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151.
Daniel Levy 《Higher Education》1982,11(6):607-628
Funding policies for higher education differ greatly from nation to nation and one of the major debates concerns the private-public mix. Five principal patterns emerge from the following variables: whether the system is comprised of just one sector or dual private-public sectors, the size of each sector (if there are dual sectors), the contribution of private funds to each sector, and the contribution of public funds to each sector. Beyond their defining empirical characteristics, each pattern is based on distinctive historical and normative rationales. Each therefore faces different policy choices within the more general private-public debate, although certain basic value questions commonly arise. Seen in comparative perspective, the United States continues to stand out for its significant dependence on private finance. This is because, compared to other developed nations, the United States still has an exceptionally large private sector with relatively great private finance and because, compared to almost all countries, the U.S. public sector also attracts substantial private income. There is great variation, however, and individual U.S. state systems may find useful counterparts to their empirical realities and policy dilemmas in certain foreign (national) systems. 相似文献
152.
Kristen E. DiCerbo Yuning Xu Roy Levy Emily Lai Laura Holland 《Educational Assessment》2017,22(4):275-297
Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students’ processes as they progress through learning activities. These data have the potential to yield information about student cognition if methods can be developed to identify and aggregate evidence from diverse data sources. This work demonstrates how data from multiple carefully designed activities aligned to a learning progression can be used to support inferences about students’ levels of understanding of the geometric measurement of area. The article demonstrates evidence identification and aggregation of activity stream data from two different digital activities, responses to traditional assessment items, and ratings based on observation of in-person non-digital activity aligned to a common learning progression using a Bayesian Network approach. 相似文献
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