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The Reliability of the Posterior Probability of Skill Attainment in Diagnostic Classification Models
Johnson, Matthew S.; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2020
One common score reported from diagnostic classification assessments is the vector of posterior means of the skill mastery indicators. As with any assessment, it is important to derive and report estimates of the reliability of the reported scores. After reviewing a reliability measure suggested by Templin and Bradshaw, this article suggests three…
Descriptors: Reliability, Probability, Skill Development, Classification
Seheryeli, Merve Yildirim; Anil, Duygu – International Journal of Assessment Tools in Education, 2020
This study is a survey study which aims to determine underlying causes of anger and the anger levels of individuals, in the sample cases and mood-states defined in the research. 255 people participated by filling in forms developed by the researcher. They were asked to rank 6 mood-state expressions between 1 and 6, to classify 23 sample case…
Descriptors: Psychological Patterns, Classification, Scaling, Gender Differences
Moreno-Núñez, Ana; Rodríguez, Cintia; Miranda-Zapata, Edgardo – Journal of Child Language, 2020
Within developmental psychology, pointing gestures have received a great deal of attention, while ostensive gestures have been overlooked in terms of their emergence and intentionality. In a longitudinal and micro-genetic study with six children at 9, 11, and 13 months of age, we codified gesture production of children within second-by-second data…
Descriptors: Nonverbal Communication, Classification, Child Development, Longitudinal Studies
Vaccarezza, Maria Silvia – Ethics and Education, 2020
The current "exemplarist turn" within virtue ethics is increasingly shedding light on the importance of exemplars both as enabling one to identify the virtues and for the importance they bear for orienting one's conduct, as well as for educating the novice. However, even if categorizations of exemplars have already been proposed, there…
Descriptors: Ethics, Educational Philosophy, Classification, Values Education
Xue, Linting; Lynch, Collin F. – International Educational Data Mining Society, 2020
In order to effectively grade persuasive writing we must be able to reliably identify and extract extract argument structures. In order to do this we must classify arguments by their structural roles (e.g., major claim, claim, and premise). Current approaches to classification typically rely on statistical models with heavy feature-engineering or…
Descriptors: Persuasive Discourse, Classification, Artificial Intelligence, Statistical Analysis
Jonathan Caleb Clark – ProQuest LLC, 2020
Current recommended cutoffs for determining measurement invariance have typically derived from simulation studies that have focused on multigroup confirmatory factor analysis, often using continuous data. These cutoffs may be inappropriate for ordered categorical data in a longitudinal setting. This study conducts two Monte Carlo studies that…
Descriptors: Measurement, Classification, Models, Longitudinal Studies
Ajao, Adeola; Fitzallen, Noleine; Chick, Helen; Oates, Greg – Mathematics Education Research Group of Australasia, 2023
In this paper, the SOLO taxonomy is used to identify different levels of student understanding of the statistical concepts associated with sampling distribution. This study was part of a research project investigating students' conceptual understanding of concepts of hypothesis testing taught with the support of simulation learning activities. The…
Descriptors: Taxonomy, Statistics Education, Learning Activities, Simulation
Štepánková, Lenka; Urbánek, Tomáš – Journal of Psycholinguistic Research, 2023
The presented study examines the question of colour categorization in relation to the hypothesis of linguistic relativity. The study is based on research conducted by Gilbert et al. (2006) and their claim that linguistic colour categorization in a particular language helps colour recognition and speeds the process of colour discrimination for…
Descriptors: Color, Classification, Psycholinguistics, Visual Discrimination
Ifenthaler, Dirk; Sahin, Muhittin – Interactive Technology and Smart Education, 2023
Purpose: This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection…
Descriptors: College Students, Classification, Self Evaluation (Individuals), Progress Monitoring
Yau, Oscar K. T.; Chin, David C. W.; Hsu, Cathy H. C. – Cogent Education, 2023
Informal learning space (ILS) has increasingly become important for higher education. Yet, most studies were conducted on a piecemeal basis, without considering the planning of the campus. This study adopts a systematic and data-driven approach in understanding the types of ILS, preferences and behaviors using a case study in Hong Kong, by first…
Descriptors: Foreign Countries, Informal Education, Higher Education, Case Studies
Archibald, John – Second Language Research, 2023
In this research note I want to address some misunderstandings about the construct of redeployment and suggest that we need to fit these behavioural data from Yang, Chen and Xiao (YCX) into a broader context. I will suggest that these authors' work is not just about the failure of three models to predict equivalence classification. Equivalence…
Descriptors: Phonology, Contrastive Linguistics, Mandarin Chinese, Russian
Alizadeh, Amin; Kurian, Deepu; Qiu, Shaoping; Dirani, Khalil M. – European Journal of Training and Development, 2023
Purpose: The purpose of this study is to get the perspectives of human resource development (HRD) scholars about connections among HRD, corporate social responsibility and ethics. The authors also sought to discover if HRD academic programs need to have ethics-related courses for their graduate students. Design/methodology/approach: In this paper,…
Descriptors: Ethics, Human Resources, Labor Force Development, Corporations
Villegas, Leslie – Phi Delta Kappan, 2023
The English learner (EL) population has grown by 35% in the last 20 years. However, in addition to new students being identified as ELs, the EL subgroup is being inflated by students who are not being reclassified within a reasonable and developmentally appropriate timeframe. These students, often labeled long term ELs (LTELs), are a product of…
Descriptors: Accountability, English Language Learners, Language Proficiency, Equal Education
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
Selim, Kamal Samy; Rezk, Sahar Saeed – Education and Information Technologies, 2023
Compulsory school-dropout is a serious problem affecting not only the education systems, but also the developmental progress of any country as a whole. Identifying the risk of dropping out, and characterizing its main determinants, could help the decision-makers to draw eradicating policies for this persisting problem and reducing its social and…
Descriptors: Foreign Countries, Dropouts, Predictor Variables, At Risk Students

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