• Title/Summary/Keyword: testing effect

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Testing for Learning: The Forward and Backward Effect of Testing (학습을 위한 시험: 시험의 전방효과와 후방효과)

  • Lee, Hee Seung
    • (The) Korean Journal of Educational Psychology
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    • v.31 no.4
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    • pp.819-845
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    • 2017
  • Although testing is usually done for purposes of assessment, previous research over the past 100 years indicates that testing is an effective tool for learning. Testing or retrieval practice of previously studied materials can enhance learning of that previously studied information and/or learning of subsequently presented new information. The former is referred to as the backward effect of testing whereas the latter is referred to as the forward effect of testing. Thus far, however, the literature has not isolated these two effects and most previous research focused on the backward effect. Only recent laboratory research provided evidence that there is a forward effect of testing. The present study provides a review of research on this forward and backward effect of testing, focusing on testing procedures of the effects, empirical evidence, current theoretical explanations, and issues to resolve in order to make use of testing effect in educational settings. The reviews clearly show that testing enhances memory of previously learned information by working as memory modifier and learning of newly presented information by affecting learners' metacognition, implying that testing is not just an assessment of learning, but also an effective tool for learning.

Modeling Pairwise Test Generation from Cause-Effect Graphs as a Boolean Satisfiability Problem

  • Chung, Insang
    • International Journal of Contents
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    • v.10 no.3
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    • pp.41-46
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    • 2014
  • A cause-effect graph considers only the desired external behavior of a system by identifying input-output parameter relationships in the specification. When testing a software system with cause-effect graphs, it is important to derive a moderate number of tests while avoiding loss in fault detection ability. Pairwise testing is known to be effective in determining errors while considering only a small portion of the input space. In this paper, we present a new testing technique that generates pairwise tests from a cause-effect graph. We use a Boolean Satisbiability (SAT) solver to generate pairwise tests from a cause-effect graph. The Alloy language is used for encoding the cause-effect graphs and its SAT solver is applied to generate the pairwise tests. Using a SAT solver allows us to effectively manage constraints over the input parameters and facilitates the generation of pairwise tests, even in the situations where other techniques fail to satisfy full pairwise coverage.

Estimation in Group Testing when a Dilution Effect exists

  • Kwon, Se-Hyug
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.787-794
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    • 2006
  • In group testing, the test unit consists of a group of individuals and each group is tested to classify units from a population as infected or non-infected or estimate the infection rate. If the test group is infected, one or more individuals in the group are presumed to be infected. It is assumed in group testing that classification of group as positive or negative is without error. But, the possibility of false negatives as a result of dilution effects happens often in practice, specially in many clinical researches. In this paper, dilution effect models in group testing are discussed and estimation methods of infection rate are proposed when a dilution effect exists.

Objective Bayesian Testing for Effect Size in Paired Study

  • Kang, Sang-Gil;Kim, Dal-Ho;Lee, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1477-1489
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    • 2008
  • This article deals with the problem of testing whether the effect size in paired study exists. We propose Bayesian hypothesis testing procedures for the effect size in paired study under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.

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The Quality Analysis Model for Software Testing (소프트웨어 평가를 위한 품질 분석 모델)

  • Jung, Hye-Jung
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.293-298
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    • 2013
  • We consider about software quality nowadays. The company considers about software quality more and more compare to software development. We analyze the software testing data in this paper. We find the software effect according to the number of testing, the number of testing date, the number of fault according to characteristics. Also, we analyze the result by regression. Also, we propose the testing effect by sex.

A Study on the Effect of Integrated Leakage Rate Testing of Containment Vessel due to the Type A Testing Time (격납건물 ILRT 본시험시간이 시험에 미치는 영향에 관한 연구)

  • Kim, Chang-Soo;Moon, Yong-Sig
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.8 no.3
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    • pp.1-6
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    • 2012
  • The containment Integrated Leakage Rate Testing(ILRT) of nuclear power plants in Korea is performed in accordance with NSSC(Nuclear Safety and Security Commission) code 2012-16 and ANSI/ANS 56.8-1994. Nuclear power plants in Korea and the United States are to apply same test criteria, ANSI/ANS 56.8-1994, except type A testing time. NPPs in Korea apply 24 hours according to NSSC code 2012-16, but NPPs in United States apply 8 hours according to 10CFR50 App. J for type A test. So, there are many difficulties in order to perform ILRT in Korea. In this study, I review the impact on the ILRT results and the effect of ILRT due to type A testing time. The future, we will continue study to enhance the test reliability and improve these problems.

Measurement of Adhesion Strength for Ceramic Sheet (세라믹 박판의 접착 강도 측정)

  • Huh, Y.H.;Kim, D.I.;Kim, D.J.;Lee, K.;Kim, D.
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.1798-1802
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    • 2007
  • Adhesion strength of single layer ceramic capacitor sheet was measured using a peel testing system developed in this study. The peel test specimens with various dimensions were prepared from the ceramic sheet cast on the PET film. In peel test, the sheet specimen was adhered on the glass jig floating on the liquid media, which was designed to minimize the friction, and the specimen was then pulled up by micro-actuator. During the separation of the sheet from the PET film, peel force was measured. To normalize the testing condition, 3 different widths of the specimen were selected: 5, 10 and 20 mm. was used Furthermore, testing speed effect was investigated in this study. From the resullts using various testing conditions, the standard method for the peel strength testing may be suggested. Based on the testing condition, effect of peel angle on the strength was experimentally examined. It was found that the adhesive strength for the ceramic sheet is nearly identical, irrespective of the specimen width ranged from 5 to 20 mm, while the adhesive strength was increased with increasing testing speed. Furthermore, the strength was shown to be dependent on the peel angle.

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Power Comparison in a Balanced Factorial Design with a Nested Factor

  • Choi, Young-Hun
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1059-1071
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    • 2008
  • In a balanced factorial design with a nested factor where crossed factors as well as a nested factor exist simultaneously, powers of the rank transformed FR statistic for testing the main, nested and interaction effects are superior to those of the parametric F statistic. In heavy tailed distributions such as exponential and double exponential distributions, powers of the FR statistic show much higher level than those of the F statistic. Further powers of the F and FR statistic for testing the main effect show the highest level in an absolute size as compared with powers of the F and FR statistic for testing the nested and interaction effects. However powers of the FR statistic for testing the nested and interaction effects rather than the main effect are greater in a relative size than powers of F statistic for the all population distributions.

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A Study on the Relationship between Service Quality, Customer Satisfaction, and Long-term Orientation for Eco-Friendly Car Maintenance Using Service Profit Chain Model: Focusing on Comparison between Internal and External Customers (서비스 이익 사슬 모델을 활용한 친환경 자동차 정비 서비스품질, 고객만족, 장기지향성 간의 관계에 대한 연구: 내부 및 외부 고객 간 비교를 중심으로)

  • Jung Yup Hwang;Chan Kwon Park;Chae Bogk Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.2
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    • pp.82-101
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    • 2023
  • This study is to identify the maintenance service quality of eco-friendly cars, which are rapidly increasing recently. Research is conducted by synthesizing research from the perspectives of internal employees and external customers by using the service profit chain model. Specifically, it is to study the overall structural relationship between internal customer satisfaction, physical quality, interaction quality, outcome quality, external customer satisfaction and long-term orientation. For the study, 202 questionnaires were collected from internal employees and 204 questionnaires from external customers. The results of testing the research hypotheses targeting the internal employee group are as follows. As a result of testing hypothesis 1, internal customer satisfaction has a significant positive (+) effect on physical quality and interaction quality. As a result of testing hypothesis 2, the service quality of eco-friendly car maintenance has a significant positive (+) effect on each other. As a result of testing hypothesis 3, physical quality and outcome quality have a significant positive (+) effect on external customer satisfaction. The results of testing the research hypotheses targeting an external customer group are as follows. As a result of testing hypothesis 2, in the relationship between eco-friendly car maintenance service quality, physical quality has a significant positive (+) effect on interaction quality, and interaction quality has a significant positive (+) effect on outcome quality. As a result of testing hypothesis 3, interaction quality and outcome quality have a significant positive (+) effect on external customer satisfaction. As a result of testing Hypothesis 4, external customer satisfaction has a significant positive (+) effect only on intention to reuse. Finally, as a result of examining the difference in perception between the internal employee group and the external customer group in eco-friendly car maintenance service quality and external customer satisfaction, it was verified that there was a significant difference only in outcome quality and external customer satisfaction.