A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.

E Ulitzsch, S Nestler, O Lüdtke, G Nagy - Psychological Methods, 2024 - psycnet.apa.org
Ecological momentary assessment (EMA) involves repeated real-time sampling of
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 …

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 …

[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 …

A probabilistic filtering approach to non‐effortful responding

E Ulitzsch, BW Domingue, R Kapoor… - … : Issues and Practice, 2023 - Wiley Online Library
Common response‐time‐based approaches for non‐effortful response behavior (NRB) in
educational achievement tests filter responses that are associated with response times …

[HTML][HTML] The effects of personalized nudges on cognitively disengaged student behavior in low-stakes assessments

B Arslan, B Finn - Journal of Intelligence, 2023 - mdpi.com
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 …

Unsupervised anomaly detection in sequential process data

O Bulut, G Gorgun, S He - Zeitschrift für Psychologie, 2024 - econtent.hogrefe.com
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 …

Artificial intelligence on the advance to enhance educational assessment: Scientific clickbait or genuine gamechanger?

F Zehner, C Hahnel - Journal of computer assisted learning, 2023 - Wiley Online Library
Abstract Contributions in the Special Issue The special issue assembles papers centring
around log data analysis, natural language processing, and machine learning used to …