This study examines the transferability of results from previous studies of simulation-based curriculum in introductory statistics using data from 3,500 students enrolled in an introductory statistics course at Montana State University from fall 2013 through spring 2016. During this time, four different curricula, a traditional curriculum and three simulation-based curricula, were used. Student success rates and understanding of six key statistical concepts are compared among these curricula using mixed logistic regression. Results indicate that after controlling for salient covariates, differences in student success rates are minimal while student understanding under the simulation-based curricula are similar to or better than student understanding under the traditional curriculum suggesting simulation-based curricula may help increase student understanding of several key statistical concepts.
First published May 2018 at Statistics Education Research Journal Archives
In an effort to mitigate severe environmental problems, the Chinese government introduced ecological agriculture as an approach to sustainable grain production. One such method heavily employed in the Northern Plains of China is agroforestry. This region provides a unique case to assess the effect of agroforestry on agricultural output. This paper estimates a production function with a measure for forest cover to test the hypothesis that agroforestry makes a positive and significant contribution to agricultural output. Evidence shows that the effects of agroforestry on agricultural output are positive, though not always significant. This finding is relevant not only to Chinese agriculture, but also in answering the question of how agricultural sustainability can be accomplished in the long term. With increasing populations and decreasing opportunities for land expansion globally, agroforestry is one answer to improving agricultural growth.
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