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本文采用文献研究和因子分析法建立评价指标体系,选取我国生态治理中具有代表性的区域--陕西省,运用DEA-Malmqusit方法测算了2004至2014年间生态经济治理优化决策效率。采用output-SBM模型对2014年我国31个省份的生态经济治理优化决策效率进行测算。结果表明,陕西省的生态经济治理优化决策效率呈下降趋势;中、西部省份生态经济治理优化决策效率整体不及东部省份的效率值;东部省份在森林蓄积量和保护区面积占辖区面积比重两个产出指标存在产出不足现象,中、西部省份在人均水资源量和工业废水排放量两个产出指标存在产出不足现象。 相似文献
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As a Web 2.0 technology, blogs are gaining attention as useful knowledge sharing platforms for knowledge management in a collaborative work environment. This study investigates the relationship between trust and bloggers’ knowledge sharing practices. Based on an analysis of results from the 485 survey respondents, the research found that there is the positive relationship between bloggers’ trust and their knowledge sharing practices. This study explores trust in multiple dimensions including economy-based trust, trust in bloggers, and trust in the Internet and trust in blog providers. The detailed research findings are presented. 相似文献
664.
以S高校为例,对标《中等职业教育专业师范生教师职业能力标准(试行)》,调查分析专升本职教师范生职业能力现状和培养状况。结果表明,职教师资培养院校在培养过程中存在培养目标契合度不够、教师教育与学科专业教育课程割裂、跨界协作欠稳固、师资队伍双师素质缺乏等问题。因此,职教师资培养院校应以“三性”培养为主线,深化高本“三二分段”职教师资联合培养;以专业发展为导向,增强教师教育课程与学科专业教育课程的契合度;以实践技能为重点,构建稳固深层的跨界协作培养模式;以双师素质为基础,加强教师队伍专业素质能力建设。 相似文献
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关于黑洞事件视界和它的Rindler视界相接触时的讨论 总被引:1,自引:1,他引:0
文章从零超曲面方程出发得出:匀加速直线运动的动态黑洞时空存在两个视界──黑洞的事件视界和它的Rindler视界.并着重对二视界相接触时的行为进行了讨论. 相似文献
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我国老一辈篮球名人的技术特长构成了当时我国篮球的风格,为我国和世界的篮球发展做出了重要贡献;他们能把握篮球运动自身发展的客观规律,形成具有中国特色的篮球理论观点和训练管理体系,为我国竞技篮球创造辉煌。本文的研究希望能对我国篮球运动的可持续发展起到积极的推动作用,走一条符合中国特色的篮球发展之路。 相似文献
669.
Qi Xia Thomas K. F. Chiu Ching Sing Chai Kui Xie 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(4):967-986
The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self-regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self-determination theory (SDT). In this study, we examine the mediating effects of needs satisfaction in SDT on the relationship between students' previous technical (AI) and disciplinary (English) knowledge and SRL, using an AI conversational chatbot. Data were collected from 323 9th Grade students through a questionnaire and a test. The students completed an AI basic unit and then learned English with a conversational chatbot for 5 days. Confidence intervals were calculated to investigate the mediating effects. We found that students' previous knowledge of English but not their AI knowledge directly affected their SRL with the chatbot, and that satisfying the need for autonomy and competence mediated the relationships between both knowledge (AI and English) and SRL, but relatedness did not. The self-directed nature of SRL requires heavy cognitive learning and satisfying the need for autonomy and competence may more effectively engage young children in this type of learning. The findings also revealed that current chatbot technologies may not benefit students with relatively lower levels of English proficiency. We suggest that teachers can use conversational chatbots for knowledge consolidation purposes, but not in SRL explorations.
Practitioner notes
What is already known about this topic- Artificial intelligence (AI) technologies can potentially support students' self-regulated learning (SRL) of disciplinary knowledge through chatbots.
- Needs satisfaction in Self-determination theory (SDT) can explain the directive process required for SRL.
- Technical and disciplinary knowledge would affect SRL with technologies.
- This study examines the mediating effects of needs satisfaction in SDT on the relationship between students' previous AI (technical) and English (disciplinary) knowledge and SRL, using an AI conversational chatbot.
- Students' previous knowledge of English but not their AI knowledge directly affected their SRL with the chatbot.
- Autonomy and competence were mediators, but relatedness was not.
- Teachers should use chatbots for knowledge consolidation rather than exploration.
- Teachers should support students' competence and autonomy, as these were found to be the factors that directly predicted SRL.
- School leaders and teacher educators should include the mediating effects of needs satisfaction in professional development programmes for digital education.
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