Measuring problem solving skills via stealth assessment in an engaging video game

نویسندگان

  • Valerie J. Shute
  • Lubin Wang
  • Samuel Greiff
  • Weinan Zhao
  • Gregory R. Moore
چکیده

We used stealth assessment, embedded in a game called Use Your Brainz (a slightly modified version of Plants vs. Zombies 2), to measure middle-school students’ problem solving skills. We began by developing a problem solving competency model based on a review of the relevant literature. We then identified ingame indicators that would provide evidence about students’ levels on various problem-solving facets. Our problem solving model was then implemented in the game via Bayesian networks. To validate the stealth assessment, we collected data from students who played the game-based assessment for three hours and completed two external problem solving measures (i.e., Raven’s Progressive Matrices and MicroDYN). Results indicated that the problem solving estimates derived from the game significantly correlated with the external measures, which suggests that our stealth assessment is valid. Our next steps include running a larger validation study and developing tools to help educators interpret the results of the assessment, which will subsequently support the development of problem solving skills. © 2016 Elsevier Ltd. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Measuring Problem Solving Skills in Plants vs. Zombies 2

We are using stealth assessment, embedded in Plants vs. Zombies 2, to measure middle-school students’ problem solving skills. This project started by developing a problem solving competency model based on a thorough review of the literature. Next, we identified relevant in-game indicators that would provide evidence about students’ levels on the various problem-solving facets. Our problem solvi...

متن کامل

Stealth Assessment of Problem-Solving Skills from Gameplay

Stealth assessment represents a promising way to address the needs of validly measuring and supporting important 21st century competencies (e.g., creativity, problem solving) within interactive digital environments (e.g., video games). The assessment is woven into the environment such that it becomes invisible to students, which is conducive to eliciting targeted competencies (Shute, 2011). Ste...

متن کامل

Best Practices and Lessons Learned of Stealth Assessment

Stealth assessment provides an innovative way to assess and ultimately support knowledge, skills, and other personal attributes within learning or gaming environments without disrupting students’ flow. In this paper, we briefly discuss two challenges we encountered during the development of stealth assessments in two past projects (i.e., utility issues related to log files and validation issues...

متن کامل

Using video games to combine learning and assessment in mathematics education

One problem with most education systems is that learning and (summative) assessment are generally treated as quite separate things in schools. We argue that video games can provide an opportunity to combine these processes in an engaging and effective way. The present study focuses on investigating the effectiveness and the assessment power of two different mathematics video games, Semideus and...

متن کامل

Inducing Stealth Assessors from Game Interaction Data

A key untapped feature of game-based learning environments is their capacity to generate a rich stream of fine-grained learning interaction data. The learning behaviors captured in these data provide a wealth of information on student learning, which stealth assessment can utilize to unobtrusively draw inferences about student knowledge to provide tailored problem-solving support. In this paper...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computers in Human Behavior

دوره 63  شماره 

صفحات  -

تاریخ انتشار 2016