A Method for Collecting Learners’ Thinking Process in ER Modeling Exercises and Its Application Experiment

Tanaka, Takafumi; Hashiura, Hiroaki; Hazeyama, Atsuo; Komiya, Seiichi; Hirai, Yuki; Kaneko, Keiichi

doi:10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0086

Cited by 6 publications

(10 citation statements)

References 3 publications

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“…To compare our method with the previous one by Tanaka et al [15], we reinvestigated the data collected in the previous study. The 46 participants in the previous study belonged to the same university as the participants in our study and they were attending to the same course 'Database Design' in the previous academic year of our study.…”

Section: Effectiveness Of Our Methods and Response To Rq1mentioning

confidence: 99%

“…Tanaka et al developed a system that supports learners to express their thoughts during CDM exercises by reflection on their artifact making processes [15]. They defined an "edit event", and regarded the artifact making process as a sequence of edit events.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, if we ask him/her after the process, it may be difficult for him/her to recall all of his/her ESCs. Therefore, we apply an enhancement of the method proposed by Tanaka et al [15] to collect ESCs. This method was designed to support the learner to express his/her thoughts during the artifact making by reflecting on the process.…”

Section: E1 (Timing)mentioning

confidence: 99%

“…In the first step, we automatically collect the learner's edit events in a manner similar to Tanaka et al [15]. The learner expresses Timings of SCs when he/she starts SCs in the artifact making process through the system.…”

Section: E1 (Timing)mentioning

confidence: 99%

“…Requirements (1) and 2have already been implemented by the system KIfU 2.0 developed by Tanaka et al [15]. Here, we implement the function of recording of ESCs by extending KIfU 2.0.…”

Section: Functional Requirementsmentioning

confidence: 99%

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Learners' Self Checking and Its Effectiveness in Conceptual Data Modeling Exercises

Tanaka

Hashiura

Hazeyama

et al. 2018

IEICE Trans. Inf. & Syst.

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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, KIfU 3.0, 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.

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Section: Effectiveness Of Our Methods and Response To Rq1mentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: E1 (Timing)mentioning

confidence: 99%

Section: E1 (Timing)mentioning

confidence: 99%

“…Requirements (1) and 2have already been implemented by the system KIfU 2.0 developed by Tanaka et al [15]. Here, we implement the function of recording of ESCs by extending KIfU 2.0.…”

Section: Functional Requirementsmentioning

confidence: 99%

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