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大数据环境下情报工程师的素质结构与培养模式 被引量:18

Analysis on the Quality Structure and Cultivating Model of Intelligence Engineers in the Big Data Era
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摘要 [目的/意义]在借鉴"卓越工程师教育培养计划"的基础上,提出情报工程师的培养设想。[方法/过程]在阐述情报工程学的内涵和情报工程教育的目标之后,依据现有情报人才教育的层次、方向和目标,进一步提出情报工程师的培养层次、方向和目标,并确定情报工程师应有的素质结构及其内涵。构建基于"知行融合,多方协同"的情报工程师培养模式,探讨课程内容的选择、课程体系的设置、教学模式的运用。[结果/结论]提出多方协同构建情报工程教育的教学、实践和研究创新共同体。 [Purpose/significance ] Referring to "a plan for educating and training outstanding engineers", the pres- ent study puts forward the concept of excellent intelligence engineers' training. [ Method/process] After introducing the connotation and educational goals of intelligence engineering, and according to the educational levels, orientation and goals of the educational system of information science, this article proposed the intelligence engineer' s training methods, directions, goals and ascertains their quality structure and capabilities. Then we constructed the cultivating model of intelligence engineers by combining the theory with practice and multi-party cooperation. The present study also discussed the choice of curriculum contents, the deployment of the curriculum system and applying teaching models. [ Result/conclusion ] In the end, this article puts forward that we should cooperate to construct the innovation community of intelligence engineers' education in teaching, practice and research.
作者 张家年
出处 《图书情报工作》 CSSCI 北大核心 2016年第1期12-18,25,共8页 Library and Information Service
基金 中国科技信息研究所院校合作项目"情报工程学"研究成果之一
关键词 大数据情报工程学 情报工程师 素质结构 培养模式 big data intelligence engineering intelligence engineer quality structure training model
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