Using educational data mining methods to assess field-dependent and field-independent learners' complex problem solving

  • Angeli C
  • Valanides N
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Abstract

The present study investigated the problem-solving performance of 101 university students and their interactions with a computer modeling tool in order to solve a complex problem. Based on their performance on the hidden figures test, students were assigned to three groups of field-dependent (FD), field-mixed (FM), and field-independent (FI) learners, and were instructed to use integrated-format materials and Model-It in order to solve a problem about immigration policy. The results showed that there were significant differences among the three groups of learners in terms of their problem-solving performance. Consequently, the study employed educational data mining (EDM) methods in order to examine how FD and FI learners actually interacted with Model-It in order to solve the problem. The EDM methods provided rich analytical information and details about learners' interactions with the computer tool. Implications for designing effective joint cognitive systems are discussed. [ABSTRACT FROM AUTHOR]

Author-supplied keywords

  • Computer simulation
  • Computers in education -- Research
  • Data mining
  • Emigration & immigration -- Government policy
  • Field dependence (Psychology) -- Research
  • Learning -- Research
  • Problem solving -- Evaluation
  • Problem solving -- Research

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Authors

  • Charoula cangeli ucy ac cy Angeli

  • Nicos n valanides frederick ac cy Valanides

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