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Becker, Benjamin; Weirich, Sebastian; Goldhammer, Frank; Debeer, Dries – Journal of Educational Measurement, 2023
When designing or modifying a test, an important challenge is controlling its speededness. To achieve this, van der Linden (2011a, 2011b) proposed using a lognormal response time model, more specifically the two-parameter lognormal model, and automated test assembly (ATA) via mixed integer linear programming. However, this approach has a severe…
Descriptors: Test Construction, Automation, Models, Test Items
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Élisabeth Bélanger; Lorie-Marlène Brault Foisy; Steve Masson – International Journal of Research & Method in Education, 2025
The main objective of this methodological article is to discuss the contribution of response times as a tool in education research. The use of response times in research is largely a legacy of the work carried out in cognitive psychology, which has made it possible to describe the cognitive processes involved in information processing. In…
Descriptors: Educational Research, Reaction Time, Cognitive Processes, Research Methodology
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Fail, Stefanie; Schober, Michael F.; Conrad, Frederick G. – International Journal of Social Research Methodology, 2021
To explore socially desirable responding in telephone surveys, this study examines response latencies in answers to 27 questions in a corpus of 319 audio-recorded voice interviews on iPhones. Response latencies were compared when respondents (a) answered questions on sensitive vs. nonsensitive topics (as classified by online raters); (b) produced…
Descriptors: Telephone Surveys, Handheld Devices, Responses, Interviews
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Finkelman, Matthew D.; de la Torre, Jimmy; Karp, Jeremy A. – International Journal of Testing, 2020
Cognitive diagnosis models (CDMs) have been studied as a means of providing detailed diagnostic information about the skills that have been mastered, and the skills that have not, by examinees. Prior research has examined the use of automated test assembly (ATA) alongside CDMs; however, no previous study has investigated how to perform ATA when a…
Descriptors: Cognitive Measurement, Models, Automation, Test Construction
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Boehm, Udo; Matzke, Dora; Gretton, Matthew; Castro, Spencer; Cooper, Joel; Skinner, Michael; Strayer, David; Heathcote, Andrew – Cognitive Research: Principles and Implications, 2021
Human operators often experience large fluctuations in cognitive workload over seconds timescales that can lead to sub-optimal performance, ranging from overload to neglect. Adaptive automation could potentially address this issue, but to do so it needs to be aware of real-time changes in operators' spare cognitive capacity, so it can provide help…
Descriptors: Prediction, Cognitive Processes, Difficulty Level, Automation
Aaron McVay – ProQuest LLC, 2021
As assessments move towards computerized testing and making continuous testing available the need for rapid assembly of forms is increasing. The objective of this study was to investigate variability in assembled forms through the lens of first- and second-order equity properties of equating, by examining three factors and their interactions. Two…
Descriptors: Automation, Computer Assisted Testing, Test Items, Reaction Time
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Rieger, Tobias; Heilmann, Lydia; Manzey, Dietrich – Cognitive Research: Principles and Implications, 2021
Visual inspection of luggage using X-ray technology at airports is a time-sensitive task that is often supported by automated systems to increase performance and reduce workload. The present study evaluated how time pressure and automation support influence visual search behavior and performance in a simulated luggage screening task. Moreover, we…
Descriptors: Time Management, Travel, Air Transportation, Task Analysis
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Iwarsson, Jenny; Morris, David Jackson; Balling, Laura Winther – Journal of Speech, Language, and Hearing Research, 2017
Purpose: The cognitive load generated by online speech production may vary with the nature of the speech task. This article examines 3 speech tasks used in voice therapy carry-over exercises, in which a patient is required to adopt and automatize new voice behaviors, ultimately in daily spontaneous communication. Method: Twelve subjects produced…
Descriptors: Cognitive Processes, Difficulty Level, Speech Communication, Speech Therapy
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis