IDEAS home Printed from https://ideas.repec.org/a/eur/ejmsjr/380.html
   My bibliography  Save this article

The Analysis of Students’ Cognitive Ability Based on Assesments of the Revised Bloom’s Taxonomy on Statistic Materials

Author

Listed:
  • Ayu Rahayu

    (Master of Sciences, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada Indonesiaw:val="NoSpacing)

Abstract

This research is descriptive research with quantitative approach that aims to describe students’ cognitive abilities based on assessment of the Revised Bloom’s Taxonomy on statistics material. The subjects of this research were 36 students of class XI Science. Data obtained by using a research instruments that was learning achievement test accordance with the Revised Bloom's Taxonomy on statistic material. The data analysis technique was descriptive analysis. The results of this research indicate that: (1) on factual knowledge the ability percentage of student’s cognitive process begins from the highest to the lowest percentage that is the level of ability C1 (remember), C2 (understand), C3 (apply), C4 (analyze), C5 (evaluate), and C6 (create); (2) on conceptual knowledge the ability percentage of students’ cognitive process begins from the highest to the lowest percentage that is the level of ability C1 (remember), C2 (understand), C3 (apply), C4 (analyze), C6 (create), and C5 (evaluate); (3) on procedural knowledge the ability percentage of students’ cognitive process begins from the highest to the lowest percentage that is the level of ability C1 (remember), C2 (understand), C3 (apply), C4 (analyze), C6 (create), and C5 (evaluate); (4) on metacognitive knowledge the ability percentage of students’ cognitive process begins from the highest to the lowest percentage that is the level of ability C1 (remember), C2 (understand), C3 (apply), C4 (analyze), C5 (evaluate), and C6 (create).

Suggested Citation

  • Ayu Rahayu, 2018. "The Analysis of Students’ Cognitive Ability Based on Assesments of the Revised Bloom’s Taxonomy on Statistic Materials," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 3, ejms_v3_i.
  • Handle: RePEc:eur:ejmsjr:380
    DOI: 10.26417/ejms.v7i2.p80-85
    as

    Download full text from publisher

    File URL: https://brucol.be/index.php/ejms/article/view/6024
    Download Restriction: no

    File URL: https://brucol.be/files/articles/ejms_v3_i2_18/Ayu.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26417/ejms.v7i2.p80-85?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eur:ejmsjr:380. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Revistia Research and Publishing (email available below). General contact details of provider: https://revistia.com/index.php/ejms .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.