کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350782 618457 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Level of interactivity and executive functions as predictors of learning in computer-based chemistry simulations
ترجمه فارسی عنوان
سطح تعامل و عملکرد اجرایی به عنوان پیش بینی کننده یادگیری در شبیه سازی شبیه سازی کامپیوتری
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Effects of executive functions and instructional format on learning were examined.
• With less complex simulations, students learned best with exploratory approach.
• With complex simulations, executive functions interact with instructional approach.
• Low executive functions students learned best with worked approach.
• High executive functions students learned best with exploratory approach.

High school students’ learning outcomes was examined comparing exploratory vs. worked simulations. The effects of added icons and students’ executive functions were also examined. In Study 1, urban high school students (N = 84) were randomly assigned to one of four versions of a web-based simulation of kinetic molecular theory that varied in instructional format (exploratory vs. worked simulation) and representation (added icons vs. no added icons). Learning was assessed at two levels: comprehension and transfer. For transfer, a main effect was found for instructional format: the exploratory condition yielded greater levels of transfer than the worked simulation. Study 2 used the same conditions and a more complex simulation, the ideal gas law, with a similar sample of students (N = 67). For transfer, an interaction between instructional format and executive functions was found: Whereas students with higher levels of executive functions had better transfer with the exploratory condition, students with lower levels of executive functions had better transfer with the guided simulations. Results are discussed in relation to current theories of instructional design and learning.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 36, July 2014, Pages 365–375
نویسندگان
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