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Hybrid cognitive diagnostic model
Behaviormetrika, 2020 Cognitive diagnostic models can be classified into two categories based on the type of interaction between attributes: disjunctive and conjunctive. A representative example of the former is the “Deterministic Input Noisy-Or gate” (DINO) model, and of the latter is the “Deterministic Input Noisy-And gate” (DINA) model.
Kazuhiro Yamaguchi, Kensuke Okada
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Modeling Not-Reached Items in Cognitive Diagnostic Assessments
Frontiers in Psychology, 2022 In cognitive diagnostic assessments with time limits, not-reached items (i.e., continuous nonresponses at the end of tests) frequently occur because examinees drop out of the test due to insufficient time. Oftentimes, the not-reached items are related to examinees’ specific cognitive attributes or knowledge structures. Thus, the underlying missing data
Lidan Liang +5 more
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Validation of cognitive models for subtraction of time involving years and centuries
International Journal of Assessment Tools in Education, 2023 Years and Centuries are the measurement units used to quantify a longer time duration, while subtraction is the operation required to determine the duration based on two given time points.
Huan Chın, Cheng Meng Chew
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Frontiers in Psychology, 2021 In response to the big data era trend, statistics has become an indispensable part of mathematics education in junior high school. In this study, a pre-test and a post-test were developed for the six attributes (sort, median, average, variance, weighted ...
He Ren +4 more
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Evolving Understandable Cognitive Models [PDF]
, 2022 Cognitive models for explaining and predicting human performance in experimental settings are often challenging to develop and verify. We describe a process to automatically generate the programs for cognitive models from a user-supplied specification ...
Pirrone, Angelo +4 more
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On the Identifiability of Cognitive Diagnostic Models: Diagnosing Students’ Translation Ability
Journal of Language and Education, 2023 Background. In recent years Cognitive Diagnostic Models (CDMs) have attracted a great deal of attention from researchers in a variety of educational fields. However, they have not been taken into consideration in Translation Quality Assessment (TQA), in
Mona Tabatabaee-Yazdi, Aynaz Samir
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New Plithogenic sub cognitive maps approach with mediating effects of factors in COVID-19 diagnostic model [PDF]
Journal of Fuzzy Extension and Applications, 2021 The escalation of COVID-19 curves is high and the researchers worldwide are working on diagnostic models, in the way this article proposes COVID-19 diagnostic model using Plithogenic cognitive maps.
Nivetha Martin +2 more
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NeuralNCD: A Neural Network Cognitive Diagnosis Model Based on Multi-Dimensional Features
Applied Sciences, 2022 One of the most critical functions of modern intelligent teaching technology is cognitive diagnostics. Traditional cognitive diagnostic models (CDMs) usually use designed functions to deal with the linear interaction between students and exercises, but ...
Guangquan Li +6 more
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Examining DIF in the Context of CDMs When the Q-Matrix Is Misspecified
Frontiers in Psychology, 2018 The rise in popularity and use of cognitive diagnostic models (CDMs) in educational research are partly motivated by the models’ ability to provide diagnostic information regarding students’ strengths and weaknesses in a variety of content areas.
Dubravka Svetina +5 more
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Meta-analysis and meta-modelling for diagnostic problems [PDF]
, 2014 BackgroundA proportional hazards measure is suggested in the context of analyzing SROC curves that arise in the meta–analysis of diagnostic studies. The measure can be motivated as a special model: the Lehmann model for ROC curves.
Suphada Charoensawat +7 more
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