On the surface, adopting technology to support teacher needs or student challenges isn’t terribly complex: define the problem you’re trying to solve, identify the right tools for the job, and implement the tools effectively and with fidelity.
Only 33 percent of parents surveyed by the Learning Assembly said their child’s school did an excellent job using technology to tailor instruction.
Understanding Purpose
Technology is just a tool, not a means in and of itself. Any school or teacher that sets out to use technology for its sake alone, and not in the service of personalizing learning or addressing specific needs, is on a mission to fail.
Insufficient Modeling of Best Practices
A survey from Samsung found that 37 percent of teachers say they would love to use technology but don’t know how, and 76 percent say they would like a professional development day dedicated to technology.
ideos that focus on scaling and modeling best practices (produced by places like the Teaching Channel and The Learning Accelerator) can help teachers and schools do this.
Bad First Impressions
Teachers face initiative fatigue: They are constantly being asked to implement new programs, integrate new technologies, and add on layers of responsibility. In one Wisconsin district, nearly half of teachers felt ongoing district initiatives were a “significant area of concern.”
Forward-thinking schools take the time to learn from the challenges of other schools, and recruit a coalition of the willing.
Real-World Usability Challenges
Relying on multiple devices (remote, clicker, iPad, computer mouse) to launch or navigate technology can be difficult. Additionally, teachers may start to use a tool, only to realize it is not flexible enough to meet their original needs, fit into the constraints of their particular school or classroom, or allow them to integrate their own content or supplemental resources.
The Right Data to Track Progress
Lack of useful data, problem definition, weak teacher buy-in, first impressions, and usability challenges all have the potential to torpedo smart technology products.
Can We Please Stop Talking About Generations as if They Are a Thing?
Millennials are not all narcissists and boomers are not inherently selfish. The research on generations is flawed. DAVID COSTANZA
APRIL 13, 2018 9:00 AM
We spend a lot of time debating the characteristics of generations—are baby boomers really selfish and entitled, are millennials really narcissists, and the latest, has the next generation (whatever it is going to be called) already been ruined by cellphones? Many academics—and many consultants—argue that generations are distinct and that organizations, educators, and even parents need to accommodate them. These classifications are often met with resistance from those they supposedly represent, as most people dislike being represented by overgeneralizations, and these disputes only fuel the debate around this contentious topic.
In short, the science shows that generations are not a thing.
It is important to be clear what not a thing means. It does not mean that people today are the same as people 80 years ago or that anything else is static. Times change and so do people. However, the idea that distinct generations capture and represent these changes is unsupported.
What is a generation? Those who promote the concept define it as a group of people who are roughly the same age and who were influenced by a set of significant events. These experiences supposedly create commonalities, making those in the group more similar to each other and more different from other groups now and from groups of the same age in the past.
In line with the definition, there is a commonly held perception that people growing up around the same time and in the same place must have some sort of universally shared set of experiences and characteristics. It helps that the idea of generations intuitively makes sense. But the science does not support it. In fact, most of the research findings showing distinct generations are explained by other causes, have serious scientific flaws, or both.
Numerousbooks, articles, and pundits have claimed that millennials are much more narcissistic than young people in the past.
on average, millennials are no more narcissistic now than Xers or boomers were when they were in their 20s, and one study has even found they might be less so than generations past. While millennials today may be more narcissistic than Xers or boomers are today, that is because young people are pretty narcissistic regardless of when they are young. This too is an age effect.
Final example. Research shows that millennials joining the Army now show more pride in their service than boomers or Xers did when they joined 20-plus years ago. Is this a generational effect? Nope. Everyone in the military now shows more pride on average than 20 years ago because of 9/11. The terrorist attack increased military pride across the board. This is known as a period effect and it doesn’t have anything to do with generations.
Another problem—identifying true generational effects is methodologically very hard. The only way to do it would be to collect data from multiple longitudinal panels. Individuals in the first panel would be measured at the start of the study and then in subsequent years with new panels added every year thereafter, allowing assessment of whether people were changing because they were getting older (age effects), because of what was happening around them (period effects), or because of their generation (cohort effects). Unfortunately, such data sets pretty much do not exist. Thus, we’re never really able to determine why a change occurred.
According to one national-culture model, people from the United States are, on average, relatively individualistic, indulgent, and uncomfortable with hierarchical order. My note: RIchard Nisbett sides with Hofstede and Minkov: https://blog.stcloudstate.edu/ims/2016/06/14/cultural-differences/
Conversely, people from China are generally group-oriented, restrained, and comfortable with hierarchy. However, these countries are so large and diverse that they each have millions of individuals who are more similar to the “averages” of the other country than to their own.
Given these design and data issues, it is not surprising that researchers have tried a variety of different statistical techniques to massage (aka torture) the data in an attempt to find generational differences. Studies showing generational differences have used statistical techniques like analysis of variance (ANOVA) and cross-temporal meta-analysis (CTMA), neither of which is capable of actually attributing the differences to generations.
The statistical challenge derives from the problem we have already raised—generations (i.e., cohorts) are defined by age and period. As such, mathematically separating age, period, and cohort effects is very difficult because they are inherently confounded with one another. Their linear dependency creates what is known as an identification problem, and unless one has access to multiple longitudinal panels like I described above, it is impossible to statistically isolate the unique effect of any one factor.
Are some millennials narcissistic? Are some boomers selfish? Sure, but there are many who are not and whose profiles mirror othergenerations.
First, relying on flawed generational science leads to poor advice and bad decisions. An analogy: Women live longer than men, on average. Why? They engage in fewer risky behaviors, take better care of themselves, and have two X chromosomes, giving them backups in case of mutations. But if you are a man and you go to the doctor and ask how to live longer, she doesn’t tell you, “Be a woman.” She says eat better, exercise, and don’t do stupid stuff. Knowing the why guides the recommendation.
Now imagine you are a manager trying to retain your supposedly job-hopping, commitment-averse millennial employees and you know that Xers and boomers are less likely to leave their jobs. If you are that manager, you wouldn’t tell your millennial employees to “be a boomer” or “grow older” (nor would you decide to hire boomers or Xers rather than millennials—remember that individuals vary within populations). Instead, you should focus on addressing benefits, work conditions, and other factors that are reasons for leaving.
Second, this focus on generational distinctions wastes resources. Take the millennials-as-commitment-averse-job-hoppers stereotype. Based on this belief, consultants sell businesses on how to recruit and retain this mercurial generation. But are all (or even most) millennials job-hopping commitment avoiders? Survey research shows that millennials and Xers at the same point in their careers are equally likely to stay with their current employer for five or more years (22 percent v. 21.8 percent). It makes no sense for organizations to spend time and money changing HR policies when employees are just as likely to stick around today as they were 15 years ago.
Third, generations perpetuate stereotyping. Ask millennials if they are narcissistic job-hoppers and most of them will rightly be offended. Treat boomers like materialistic achievement seekers and see how it affects their work quality and commitment. We finally are starting to recognize that those within any specific group of people are varied individuals, and we should remember those same principles in this context too. We are (mostly) past it being acceptable to stereotype and discriminate against women, minorities, and the disabled. Why is it OK to do so to millennials or boomers?
The solutions are fairly straightforward, albeit challenging, to implement. To start, we need to focus on the why when talking about whether groups of people differ. The reasons why any generation should be different have only been generally discussed, and the theoretical mechanism that supposedly creates generations has not been fully fleshed out.
Next, we need to quit using these nonsensical generations labels, because they don’t mean anything. The start and end years are somewhat arbitrary anyway. The original conceptualization of social generations started with a biological generational interval of about 20 years, which historians, sociologists and demographers (for one example, see Strauss and Howe, 1991) then retrofitted with various significant historical events that defined the period.
The problem with this is twofold. First, such events do not occur in nice, neat 20-year intervals. Second, not everyone agrees on what the key events were for each generation, so the start and end dates also move around depending on what people think they were. One review found that start and end dates for boomers, Xers, and millennials varied by as many as nine years, and often four to five, depending on the study and the researcher. As with the statistical problem, how can distinct generations be a thing if simply defining when they start and when they end varies so much from study to study?
In the end, the core scientific problem is that the pop press, consultants, and even some academics who are committed to generations don’t focus on the whys. They have a vested interest in selling the whats(Generation Me has reportedly sold more than 115,000 copies, and Google “generations consultants” and see how many firms are dedicated to promulgating these distinctions), but without the science behind them, any prescriptions are worthless or even harmful
David Costanza is an associate professor of organizational sciences at George Washington University and a senior consortium fellow for the U.S. Army Research Institute. He researches, teaches, and consults in the areas of generations, leadership, culture, and organizational performance.
Open Discussion: Instruments and Methods for Formative Assessment: by invitation of teachers from Plovdiv region | Тема: Инструменти и методи за актуални училищни занятия
Where | Къде: СУ „Димитър Матевски“ https://goo.gl/maps/rojNjE3dk4s and online ( виртуално) When | Кога: 2. май, 2018, 14 часа | May 2, 2018, 2PM local time (Bulgaria) Who | Кой: преподаватели и педагози | teachers and faculty How | Как: използвайте “обратна връзка” за споделяне на вашите идеи | use the following hashtag for backchanneling#BGtechEd
Intro | Представяне – 5мин. Who are we (please share short intro about your professional interests) | Кои сме ние: споделете накратко професионалните си интереси (използвайте “comment” section под този блог) http://web.stcloudstate.edu/pmiltenoff/faculty/
Reality Check (before we do tech) | минута за откровение (преди да започнем с технологии):
who is our audience | кого учим/обучаваме? https://blog.stcloudstate.edu/ims/2018/04/21/in-memoriam-avicii/ https://blog.stcloudstate.edu/ims/2018/04/17/edtech-implementation-fails/
why technology application fails | защо се проваля използването на технологии в обучението?
Understanding Purpose | какъв е смисълът
Insufficient Modeling of Best Practices | недостатъчен или несподелен опит
Bad First Impressions | лоши първи впечатления
Real-World Usability Challenges | ежедневни проблеми
The Right Data to Track Progress | кои данни определят успеха
Share your thoughts for the fails | Сподели твоите мисли за провала
Тема1. Сравняване на Kahoot, Edpuzzle и Apester – 1-1, 1/2 час продължителност Topic 1: A comparison of Kahoot, Apester and EdPuzzle
Дискусия, относно методиката на използване. Споделяне на опит кога и как го използват колегите от България и САЩ (други страни?).
Short demonstration and discussion regarding methodology of use. Sharing experience of use.
Споделяне на опит | ideas and experience exchange.
Comparison to other tools (e.g. flipped classroom advantage to Kahoot; difference from EdPuzzle, similarities to EdPuzzle) | съпоставяне с други инструменти: например, обърната класна стая – предимство пред Кахут; разлики и прилики с ЕдПъзил и тн)
Създаване на акаунт | account creation and building of learning objects
Comparison to other tools (e.g. flipped classroom advantage to Kahoot; difference from EdPuzzle, similarities to EdPuzzle) | съпоставяне с други инструменти: например, обърната класна стая – предимство пред Кахут; разлики и прилики с Еиптстър и тн)
Тема 2. Виртуална реалност в учебния процес – теория и практика- 1-1, 1/2 час продължителност Topic 2. Virtual reality in teaching and learning – theory and hands-on
When a student is brilliant on the street corner but falling asleep in class, something is wrong with the schooling system Ако учащ се е страхотен на ъгъла на улицата, но се проваля или заспива в клас, тогава нещо е грешно с учебната система https://blog.stcloudstate.edu/ims/2018/04/17/education-teched-frenemies/
A new study indicates that people who meditated over an eight-week period had a striking change in the expression of 172 genes that regulate inflammation, circadian rhythms and glucose metabolism. And that, in turn, was linked to a meaningful decrease in their blood pressure.
“This is a major step to overcome the innate bias that has developed in medicine over the last hundred years or so,” says Dr. Herbert Benson, who started promoting what he called “the relaxation response” more than four decades ago. “Going back to penicillin in the 1920s, we have been inexorably dependent on medication, surgery and procedures.”
His goal is to establish the relaxation response and other techniques that calm the brain — yoga, t’ai chi, breathing exercises, repetitive prayer and other meditative practices — as a “third leg” of medical treatment, along with medication and surgical procedures.
Last fall, the American Psychological Association declared the nation has reached a new high point in the nation’s stress quotient. the American College of Cardiology and the American Heart Association expanded the definition of high blood pressure, raising the number of people considered hypertensive from 72 million to 103 million — nearly half of all adults.
Previous studies of other diseases, such as inflammatory bowel disease and rheumatoid arthritis, have suggested improvement after meditation. But, “this is the first study where we have a nice, clean, clinical read-out,” says Towia Libermann,
In 2014 Tim Berners-Lee, inventor of the World Wide Web, proposed an online ‘Magna Carta’ to protect the Internet, as a neutral system, from government and corporate manipulation. He was responding after revelations that British and US spy agencies were carrying out mass surveillance programmes; the Cambridge Analytica scandal makes his proposal as relevant as ever.
Luciano Floridi, professor of Philosophy and Ethics of Information at the Oxford Internet Institute, explains that grey power is not ordinary socio-political or military power. It is not the ability to directly influence others, but rather the power to influence those who influence power. To see grey power, you need only look at the hundreds of high-level instances of revolving-door staffing patterns between Google and European governmentsand the U.S. Department of State.
And then there is ‘surveillance capitalism’. Shoshana Zuboff, Professor Emerita at Harvard Business School, proposes that surveillance capitalism is ‘a new logic of accumulation’. The incredible evolution of computer processing power, complex algorithms and leaps in data storage capabilities combine to make surveillance capitalism possible. It is the process of accumulation by dispossession of the data that people produce.
The respected security technologist Bruce Schneier recently applied the insights of surveillance capitalism to the Cambridge Analytica/Facebook crisis.
For Schneier, ‘regulation is the only answer.’ He cites the EU’s General Data Protection Regulation coming into effect next month, which stipulates that users must consent to what personal data can be saved and how it is used.
Apps like WhatsApp, Facebook, Snapchat, Instagram, Twitter, LinkedIn, Viber
Felix Krause described in 2017 that when a user grants an app access to their camera and microphone, the app could do the following:
Access both the front and the back camera.
Record you at any time the app is in the foreground.
Take pictures and videos without telling you.
Upload the pictures and videos without telling you.
Upload the pictures/videos it takes immediately.
Run real-time face recognition to detect facial features or expressions.
Livestream the camera on to the internet.
Detect if the user is on their phone alone, or watching together with a second person.
Upload random frames of the video stream to your web service and run a proper face recognition software which can find existing photos of you on the internet and create a 3D model based on your face.
For instance, here’s a Find my Phone application which a documentary maker installed on a phone, then let someone steal it. After the person stole it, the original owner spied on every moment of the thief’s life through the phone’s camera and microphone.
The government
Edward Snowden revealed an NSA program called Optic Nerves. The operation was a bulk surveillance program under which they captured webcam images every five minutes from Yahoo users’ video chats and then stored them for future use. It is estimated that between 3% and 11% of the images captured contained “undesirable nudity”.
Hackers can also gain access to your device with extraordinary ease via apps, PDF files, multimedia messages and even emojis.
An application called Metasploit on the ethical hacking platform Kali uses an Adobe Reader 9 (which over 60% of users still use) exploit to open a listener (rootkit) on the user’s computer. You alter the PDF with the program, send the user the malicious file, they open it, and hey presto – you have total control over their device remotely.
Once a user opens this PDF file, the hacker can then:
Install whatever software/app they like on the user’s device.
Use a keylogger to grab all of their passwords.
Steal all documents from the device.
Take pictures and stream videos from their camera.
Capture past or live audio from the microphone.
Upload incriminating images/documents to their PC, and notify the police.
And, if it’s not enough that your phone is tracking you – surveillance cameras in shops and streets are tracking you, too
You might even be on this website, InSeCam, which allows ordinary people online to watch surveillance cameras free of charge. It even allows you to search cameras by location, city, time zone, device manufacturer, and specify whether you want to see a kitchen, bar, restaurant or bedroom.
As online education expands, students are bringing old-fashioned cheating into the digital age
According to the latest report from Babson Survey Research Group, nearly 6.5 million American undergraduates now take at least one course online
1. Listen to students and faculty. Every college, university, or online-learning provider has a different approach to online learning. At Indiana University, where more than 30 percent of students take at least one online course, the online education team has launched Next.IU, an innovative pilot program to solicit feedback from the campus community before making any major edtech decision. By soliciting direct feedback from students and faculty, institutions can avoid technical difficulties and secure support before rolling out the technology campus-wide.
2. Go mobile. Nine in 10 undergraduates own a smartphone, and the majority of online students complete some coursework on a mobile device. Tapping into the near-ubiquity of mobile computing on campus can help streamline the proctoring and verification process. Rather than having to log onto a desktop, students can use features like fingerprint scan and facial recognition that are already integrated into most smartphones to verify their identity directly from their mobile device.
For a growing number of students, mobile technology is the most accessible way to engage in online coursework, so mobile verification provides not only a set of advanced security tools, but also a way for universities to meet students where they are.
3. Learn from the data. Analytical approaches to online test security are still in the early stages. Schools may be more susceptible to online “heists” if they are of a certain size or administer exams in a certain way, but institutions need data to benchmark against their peers and identify pain points in their approach to proctoring.
In an initial pilot with 325,000 students, for instance, we found that cheating rose and fell with the seasons—falling from 6.62 percent to 5.49 percent from fall to spring, but rising to a new high of 6.65 percent during the summer.
Rumours of the switch contributed to a 6% drop in Intel’s share price over the course of Monday, adding specific pain to a general collapse in tech stocks caused by fears of oncoming regulation in the wake of the Cambridge Analytica scandalat Facebook.
As Apple has grown into the largest company in the world, it has been able to unlock economies of scale that are not reliant on third-parties.