machine scoring

简明释义

机器阅卷

英英释义

例句

1.Many educational institutions are turning to machine scoring for large-scale exams.

许多教育机构正在转向机器评分以应对大规模考试。

2.The accuracy of machine scoring algorithms has improved significantly over the years.

近年来，机器评分算法的准确性显著提高。

3.The university adopted machine scoring to evaluate standardized tests more efficiently.

大学采用机器评分来更高效地评估标准化考试。

4.The new software integrates machine scoring to provide instant feedback on student essays.

新软件集成了机器评分功能，以便对学生论文提供即时反馈。

5.Using machine scoring helps reduce human error in assessments.

使用机器评分有助于减少评估中的人为错误。

作文

In recent years, the education sector has witnessed a significant transformation due to advancements in technology. One of the most notable innovations is the implementation of machine scoring, which refers to the use of automated systems to evaluate and score written essays and other forms of student assessments. This method has sparked considerable debate among educators, students, and policymakers regarding its effectiveness and implications for learning outcomes.Firstly, the primary advantage of machine scoring lies in its efficiency. Traditional essay grading can be a time-consuming process for teachers, often requiring hours to provide constructive feedback on each student’s work. With machine scoring, essays can be evaluated in a fraction of the time, allowing educators to focus on other critical aspects of teaching. For instance, instead of spending valuable hours grading papers, teachers can dedicate more time to lesson planning and individual student support. This efficiency not only benefits educators but also allows for quicker feedback for students, which is essential for their learning process.Moreover, machine scoring can help standardize grading across different schools and districts. Human grading can be subjective, influenced by personal biases or varying standards among teachers. By employing machine scoring, educational institutions can ensure that all students are assessed based on the same criteria, promoting fairness and consistency in evaluations. This standardization can be particularly beneficial in large-scale assessments, such as standardized tests, where maintaining uniformity is crucial.However, despite its advantages, machine scoring has its critics. One major concern is the potential loss of the human touch in education. Writing is not merely about grammar and structure; it is an expression of creativity and critical thinking. Critics argue that machine scoring may overlook the nuances of a student's voice, style, and argumentation. Automated systems typically rely on algorithms that prioritize specific features of writing, which may lead to the undervaluation of unique perspectives and innovative ideas.Additionally, there are concerns about the accuracy of machine scoring. While technology has advanced significantly, it is not infallible. There have been instances where automated systems have misjudged the quality of writing, leading to unfair scores. For example, a well-argued piece that employs complex vocabulary might receive a lower score than a simpler, less compelling essay if the algorithm does not adequately recognize its strengths. This raises questions about the reliability of machine scoring as a sole assessment tool.Furthermore, the reliance on machine scoring could inadvertently encourage students to write in ways that cater to algorithms rather than focusing on genuine expression and comprehension. If students become aware that their essays are being evaluated by machines, they might prioritize formulaic writing over authentic engagement with the material. This shift could ultimately undermine the educational goals of fostering critical thinking and creativity.In conclusion, while machine scoring presents numerous benefits, including efficiency and standardization, it also poses challenges that warrant careful consideration. As educational institutions continue to explore the integration of technology into assessment practices, it is crucial to strike a balance between automated evaluation and the essential human element of teaching. By combining the strengths of both approaches, educators can create a more effective and equitable assessment system that truly reflects students' abilities and fosters their growth as learners.

近年来，教育领域因技术的进步而经历了显著的变革。其中一个最显著的创新是实施机器评分，该方法是指使用自动化系统来评估和评分学生的书面作文及其他形式的评估。这种方法在教育工作者、学生和政策制定者之间引发了关于其有效性和对学习成果影响的广泛讨论。首先，机器评分的主要优势在于其效率。传统的作文评分对于教师来说可能是一个耗时的过程，通常需要花费数小时为每位学生的作品提供建设性的反馈。通过使用机器评分，作文可以在极短的时间内进行评估，使教育工作者能够专注于教学的其他关键方面。例如，教师不必花费宝贵的时间来评分论文，而可以将更多时间用于课程规划和个别学生的支持。这种效率不仅使教育工作者受益，还能为学生提供更快的反馈，这对他们的学习过程至关重要。此外，机器评分可以帮助实现不同学校和地区之间评分的标准化。人类评分可能存在主观性，受到个人偏见或教师之间标准差异的影响。通过采用机器评分，教育机构可以确保所有学生都根据相同的标准进行评估，从而促进评估的公平性和一致性。这种标准化在大规模评估中尤为重要，例如标准化测试，其中维护统一性至关重要。然而，尽管有其优点，机器评分仍然面临批评。一个主要的担忧是教育中人性化元素的潜在丧失。写作不仅仅是语法和结构；它是创造力和批判性思维的表达。批评者认为，机器评分可能忽视学生声音、风格和论证的细微差别。自动化系统通常依赖于优先考虑特定写作特征的算法，这可能导致独特观点和创新思想的低估。此外，人们还对机器评分的准确性表示担忧。虽然技术已经取得了显著进步，但并非万无一失。曾经发生过自动化系统错误判断写作质量的情况，导致不公平的评分。例如，一篇论证充分、使用复杂词汇的文章，可能会因为算法未能充分识别其优点而获得较低的分数。这引发了关于将机器评分作为唯一评估工具的可靠性的问题。此外，依赖于机器评分可能无意中鼓励学生以迎合算法的方式进行写作，而不是专注于真实的表达和理解。如果学生意识到他们的作文正被机器评估，他们可能会优先考虑公式化的写作，而不是与材料进行真实的互动。这种转变最终可能会破坏培养批判性思维和创造力的教育目标。总之，尽管机器评分具有诸多优势，包括效率和标准化，但也带来了值得仔细考虑的挑战。随着教育机构继续探索将技术融入评估实践，找到自动化评估与教学中人性化元素之间的平衡至关重要。通过结合这两种方法的优势，教育工作者可以创建一个更有效和公平的评估系统，真正反映学生的能力，并促进他们作为学习者的成长。