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A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.
Ecological momentary assessment (EMA) involves repeated real-time sampling of
respondents' current behaviors and experiences. The intensive repeated assessment …
respondents' current behaviors and experiences. The intensive repeated assessment …
A Systematic Review of the Use of Log-based Process Data in Computer-Based Assessments
S He, Y Cui - Computers & Education, 2025 - Elsevier
In recent decades, log-based process data has been increasingly used in computer-based
assessments to examine test-takers' response patterns and latent traits. This study provides …
assessments to examine test-takers' response patterns and latent traits. This study provides …
Using response times for joint modeling of careless responding and attentive response styles
E Ulitzsch, S Pohl, L Khorramdel… - … of Educational and …, 2024 - journals.sagepub.com
Questionnaires are by far the most common tool for measuring noncognitive constructs in
psychology and educational sciences. Response bias may pose an additional source of …
psychology and educational sciences. Response bias may pose an additional source of …
[HTML][HTML] Test-taking motivation and performance: Do self-report and time-based measures of effort reflect the same aspects of test-taking motivation?
H Akhtar, R Firdiyanti - Learning and Individual Differences, 2023 - Elsevier
Several studies found a low correlation between two measures of test-taking effort: self-
reported effort (SRE) and response time effort (RTE). This study examined test-taking …
reported effort (SRE) and response time effort (RTE). This study examined test-taking …
A probabilistic filtering approach to non‐effortful responding
Common response‐time‐based approaches for non‐effortful response behavior (NRB) in
educational achievement tests filter responses that are associated with response times …
educational achievement tests filter responses that are associated with response times …
Rapid guessing in low-stakes assessments: Finding the optimal response time threshold with random search and genetic algorithm
Rapid guessing is an aberrant response behavior that commonly occurs in low-stakes
assessments with little to no formal consequences for students. Recently, the availability of …
assessments with little to no formal consequences for students. Recently, the availability of …
[HTML][HTML] The effects of personalized nudges on cognitively disengaged student behavior in low-stakes assessments
In educational settings, students rely on metacognitive processes to determine whether or
not to exert effort. We investigated ways to minimize cognitively disengaged responses (ie …
not to exert effort. We investigated ways to minimize cognitively disengaged responses (ie …
Using a novel multiple-source indicator to investigate the effect of scale format on careless and insufficient effort responding in a large-scale survey experiment
Common indicator-based approaches to identifying careless and insufficient effort
responding (C/IER) in survey data scan response vectors or timing data for aberrances, such …
responding (C/IER) in survey data scan response vectors or timing data for aberrances, such …
Unsupervised anomaly detection in sequential process data
In this study, we present three types of unsupervised anomaly detection to identify
anomalous test-takers based on their action sequences in problem-solving tasks. The first …
anomalous test-takers based on their action sequences in problem-solving tasks. The first …
Artificial intelligence on the advance to enhance educational assessment: Scientific clickbait or genuine gamechanger?
Abstract Contributions in the Special Issue The special issue assembles papers centring
around log data analysis, natural language processing, and machine learning used to …
around log data analysis, natural language processing, and machine learning used to …