5 Data Myths in Education

Access to data is getting easier then ever for staff at every level from teacher to superintendent. However, access doesn’t necessarily lead to positive learning outcomes because many districts have an immature data culture. Here are the five data myths I’ve seen that can destroy a data initiative.

#1 Analyzing our data will solve all of our problems.

We must never confuse analyzing the data with solving a problem. Many times organizations use data to identify problems, but then never take the appropriate actions to solve the problem. We cannot analyze our way to learning.

#2 Data in the analytics system is the most important data we have.

It is human nature to over emphasize the value of data we have. This often leads us to frame our problems around the existing data without regard to whether or not it has a direct relationship to learning. We must always ask ourselves if the data we have is relevant to the problem we are trying to solve. If it is not then look for new data that would be more relevant.

#3 The more data I use, the stronger my analysis will be.

We often think that more is better. If we have a strong predictive model with three data points, then it will definitely be better with six data points. This isn’t the case. Adding additional data often creates a greater burden on the data collectors and complicates the data analysis. A quality data system will identify the smallest number of high impact data points that can be used.

#4 Our data looks horrible, we better not share this.

Many times data will reveal unfavorable details about a school or program. This often results in a gut reaction to hide the data or discredit the data system. Instead we must acknowledge the data and own it. We are responsible for the data in our systems and only we have the power to change what that data looks like in the future.

#5 The more disaggregated our data the better.

Most modern data system allow you to drill deep into your data. This can lead to data sets that are searching for a problem and “interesting but useless” insights that offer no actionable solution. Be wary of over analysis.

5 super-powers #EdTech staff need

An essential list of “super-powers” that ed tech staff need to be successful!

#1 Solve problems and fix issues
Which requires:

  • Being a good listener
  • Owning individual issues from start to completion
  • Following through on promises
  • Being experts in documentation, policy, and procedures within the district
  • Being situational aware when dealing with various schools and departments

#2 Think forward and innovate
Which requires:

  • The ability to be aware, reflective, and willing to share
  • Not being afraid of failure
  • The ability to judge where emerging ideas fit into the district
  • Being open-minded and aware of our individual bias or preconceptions

#3 Are experts in both adult and child education and learning
Which requires:

  • Understanding of both pedagogy and andragogy
  • The ability to teach different ways to differentiate course content
  • A solid grasp of a variety of learning modalities including: Face to Face, Online (Synchronous and Asynchronous), and blended learning
  • The ability to apply universal design for learning in the creation of learning activities

#4 Connect with others through collaboration, sharing, and facilitation
Which requires:

    • Creating and nurturing relationships both inside and outside the district with both school and district level staff
    • Purposeful promotion and celebration of sharing and collaboration
    • Curation of the resources that are available across the district
    • Matching various like-minded groups within and outside of the district together

#5 Are Expert Communicators
Which requires:

    • Aggregating and filtering Ed Tech information that could be relevant to district staff
    • Maximizing various means of communication within the district to promote resources, trainings, and initiatives
    • Translate IT needs and initiatives to non-technical staff
    • Provide timely, relevant, and accurate information

#ISTE2016 – 4 Thoughts on Digital Citizenship

Ruha Benjamin describes overt racism and sexism on the web, Michelle Cordy describes the confrontational nature of “Disruption in the classroom”, and George Couros pleads for modeling positive social media practices because we have found ourselves in a position were the technical advances of  our age have drastically outpaced our societies ability to keep up.

I had my definition of digital citizenship challenged during all of these sessions and I’m not quite sure how to put it back together. But here’s were I’m going to start:

  1. Review technology that we are purchasing / promoting for cultural / racial / gender bias.
  2. Continue to put energy into cultivating classroom instruction that infuses technology, instead of disrupting classrooms which can cause confusion, anger, and resentment.
  3. Be more positive. Remember to celebrate in social media, not just share and complain.
  4. Model social media use for students, parents, staff, and the community, while not hiding the negatives. Instead show that positivity can overwhelm the negativity if given the chance.

It is a start…

 

Heading to #ISTE2016, Excited to be with the tribe!

It has been too long (3 years) since I’ve been able to attend ISTE. Part of it has been a 4,000 mile move from Arizona to Alaska, part the need to focus on building new “local” connections, and part of it was a frustration that the conversation hadn’t changed much in a decade of being an “Ed Tech Advocate”. This February that started to change when I was given the opportunity to lead our Ed Tech group.

Working with my Ed Tech staff rekindled an excitement and passion for teaching and learning that has been present, but not at the forefront of my daily work.

I’m excited to spend the next few days with my tribe of passionate educators, teachers through superintendents. I hope to have my assumptions challenged, skills improved, and connections made.

Look forward to seeing you all soon!

Teachers, the Ultimate Knowledge Workers

As I read through the responses of Douglas McCollum, a senior vice president and general manager at Pearson, I could help but sigh, “Why are we still talking about content?”

Anybody fixated on content is living in a bygone era were information was the primary value of education. Today, information is virtually free and accessible any time and any place. Publishing companies are still trying to convince us that if only the content was right (i.e. personalized, customized, more engaging, etc…) that students would learn. That just isn’t true, in 12 years in education I have yet to see content drive anything more textbook companies profits.

Great teachers have always know this and see all texts and media as potential resources. It is through their thoughtful application of psychology, educational theory, and good old fashion grit, they create amazing learning environments. Why then are so many teachers still considered labor? Labor is a cog in factory machine that can interchanged and easily replaced. But a good teacher is not easy to replace. We must strive to categorize teachers as knowledge workers.

Knowledge Worker

A knowledge worker is defined as:

“Knowledge workers are employees who have a deep background and experience, and are considered people who “think for a living.”

If that doesn’t sound like a connected educator, I don’t know what does. Even so lets take a moment to identify how a teacher qualifies as a knowledge worker.

  1. Knowledge Worker always ask: “What is the task?
    Today’s educators are very comfortable with taking a student and various evaluation information to figure out how they are going to reach a student. They have to do this with each and ever student with whom they work.
  2. They have to have autonomy.
    While in some places this is diminishing, educators have the autonomy in their classrooms to do as they see fit. This is a huge responsibility, but most teachers use the autonomy to give their classroom and lessons a distinct focus and feel.
  3. Continuing innovation has to be part of the work and responsibilities.
    Educators are on the front line of society’s rapid social and technological change. Educators are continuously innovating to communicate, collaborate, and teach better.
  4. Required continuous learning and continuous teaching.
    Every great educator sees themselves as a life-long learner and teacher. It is not uncommon to see a 30-year veteran teacher dive into a new pedagogical approach or technology just because they want to stay fresh.
  5. Focus is not on quantity, but the most important concern is quality.
    This is getting more difficult to due with high-stakes testing, but teachers are most concerned with the quality of their students education and the implications it has for the student’s future.
  6. Knowledge Worker to be seen and treated as an “asset” rather than a “cost”.
    Educators are our greatest asset. A site’s staff and school leadership can make or break a community. Educators must not be treated as cogs in the machine.

So you can see that educators easily fit the parameters of knowledge workers. Now we must demand two things.

The first is educator evaluation focused on the qualities and attributes that define them as knowledge workers.

  • Are they innovating?
  • Can they function with autonomy?
  • Are they innovative?
  • Are they task oriented?

Secondly, educators must continue to strive to be recognized as a vital “thinking for a learning” profession. We must focus our efforts on creating processes that leverage the world of information, nurture the affective side of students, and promote educators to be mentors and guides for students and parents. These are the tasks that cannot be reduced to an algorithm and duplicated in mass.

If we can change the image of educators to that of a knowledge profession, it makes us harder to replace, more respected by society, and imparts a philosophy to our students that will serve them well in the information age.

The Case Against Average

Todd Rose, in a recent Tedx Talk, summarized something that has been fluttering around the edges of my thinking for a while. He makes a strong case against teaching to the average and puts forth the idea that a learner’s profile is jagged, in other words some areas are above average and some are below. This jagged profile means an averaged learning environment will be either too easy or too difficult for virtually every student. Take 20 minutes to watch, it is worth it.

Original found via http://www.dontwasteyourtime.co.uk

Getting the Small Stuff Right

I’d be a very rich man if I had a dime for every iPad that sits unused because of poor wireless connectivity, ineffective filter management, or poor apps distribution.

Why is it that after decades of failure in education technology we are still making the same mistake of ignoring the basics while chasing the latest silver bullet?

Maslow's Hierarchy of Needs

Maslow’s Hierarchy of Needs

IT adoption/usage follows a course simliar to Maslow’s Hierarchy of needs in that to get to the next level the foundation must be there:

  1. Physiological -> Network Infrastructure
    • Is your network up 99.999% of the time?
    • Do you have sufficient wireless coverage to support all staff and student devices?
    • Do you have sufficient internal and external bandwidth to meet the needs of your users?
  2. Safety -> Basic Productivity Software / Basic IT Policies
    • Is your student information system user friendly, functional, and reliable?
    • Does your staff have access to email, a phone, and basic office suite? Are they competent in using this software?
    • Do you have appropriate AUP and filtering policies that respect the needs of your students?
    • Do you have sufficient help desk services to meet the needs of your users?
  3. Belonging -> Shared Resources / Communication
    • Are your shared services reliable for staff and students?
    • Does IT help give staff and students identity in the district through phone extensions and/or email addresses?
    • Do staff and students have some element of ownership of the technology they use for learning?
    • Are there effective tools to communicate to staff and students?
  4. Esteem -> Collaboration /Acknowledgement
    • Do you have tools to assist in professional collaboration?
    • Can staff and students access tools for self-reflection (i.e. blog, wiki, sites, etc…)?
    • Are staff and students acknowledged and rewarded for using technology in effective or innovative ways?
    • Do you highlight those staff and students that are exemplars of technology use?
  5. Self-Actualization -> Connected Educators/Administrators
    • Are staff and students using technology to be part of the global conversation?
    • Do non-IT staff participate in the selection and implementation of educational technology?
    • Do IT staff participate in academic and learning focus discussions of educational technology?

We cannot move to the goal of connected educators if we are spending all of our time in the minutiae. As IT leaders in our districts we’ve got to guarantee the first four layers exist so that our learners can thrive.

When the trivial becomes invisible then we can realize the potential of technology in the classroom.

The problem with educational consumerism….

So as I was reading about more iPad deployments today, I realized that what really bugs me about the iPad is it is a consumer device. Not an enterprise device or an educational device, but a method by which to consume information and applications. I thought wow, I just coined a new phrase. Alas, Google tells me that not only did I not coin a phrase but it is in the title of a fascinating article in ERIC titled, “Educational Consumerism: Etiology and Antidotes.” by Roy Schwartzman.

Schwartzman goes on to point out that thinking of a student as a customer drives us towards certain notions about learning and knowledge (some of the parts that I thoughts most interesting):

  1. Students, as consumers, will often pick a curriculum based upon what is easiest not what is most rigorous and challenging
  2. When we portray knowledge as a commodity, then we imply that it should be as easy as buying something to learn
  3. The burden of creating value for education is entirely on the vendor (i.e. teacher)
  4. The burden of improving the product(i.e. education/learning) is solely the responsibility of the vendor (i.e. teacher)

The list actually goes on but I think you should read it yourself.

When you take what he says about educational consumerism and think about how you are using an iPad is he right? If you take what he says and apply it to many of the various tech tools folks go gaga over, are we really doing what we need to do as educators or just perpetuating a myth that quality education is like a great wardrobe and can just be bought?

Networked Education

Linked Book Cover with Green LogoEvery Summer I try to read some books outside of the education/ed tech genre. I a quest to find “Reality is Broken” and ended up with “Linked“. Basically it is book that explains how complexity is new challenge of science and that understanding networks will lead to a complete understanding of the natural world. I love the analogy he uses, “Science of today is like a toddler that took something apart, but can’t figure out how to put it back together.” In the after-effects of NCLB, I think that most teacher feel as though learning has been completely deconstructed to its component parts (i.e. standards/Performance Objectives) but just know what those parts are is not enough to put together a compelling or relevant education.

That being said, I don’t think that the type of network the author discusses and the vision of a “networked” classroom (i.e. lots of tech and gadgets) are one and the same. Here are just a few thoughts:

  1. We have it wrong, learning is based on the principles of a network but that doesn’t mean you have to be on a network to learn.What I mean is that you don’t need any technology to create a brilliantly networked learning system. In many cases the technology is just smoke and mirrors for poor learning and teaching. But what if we started to think about student learning in a 3D web instead of a linear progression? Everything suggests that this or something even more complex is a more realistic portrayal of our neural networks.
  2. If learning is built upon a network model maybe differentiated nodes can explain learning modalities and intelligences.I think that many of the components that have always been there in educational thinking get pulled together when you think of learning as a network system. What if Gardner’s Intelligences represent some of the many pathways for students to engage in content. Maybe learning modalities (i.e. touch, auditory, visual, etc…) are just separate nodes that can all connect to the same content knowledge. What if in some learners the content requires that you go through a visual lesson full of analytical thinking to get to the concept? If you think about the process of learning as the development of a network then many of these things seem to compliment each other better than ever before.
  3. If we do have differentiated learning nodes then it should be possible to diagnose a path that could be effective.Much like with medicine, will there come a time when assessments will be able to provide a learner with what is most likely the most effective way for them to learn? I don’t just mean in the traditional since of you are a visual learner so I’ll let you draw your book report. But what if we can define clear pathways for the many hundreds of different ways to learn a concept and proscribe the version that best suits your learning based upon your existing learning network?
  4. We need to develop metrics for these things.What type of Star Trek like technologies are we going to need to make this happen? Is that what was already happening on Vulcan in those little learning chambers?

Pretty compelling idea to think that in something as complex as learning there is most likely an underlying network that can eventually be decoded and then used to bring us a level of customization and personalization that we have never experienced.