Temple University

About: Temple University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32154 authors who have published 64375 publications receiving 2219828 citations.

A review of predictive factors of student success in and satisfaction with online learning

Abstract: Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined including learning outcomes, instructional design and learner characteristics, followed by suggestions for further research, and concluding with implications for online learning pertinent to administrators, instructors, course designers and students. Online learning may not be appropriate for every student. Identifying particular characteristics that contribute to online success versus failure may aid in predicting possible learning outcomes and save students from enrolling in online courses if this type of learning environment is not appropriate for them. Furthermore, knowing these learner attributes may assist faculty in designing quality online courses to meet students’ needs. Adequate instructional methods, support, course structure and design can facilitate student performance and satisfaction. Keywords: online learning; learner characteristics; instructional design; online learning outcomes (Published: 27 August 2015) Responsible Editor: Meg O’Reilly, Southern Cross University, Australia Citation: Research in Learning Technology 2015, 23 : 26507 - http://dx.doi.org/10.3402/rlt.v23.26507

Judgment and Decision Making in Adolescence

Abstract: In this article, we review the most important findings to have emerged during the past 10 years in the study of judgment and decision making (JDM) in adolescence and look ahead to possible new directions in this burgeoning area of research. Three inter-related shifts in research emphasis are of particular importance and serve to organize this review. First, research grounded in normative models of JDM has moved beyond the study of age differences in risk perception and toward a dynamic account of the factors predicting adolescent decisions. Second, the field has seen widespread adoption of dual-process models of cognitive development that describe 2 relatively independent modes of information processing, typically contrasting an analytic (cold) system with an experiential (hot) one. Finally, there has been an increase in attention to the social, emotional, and self-regulatory factors that influence JDM. This shift in focus reflects the growing influence of findings from developmental neuroscience, which describe a pattern of structural and functional maturation that may set the stage for a heightened propensity to make risky decisions in adolescence.

The Simes Method for Multiple Hypothesis Testing with Positively Dependent Test Statistics

Abstract: The Simes method for testing intersection of more than two hypotheses is known to control the probability of type I error only when the underlying test statistics are independent. Although this method is more powerful than the classical Bonferroni method, it is not known whether it is conservative when the test statistics are dependent. This article proves that for multivariate distributions exhibiting a type of positive dependence that arise in many multiple-hypothesis testing situations, the Simes method indeed controls the probability of type I error. This extends some results established very recently in the special case of two hypotheses.