The popularity of Facebook and other online social-networking sites has led to research on the potential risks of use, including Internet addiction. Previous studies have reported that between 8 percent and 50 percent of college students report problems consistent with Internet addiction. The current study assessed a range of variables related to Facebook use, and sought to determine how the use of Facebook relates to problematic Internet use. Undergraduate participants (N=281, 72 percent women) completed a battery of self-report measures, including the Internet Addiction Test, via an online interface. The results of the current study suggest that a sizable minority of students experience problems related to Internet use and that the use of Facebook may contribute to the severity of symptoms associated with Internet addiction.

The testing effect refers to the benefits to retention that result from structuring learning activities in the form of a test. As educators consider implementing test-enhanced learning paradigms in real classroom environments, we think it is critical to consider how an array of factors affecting test-enhanced learning in laboratory studies bear on test-enhanced learning in real-world classroom environments. This review discusses the degree to which test feedback, test format (of formative tests), number of tests, level of the test questions, timing of tests (relative to initial learning), and retention duration have import for testing effects in ecologically valid contexts (e.g., classroom studies). Attention is also devoted to characteristics of much laboratory testing-effect research that may limit translation to classroom environments, such as the complexity of the material being learned, the value of the testing effect relative to other generative learning activities in classrooms, an educational orientation that favors criterial tests focused on transfer of learning, and online instructional modalities. We consider how student-centric variables present in the classroom (e.g., cognitive abilities, motivation) may have bearing on the effects of testing-effect techniques implemented in the classroom. We conclude that the testing effect is a robust phenomenon that benefits a wide variety of learners in a broad array of learning domains. Still, studies are needed to compare the benefit of testing to other learning strategies, to further characterize how individual differences relate to testing benefits, and to examine whether testing benefits learners at advanced levels.

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