CEO of Teachers Pay Teachers, Adam Freed, told BuzzFeed News the platform “becomes a real living” for many teachers.
With an aesthetic that could be described as “Pinterest-y,” it might be surprising that Instagram seems to have overtaken Pinterest as the place teachers are sharing their designs and ideas.
“With Instagram, it’s really cool because you’re able to direct message the person right away and ask, ‘Hey how did you do this?’ or ‘I have some questions about my classroom!’” said Maloy. “I have new teachers messaging me all of the time. It’s like Pinterest, but it goes a step beyond because you have that collaboration and a way to connect with people.”
In spite of all their success, some of these teachers think about what could happen if the teacher influencer bubble bursts one day. This concern is what keeps some of them in the classroom.
School administrators have largely been supportive too, and many of the teachers said their social media work is seen as proof that they’re passionate, creative, and skilled at their jobs.
James Dixon, the CTO of Pentaho is credited with naming the concept of a data lake. He uses the following analogy:
“If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples.”
A data lake holds data in an unstructured way and there is no hierarchy or organization among the individual pieces of data. It holds data in its rawest form—it’s not processed or analyzed. Additionally, a data lakes accepts and retains all data from all data sources, supports all data types and schemas (the way the data is stored in a database) are applied only when the data is ready to be used.
What is a data warehouse?
A data warehouse stores data in an organized manner with everything archived and ordered in a defined way. When a data warehouse is developed, a significant amount of effort occurs during the initial stages to analyze data sources and understand business processes.
Data lakes retain all data—structured, semi-structured and unstructured/raw data. It’s possible that some of the data in a data lake will never be used. Data lakes keep all data as well. A data warehouse only includes data that is processed (structured) and only the data that is necessary to use for reporting or to answer specific business questions.
Since a data lake lacks structure, it’s relatively easy to make changes to models and queries.
Data scientists are typically the ones who access the data in data lakes because they have the skill-set to do deep analysis.
Since data warehouses are more mature than data lakes, the security for data warehouses is also more mature.