JPH05281900A - Test analysis simulation system - Google Patents

Test analysis simulation system

Info

Publication number
JPH05281900A
JPH05281900A JP8367692A JP8367692A JPH05281900A JP H05281900 A JPH05281900 A JP H05281900A JP 8367692 A JP8367692 A JP 8367692A JP 8367692 A JP8367692 A JP 8367692A JP H05281900 A JPH05281900 A JP H05281900A
Authority
JP
Japan
Prior art keywords
data
analysis
test
individual
analysis evaluation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP8367692A
Other languages
Japanese (ja)
Inventor
Haruji Hashimoto
晴次 橋本
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEW II C SYST KK
Original Assignee
NEW II C SYST KK
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NEW II C SYST KK filed Critical NEW II C SYST KK
Priority to JP8367692A priority Critical patent/JPH05281900A/en
Publication of JPH05281900A publication Critical patent/JPH05281900A/en
Pending legal-status Critical Current

Links

Abstract

PURPOSE:To enable the decision and analysis of the ranking in a large population or the pass or fail of even just one examinee. CONSTITUTION:This test analysis simulation system has a data input means 1 which inputs the data on individual rests, etc., a calculation processing means 2 which determines a theoretical scholorship distribution curve in accordance with the statistical data on the already executed tests and corresponds and analizes the curve with the individual test result data and retrieves the analysis evaluation data corresponding to the results of analyses from an analysis evaluation master file section 5, display output means 3, 4 which display the retrieved individual analysis evaluation data and an analysis evaluation master film section 5 which stores the data to be tested, the statistical data on the already executed tests and decision comment data.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は試験分析シュミレーショ
ンシステム、更に詳細には一人の受験者であっても多数
の受験者中に於ける当該受験者の順位や合否予想の判定
等の分析評価が可能な模擬試験等の各種試験の分析シュ
ミレーションシステムに関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a test analysis simulation system, and more particularly, to an analysis and evaluation such as judgment of a candidate's rank and pass / fail prediction among a large number of candidates. It relates to an analysis simulation system of various tests such as possible simulated tests.

【0002】[0002]

【従来の技術】従来、高校や大学を初めとする各種入学
試験あるいは医師や税理士等の各種資格試験のための模
擬試験は、実際に参加した受験者数を母集団の構成人数
とし、該参加受験者数の範囲内に於て、各受験者の順位
を定めたり、合否予想の判定評価を行っていた。
2. Description of the Related Art Conventionally, for various entrance examinations such as high school and university or mock examinations for various qualification examinations such as doctors and tax accountants, the number of examinees who actually participated is taken as the number of participants in the population. Within the range of the number of examinees, the rank of each examinee was determined and the pass / fail prediction was evaluated.

【0003】[0003]

【発明が解決しようとする課題】そのため、従来の模擬
試験に於て、個人の順位や判定評価の信頼性を高めるた
めには、より多くの受験者の参加の下に行わざるを得
ず、一人はもとより少人数の参加者では意味をなさない
ものであった。
Therefore, in order to increase the reliability of the individual ranking and the judgment evaluation in the conventional mock test, it has to be done with the participation of more examinees. It didn't make sense for a small number of participants, let alone one.

【0004】而して、実際上模擬試験は、大規模実施が
可能な大手受験機関や教育機関のみにより行われ、中小
の塾や教育機関では判定評価を伴なう独自の模擬試験の
実施は不可能なのが実状であった。
Actually, the mock test is actually carried out only by a large-scale examination institution or educational institution capable of large-scale execution, and small and medium-sized private schools and educational institutions do not carry out their own mock test with judgment evaluation. The reality was that it was impossible.

【0005】そこで、本発明者は斯かる実状に於て、コ
ンピューターを利用することにより、参加受験者数に影
響されることなく、仮令一人のみの受験者であっても所
望母集団中に於ける順位や合否予想の判定等を行い得る
シュミレーションシステムを開発すべく種々研究を重ね
た結果、本発明を完成したものである。
Under the circumstances, the inventor of the present invention uses a computer, and is not affected by the number of test takers, and even in the desired population, only one test taker can take the test. The present invention has been completed as a result of various researches conducted to develop a simulation system capable of determining the ranking and the pass / fail prediction.

【0006】[0006]

【課題を解決するための手段】すなわち、本発明はデー
タ入力手段と、計算処理手段と、表示出力手段と、試験
対象データ、既実施試験統計データ及び判定コメントデ
ータを格納した分析評価マスターファイル部とを備え、
前記入力手段により受験者個人の試験結果データを入力
し、既実施試験統計データに基き理論的学力分布曲線を
求めて当該個人試験結果データと対応分析せしめると共
に、該分析結果に対応する分析評価データを分析評価マ
スターファイル部から索出し、表示出力手段により表示
するようにしたことを特徴とする試験分析シュミレーシ
ョンシステムである。
That is, the present invention provides a data input means, a calculation processing means, a display output means, an analysis evaluation master file section in which test target data, statistical data of conducted tests and judgment comment data are stored. With and
The test result data of the individual examinee is input by the input means, a theoretical academic ability distribution curve is obtained based on the statistical data of the conducted tests, and the individual test result data is analyzed correspondingly, and the analysis evaluation data corresponding to the analysis result. Is extracted from the analysis evaluation master file section and displayed by the display output means.

【0007】[0007]

【実施例】以下本発明を図面と共に説明する。DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below with reference to the drawings.

【0008】本発明の一実施例を示すブロック図たる図
1に於て、1はキーボードで個人試験結果データ等を入
力するものであり、2は計算処理装置で既実施試験統計
データに基き理論的学力分布曲線を求めて当該個人試験
結果データと対応分析せしめると共に、該分析結果に対
応する分析評価データを後述の分析評価マスターファイ
ル装置から索出せしめるものであり、3は表示装置で索
出された個人分析評価データを表示するものであり、4
はプリンタで索出された個人分析評価データを紙にプリ
ントアウトするものであり、5はファイル装置で試験対
象データM1、既実施試験統計データM2及び判定コメ
ントデータM3が収容された分析評価マスターファイル
Mが格納されているものである。
In FIG. 1, which is a block diagram showing an embodiment of the present invention, reference numeral 1 is a keyboard for inputting personal test result data and the like, and 2 is a calculation processing device based on statistical data of already-executed tests. 3) is used to obtain a dynamic scholastic ability distribution curve and analyze it in correspondence with the personal test result data, and to retrieve analysis evaluation data corresponding to the analysis result from the analysis evaluation master file device described later. It displays the personal analysis evaluation data
Reference numeral 5 is for printing out the personal analysis evaluation data retrieved by the printer on paper, and reference numeral 5 is an analysis evaluation master file containing the test target data M1, the already-executed test statistical data M2 and the judgment comment data M3 in the file device. M is stored.

【0009】試験対象データM1は、受験者が目標とし
ている学校や資格試験等に関するデータで、例えば高校
入試の例を挙げれば、図2に示すように、校名、公・私
立の別、男・女の別、受験科目数、合格者の最高点・最
低点及び不合格者の最高点・最低点等過去の実績、8割
以上の確率で合格できる点たる合格基準点や入試情報等
のデータが挙げられる。因に、ここに合格基準点として
は、素点又は偏差値による実力点あるいは学校の10段
階評価による内申点が挙げられる。
The test data M1 is data relating to the school or qualification test that the examinee is targeting. For example, in the case of a high school entrance examination, as shown in FIG. 2, the school name, whether public or private, male・ By type of woman, number of subjects taken, highest / lowest score of successful applicants, highest / lowest score of unsuccessful applicants, past achievements, passing reference points and entrance examination information, etc. Data can be mentioned. Incidentally, here, as the passing reference point, there is an ability point based on a raw score or a deviation value, or a self-reported point based on a 10-level evaluation of a school.

【0010】既実施試験統計データM2は、既に実施さ
れた過去の模擬試験や本試験の結果を統計処理したデー
タで、例えば高校入試の例を挙げれば、図3に示すよう
に、各科目毎の配点、受験者数、平均点、最高点、最低
点並びにそれらについての受験科目に対応した2又は3
科目合計値及び全科目合計値、標準偏差等のデータが挙
げられる。
The already-executed test statistical data M2 is data obtained by statistically processing the results of past mock tests and main tests that have already been carried out. For example, in the case of a high school entrance exam, as shown in FIG. Score, number of examinees, average score, maximum score, minimum score, and 2 or 3 corresponding to the test subjects for those
Data such as the total value of subjects, the total value of all subjects, and the standard deviation are included.

【0011】判定コメントデータM3は、合否判定の結
果をコメント表示するための文例パターンデータで、例
えば高校入試の例を挙げれば、図4に示すように、「上
位合格が可能です。」の如く、各高校毎の数段階(種
類)の文例パターンデータ並びに「今回の成績は優秀で
す。」の如き、200種類以上の総合コメント文例パタ
ーンデータ等が挙げられる。
The judgment comment data M3 is sentence pattern data for displaying the result of the pass / fail judgment as a comment. For example, in the case of a high school entrance examination, as shown in FIG. There are several levels (types) of sentence pattern data for each high school, and more than 200 types of comprehensive comment sentence pattern data such as "This grade is excellent."

【0012】キーボード1により入力される受験者個人
の試験結果データは、既実施試験統計データMの基礎と
なった既実施試験と同一問題若しくはそれと同一レベル
の問題のテストを受けた個人の試験成績等のデータで、
例えば高校入試の例を挙げれば、受験者の住所・氏名、
男・女の別、各科目毎の得点、実力点、内申点、志望校
等が挙げられる。
The test result data of the individual examinee input by the keyboard 1 is the test result of the individual who has taken the test of the same question as the already-executed test which is the basis of the already-executed test statistical data M, or the same level of the problem. Data such as
For example, in the case of high school entrance exams, the address and name of the examinee,
Men's and women's, scores for each subject, proficiency points, internal claims, desired schools, etc. are listed.

【0013】而して、斯かる個人試験結果データがキー
ボード1により入力されると、計算処理装置2が既実施
試験統計データM2から各得点が対応する偏差値及び人
数を表わす分布グラフたる理論的学力分布曲線を求め、
これとの対応分析により、当該個人の試験結果データに
対応する順位、偏差値、10段階評価を割り出すと共
に、これに対応する合格確率又は判定、コメント等の分
析評価データを分析評価マスターファイルMから索出
し、そのデータは表示装置3に例えば既実施試験統計デ
ータM2と共に対照表示され、あるいはプリンタ4によ
りプリントアウトされる。
When such personal test result data is input by the keyboard 1, the calculation processing device 2 theoretically serves as a distribution graph representing the deviation value and the number of persons corresponding to each score from the already-executed test statistical data M2. Obtain the academic ability distribution curve,
By the correspondence analysis with this, the rank, deviation value, and 10-level evaluation corresponding to the test result data of the individual are determined, and the analysis evaluation data such as the pass probability or the judgment, the comment, etc. corresponding to this is obtained from the analysis evaluation master file M. The data is searched, and the data is displayed on the display device 3 for comparison with the already-executed test statistical data M2, or printed out by the printer 4.

【0014】例えば高校入試の例を挙げれば、試験科目
5科目のA及びB高校を志望する甲の個人得点結果が国
語45点(配点75点)、数学36点(配点75点)、
英語34点(配点70点)、社会39点(配点70
点)、理科22点(配点70点)の場合、当該得点結果
を入力すると、計算処理装置2が既実施試験統計データ
M2から求めた図6に示すような理論的学力分布曲線と
当該得点結果との対応分析を行ない、甲の各科目毎の順
位、全科目の順位、偏差値等を図5に示すように表示装
置3に表示あるいはプリンタ4によりプリントアウトせ
しめる。
For example, in the case of high school entrance examination, the individual score results of A who wish to study A and B high school of 5 test subjects are 45 points in Japanese language (75 points), 36 points in mathematics (75 points),
English 34 points (70 points), society 39 points (70 points)
In the case of 22 points in science) (70 points in score), when the score result is input, the calculation processing device 2 obtains the theoretical academic ability distribution curve as shown in FIG. 6 and the score result obtained from the already-executed test statistical data M2. Then, the order of each subject of A, the rank of all subjects, the deviation value, etc. are displayed on the display device 3 or printed out by the printer 4 as shown in FIG.

【0015】また、同時に計算処理装置2は、試験対象
データM1中のA及びB高校の学校レベルや合格基準点
等と甲の得点結果やその分析値たる偏差値等との対応に
より、甲の合格可能性を志望校別に索出し、表示装置3
に表示あるいはプリンタ4によりプリントアウトせしめ
る。
Further, at the same time, the calculation processing device 2 responds to the school level of A and B high schools in the test object data M1 and the passing reference points with the result of A and the deviation value which is an analysis value thereof, thereby Display the possibility of passing by the desired school and display device 3
Or printed out by the printer 4.

【0016】更に、同時に計算処理装置2は、判定コメ
ントデータM3から当該合格可能性に対応するコメント
を志望校別に索出し、表示装置3に表示あるいはプリン
タ4によりプリントアウトせしめる。
Further, at the same time, the calculation processing device 2 retrieves a comment corresponding to the passability from the judgment comment data M3 for each desired school and displays it on the display device 3 or prints it out by the printer 4.

【0017】[0017]

【発明の効果】以上従って、本発明によれば、従来多人
数で同時に実施せざるを得なかった各種模擬試験等を、
参加人数に左右されることなく、極端な場合には受験者
が一人のみの場合であっても、またいつどこででも実施
でき、しかも当該受験者の成績結果分析は実際に参加し
た人数ではなく、分析評価マスタ−ファイル中の大きな
母集団に於ける順位や偏差値等として索出表示されるの
で、志望校等目標とする試験別により信頼性の高い合否
予想の判定結果を得ることができる。
As described above, according to the present invention, therefore, various simulation tests, etc., which conventionally had to be carried out simultaneously by a large number of people,
In an extreme case, regardless of the number of participants, even if there is only one examinee, it can be conducted anytime and anywhere, and the result analysis of the examinee is not the actual number of participants, Since it is searched and displayed as the rank and deviation value in a large population in the analysis and evaluation master file, it is possible to obtain a highly reliable judgment result of the pass / fail prediction depending on the target test such as the desired school.

【0018】また、複数種類及び複数回の既実施試験統
計データを利用することで個別により多角的に総合判定
の確度を容易に高めることができる。
Further, by using a plurality of types and a plurality of times of already-executed test statistical data, it is possible to easily increase the accuracy of the comprehensive judgment in a diversified manner.

【0019】而して、特に本発明は、従来独自の模擬試
験実施能力のなかった中小の学校や塾等に於ける進路指
導等を極めて簡便かつ効果的に行うことができるもので
ある。
Therefore, the present invention is particularly simple and effective in providing career guidance in small and medium schools, cram schools, etc., which had not been able to carry out a unique simulation test.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の一実施例を示すブロック説明図。FIG. 1 is a block diagram showing an embodiment of the present invention.

【図2】本発明の一実施例に於ける試験対象データファ
イル例。
FIG. 2 is an example of a test target data file in one embodiment of the present invention.

【図3】本発明の一実施例に於ける既実施試験統計デー
タファイル例。
FIG. 3 is an example of an already-executed test statistical data file in one embodiment of the present invention.

【図4】本発明の一実施例に於ける判定コメントデータ
ファイル例。
FIG. 4 is an example of a judgment comment data file in one embodiment of the present invention.

【図5】本発明の一実施例に於ける個人試験結果分析評
価データ表示例。
FIG. 5 is a display example of personal test result analysis and evaluation data according to an embodiment of the present invention.

【図6】本発明の一実施例に於ける理論的学力分布曲線
例。
FIG. 6 is an example of a theoretical academic ability distribution curve in one embodiment of the present invention.

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 データ入力手段と、計算処理手段と、表
示出力手段と、試験対象データ、既実施試験統計データ
及び判定コメントデータを格納した分析評価マスターフ
ァイル部とを備え、前記入力手段により受験者個人の試
験結果データを入力し、計算処理手段により既実施試験
統計データに基き理論的学力分布曲線を求めて当該個人
試験結果データと対応分析せしめると共に、該分析結果
に対応する分析評価データを分析評価マスターファイル
部から索出し、表示出力手段により表示するようにした
ことを特徴とする試験分析シュミレーションシステム。
1. A data input means, a calculation processing means, a display output means, and an analysis / evaluation master file section in which test target data, statistical data of conducted tests and judgment comment data are stored. Enter the test result data of each individual, calculate the theoretical academic ability distribution curve based on the statistical data of the conducted tests by the calculation processing means and analyze it corresponding to the individual test result data, and also the analysis evaluation data corresponding to the analysis result. A test analysis simulation system characterized in that it is searched from an analysis evaluation master file section and displayed by a display output means.
JP8367692A 1992-04-06 1992-04-06 Test analysis simulation system Pending JPH05281900A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP8367692A JPH05281900A (en) 1992-04-06 1992-04-06 Test analysis simulation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP8367692A JPH05281900A (en) 1992-04-06 1992-04-06 Test analysis simulation system

Publications (1)

Publication Number Publication Date
JPH05281900A true JPH05281900A (en) 1993-10-29

Family

ID=13809090

Family Applications (1)

Application Number Title Priority Date Filing Date
JP8367692A Pending JPH05281900A (en) 1992-04-06 1992-04-06 Test analysis simulation system

Country Status (1)

Country Link
JP (1) JPH05281900A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002215016A (en) * 2001-01-18 2002-07-31 Eikoh Inc Method for analyzing exercise of entrance examination question and storage medium for system of the same

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS524981A (en) * 1975-07-02 1977-01-14 Hitachi Ltd Data collecting circuit
JPS6070474A (en) * 1983-09-28 1985-04-22 片野 茂樹 Educational equipment utilizing data communication
JPH01189674A (en) * 1988-01-26 1989-07-28 Brother Ind Ltd Electronic learning machine
JPH01245284A (en) * 1988-03-26 1989-09-29 Shinkirou Matsumoto Answer data processor for learning test
JPH02248982A (en) * 1989-03-23 1990-10-04 Mitsubishi Electric Corp Understanding degree evaluation system of learning device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS524981A (en) * 1975-07-02 1977-01-14 Hitachi Ltd Data collecting circuit
JPS6070474A (en) * 1983-09-28 1985-04-22 片野 茂樹 Educational equipment utilizing data communication
JPH01189674A (en) * 1988-01-26 1989-07-28 Brother Ind Ltd Electronic learning machine
JPH01245284A (en) * 1988-03-26 1989-09-29 Shinkirou Matsumoto Answer data processor for learning test
JPH02248982A (en) * 1989-03-23 1990-10-04 Mitsubishi Electric Corp Understanding degree evaluation system of learning device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002215016A (en) * 2001-01-18 2002-07-31 Eikoh Inc Method for analyzing exercise of entrance examination question and storage medium for system of the same

Similar Documents

Publication Publication Date Title
Akhmedov Analysis of the Reliability of the Test form of Knowledge Control in Cluster Education
Goslin Teachers and testing
Hambleton et al. Issues, designs, and technical guidelines for adapting tests into multiple languages and cultures
Bauer et al. Mapping variety in public understanding of science
Zimmaro Writing good multiple-choice exams
Lin et al. Effects of spell checkers on English as a second language students’ incidental spelling learning: a cognitive load perspective
Embretson FOCUS ARTICLE: the second century of ability testing: some predictions and speculations
Neumann et al. Validation of a touch screen tablet assessment of early literacy skills and a comparison with a traditional paper-based assessment
Erlinawati et al. Test Validity and Reliability in Learning Evaluation
Savage et al. Predicting curriculum and test performance at age 7 years from pupil background, baseline skills and phonological awareness at age 5
Zamri Ariffin et al. The Readability of The Arabic Prose Text
JPH05281900A (en) Test analysis simulation system
Pratiwi et al. The Correlation Between Writing Motivation and Writing Achievement
Anyadiegwu Communicative competence and general studies in English in tertiary institutions in Nigeria
He et al. Assessing pupils at the age of 16 in England–approaches for effective examinations
Wirastuti et al. THE CORRELATION BETWEEN GRAMMAR MASTERY AND WRITING ABILITY
Assadi Aidinlou et al. The relationship between Iranian EFL learners' reading comprehension, vocabulary size and lexical coverage of the text: the case of narrative and argumentative genres
Hobbs et al. Using Neural Networks to Reinforce Absence of Gender Bias in Dyslexia Screenings
Wildanur Analysis of English Entrance Tests at Senior High Schools
Ellett Teacher Assessments of Principals Performances: Their Validity and Independence of School Size and Other Characteristics.
Setyawati et al. Cooperative Integrated Reading and Composition (CIRC) on Writing Achievement across Self-Efficacy
Hutagalung THE INFLUENCE OF THINK TALK WRITE STRATEGY TO THE STUDENTSABILITY IN WRITING
Bazrafshan Cultural identity and attitudes: Iranian EFL context
Nayak et al. V for vocab: An intelligent flashcard application
DARAZO et al. PLACEMENT EXAMINATION AS A PREDICTOR OF STUDENTS PERFORMANCE ON SENIOR SECONDARY SCHOOL QUALIFIED EXAMINATION (SSCQE) IN KANO STATE, NIGERIA