本月官方发布行业重要事件,日本大学生的独特学习模式：大一大二大三一起读？

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本周数据平台本月监管部门通报最新动态:本周监管部门公开新进展,日本大学生的独特学习模式：大一大二大三一起读？

日本，这个古老而又现代的国度，在教育领域也有着其独特的传统和现代相结合的特点。其中，最引人注目的便是日本大学生的学习模式——大一大二大三一起读。这种模式究竟有何特别之处？下面，我们就来一探究竟。 首先，我们要明确一点，日本大一大二大三一起读并非指三个年级的学生在同一时间学习相同的课程。实际上，日本大学教育在课程设置上与我国类似，每个年级都有其特定的学习内容和目标。然而，日本大学生在时间安排上却有着与众不同的特点。 在日本，大学教育通常分为四个学年以上，其中大一、大二、大三三个年级的学生会在同一时间段内进行学习。这种模式主要有以下几个原因： 1. **强化基础知识**：日本大学生在大学前两年主要学习基础课程，如数学、物理、化学等。这种集中学习的方式有助于学生打下扎实的学科基础，为后续的专业学习做好准备。 2. **提高学习效率**：由于大一、大二、大三学生同时学习，教师可以根据学生的整体水平进行教学，从而提高教学效果。同时，学生之间可以相互学习、交流，形成良好的学习氛围。 3. **促进团队协作**：在同一时间段内学习，学生之间更容易形成团队，共同面对学习和生活中的挑战。这种团队精神对于培养学生的沟通能力、协作能力和解决问题的能力具有重要意义。 4. **减轻学业压力**：与我国大学生相比，日本大学生在大学期间的学习压力相对较小。这是因为，他们可以在三年内完成学业，相比我国四年的学制，日本大学生有更多的时间去关注自己的兴趣爱好、社会实践等方面。 当然，这种学习模式也存在一些弊端。例如，由于大一大二大三学生同时学习，教师难以针对不同学生的需求进行个性化教学。此外，部分学生可能会因为长时间的学习而感到疲惫。 尽管如此，日本大一大二大三一起读的模式仍然值得我们借鉴。在我国，随着教育改革的不断深入，我们可以尝试借鉴日本的经验，探索适合我国国情的大学教育模式。 具体来说，我们可以从以下几个方面进行改进： 1. **优化课程设置**：在保证学生基础知识的前提下，适当增加选修课程，满足学生的个性化需求。 2. **加强师资队伍建设**：提高教师的教学水平和科研能力，使教师能够针对不同学生的特点进行个性化教学。 3. **注重学生全面发展**：在保证学生学业成绩的同时，关注学生的兴趣爱好、社会实践等方面，培养学生的综合素质。 总之，日本大一大二大三一起读的学习模式为我们提供了有益的启示。在我国，我们可以借鉴这一模式，结合我国国情，不断探索和完善大学教育，为培养更多优秀人才奠定基础。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co