Had some fun making flyers for my Technology, Culture, and Education course. These are the topics we'll be covering!
I've been a member of Gamespot - a website dedicated to news and discussion on videogames - since 2003. My rank on it is Super Bagman (Level 23), which I gather isn't particularly high, since the site suggests you can go up to at least Level 71. I also have a list of achievements for having done mundane things, such as registering for the site, voting for the game of the year, and being a "New Game Ninja," whatever that means.
The details about levelling up in rank isn't displayed prominently, so I had to do some digging around to find it. Here's a passage that gives you some idea of what levelling up means:
To level up on GameSpot, all you need to do is to spend your time here. The levelling system exists in order to encourage users to come back to the site, and enjoy using it, in whatever way they want. This means there is really no set method of levelling up.
Common ways of spending time here include but are not limited to: visiting the forums, posting, reading articles and blogs, watching videos, updating your profile etc. It is factors such as these which contribute towards a user's activity level, and thus, their level itself.
This is gamification. It's basically a way of using symbols (badges, titles, ranks, levels, etc.) to signify your status in a community. In broader terms, it is used to encourage certain behaviors, such has developing healthy habits, or quitting bad ones.
The book I've been working on in the past year - The Work of Play: Meaning-making in Videogames - has been published last week.
Here's the book in a nutshell:
In a chapter published in the Handbook of Research on New Literacies, Constance Steinkuehler (2008) argues that "we need a more robust account of meaning-making process itself." In this book, I've attempted to respond to that call for research by using a sociological approach that's been used in human-computer interaction studies. A common way of studying games today is through pre- and post-test studies, using quantitative methods to study variables that might impact gameplay. While these studies have been important to the field, they are limited by their ability to describe the actual process of gameplay itself, or respond to why it is that these variables impact gameplay. Moreover, many videogames are designed to be played for hours, not minutes, and players' relationships with games change over these long periods of time. Play has become a "black box" that we seldom look into and, in some case, are not interested in studying, because it's a mess to describe.
The approach used in the book was used by Lucy Suchman when she was at the Xerox Palo Alto Research Center, studying users following instructions in photocopiers. She found out that the interaction between users and machines can be described as a turn-taking mechanism, during which both parties (the user and the designer) have expectations for how the other processes meaning. When meanings are congruent, then the interaction proceeds smoothly; but Suchman had noticed that when communication breaks down, it is due to one or both parties making inaccurate assumptions that instructions were correctly followed, during which time the user will have to figure out where along the interaction did meaning become unclear.
The book explores games along the same lines, focusing on how players interact with one another (how meanings are developed between players) and how players interact with the game design. Some key findings described in the book are:
- Players can misunderstand aspects of the game design and still proceed with the play with little to no impediment. This forces us to question how is it that we can ensure the intended game meaning is communicated accurately to players. In commercial games, this is seldom a problem because the key goal is for the players to have fun, however they choose to define meaning. In educational or serious games, this becomes more of a concern because we don't want players to walk away with the wrong message.
- Players develop meanings independent of the game design. Even while interacting within the design of the game, players are actively looking for meaning, especially in situations where they are playing with one another. The games I describe in the book are fighting games, which are ideal for players who want to play in a group. I noticed that players found creative ways of developing meanings that were unique to themselves, and found ways of defining aspects of gameplay that were important to them, e.g. cheating vs. fairness.
- Meaning-making is not a static process. Meanings change over time. The more time they spend with the game, the more they can incorporate information in the game. Since this is a qualitative study, I was able to describe these changes over long stretches of time as well as on a moment-to-moment basis.
- The way players talk about games after playing differs from the way they talk about it while they are playing. It's not that they lie or are forgetful, but that the post hoc discussion is essentially a "reconstruction" of an event that leaves out potentially important aspects of their experience.
The book builds on the work of many game researchers in the field. It is also interdisplinary in its approach, drawing in research in sociology, anthropology, computer science, human-computer interacton, linguistics, and educational game research. I hope this research appeals to anyone in the field of games research. If you happen to read it, I look forward to any feedback and criticism you may have.
"Just-in-time (JIT) learning" is the newish buzzword you hear often in association with video games and learning. It's a deceptively simple idea suggesting that learning is better when it is "on-demand." You encounter a problem, you're given the information to solve it, and you solve it then and there. No need to memorize a set of facts ahead of time that you may or may not use in the future, no need for abstract concepts that have no bearing on the immediate demands of the situation, no need for decontextualized facts and figures. As far as I know, this concept is assumed to be right and I have never seen the concept criticized before, but I'm going to go ahead and say: I have a problem with JIT learning on two levels: 1) It's overly vague and 2) It often doesn't work.