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Barbara Means
Researcher at SRI International
Publications - 59
Citations - 9109
Barbara Means is an academic researcher from SRI International. The author has contributed to research in topics: Educational technology & Academic achievement. The author has an hindex of 31, co-authored 56 publications receiving 8494 citations.
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Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies
TL;DR: The meta-analysis of empirical studies of online learning found that, on average, students in online learning conditions performed better than those receiving face-to-face instruction, and suggests that the positive effects associated with blended learning should not be attributed to the media, per se.
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The Effectiveness of Online and Blended Learning: A Meta-Analysis of the Empirical Literature
TL;DR: In this paper, the authors concluded that distance learning technologies do not differ significantly from regular classroom instruction in terms of learning out-comcomverage, and concluded that these technologies did not benefit significantly from traditional classroom instruction.
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Changing how and what children learn in school with computer-based technologies.
TL;DR: It is concluded that further research is needed to identify the uses that most effectively support learning and the conditions required for successful implementation of these uses.
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The influence of positive affect on decision-making strategy.
Alice M. Isen,Barbara Means +1 more
TL;DR: This article investigated the influence of a positive feeling state on the decision-making process involved in choosing one alternative from among a group of items and found that positive-affect subjects were less likely than were control subjects to review information they had already looked at, and were more likely to ignore information considered unimportant.
Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief
TL;DR: This issue brief is intended to help policymakers and administrators understand how analytics and data mining have been—and can be—applied for educational improvement.