The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pemodelan data konseptual adalah aktiviti penting dalam reka bentuk pangkalan data. Walau bagaimanapun, sukar bagi pelajar baru untuk menguasai kemahirannya. Dalam pemodelan data konseptual, pelajar dikehendaki untuk mengesan dan membetulkan kesilapan artifak mereka sendiri kerana alat pemodelan tidak membantu aktiviti ini. Kami memanggil aktiviti semakan sendiri, yang juga merupakan proses penting. Walau bagaimanapun, kajian terdahulu tidak menumpukan padanya dan/atau pengumpulan data semakan sendiri. Pengumpulan data semakan kendiri adalah sukar kerana semakan kendiri adalah aktiviti dalaman dan semakan kendiri biasanya tidak dinyatakan. Oleh itu, kami membangunkan kaedah untuk membantu pelajar menyatakan semakan kendiri mereka dengan merenung proses membuat artifak mereka. Di samping itu, kami membangunkan sistem, KIfU3, yang melaksanakan kaedah ini. Kami menjalankan eksperimen penilaian dan menunjukkan keberkesanan kaedah tersebut. Daripada keputusan eksperimen, kami mendapati bahawa (1) pelajar baru menjalankan semakan kendiri semasa tugas pemodelan data konsep mereka; (2) sukar bagi mereka untuk mengesan kesilapan dalam artifak mereka; (3) mereka tidak semestinya boleh membetulkan kesilapan walaupun mereka dapat mengenal pastinya; dan (4) tiada hubungan antara bilangan semakan kendiri oleh pelajar dan kualiti artifak mereka.
Takafumi TANAKA
Tokyo University of Agriculture and Technology
Hiroaki HASHIURA
Nippon Institute of Technology
Atsuo HAZEYAMA
Tokyo Gakugei University
Seiichi KOMIYA
National Institute of Informatics
Yuki HIRAI
Shinshu University
Keiichi KANEKO
Tokyo University of Agriculture and Technology
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Salinan
Takafumi TANAKA, Hiroaki HASHIURA, Atsuo HAZEYAMA, Seiichi KOMIYA, Yuki HIRAI, Keiichi KANEKO, "Learners' Self Checking and Its Effectiveness in Conceptual Data Modeling Exercises" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 7, pp. 1801-1810, July 2018, doi: 10.1587/transinf.2017KBP0001.
Abstract: Conceptual data modeling is an important activity in database design. However, it is difficult for novice learners to master its skills. In the conceptual data modeling, learners are required to detect and correct errors of their artifacts by themselves because modeling tools do not assist these activities. We call such activities self checking, which is also an important process. However, the previous research did not focus on it and/or the data collection of self checks. The data collection of self checks is difficult because self checking is an internal activity and self checks are not usually expressed. Therefore, we developed a method to help learners express their self checks by reflecting on their artifact making processes. In addition, we developed a system, KIfU3, which implements this method. We conducted an evaluation experiment and showed the effectiveness of the method. From the experimental results, we found out that (1) the novice learners conduct self checks during their conceptual data modeling tasks; (2) it is difficult for them to detect errors in their artifacts; (3) they cannot necessarily correct the errors even if they could identify them; and (4) there is no relationship between the numbers of self checks by the learners and the quality of their artifacts.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017KBP0001/_p
Salinan
@ARTICLE{e101-d_7_1801,
author={Takafumi TANAKA, Hiroaki HASHIURA, Atsuo HAZEYAMA, Seiichi KOMIYA, Yuki HIRAI, Keiichi KANEKO, },
journal={IEICE TRANSACTIONS on Information},
title={Learners' Self Checking and Its Effectiveness in Conceptual Data Modeling Exercises},
year={2018},
volume={E101-D},
number={7},
pages={1801-1810},
abstract={Conceptual data modeling is an important activity in database design. However, it is difficult for novice learners to master its skills. In the conceptual data modeling, learners are required to detect and correct errors of their artifacts by themselves because modeling tools do not assist these activities. We call such activities self checking, which is also an important process. However, the previous research did not focus on it and/or the data collection of self checks. The data collection of self checks is difficult because self checking is an internal activity and self checks are not usually expressed. Therefore, we developed a method to help learners express their self checks by reflecting on their artifact making processes. In addition, we developed a system, KIfU3, which implements this method. We conducted an evaluation experiment and showed the effectiveness of the method. From the experimental results, we found out that (1) the novice learners conduct self checks during their conceptual data modeling tasks; (2) it is difficult for them to detect errors in their artifacts; (3) they cannot necessarily correct the errors even if they could identify them; and (4) there is no relationship between the numbers of self checks by the learners and the quality of their artifacts.},
keywords={},
doi={10.1587/transinf.2017KBP0001},
ISSN={1745-1361},
month={July},}
Salinan
TY - JOUR
TI - Learners' Self Checking and Its Effectiveness in Conceptual Data Modeling Exercises
T2 - IEICE TRANSACTIONS on Information
SP - 1801
EP - 1810
AU - Takafumi TANAKA
AU - Hiroaki HASHIURA
AU - Atsuo HAZEYAMA
AU - Seiichi KOMIYA
AU - Yuki HIRAI
AU - Keiichi KANEKO
PY - 2018
DO - 10.1587/transinf.2017KBP0001
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2018
AB - Conceptual data modeling is an important activity in database design. However, it is difficult for novice learners to master its skills. In the conceptual data modeling, learners are required to detect and correct errors of their artifacts by themselves because modeling tools do not assist these activities. We call such activities self checking, which is also an important process. However, the previous research did not focus on it and/or the data collection of self checks. The data collection of self checks is difficult because self checking is an internal activity and self checks are not usually expressed. Therefore, we developed a method to help learners express their self checks by reflecting on their artifact making processes. In addition, we developed a system, KIfU3, which implements this method. We conducted an evaluation experiment and showed the effectiveness of the method. From the experimental results, we found out that (1) the novice learners conduct self checks during their conceptual data modeling tasks; (2) it is difficult for them to detect errors in their artifacts; (3) they cannot necessarily correct the errors even if they could identify them; and (4) there is no relationship between the numbers of self checks by the learners and the quality of their artifacts.
ER -