"Based on a student's responses to various situations that come up during the course of playing a video game, the game itself can be programmed to assess where that student might be especially strong or weak in core competencies," Shute said. "The game can then adapt its content so that the student is exposed to more or less information in that area. And it continues to assess the student's progress to determine how well he or she is learning the embedded concepts and skills.
"So in theory, not only can these stealth-assessment games measure a student's current level of knowledge in a given area, they can also determine areas where that student needs to improve and then help him or her to make those improvements, using feedback, maybe easier problems, and so on," Shute said. "In that sense, it can be a fantastic learning tool as well as an assessment tool."
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"Essentially, the patent is for a computer algorithm that we developed," she said. "The algorithm applies 'weights' to a student's responses to specific tasks within a game, then uses those weights to measure proficiency levels. With that information, the game knows whether to assign additional tasks to the student in a particular area or move on to another area."
"After almost 25 years of working on ways to use computers to enhance learning, I'm delighted to see that the concept of stealth assessment appears to be making some serious headway," Shute said. "It's important that we change the way education thinks about what competencies are important to support in students (that we're not currently doing) to yield excellent global citizens. We also need to develop new kinds of assessments to capture and make sense of this new information. 2ff7e9595c
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