Chess Coaches, Teachers of Higher Ed., and Mobile Technology
Wednesday, July 14th, 2010In the New York Times book review “The Chess Master and the Computer,” former world chess champion Gary Kasparov outlines the history of chess grandmasters vs. computers and what that history has revealed about humans’ and computers’ capabilities. Some of his observations offer us possible insights not just about chess, but also about teaching and learning.
Kasparov was the world champion who oversaw the dramatic transformation of technology that has lead to computers’ surpassing humans in the game of chess. He has worked closely with programmers both to develop computers’ capabilities and to challenge them. In 1997, Kasparov lost the human vs. computer battle — but to the dismay of A. I. advocates, not via computer self-consciousness.
This difference between computer processing and human reflective thinking has produced some interesting chess experiments. In 1998, Kasparov hosted and participated in a computer-assisted tournament. Each player had access to the software of his choice. In Kasparov’s words,
Having a computer partner also meant never having to worry about making a tactical blunder. The computer could project the consequences of each move we considered, pointing out possible outcomes and countermoves we might otherwise have missed. With that taken care of for us, we could concentrate on strategic planning instead of spending so much time on calculations. Human creativity was even more paramount under these conditions.
Kasparov discovered the extent to which his advantage in chess depended on his having the upper hand in memory and performing calculations with fewer errors. As Kasparov explains of his games with Veselin Topalov, “since we both had equal access to the same database, the advantage [now] came down to creating a new idea at some point.”
We all know that technology levies an equalizing force onto performance. I will never forget exam monitors’ checking the aisles for hidden calculators. In fact, I have a confession. My memories of exam monitors encourage me to refer to the above tournament as “assisted chess,” as if an unassisted game were somehow tougher or a more authentic measurement of capabilities. The real title of the tournament, however, was “Advanced Chess.” And the tournament took place twelve years ago.
Kasparov is discussing a new era, an era in which computer assistance is not cheating — and moreover, is expected. We live in a world not only of ever-improving immediate access to vast information and processing capabilities. We live in a world also in which we demand from each other immediate recourse to more than the human mind can memorize or process. This new era has brought about more than new learning objectives and pedagogies in chess — or in the college classroom. It has promoted changes in the way the human mind performs even an “unassisted” game — or unassisted learning.
Schools of thought have broken down. Bricolage has become the norm. According to Kasparov,
The heavy use of computer analysis has pushed the game itself in new directions. The machine doesn’t care about style or patterns or hundreds of years of established theory. It counts up the values of the chess pieces, analyzes a few billion moves, and counts them up again. (A computer translates each piece and each positional factor into a value in order to reduce the game to numbers it can crunch.) It is entirely free of prejudice and doctrine and this has contributed to the development of players who are almost as free of dogma as the machines with which they train. Increasingly, a move isn’t good or bad because it looks that way or because it hasn’t been done that way before. It’s simply good if it works and bad if it doesn’t. Although we still require a strong measure of intuition and logic to play well, humans today are starting to play more like computers.
This loss of allegiances, norms, or even what an older generation might refer to as “standards of play” has not impeded the younger generation. On the contrary, players reach the level of grandmaster at younger and younger ages — and not because of their unparalleled genius:
Bobby Fischer’s 1958 record of attaining the grandmaster title at fifteen was broken only in 1991. It has been broken twenty times since then, with the current record holder, Ukrainian Sergey Karjakin, having claimed the highest title at the nearly absurd age of twelve in 2002. Now twenty, Karjakin is among the world’s best, but like most of his modern wunderkind peers he’s no Fischer, who stood out head and shoulders above his peers—and soon enough above the rest of the chess world as well.
Technology has leveled the playing field by facilitating access to information. Even in areas where there are not a lot of chess players, children pick up the game online. The normal child whose attention span is not ready for complicated books on chess tactics or theory still learns that information, only now in more abbreviated forms on websites and in podcasts. On their own, children study parts of games. When it comes to study, their attention is limited. But in the name of their entertainment, they assemble those parts into wholes.
What about in the learning of course material for a college class? I’ve known students who watched YouTube podcasts to gleam information they didn’t adequately understand in the classroom. Some have admitted openly to relying more on random, online content than on their professors or textbooks — because they didn’t understand or were bored by those more traditional engagements with the material.
But what about students’ accessing the internet on their phones or laptops during a lecture? What if they’re on Facebook?
I have an interesting anecdote to relate. My sister-in-law is an undergraduate at a different university. One morning she initiated a live chat with me through Facebook by asking a question about a particular philosophy. After telling her that I didn’t know the philosophy but would look it up, I started with Wikipedia and then worked my way up to quick skims in Google Scholar to provide her with a piecemeal answer that at least acknowledged some debate — and then sent her links so she could research the nuances more fully on her own. Our online conversation took less than ten minutes with a lot of extended pauses. When I asked her if she was writing a paper on the subject, she said no, that she was currently in class, the professor had mentioned the philosophy as if everyone knew what he was talking about, and she needed a little more information in order to understand the rest of what he was saying.
This is not an entirely isolated incident. I’ve had multiple law-school friends initiate online chats with me while they were in class — usually to debate about real-time course content because the lecture format prohibited them from immediately discussing or challenging the professor’s statements.
There are a plethora of negative and positive ways of describing these occurrences. Maybe my sister-in-law and law-school friends have grown so accustomed to immediate satisfaction that they lack the attention span for sustained engagements with a lecture. Perhaps their experiences with mobile technology have enabled them to acquire the multitasking skills for multiple, simultaneous engagements with the course content. Possibly they prefer social learning to more solitary experiences like that of sitting quietly in a lecture. Maybe they’re bad students. Maybe they are taking a more active approach to their learning. Perhaps they are developing a more nuanced understanding. Possibly their multitasking is forcing them to miss the overarching narrative forest for incidental trees.
Just as with daydreaming, their online activities might cause them to lose track of the course narrative, a particular theory, or a greater concept. However, maybe they’ll pull their disjointed understandings together when confronted with an engaging objective.
If their attention is limited, but in the name of their entertainment they’ll assemble those parts into wholes, then maybe the pedagogical response isn’t necessarily to restrict “assisted” learning in the classroom. If we prohibit their digital escapism, then not only do we increase the likelihood of their mentally shutting down (daydreaming) during the lecture. We also eliminate the possibility of their escaping to more engagements with course content.
