東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Assessing Young Children's Computati...

Relkin, Emily.

Linked to FindBook

Google Book

Amazon

博客來

Assessing Young Children's Computational Thinking Abilities.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Assessing Young Children's Computational Thinking Abilities./
Author:	Relkin, Emily.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	106 p.
Notes:	Source: Masters Abstracts International, Volume: 79-12.
Contained By:	Masters Abstracts International79-12.
Subject:	Educational tests & measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10813994
ISBN:	9780438026551

Assessing Young Children's Computational Thinking Abilities.
Relkin, Emily.

Assessing Young Children's Computational Thinking Abilities. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 106 p.

Source: Masters Abstracts International, Volume: 79-12.

Thesis (M.A.)--Tufts University, 2018.

This item must not be sold to any third party vendors.

Computational thinking (CT) is a category of thought processes that allows framing and solving problems with computers, robots and other computational devices. The development of CT abilities through computational learning is increasingly vital to success in our technologically-oriented society. A major barrier to computational learning in schools is the current lack of validated instruments for assessing CT abilities in young children. We have developed a new CT assessment instrument called "TACTIC-KIBO" ( Tufts Assessment of Computational Thinking In Children - KIBO version). This instrument uses the KIBO programmable robot to evaluate the CT abilities of kindergarten and early elementary school children in classroom or research settings. TACTIC-KIBO rates overall CT ability into four levels by evaluating performance in seven CT categories that are based upon Bers' Developmentally Appropriate Seven Powerful Ideas of Computational Thinking (Bers 2018). In a pilot study, fifteen 5-7-year olds with various levels of past exposure to the KIBO robot were assessed with this new instrument. The children were also videotaped as they engaged in structured interactive play sessions with the KIBO robot to allow their CT skills to be rated independently by researchers with expertise in assessing CT. Results show a high correlation (r=0.895, p <0.001) between the ratings made with TACTIC-KIBO and expert assessments. TACTIC-KIBO could be easily administered and scored for children with a wide range of CT abilities in an average of 16 minutes per child. Expert ratings of interactive play sessions took longer to perform and were subject to inter-rater variability. Detailed analysis of participants' responses reveals potential areas in which TACTIC-KIBO can be improved in the future. Results of this pilot study are encouraging and provide support for the further development of TACTIC-KIBO as a practical assessment tool for educators and researchers to use when measuring CT abilities in young children.

ISBN: 9780438026551Subjects--Topical Terms:

3168483
Educational tests & measurements.
Subjects--Index Terms:

Assessment

Assessing Young Children's Computational Thinking Abilities.
LDR:03214nmm a2200397 4500 001 2270495
005 20200930060325.5
008 220629s2018 ||||||||||||||||| ||eng d
020 $a 9780438026551
035 $a (MiAaPQ)AAI10813994
035 $a (MiAaPQ)tuftsase:12204
035 $a AAI10813994
040 $a MiAaPQ $c MiAaPQ
100 1 $a Relkin, Emily. $3 3547865
245 1 0 $a Assessing Young Children's Computational Thinking Abilities.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 106 p.
500 $a Source: Masters Abstracts International, Volume: 79-12.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Bers, Marina U.
502 $a Thesis (M.A.)--Tufts University, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a Computational thinking (CT) is a category of thought processes that allows framing and solving problems with computers, robots and other computational devices. The development of CT abilities through computational learning is increasingly vital to success in our technologically-oriented society. A major barrier to computational learning in schools is the current lack of validated instruments for assessing CT abilities in young children. We have developed a new CT assessment instrument called "TACTIC-KIBO" ( Tufts Assessment of Computational Thinking In Children - KIBO version). This instrument uses the KIBO programmable robot to evaluate the CT abilities of kindergarten and early elementary school children in classroom or research settings. TACTIC-KIBO rates overall CT ability into four levels by evaluating performance in seven CT categories that are based upon Bers' Developmentally Appropriate Seven Powerful Ideas of Computational Thinking (Bers 2018). In a pilot study, fifteen 5-7-year olds with various levels of past exposure to the KIBO robot were assessed with this new instrument. The children were also videotaped as they engaged in structured interactive play sessions with the KIBO robot to allow their CT skills to be rated independently by researchers with expertise in assessing CT. Results show a high correlation (r=0.895, p <0.001) between the ratings made with TACTIC-KIBO and expert assessments. TACTIC-KIBO could be easily administered and scored for children with a wide range of CT abilities in an average of 16 minutes per child. Expert ratings of interactive play sessions took longer to perform and were subject to inter-rater variability. Detailed analysis of participants' responses reveals potential areas in which TACTIC-KIBO can be improved in the future. Results of this pilot study are encouraging and provide support for the further development of TACTIC-KIBO as a practical assessment tool for educators and researchers to use when measuring CT abilities in young children.
590 $a School code: 0234.
650 4 $a Educational tests & measurements. $3 3168483
650 4 $a Early childhood education. $3 518817
650 4 $a Educational technology. $3 517670
653 $a Assessment
653 $a Computational thinking
653 $a Early childhood
653 $a Programming
653 $a Robotics
690 $a 0288
690 $a 0518
690 $a 0710
710 2 $a Tufts University. $b Child Development. $3 1024814
773 0 $t Masters Abstracts International $g 79-12.
790 $a 0234
791 $a M.A.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10813994