Grant-in-Aid for Co-operative Research (A).
Japanese language education
|Research Institution||Tohoku University|
OTSUBO Kazuo Tohoku Univ.Faculty of Arts of Letters, Professor, 文学部, 教授 (20115538)
村上 隆 名古屋大学, 教育学部, 教授 (70093078)
藤原 雅憲 名古屋大学, 言語文化部, 助教授 (10156929)
佐藤 滋 留学生教育センター, 教授 (40137592)
酒井 たか子 筑波大学, 文芸・言語学系, 講師 (40215588)
才田 いずみ 東北大学, 文学部, 助教授 (20186919)
村上 京子 名古屋大学, 言語文化部, 助教授 (00210005)
FUJIWARA Masanori Tohoku Univ.Faculty of Arts of Letters, Professor
MURAKAMI Takashi Tohoku Univ.Faculty of Arts of Letters, Professor
SAITA Izumi Tohoku Univ.Faculty of Arts of Letters, Professor
SAKAI Takako Tohoku Univ.Faculty of Arts of Letters, Professor
MURAKAMI Kyoko Tohoku Univ.Faculty of Arts of Letters, Professor
|Project Fiscal Year
1993 – 1994
Completed(Fiscal Year 1994)
|Budget Amount *help
¥5,000,000 (Direct Cost : ¥5,000,000)
Fiscal Year 1994 : ¥1,500,000 (Direct Cost : ¥1,500,000)
Fiscal Year 1993 : ¥3,500,000 (Direct Cost : ¥3,500,000)
|Keywords||Aptitude Test / computerization / Japanese Language Aptitude Test / Comparison with the conventional Paper Test / 適性テスト / コンピュータ化 / 日本語学習適性 / 集団テストとの比較|
As the result of our research in '94, we found that the computerization of Japanese Language Aptitude Test is not only desirable for the examiner but also for candidates for the examination. Since we could not supply the exact equal environment for each candidates at this time, even though the diserable result, because of the shortage of the numbers of computers and their uneven specifications.
We judged then that the time is not enough ripe for the computerization yet and decided to concentrat on the revision and enlargement of the third edition of the Japanese Language Aptitude Test.
1.As for the grammatical analysis task, a new version based on Ainu language, which has many similar constructions to Japanese language, was proposed. However for average students it was too difficult, we made our mind to continue using the former questions used in the third edition.
As for the visual ability test, Question 6 : figures recognition task and Question 9 : figures recognition task with masking were removed, and in the place of them we put the Kanji pattern matching task and the syllable orthography analysis task. As the result prediction validity were increased, this modification was available to be thought appropriate, though more data is necessary to prove that.
As for the audio ability test, the number of questions in the phoneme distinction task was decreased and, in the opposite that in prosody distinction task was increased. In the sound memorization task, the phoneme was restricted to that recognized easily by any examinee of various native language. As a result of this modification, Alfa coefficient increased from 0.12 to 0.68.
As mentioned above, the quality of each question improved much. While there are still some problems to solve, our goal is almost achieved.