论合作创新网络对企业吸收能力的培养和提升     

陈宇科  孟卫东  皮星 《科技管理研究》2010,30(4)

针对企业吸收能力的培养问题,在详细论述吸收能力的两个主要部分——潜在吸收能力和现实吸收能力的基础上,分析合作创新网络对企业吸收能力的影响,并给出企业利用合作创新网络培养和提升吸收能力的对策建议。  相似文献   

优化学术类期刊栏目设置的思考   总被引：5，自引：4，他引：1  

陈华平  黄达晶  韩玉科  袁醉敏 《中国科技期刊研究》1999,10(4):279-280

针对目前学术类期刊栏目设置存在的问题,论述了拓展优化栏目设置的重要性,通过与技术类期刊栏目设置的比较,指出学术类期刊栏目设置的特点,以及栏目构建、优化的依据和基本思路,分析了栏目命名的原则和种类.根据栏目性质和作用的不同,将栏目分为主栏和配套栏;根据出现的频率大小,将栏目分为常设栏目和动态栏目.并阐述了这些栏目的特点、作用以及相互之间的关系.提出学术类期刊栏目设置的基本框架.  相似文献   

果树病毒病的防治          下载免费PDF全文

柴素芬 《惠州学院学报》1999,(4)

本文讨论了柑桔、苹果枣、葡萄、番木瓜等果树病毒病的种类及防治措施．  相似文献   

我国篮球名人技术特长研究     

柴建设  付小兴 《体育文化导刊》2008,(11)

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   

The mediating effects of needs satisfaction on the relationships between prior knowledge and self-regulated learning through artificial intelligence chatbot     

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.

What this paper adds

• 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.

Implications for practice and/or policy

• 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.

  相似文献   

公交站名播报显示与自动门控综合系统设计     

李宇腾  柴怡文  付瑞玲 《黄河科技大学学报》2022,24(5):52-56

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