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When allowed to do what we want to do, we are most likely to revert to whatever we previously found enjoyable and/or successful.

Without reflection, learning ends "well short of the re-organization of thinking that 'deep' learning requires" (Ewell, 1997, p.9).

Carole Ames of Michigan State University points out that it isn’t “quantitative changes in behavior” – such as requiring students to spend more hours in front of books or worksheets – that help children learn better.  Rather, it’s “qualitative changes in the ways students view themselves in relation to the task, engage in the process of learning, and then respond to the learning activities and situation.”  In turn, these attitudes and responses emerge from the way teachers think about learning and, as a result, how they organize their classrooms.  Assigning homework is unlikely to have a positive effect on  any of these variables.  We might say that education is less about how much the teacher covers than about what students can be helped to discover – and more time won’t help to bring about that shift.

Finally, any theoretical benefit of practice homework must be weighed against the effect it has on students’ interest in learning.  If slogging through worksheets dampens one’s desire to read or think, surely that wouldn’t be worth an incremental improvement in skills.

It is useful to think of embodied learning (“M-BOD”), as Gee conceives it, as a dimension of EL since the pedagogy constructs learning as active and interactive, but it would be a mistake to conflate the concepts. M-BOD is a framework, a set of principles, for understanding how people become motivated to engage and re-engage cognitively challenging tasks--to "practice" at something--but this is not thinkable as an operation of (again in Fenwick's words) an "autonomous rational knowledge-making self, disembodied, rising above the dynamics and contingency of experience." Condensing and simplifying some of Gee's ideas, I came up with the hypothesis that practice is pleasurable when it involves people in making choices that reward them somehow--choices about who to be: (imaginative projection: some participation in story-telling or drama) what the rules are (game recognition: the mental labor of identifying problems and how to solve them) how to adapt (or improvise on) the rules to suit a particular context (game elaboration: some kind of recoding of some elements of the game)

Far more than books or movies or music, games force you to make decisions. Novels may activate our imagination, and music may conjure up powerful emotions, but games force you to decide, to choose, to prioritize. All the intellectual benefits of gaming derive from this fundamental virtue, because learning how to think is ultimately about learning to make the right decisions: weighing evidence, analyzing situations, consulting your long-term goals, and then deciding…. Those decisions are …predicated on two modes of intellectual labor that are kept to the collateral learning of playing games. I call them probing and telescoping (41) Probing: you have to probe the depths of the game’s logic to make sense of it and like most probing expeditions, you get result by trial and error, by stumbling across things, by following hunches (42-3) Telescoping is managing…simultaneous objectives… you can’t progress far in a game if you simply deal with the puzzles you stumble across; you have to coordinate them with the ultimate objectives on the horizon...Telescoping is about constructing the proper hierarchy of tasks and moving through the tasks in the correct sequence. It’s about perceiving relationships and determining priorities (54-55).

This taxonomy of learning behaviors can be thought of as “the goals of the learning process.” That is, after a learning episode, the learner should have acquired new skills, knowledge, and/or attitudes.

Analysis: Separates material or concepts into component parts so that its organizational structure may be understood. Distinguishes between facts and inferences. Examples: Troubleshoot a piece of equipment by using logical deduction. Recognize logical fallacies in reasoning. Gathers information from a department and selects the required tasks for training. Key Words: analyzes, breaks down, compares, contrasts, diagrams, deconstructs, differentiates, discriminates, distinguishes, identifies, illustrates, infers, outlines, relates, selects, separates. Synthesis: Builds a structure or pattern from diverse elements. Put parts together to form a whole, with emphasis on creating a new meaning or structure. Examples: Write a company operations or process manual. Design a machine to perform a specific task. Integrates training from several sources to solve a problem. Revises and process to improve the outcome. Key Words: categorizes, combines, compiles, composes, creates, devises, designs, explains, generates, modifies, organizes, plans, rearranges, reconstructs, relates, reorganizes, revises, rewrites, summarizes, tells, writes. Evaluation: Make judgments about the value of ideas or materials. Examples: Select the most effective solution. Hire the most qualified candidate. Explain and justify a new budget. Key Words: appraises, compares, concludes, contrasts, criticizes, critiques, defends, describes, discriminates, evaluates, explains, interprets, justifies, relates, summarizes, supports.

As school districts across the country have faced budget gaps, they’ve been forced to cut back. Schools are eliminating programs and cutting teaching jobs and salaries – it’s clear that the U.S. public education system is facing problems. But Wozniak thinks that school systems have not “adapted to children’s needs,” and that computers could help to fill these gaps. Additionally, they could help schools save money. “If you had 30 teachers in a class with 30 students, they’d all get individual attention and be moving at their own paces,” Wozniak said. “So I think someday a computer could possibly be a teacher.”

“School in itself is pretty much a restrictive force on creativity,” he said. “When you come to class, you do the exact same pages in the book, the same hours as everyone else in the class. You don’t go off in your own little directions. This is not the way of the future.”

New technologies are beginning to mimic the capabilities of humans more than ever before. While technology and education experts agree that teachers won’t be replaced by robots anytime soon, computers have helped schools to make strides in student progress and achievement over the past few years. Tools like interactive online education platforms and online courses have demonstrated success, while also helping school districts save money. But to pinpoint successful educational technology, interactivity is key.