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Analysis of How Masters’ Curriculum Meets the Needs of Masters’ Students’ Use of Statistics in Research

机译:分析硕士课程如何满足硕士学生在研究中使用统计的需要

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Knowledge is valued as a vital asset for progress and prosperity in every sphere of human understanding. Knowledge is attributed with successful innovation in firms. Research has been identified as the main source of knowledge. In Kenya, University students have been accused of doing low quality research. Statistics is important in research, it starts at the planning stage to establish the design and sample size. Studies have pointed to wrong use of statistics as a contributing factor towards low quality research. The purpose of this study was; to determine masters’ curriculum meets the needs of masters’ students’ use of statistics in research, a case of curriculums of universities of western Kenya. Three curriculums from 3 different universities were analyzed. The study established that; general objectives and specific objectives in courses related to statistics adequately covered the requirements for statistics training; the scheduled content for the core courses covered descriptive and inferential statistics; ICT concepts are catered for in the sampled masters’ curriculums, however, the courses are too wide to be effectively learned in one semester of 4 months; The study established that lectures, class discussion and students presentations are common methods of instruction across the sampled curriculums. The study established that continuous assessment tests and end of semester sit in exam were the common form of exams administered. In addition in one case there were also term papers and practical in some courses. However the end of semester exam carried more weight of 60%. The study recommended for proper integration of ICT and statistics, increase of statistical courses and use of open book examination.
机译:知识被视为人类理解的各个领域中进步与繁荣的重要资产。知识归功于企业的成功创新。研究被确定为主要的知识来源。在肯尼亚,大学生被指控从事低质量的研究。统计数据在研究中很重要,它从计划阶段开始确定设计和样本量。研究指出,错误使用统计数据是导致低质量研究的原因。这项研究的目的是;确定硕士课程是否符合硕士学生在研究中使用统计数据的需求,例如肯尼亚西部大学的课程。分析了来自三所不同大学的三种课程。研究确定:与统计有关的课程的总体目标和具体目标充分满足了统计培训的要求;核心课程的预定内容包括描述性和推理性统计;抽样课程的硕士课程满足了ICT的概念,但是,课程范围太广,无法在4个月的一个学期内有效学习;该研究确定,在样本课程中,讲座,课堂讨论和学生演讲是常见的教学方法。该研究确定,连续评估测试和学期末参加考试是考试的常见形式。此外,在某些情况下,有些课程还提供学期论文和实用的课程。但是,学期末考试的体重增加了60%。该研究建议适当整合ICT和统计数据,增加统计课程并使用公开考试。

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