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Direct linkJihong Zhang; Jonathan Templin; Xinya Liang – Journal of Educational Measurement, 2024
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
Jihong Zhang – ProQuest LLC, 2022
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
Download full textMelina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
Jang, Yoona; Hong, Sehee – Educational and Psychological Measurement, 2023
The purpose of this study was to evaluate the degree of classification quality in the basic latent class model when covariates are either included or are not included in the model. To accomplish this task, Monte Carlo simulations were conducted in which the results of models with and without a covariate were compared. Based on these simulations,…
Descriptors: Classification, Models, Prediction, Sample Size
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Mayer, Christian W. F.; Ludwig, Sabrina; Brandt, Steffen – Journal of Research on Technology in Education, 2023
This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…
Descriptors: Prompting, Classification, Artificial Intelligence, Natural Language Processing
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Roberts, Angela; Aveni, Katharine; Basque, Shalane; Orange, Joseph B.; McLaughlin, Paula; Ramirez, Joel; Troyer, Angela K.; Gutierrez, Stephanie; Chen, Angie; Bartha, Robert; Binns, Malcolm A.; Black, Sandra E.; Casaubon, Leanne K.; Dowlatshahi, Dar; Hassan, Ayman; Kwan, Donna; Levine, Brian; Mandzia, Jennifer; Sahlas, Demetrios J.; Scott, Christopher J. M.; Strother, Stephen; Sunderland, Kelly M.; Symons, Sean; Swartz, Richard – Topics in Language Disorders, 2021
Purpose: Dementia due to cerebrovascular disease (CVD) is common. Detecting early cognitive decline in CVD is critical because addressing risk factors may slow or prevent dementia. This study used a multidomain discourse analysis approach to determine the spoken language signature of CVD-related cognitive impairment. Method: Spoken language and…
Descriptors: Prediction, Discourse Analysis, Language Impairments, Dementia
Klingbeil, David A.; Van Norman, Ethan R.; Osman, David J.; Berry-Corie, Kimberly; Carberry, Caroline K.; Kim, Jessica S. – Journal of Psychoeducational Assessment, 2023
Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…
Descriptors: Comparative Analysis, Benchmarking, Evaluation Methods, Screening Tests
Vernon, Marlo M.; Yang, Frances M. – Research in Higher Education, 2023
The aim of this study is to profile academic institutions (n = 127) based on publications, citations in the top 10% of journals, patent citations in Food and Drug Administration (FDA) approvals, clinical trials with uploaded results, contributions to clinical practice guidelines, awarded patents, start-ups, and licenses generating income in…
Descriptors: Health Services, Citations (References), Classification, Public Health
Singer, Gonen; Golan, Maya; Rabin, Neta; Kleper, Dvir – European Journal of Engineering Education, 2020
The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…
Descriptors: Learning Disabilities, Academic Accommodations (Disabilities), Undergraduate Students, Engineering Education
Raj, Gaurav; Mahajan, Manish; Singh, Dheerendra – International Journal of Web-Based Learning and Teaching Technologies, 2020
In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust,…
Descriptors: Trust (Psychology), Models, Decision Making, Computer Software
Gillespie, Stephanie; Laures-Gore, Jacqueline; Moore, Elliot; Farina, Matthew; Russell, Scott; Haaland, Benjamin – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The current study aimed to identify objective acoustic measures related to affective state change in the speech of adults with post-stroke aphasia. Method: The speech of 20 post-stroke adults with aphasia was recorded during picture description and administration of the Western Aphasia Battery--Revised (Kertesz, 2006). In addition,…
Descriptors: Adults, Aphasia, Speech, Neurological Impairments
Siebrase, Benjamin – ProQuest LLC, 2018
Multilayer perceptron neural networks, Gaussian naive Bayes, and logistic regression classifiers were compared when used to make early predictions regarding one-year college student persistence. Two iterations of each model were built, utilizing a grid search process within 10-fold cross-validation in order to tune model parameters for optimal…
Descriptors: Classification, College Students, Academic Persistence, Bayesian Statistics
