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Kirk Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Gaming the system, characterized by attempting to progress through a learning activity without engaging in essential learning behaviors, remains a persistent problem in computer-based learning platforms. This paper examines a simple intervention to mitigate the harmful effects of gaming the system by evaluating the impact of immediate feedback on…
Descriptors: Outcomes of Education, Ethics, Student Behavior, Electronic Learning
Zwanch, Karen – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
The appropriateness of guess and check as a problem-solving strategy has been debated. This qualitative study examines the use of guess and check by middle-grades students to solve linear systems of equations. Students' reasoning is examined within the number sequences framework, which is based in part on students' units coordination. Only…
Descriptors: Guessing (Tests), Middle School Students, Problem Solving, Mathematics Education
Lang, David – Grantee Submission, 2019
Whether high-stakes exams such as the SAT or College Board AP exams should penalize incorrect answers is a controversial question. In this paper, we document that penalty functions can have differential effects depending on a student's risk tolerance. Moreover, literature shows that risk aversion tends to vary along other areas of concern such as…
Descriptors: High Stakes Tests, Risk, Item Response Theory, Test Bias
McKenna, Peter – International Association for Development of the Information Society, 2018
Multiple Choice Questions come with the correct answer. Examinees have various reasons for selecting their answer, other than knowing it to be correct. Yet MCQs are common as summative assessments in the education of Computer Science and Information Systems students. To what extent can MCQs be answered correctly without knowing the answer; and can…
Descriptors: Multiple Choice Tests, Summative Evaluation, Student Evaluation, Evaluation Methods
Chu, Wei; Pavlik, Philip I., Jr. – International Educational Data Mining Society, 2023
In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…
Descriptors: Reaction Time, Accuracy, Models, Predictor Variables
Kane, Joanne; Chen, Juan; Ripkey, Douglas R. – AERA Online Paper Repository, 2016
We explore whether the item characteristics of four-response multiple-choice questions with "paired" (non-independent) response options differ from those with unpaired response options in an operational licensure exam in terms of guessing behavior. Our analyses suggest that they do not. We discuss conditions where response pairing might…
Descriptors: Test Items, Multiple Choice Tests, Licensing Examinations (Professions), Guessing (Tests)
Novacek, Paul – International Association for Development of the Information Society, 2013
Traditional knowledge assessments rely on multiple-choice type questions that only report a right or wrong answer. The reliance within the education system on this technique infers that a student who provides a correct answer purely through guesswork possesses knowledge equivalent to a student who actually knows the correct answer. A more complete…
Descriptors: Adult Learning, Multiple Choice Tests, Guessing (Tests), Confidence Testing
Jack, Brady Michael; Liu, Chia-Ju; Chiu, Hoan-Lin; Shymansky, James A. – Online Submission, 2009
This proposal presents the results of a case study involving five 8th grade Taiwanese classes, two mathematics and three science classes. These classes used a new method of testing called confidence wagering. This paper advocates the position that confidence wagering can predict the accuracy of a student's test answer selection during…
Descriptors: Student Attitudes, Testing, Grade 8, Teaching Methods
Kurz, Terri Barber – 1999
Multiple-choice tests are generally scored using a conventional number right scoring method. While this method is easy to use, it has several weaknesses. These weaknesses include decreased validity due to guessing and failure to credit partial knowledge. In an attempt to address these weaknesses, psychometricians have developed various scoring…
Descriptors: Algorithms, Guessing (Tests), Item Response Theory, Multiple Choice Tests
Batley, Rose-Marie; Boss, Marvin W. – 1989
The purpose of this study was to assess the effects of correlated dimensions and differential ability on one dimension on parameter estimation when using a two-dimensional item response theory model. Multidimensional analysis of simulated two-dimensional item response data fitting the M2PL model of M. D. Reckase (1985, 1986) was conducted using…
Descriptors: Aptitude Tests, Computer Simulation, Computer Software, Estimation (Mathematics)
Klaas, Alan C. – 1975
Current usage and theory of standard error of measurement calls for one standard error of measurement figure to be used across all levels of scoring. The study revealed that scoring variance across scoring levels is not constant. As scoring ability increases scoring variance decreases. The assertion that low and high scoring subjects will…
Descriptors: Error of Measurement, Guessing (Tests), Scoring, Statistical Analysis
Roudabush, Glenn E. – 1974
The empirical relationships among about 90 reading objectives were examined. The objectives span late first-grade through the sixth-grade (nominally). The results of contingency analyses and correlational analyses are reported. The identification of learning hierachies is stressed. Such hierarchies are apparent in the early learning of reading…
Descriptors: Cognitive Objectives, Correlation, Criterion Referenced Tests, Elementary Education
Reckase, Mark D. – 1981
The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the…
Descriptors: Cluster Analysis, Factor Analysis, Guessing (Tests), Latent Trait Theory
Frary, Robert B. – 1980
Ordinal response modes for multiple choice tests are those under which the examinee marks one or more choices in an effort to identify the correct choice, or include it in a proper subset of the choices. Two ordinal response modes: answer-until-correct, and Coomb's elimination of choices which examinees identify as wrong, were analyzed for scoring…
Descriptors: Guessing (Tests), Multiple Choice Tests, Responses, Scoring
Hutten, Leah R. – 1980
The results of this study suggest that for purposes of estimating ability by latent trait methods, the Rasch model compares favorably with the three-parameter logistic model. Using estimated parameters to make predictions about 25 actual number-correct score distributions with samples of 1,000 cases each, those predicted by the Rasch model fit the…
Descriptors: Factor Structure, Goodness of Fit, Guessing (Tests), Latent Trait Theory