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Umut Zeki; Tolgay Karanfiller; Kamil Yurtkan – Education and Information Technologies, 2024
The developmental, characteristics and educational competencies of students who need special education are developing slowly in compared to their agemates. This is because their expressive language is different. In order to overcome these challenges, assistive technologies can be used under the supervision of the teachers. In this paper, a person…
Descriptors: Special Education, Expressive Language, Assistive Technology, Artificial Intelligence
Meriem Zerkouk; Miloud Mihoubi; Belkacem Chikhaoui; Shengrui Wang – Education and Information Technologies, 2024
School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…
Descriptors: Artificial Intelligence, Dropouts, Prediction, Distance Education
Jing Ma – ProQuest LLC, 2024
This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…
Descriptors: Scoring, Adaptive Testing, Test Items, Classification
Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
Reveka Voulgari; Konstantina Koutrouba – Educational Studies, 2024
The present research aims to identify the depth of reflection attained by primary school teachers through the Critical Incident Technique (CIT) according to the categorisation of Lee (2005) and specific factors that could determine a higher level of reflection. For the first research phase twenty teacher semi-structured interviews were conducted.…
Descriptors: Elementary School Teachers, Critical Incidents Method, Reflection, Classification
Elena Cano García; Andrea Jardí Ferré; Laia Lluch Molins; Ludmila Martins Gironelli – Assessment & Evaluation in Higher Education, 2024
Evaluative judgement is the ability to understand what constitutes the quality of a performance or product and to apply this understanding in the evaluation of one's own or another's task. It is, therefore, a key element in the development of learning to learn competences linked to professionalism. Experiences that explicitly encourage it in…
Descriptors: Feedback (Response), Peer Evaluation, Evaluative Thinking, College Students
Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
V. N. Vimal Rao; Jeffrey K. Bye; Sashank Varma – Cognitive Research: Principles and Implications, 2024
The 0.05 boundary within Null Hypothesis Statistical Testing (NHST) "has made a lot of people very angry and been widely regarded as a bad move" (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What is the psychological standing of the 0.05 boundary for statistical significance? We…
Descriptors: Psychological Patterns, Statistical Analysis, Testing, Statistical Significance
Brian Hayden – ProQuest LLC, 2024
Pidgins, narrowly defined, are auxiliary languages reserved for communication with linguistic outgroups. Although implicitly recognized as a class of languages by many linguists, there has been little systematic typological investigation of pidgins. This dissertation presents the first large-scale typological study of morphology and functional…
Descriptors: Pidgins, Morphology (Languages), Language Classification, Language Variation
Manuel Salas-Velasco – European Educational Research Journal, 2024
European countries differ widely in terms of vocational education and training (VET) tradition and the delivery of VET at the upper secondary level. A statistical approach to build a classification of VET systems in Europe is presented in the present article on the grounds of the size of the vocational enrollment, on the one hand, and the…
Descriptors: Vocational Education, Cross Cultural Studies, Classification, Foreign Countries
Kjersti E. Dahl – Journal of Social Science Education, 2024
Purpose: This study explores debate seeking and conflict avoidance as dimensions of disagreement orientation, and how factors such as citizenship education and individual background may impact how young people engage in situations with conflicting political perspectives. The aim is to study whether how we facilitate citizenship education may…
Descriptors: Citizenship Education, Factor Analysis, Secondary School Students, Political Attitudes
Melina 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
Chunhua Cao; Benjamin Lugu; Jujia Li – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study examined the false positive (FP) rates and sensitivity of Bayesian fit indices to structural misspecification in Bayesian structural equation modeling. The impact of measurement quality, sample size, model size, the magnitude of misspecified path effect, and the choice or prior on the performance of the fit indices was also…
Descriptors: Structural Equation Models, Bayesian Statistics, Measurement, Error of Measurement
Patient Rambe – Studies in Higher Education, 2024
The South African government announcement on revisiting the Policy for the Recognition of Higher Education Institutional Types has caused anxiety and ambivalence among Universities of Technology (UoTs), institutions that lack a solid foundation for conducting leading research. Most underperforming UoTs feared a possible downgrade or…
Descriptors: Foreign Countries, Research, Productivity, Educational Policy
Kimberly L. Henry; Linda R. Stanley; Randall C. Swaim – Prevention Science, 2024
Reservation-dwelling American Indian adolescents are at exceedingly high risk for cannabis use. Prevention initiatives to delay the onset and escalation of use are needed. The risk and promotive factors approach to substance use prevention is a well-established framework for identifying the timing and targets for prevention initiatives. This study…
Descriptors: Risk, Marijuana, Drug Use, American Indians