کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6836979 | 618424 | 2016 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Understanding students' performance in a computer-based assessment of complex problem solving: An analysis of behavioral data from computer-generated log files
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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![عکس صفحه اول مقاله: Understanding students' performance in a computer-based assessment of complex problem solving: An analysis of behavioral data from computer-generated log files Understanding students' performance in a computer-based assessment of complex problem solving: An analysis of behavioral data from computer-generated log files](/preview/png/6836979.png)
چکیده انگلیسی
Computer-based assessments of complex problem solving (CPS) that have been used in international large-scale surveys require students to engage in an in-depth interaction with the problem environment. In this, they evoke manifest sequences of overt behavior that are stored in computer-generated log files. In the present study, we explored the relation between several overt behaviors, which N = 1476 Finnish ninth-grade students (mean age = 15.23, SD = .47 years) exhibited when exploring a CPS environment, and their CPS performance. We used the MicroDYN approach to measure CPS and inspected students' behaviors through log-file analyses. Results indicated that students who occasionally observed the problem environment in a noninterfering way in addition to actively exploring it (noninterfering observation) showed better CPS performance, whereas students who showed a high frequency of (potentially unplanned) interventions (intervention frequency) exhibited worse CPS performance. Additionally, both too much and too little time spent on a CPS task (time on task) was associated with poor CPS performance. The observed effects held after controlling for students' use of an exploration strategy that required a sequence of multiple interventions (VOTAT strategy) indicating that these behaviors exhibited incremental effects on CPS performance beyond the use of VOTAT.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 61, August 2016, Pages 36-46
Journal: Computers in Human Behavior - Volume 61, August 2016, Pages 36-46
نویسندگان
Samuel Greiff, Christoph Niepel, Ronny Scherer, Romain Martin,