Serendipity35

It is known as "summer slide" - the learning loss many students experience during the summer break from school. The topic is often associated with younger students in K-12 but if you have ever taught college students or adult learners (especially in sequential courses) you have also seen it occur.

In 2020, the typical two-month recess became six months for some students because of COVID-19 class cancellations and possibly less-than-ideal attempts at online learning.

Will we see a greater slide this fall than in other years? Will a high school student whose second half of French II, Algebra, or another course be really prepared for the next course this fall? I have friends who teach in secondary schools who fully expect in the fall to have to spend the early weeks (months?) reviewing and catching students up on work before moving forward. They did this in past years, but expect a greater need for remedial instruction for fall 2020. 

When students are not engaged in learning for an extended time, they slide. It would be true if they skipped a semester of took a gap year or were ill for several months. From what I have read, this is particularly true with math, science, language, reading, and any sequential course that builds on a prerequisite.

There has been a lot of research on summer loss the past century which shows young people can lose up to several months’ worth of school-year learning over the summer break, and some studies also show that older students have greater gaps. It is particularly concerning that summer loss seems to be greatest for low-income students for a number of reasons.

There are those who question the whole idea of summer slide, but in my 45 years in classrooms (secondary, undergraduate, and graduate levels) I have seen that loss when students returned in September, even in their work and study habits. 

What is the solution? The standard answer is to keep students engaged in reading and educational activities. But every parent will tell you when school ends motivating students to do things that closely resemble schoolwork is very difficult. Plus, this year many parents were doing more schoolwork support the past few months than ever before and also want a break.

College students might be wise to use some free MOOC offerings to supplement courses from this past semester or to prepare for fall. But again, after a semester fully online, more online learning may not be very appealing.

Ask several people to define artificial intelligence (AI) and you'll get several different definitions. If some of them are tech people and the others are just regular folks, the definitions will vary even more. Some might say that it means human-like robots. You might get the answer that it is the digital assistant on their countertop or inside their mobile device.

One way of differentiating AI that I don't often hear is by the two categories of weak AI and strong AI.

Weak AI (also known as “Narrow AI”) simulates intelligence. These technologies use algorithms and programmed responses and generally are made for a specific task. When you ask a device to turn on a light or what time it is or to find a channel on your TV, you're using weak AI. The device or software isn't doing any kind of "thinking" though the response might seem to be smart (as in many tasks on a smartphone). You are much more likely to encounter weak AI in your daily life.

Strong AI is closer to mimicking the human brain. At this point, we could say that strong AI is “thinking” and "learning" but I would keep those terms in quotation marks. Those definitions of strong AI might also include some discussion of technology that learns and grows over time which brings us to machine learning (ML), which I would consider a subset of AI.

ML algorithms are becoming more sophisticated and it might excite or frighten you as a user that they are getting to the point where they are learning and executing based on the data around them. This is called "unsupervised ML." That means that the AI does not need to be explicitly programmed. In the sci-fi nightmare scenario, the AI no longer needs humans. Of course that is not even close to true today as the AI requires humans to set up the programming, supply the hardware and its power. I don't fear the AI takeover in the near future.

But strong AI and ML can go through huge amounts of data that it is connected to and find useful patterns. Some of those are patterns and connections that itis unlikely that a human would find. Recently, you may have heard of the attempts to use AI to find a coronavirus vaccine. AI can do very tedious, data-heavy and time-intensive tasks in a much faster timeframe.

If you consider what your new smarter car is doing when it analyzes the road ahead, the lane lines, objects, your speed, the distance to the car ahead and hundreds or thousands of other factors, you see AI at work. Some of that is simpler weak AI, but more and more it is becoming stronger. Consider all the work being done on autonomous vehicles over the past two decades, much of which has found its way into vehicles that still have drivers.

Of course, cybersecurity and privacy become key issues when data is shared. You may feel more comfortable in allowing your thermostat to learn your habits or your car to learn about how you drive and where you drive than you are about letting the government know that same data. Discover the level of data we share online dong financial operations or even just our visiting sites, making purchases and our search history, and you'll find the level of paranoia rising. I may not know who you are reading this article, but I suspect someone else knows and is more interested in knowing than me.

Multi-modal courses that combine online and on-ground (classroom-based, face-to-face) students have been around for more than a decade under a variety of names. Hybrid, hybrid-flexible, HyFlex, blended are all terms used for course designs that allow for some flexibility. 

Most campuses now offer online and on-ground sections of some courses. Some schools offer a hybrid course section that meets on both modes. At New Jersey Institute of Technology (NJIT) their approach has been called "converged learning." Particularly in this time of closed campuses and pandemic response, the transition to fully remote learning has been uneven on many campuses. At NJIT and many other campuses K-20 they are both preparing to welcome students back to campus in the fall and also planning for the possibility of a limited return or remaining fully online.

The goal is to deliver high-quality education in an environment safe for all members of the community. Technology-enhanced learning definitely is part of any of the possible scenarios campuses will find themselves in for the fall 2020 semester and possibly in the years that follow.

I started working at NJIT in 2000 and the university already had almost two decades of experience before the online wave of the 21st century had fully formed. NJIT created the virtual classroom in the 1980s and moved like many other colleges through the correspondence model to instructional television to content on VHS, CDs and DVDs.In 2013, converged learning became their educational model in an attempt to break down the distinction between face-to-face and remote learning.

In true converged learning, students attend the same class at the same time either in person or virtually. It allows faculty to see, interact with, and work synchronously with all students "attending class." Ideally, students have the same educational experience regardless of their physical location. Unlike registering for a course labeled as online, on-ground or hybrid, students can make that choice for any class session.

NJIT did not abandon its more traditional online learning initiatives which can accommodate students at different times and distant locations. New Jersey has been hit very hard by the pandemic and though the situation has improved and we hope to see further improvement throughout the summer, the number of students physically classrooms this fall could be reduced. The converged learning model allows students (perhaps especially those with preexisting conditions or concerns about in-person attendance) to choose when to be in a classroom and when to attend class remotely.

There has long been concern about how the academic standards will be consistent in online versus on-ground versions of a course. Converged courses have course content and learning outcomes that are independent of delivery
mode. Registration is the same way whether they want to attend by coming to the classroom, logging into the class from their dorms or nearby apartments, or joining the class from another city, state or country. Admission, registration procedures, and costs are the same regardless of the location from which they attend the class. Those in the classroom
experience the delivery of the course content as they would in a traditional class — except they are joined via synchronous streaming by other students who are taking the course from a distance, anywhere in the world.

This approach does require additional resources - from video in the classroom to teaching assistants. For example, at NJIT offline digital learning include Computer Assisted Design technology in programs of the College of Architecture and Design, Adaptive Learning software in mathematics, chemistry, and other areas. The university has needed to move further than before into the computer scoring of essays and other written forms, the automated grading of exams, and the asynchronous class management in all classes. (NJIT had been using Moodle earlier as its LMS and has now moved to Canvas.) 

This convergence of the physical campus and the virtual campus seems to be - particularly at this unusual time - to be a logical consequence of the technological transformation in higher education.

Hybrid-flexible course designs have been used successfully for more than a decade at many higher education institutions around the world with a wide variety of courses. Some schools call this “HyFlex,” The initial impetus for developing a Hybrid-Flexible approach is often a need to serve both online and on-ground students with a limited set of resources (time, faculty, space).

It is far better when the multi-modal delivery solution gives students the opportunity to choose which mode to participate in from session to session. Students then do create their own unique hybrid experience.

The free book noted here and materials online at NJIT and other campuses will give you a sense of how these flexible designs are evolving.

The change in pedagogy required of faculty in converged learning is a whole other topic to be explored and certainly builds upon what has been learned in the past decades of online learning and from the more recent use of MOOCs.

Since January 2020, COVID-19 has been the main topic of news. Despite attempts to keep health information accurate, misinformation has been put out from amateur and speculative sources all the way up to President Trump.

Facebook has been blamed along with other social media sites for allowing misinformation to spread. himself. Many websites from traditional media to social media have been trying to connect people to accurate information from health experts and keep harmful misinformation from spreading. It is a difficult task, even with the best technology, to monitor millions of users creating content every second and even more often reposting other information.

Facebook has said that they have directed over 2 billion people to resources from the World Health Organization in their "COVID-19 Information Center" and via pop-ups on Facebook and Instagram with over 350 million people clicking through to learn more.

When a piece of content is rated false by fact-checkers, they reduce its distribution and show warning labels with more context, and they can use similarity detection methods to identify duplicates of debunked stories. 

I heard on an episode of the Make Me Smart podcast that Rep. Adam Schiff (not a Facebook fan) asked other tech giants (Google, YouTube, Twitter) to follow Facebook's example by contacting users who’ve interacted with misinformation. 

This is a kind of contact tracing for misinformation. In public health contact tracing, staff work with a patient to help them recall everyone with whom they have had close contact during the timeframe while they may have been infectious. The public health staff then warn these exposed individuals (contacts) of their potential exposure as rapidly and sensitively as possible.

In public health or online protecting patient/poster and contacts is important. Generally in health situations contacts are only informed that they may have been exposed to a patient with the infection but are not told the identity of the person who may have exposed them.

YouTube announced it would add informational panels with information from its fact-checkers to videos in the US, an expansion of a program it launched in India and Brazil last year.

Twitter introduced its COVID-19 content policies earlier this month, which require users to remove tweets with content that includes misinformation about coronavirus treatments or misleading content meant to look like it’s from authorities and recently updated their policy to encompass tweets that may “incite people to action and cause widespread panic, social unrest or large-scale disorder,” such as burning 5G towers.