ماهیت دو چهره از زمان صرف شده در مشق شب: استفاده از تجزیه و تحلیل مشخصات پنهان برای پیش بینی پیشرفت تحصیلی بیش از یک سال مدرسه
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|73566||2015||10 صفحه PDF||سفارش دهید||8290 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Learning and Instruction, Volume 39, October 2015, Pages 97–106
Homework time and achievement are only modestly associated, whereas homework effort has consistently been shown to positively predict later achievement. We argue that time spent on homework can be an important predictor of achievement when combined with measures of homework effort. Latent profile analyses were applied to a longitudinal data set with 1915 eighth-grade students who had been surveyed on their homework behavior in French as a second language. There were three main findings. First, based on their values for homework time and homework effort, five distinct learning types were identified: fast learner, high-effort learner, average student, struggling learner, and minimalist. Second, latent transition analyses confirmed that these learning types were stably identified over time. Third, longitudinal analyses predicting Time 2 academic achievement indicated that time spent on homework can be associated with positive (as in the high-effort learner) and negative (as in the struggling learner) outcomes.