Facebook

There has been a lot of angst recently about how Facebook uses data from user profiles. But pretty much every organization that uses advertising does essentially what Facebook does, i.e. collecting information about customers and using it to target advertising messages to them.  So how do we make sense out of current events in social media?

Yes, Everybody does it

It is a standard postulate of advertising and marketing that we respond most favorably when the messages we receive are relevant to our interests. So ALL advertising companies do research to find out where their preferred customers (and prospects) hang out in the media, and they advertise in those locations.

They also do various kinds of research to understand us better.  For example, the bar code scanning in our favorite supermarket.  Everything goes into a database, and if we pay by credit card for check, they know a lot about us, personally.  Have you ever noticed that the coupons that print out while we're checking out are usually for something we already buy (or a competitor)?

Data collection about customers is not new, by any means.

• For centuries, newspapers and later radio and TV created interesting content in order to get people to also see advertisements.
• Starting in the 1970s there was an explosion of specialty magazines, allowing advertisers to reach audiences they knew was already interested in the specialty products the advertiser sells. 
• The hundreds of cable channels now provide this same pre-selection of specialty interests for advertisers.
• When businesses started using the WEB, the same thing happened -- specialty websites sprang up allowing advertisers to find the audience interested in their particular specialty products.

Modern mobile technology has certainly taken this way of doing business to new heights, like knowing your exact location so they can text you discount coupons when you are near a certain store. But it is more of the same and NOT something unprecedented.


How does Facebook Advertising work?

When you make a post on a Facebook business page, some people see the post "organically" because they already follow the page, or they see a friend comment or like the post.

But as page administrator, you also have the opportunity to pay money to extend the post so more people see it.  You can select friends of your current followers, or use a variety of other criteria, such as geographic area, age, and gender.  Facebook also watches what members post, like, and share, so you can select people based on a variety of interests which Facebook has identified, resulting from your history of posting.

In doing this, Facebook does NOT actually share your data.  The advertiser provides the criteria, and Facebook does the match internally in its system, and "serves" the post (advertisement) to the people who match the criteria.


So how did Cambridge Analytica get the data?

According to this article, the researcher, Dr. Kogan, made an agreement with Facebook which allowed collection of data for research purposes, but forbade transferring the data to third parties.

At face value, this is reasonable.  Academic researchers collect personal data all the time, but ethical research does not allow the identities of the participants to be known by anyone outside the study. Institutions have mechanisms in place to ensure this, called "Human Subjects Institutional Review Boards."  I have served on HSIRB at my school and have written proposals seeking approval for my research plans.

In keeping with this, Facebook prohibits collected data from being sold or transferred “to any ad network, data broker or other advertising or monetization-related service.” Dr. Kogan apparently collected the data, then violated the agreement with Facebook and transferred the data anyway.


What was the real failure here?

One can certainly argue that Facebook needs a stronger way of enforcing it's terms of service policy than simply trusting people to comply.

One can argue that websites and apps on which we post personal data should not be allowed to use that data, but this has been happening for 20 years or more on almost every commercial online platform you visit.  It is the REASON they exist, i.e. to make money (not to "serve the public.")

One can argue that users need more warnings about "the information you are about to post may be used for advertising, and delivered back to you in individually-targeted messages."  Most people will still ignore the messages, as they do the terms of service and other warnings.

One can argue that the people in Congress who are charged with regulating this stuff have no clue about what they are trying to regulate (a fact made clear by the questions from members of Congress to Mark Zuckerberg).

I wish I could boil this all down to a single failure with corresponding solution, but the social media environment is too complex.

The vast majority of these web and app systems are for-profit undertakings, meaning that they either need to charge fees, or depend on advertising.  The tried and true business model is to attract an audience with interesting content, and then expose them to advertising, ideally focused to the interests of the audience because what is advertised aligns with the content.

But most consumers conceptualize these content sources as "services" and do not understand that they, themselves, are an audience being sold to advertisers.  This makes them gullible and prone to impulse when they encounter memes, quizzes, and other means of data collection.

There is no simply way to change this paradigm, but public education is part of it.  Caveat Emptor (let the buyer beware) is critical.  Stop and think what information you are entering into the app or website.

If you don't want the entire world to know something, don't put it on the Internet (including ANY communication transmitted via technology).

Why you SHOULDN'T watch your favorite shows on-the-air (or cable)

If you REALLY want to help a TV show you love, don't watch on the networks (including cable). Watch a (legal) streaming feed or DVR.  Why?

TV series live and die by the ratings, but many people do not realize that weekly ratings that lead to cancellation or renewal are only collected from the top 50 markets (cities) in the country.

On top of that, only a random sample of homes with "people meters" actually get counted, and then are project statistically.

So, if you live in a big city, but do NOT have a people meter, you don't get counted.  If you live anywhere else you do not get counted...if you watch your show over-the-air or on cable, that is.

On the other hand, ratings today take into account how many people streamed or DVRed the show in the seven days after the network/cable broadcast.  When you stream or DVR the show you DO get counted.

(Of course, this means streamed legally, or DVRed with a system that can "phone home" to report your viewing.  Bootleg copyright infringed streams, downloads, and old-style home video recorders don't get counted.)

The reality is, there are some shows that get twice or more as many views via legal streaming/DVRing than they do in the network/cable feeds. This is particularly true when you look at certain desirable demographics, like 18-49-year-olds. A three-times increase is not unheard of.

Because these streaming/DVR viewers still get commercials, the networks make money from every commercial you see, and profitability and return on investment is what gets a series renewed, or canceled if the return is too low. 

So the "broadcast plus seven" ratings are influential, and streaming/DVRing allows you to contribute to the ratings of the shows you like.  Or, if you still like the context of gathering for the broadcast at a specific time, watch the live feed but make sure you also stream it again, at least once, before seven days are up.

(Of course, this does not address original series from Netflix, etc, that are never on the broadcast and cable channels.  They are not counted in any ratings, other than the company's internal tracking of hits, downloads, and streams, which they rarely reveal.)

So again, of you REALLY want to help your favorite shows, make sure you stream them at least once in the seven days following the original network/cable feed and add your ratings into the renewal calculations.

Understanding Weather and Climate via Chaos Theory

I am not a mathematician, but I have published in the academic press on the subject of Complex Dynamic Systems, aka Chaos Theory, which certainly applies to weather and climate. But many Americans still don't understand how interconnected everything is when it comes to weather and climate. That makes it harder for some to accept human-caused climate change.

In Chaos Theory, tiny variations can grow to have huge effects in a dynamic system.  Weather and climate are such a dynamic system.

This article from Bloomberg shows how the LACK of warmer-than-average water in the Pacific Ocean (El Niño) results in worst-than-normal hurricanes in the Caribbean and Gulf of Mexico. Dry air blowing dust off of Africa’s Sahara Desert also plays a role in making bad hurricanes.

We know that warmer temperatures in the Arctic can mean colder North American winters, even though it seems counter-intuitive.

But logial falacies still persist:

"It's cold today, so there can't be global warning." 

"It snowed lot today, so there can't be global warming."

"There's no way to know what the temperature was before thermometers were invented, or before they were brought to such-and-such a location."

Each of these statements shows lack of critical thinking, yet each is common. And this makes it EASY for deniers to reinforce these wrong ideas.

The motivation of the big businesses that lobby against addressing climate change is short-term profits.  Big business is SO geared to quarterly profits reports that it has trouble seeing the long-term big picture.

Sooner or later, big business will conclude that climate change is bad for business. Insurance companies are getting a reminder in the wake of the huge hurricanes in the last several days, with billions of dollars of damages the insurance companies will need to pay out.  There is only so much they can get the government to pay for.

What I have never understood is that big companies DO make long term plans to improve profits, such as building new facilities that will take years to come online. Why can't they take the same approach to reducing carbon dioxide pollution NOW to leverage for greater profits in the future.  

We know that warming of the ocean and atmosphere is resulting in a higher rate of "extreme weather events."  What we used to call "extreme" is getting closer and closer to the new normal, unless we do something about it.

The Limited Lifespan of Technological Civilizations

A recent paper in the Cambridge Journal of Astrobiology concludes that the typical
technological species becomes extinct within 500 years after attaining modern technology and that this extinction leaves the civilization's planet uninhabitable.

There is some cool information here for both my science fiction writers out there, but also for people concerned about climate change.

The paper, by retired astrophysicist and mathematics professor Daniel Whitmire, of the University of Arkansas, makes the following arguments:

1. Based on the "Principle of Mediocrity," a cornerstone of modern cosmology, when there is only one data point, we need to assume that the data is typical of other examples, even though we cannot detect them. So, in the absence of evidence to the contrary, we should believe that humans are typical of other intelligent, technological species out there in the universe. Statistically, this means we are toward the middle of the bell-shaped curve, where the vertical line is in the middle of the graphic.

2.  So...assuming we really are typical, we only know two fundamental things, a) that we are the first technological species to evolve on the Earth and b) we are early in our technological evolution.

No archaeological evidence of a previous technological civilization has been found, (Erich von Däniken doesn't count) and a true technological civilization would leave evidence that could be found for millions of years.

3.  The evolution of technological species IS statistically probable, Whitmire says, because our typical technological civilization evolved in the first 22% of the projected total lifetime of the part of Earth's biosphere suitable for land animals.  If a technological species were to be improbable, then we would expect to have evolved toward the end of Earth's biosphere lifetime, i.e beating the odds.

4.  If technological species go extinct while leaving the biosphere viable, then later technological species are likely to evolve, Whitmire says. On the other hand, if extinction leaves the land biosphere uninhabitable, the reset time could easily take too long for evolution of another technological species, he contends.

5.  Given the principle of mediocrity, which says that humans are typical of other existing technological species, and because we are early in our technological evolution, the statical likelihood is that other existing technological species we encounter will also be in the relatively early stages of technology development, and be the first to evolve on their planet.

6.  When you calculate the bell-shaped curves of probability, the best we can say, based on current evidence, is that a technological civilization is "likely" to last 500 years or less, says the author.

• If our technological civilization survives another 1,000 years, then statistically the "likely" survival range would jump to 5,000 years or less.
• Note that we are already 100 years into our own technological civilization.

7.  Therefore, the best evidence we have, based on the statistical principle of mediocrity, is that the typical technological species has a short lifetime and that their extinction typically coincides with the extinction of their planetary biosphere.

Note: A technological species in defined by the author as those biological species that have developed the ability to affect the global environment and utilize electronic devices. That means that one of the signature characteristics defining a technological species is invention of radio!

I said that this blog post is for my science fiction writers out there, because I think that there is some cool basis for speculative writing here.  I would also caution that it is always POSSIBLY for a civilization to be an outlier, but the ODDS say that both we, and any aliens we encounter, will be toward the center of the curve, and thus similar to ourselves.

When it comes to climate change, this logic can also serve as a basis for what we know, based on statistics, about civilizations faced with climate change and other extinction-level events. Based on the very limited statistical information we have (one data point), the likelihood is that in 400 years or less, we will make OUR planet uninhabitable.

All of this speculation is based on statistics. It is not a prediction of real world events. But it matches pretty well with the existential threats of nuclear war and climate change that our society faces. It would be nice to prove that we are NOT typical, as current defined, because we beat the odds.

This blog post was inspired by this article, but I went to the original published journal article to write my summary.

Who Posts Trump's Tweets?

When I first read the president's tweets about Charlottesville, my immediate reaction was that some of them didn't read the way he says things.  It turns out that some of them MAY have come from a staffer, not Trump himself.

During the campaign in 2016, we know pretty certainly that some @realDonaldTrump posts were made by the candidate himself, and some were made by staffers.  The language was different, but also some were posted from an Android device and some from Twitter for iPhone.  Trump was using the Android device during the campaign and staffers had the iPhone.

This is not unexpected. There are a LOT of politicians and celebrities who have staffers or publicists manage or contribute to their social media.  It is pretty much standard procedure, except that most politicians probably do the hands-on tweeting less than Trump has.

This article from March scrutinizes the Twitter dynamic of the Trump campaign/presidency. It turns out that some tweets are STILL probably written by somebody other than the president, personally. Again, not at all unreasonable for a politician.

The @TrumpOrNotBot bot analyzes the president's tweets and uses machine learning and natural language processing to estimate the likelihood Trump wrote a tweet himself.  It uses an algorithm that compares new tweets to the president’s massive Twitter record, and calculates the odds that Trump, personally, wrote the new tweet. Supposedly the algorithm is continually updated.

So what do I conclude from looking at the analysis?

I think it's really hard to accurately analyze the language, but the platforms the tweets come from are interesting.  This week, most tweets have still been sent from an iPhone, but some are from the "Media Studio" Android app.

The Media Suite Android posts are more likely to be announcements about events, videos of the president, government reports, etc.  Advocacy posts (and insults) are more likely to come from the iPhone app.

So what did @realDonaldTrump tweet?

iPhone:  We ALL must be united & condemn all that hate stands for. There is no place for this kind of violence in America. Lets come together as one! 

iPhone: What is vital now is a swift restoration of law and order and the protection of innocent lives. #Charlottesville 

Android Media Studio: We must remember this truth: No matter our color, creed, religion or political party, we are ALL AMERICANS FIRST. 

Android Media Studio: We will continue to follow developments in Charlottesville, and will provide whatever assistance is needed. We are ready, willing and able. 

iPhone:  Deepest condolences to the families & fellow officers of the VA State Police who died today. You're all among the best this nation produces. 

iPhone: Condolences to the family of the young woman killed today, and best regards to all of those injured, in Charlottesville, Virginia. So sad! 

iPhone: Our thoughts & prayers are with the families, friends & colleagues of #Virginia's @VSPPIO Lt Cullen & Tpr Bates #Charlottesville

I don't think it is likely that sometimes the president uses one phone and sometimes another, sometimes iOS and sometimes Android. It would not surprise me if more than one trusted person using an has access to post to the account. So I interpret the Android Media Studio posts as being the White House Communications office or other trusted party, and most, if not all, of the iPhone posts being directly from the hand of the president

In some ways, none of this matters, other than as a curiosity to observers. If something is released over the signature of the president, it IS functionally the president saying it, no matter who wrote it.  But given the unique Twitter dynamic the president has established, I find it to be intriguing to try to understand which tweets fall into which categories.

And particularly in light of the recent criticism of whether Trump should have called out white supremacists the way he calls out everybody else, I do wonder who really is posting what content to the president's accounts.

Strategic Distraction in Social Media

Given the power that social media has to influence society and social agendas, it's become a regular tactic to use social media ti divert attention away from the bad stuff.

Trump does it.  Lots of other organizations do it. But we are hardly aware of what is going on.

Two stories have prompted this post. The first is about a study that concludes that the Chineses government employs a tactic of diverting attention from bad news or dissent. They do this NOT by addressing the issue to counter arguments, but by inundating social media with other, positive content that leads the conversation away from the dissent. The study concludes that they do this with an "army" of 2 million people who flood the internet with positive news posts.

The article quoted one of the authors of the study as saying:

We had always thought that the purpose of propaganda was to argue against or undermine critics of the regime, or to simply persuade people that the critics were wrong. But what we found is that the Chinese government doesn’t bother with any of that.  Instead, the content of their propaganda is what we call “cheerleading” content. Basically, they flood the web with overwhelmingly positive content about China’s politics and culture and history. What it amounts to is a sprawling distraction campaign rather than an attempt to sell a set of policies or defend the policies of the regime.

The second story I read recently concludes that bots are a major factor in spreading "fake news" on Twitter. Automated accounts are particularly active in the early spreading of viral claims, and tend to target influential users, according to the authors.

I have addressed bots before and not all are bad, but in the political realm, they are doing more than just auto-liking posts.

So what can we learn from these two stories?

• There are organizations and governments that are actively manipulating the flow of information via social media and the Internet, for their own benefit.
• Often, their goal is distraction.

The Chinese government uses "good news" to overwhelm the "candle in the wind" of dissent.

Donald Trump uses insults to distract from the criminal investigations centered on his election campaign.

But whether he knows it or now, Trump also distracts from OTHER important things going on in the American government.  Because the insult of the day has to be reported and analyzed in the media (it doesn't but they haven't figured that out yet).....

Other important things never bubble up to the surface for broad discussion, like this story about a Commerce Department plan that could reduce the size of 11 marine sanctuaries and monuments.

If the opposition wants to retake Congress in 2020, and retake the White House in due course, they have to get MUCH more sophisticated about how they disseninate simple, straightforward Twitter-like talking points that will REALLY get the attention of undecided voters. Armies of people doing coordinated posting and bots are clearly fair game, but false information is not, in my opinion.

Temperatures rising! What we REALLY know about climate change.

Update: Since I wrote this, there have been more and more extreme climate events. The warming and melting of the arctic is having an increasingly powerful effect on weather farther south, from a hurricane that retained its strength and crossed overland from Louisiana to New York to freezing weather in Texas.

Here is another of my posts that explains in detail where these extreme events are coming from.

     ---

Original article:

The first half of 2017 was the second-hottest first six calendar months on record, behind only 2016.

This article notes that this is significant because this year there is no El Niño, which can temporarily raise global average temperatures.

That's after correcting for all the "figures don't lie but liars can figure" distractions out there, global warming is a fact and is a clear threat.

For those of you unclear about the details, here is a primer:

• Science is about explanations that are consistent with observed facts, updated as observed facts become more and more accurate.  The most simple, straightforward explanations are the best, and when proposed explanations are tested, there needs to be broad agreement that the observed facts ARE well explained.
  
• We know that the Earth is warming. Multiple independent sources of data tell us this. It may vary a bit from year to year, but the trend is upward. Within reasonable limits of error, these different independent sources agree.
  
• We know that carbon dioxide is a greenhouse gas. We know that about twice as much carbon dioxide (CO2) is appearing in the atmosphere as what the Earth can take back out via natural processes. We know that industry in general, and the fossil fuel industry in particular, emits huge quantities of carbon dioxide. We know that the parts per million of CO2 in the atmosphere has been going up since the beginning of the industrial revolution.
  
• We know that water vapor has significantly more effect as a greenhouse gas than CO2, but stays in the air for only a few days whereas CO2 stays for decades. We know that warmer air has more carrying capacity for water vapor and that the water vapor mostly resides in the upper atmosphere (meaning that what happens on the ground, like drought, is not particularly relevant because it is a local/regional thing). We know that water vapor concentrations at high altitudes have been climbing at a statistically significant rate. So, the warming caused by the elevated CO2 is amplified.
  
• We also know that in the prehistoric past, when the temperature was sometimes higher, the CO2 PPM was also higher. We know that there are natural sources that can cause increases in CO2, notably volcanoes, but the number of volcanic eruptions and other natural sources in the last century is not consistent with the observed increase in CO2 and other less significant greenhouse gases.
  
• So the question is "where is the CO2 coming from?"
  
• The hypothesis that man-made CO2 is not the cause of global warming is not consistent with the facts. If man-made CO2 is somehow not a contributing factor, then where is the excess CO2 coming from? Those who would try to shrug global warming off as a "natural cycle" are not explaining anything. A "natural cycle" still has causes and effects that can be studied and understood, particularly when they are happening NOW and not in the ancient past.

To be fair, there have been attempts to suggest other causes for the climbing temperatures, but they are all over the map. There is no alternative explanation that has stood up to repeated independent testing, the way the human-produced CO2 explanation has.

So there it is. The ONLY consistent answer to the question of where the CO2 is coming from is human sources, primarily the energy industry burning fossil fuels.

It's inconvenient because solving the problem could reduce business profits for a while, but if we DON'T solve the problem, the global turmoil will also be bad for business.  Relatively modest changes now can reduce or prevent huge catastrophes in the future.

Five things "Digital Natives" need in Educational Technology

Today's younger generation is considered to be "digital natives" because they have
grown up with Internet/mobile technology and are highly comfortable with it.

But what are the implications of that? Should educators really treat them differently?

According to this story, a recent academic study suggests that today's students are no better at information skills simply because they grew up in the digital era. It also finds evidence that “digital natives” are no better at multitasking than other age cohorts.

So, as a teacher, I wonder what this says about instructional technology (and here I am talking about systems that go beyond PPT slides and playing YouTube videos in class).

There is a lot of research that shows that, in general, students like using technology for schoolwork.  In part, this is because they are already used to technology, and in part because it tends to lead classes away from boring lecture-memorization methodologies.

But I teach specialized technology, used for broadcasting.  Many of my students are great users of the technology, but......

If there is a problem, many of them are stymied. Some of them cannot even explain what the problem is sufficiently for me to understand it, without going to look for myself (and then I can often solve the problem in two minutes).

Then there's the recurring problem of the students who save a file, and then cannot come back and find it again, because of lack of understanding of file folder structure. That should not be college-level curriculum!

So my take is that today's generation of students is sophisticated in USE of technology, but not necessarily in UNDERSTANDING how the technology works.

Again -- what are the implications?

1. The technology used needs to be highly intuitive do it doesn't NEED figuring out.
2. Students need ample instruction in how to use it (called "induction training"). As long as it is confucing or hard to use, it will reduce their motivation.
3. Teachers need to use scaffolding -- giving high levels of technology support early, but gradually lessening the support to encourage students to become more independent and able to solve problems.
4. As much as possible, the technology needs to be cross-platform, i.e. suitable tfor desktop computers, laptops, and smartphones. Of course, this is not always possible.  My broadcasting assignments need to be done with professional hardware and software to be effective, not Garage Band. But for example, our school's Learning Management System (the only system allowed for online instruction) is just finally being updated this year to be friendly to mobile devices.
5. Teachers need to guard against mobile devices as distractions in class.  They can add to the classroom experience, such as for quick research during class discussion. But whenever a student blanks a screen or minimizes a window when the teacher walks up, you can bet that the device has been a distraction, not an learning aid.  This can be challenging because students resent being told they cannot text message during class, etc.  

I think that my particular Electronic Media program does a pretty good job of teaching the technology in a way that is not too intimidating and builds complexity step-by-step in reasonable increments.  And we'll need to, because we have new hardware and software we'll need to start using the first week.

What's this blog really about?

August is when school starts again for me, and the end of July seems like a reasonable time to reflect on the status and goals of my blog.

As it turns out, I have been making a lot of posts about politics recently, but that is not my MAIN intent with this blog.  My intent is to post as an observer -- of life and culture and things that interest me.

Academic Literature Visualizations

Here's an interesting resource for people who are actually interested in what the science shows about a given topic.

Open Knowledge Maps is an academic literature search engine, but it includes a visualization that categorizes the journal articles.  Click on one of the circles and it zooms in to show the specific articles.

Another nice thing is that it shows which articles are open access and therefore can be downloaded directly.

The example above (which I know is a little small to read), is a search on "Climate Change."

Because there are a lot of scholars out there who do NOT have access to research databases through university libraries, Open Knowledge Maps joins Google Scholar as a key way of exploring the academic literature to see what the peer reviewed scientific literature says.

Five Myths about Higher Education

©  2014 Michael Marek

Reading this article made think about myths about how education works.

Here are five myths that too many people believe about education, and particularly higher education.

Climate Change Skeptics aren't Skeptics

When it comes to science, skeptics are people who question beliefs as the result of scientific scrutiny.

On the other hand, people making political arguments professing skepticism about climate change are more likely to be non-scientific in how they reach their conclusions.

So what does a true skeptic conclude about human-caused climate change?

Failure of Conservativism

The president's withdrawal from the Paris climate treaty is not just a failure of leadership.

It is a failure to be a true conservative.

So what do I mean by a true conservative and how did he fail?

Fake News in Scholarly Publishing

I am a solid believer in science, but one of the big problems in scientific research, is "fake news", i.e. academic journals publishing fake articles about fake research findings.

To address this, more and more journals are requiring ORCID credentials to keep unscrupulous researchers from scamming the system to get publication credit they don't deserve.

Simple Thinking in a Highly Complex World

One of the defining characteristics of conservatives is that they expect things to be basically simple.  They think that once you figure out a problem, there is usually one identifiable cause, and the problem gets solved by doing one thing.  But that doesn't work out too well in a world that is highly complex, in reality.

Rejecting Ideas we Don't Like

When we receive information that conflicts with our pre-conceived notions (as happens all the time in politics), we often struggle to avoid admitting that we may have been wrong. But how does that work, exactly, and how can we overcome this resistance in others?

Educational Engineering

My latest scholarly publication is Chapter 14 of monograph published for the 25th anniversary of the English Teachers’ Association in the Republic of China (ETA-ROC), in November.

Educational Engineering for CALL and MALL, is an invited article on curriculum development, taking an engineering approach to developing outcome requirements and then engineering a theory-based system that will accomplish those outcomes.  The CALL and MALL in the title refers to Computer Assisted Language Learning and Mobile Assisted Language Learning.  But it's all Mass Communication to me.

The overall monograph, Epoch Making in English Language Teaching and Learning, is out in hard copy and CD.  I am not sure when or where it may eventually be available online, other than my pre-press version on ResearchGate.

It may be cited as:

Marek, M. W., & Wu, W. C. V. (2016). Educational Engineering for CALL and MALL. In Leung, Yiu-nam (Ed.), Epoch Making in English Language Teaching and Learning, Twenty-fifth International Symposium on English Teaching, English Teachers’ Association, Republic of China (pp. 115-125).

Research Milestones

13,000 manuscript reads for my peer-reviewed journal articles and other publications. 2,500 profile views.

A couple of nice milestones this week for my ResearchGate presence.