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Lipman, Corey; Williams, Amanda; Kawakami, Kerry; Steele, Jennifer R. – Developmental Psychology, 2021
Across three studies, we examined non-Black children's spontaneous associations with targets who differed by both race and emotional expression. Children aged 5 to 10 years (N = 419; 215 girls; 58% White; 65% of household incomes >$75,000/year) completed Implicit Association Tests (IAT; Greenwald et al., 2003) containing smiling Black and…
Descriptors: Association (Psychology), Children, Race, Affective Behavior
Anette Kolmos; Jette Egelund Holgaard; Henrik Worm Routhe; Maiken Winther; Lykke Bertel – European Journal of Engineering Education, 2024
Problem- and project-based learning (PBL) is often highlighted as a valuable approach for addressing the need for interdisciplinarity in engineering education. However, studies indicate that applied projects in engineering education tend to be limited to a single discipline. This article presents a new project typology which can be applied in…
Descriptors: Student Projects, Interdisciplinary Approach, Teamwork, Active Learning
Chih-Hsuan Chen; Chia-Ru Chung; Hsuan-Yu Yang; Shih-Ching Yeh; Eric Hsiao-Kuang Wu; Hsin-Jung Ting – IEEE Transactions on Learning Technologies, 2024
Possible symptoms of intellectual disability (ID) include delayed physical development that becomes more pronounced as the disability progresses, delayed development of gross and fine motor skills, sensory perception problems, and difficulty grasping the integrity of objects. Although there is no cure or reversal, research has shown that extensive…
Descriptors: Intellectual Disability, Disability Identification, Simulated Environment, Computer Simulation
Lientje Maas; Matthew J. Madison; Matthieu J. S. Brinkhuis – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…
Descriptors: Clinical Diagnosis, Classification, Models, Psychometrics
Madeline A. Schellman; Matthew J. Madison – Grantee Submission, 2024
Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
How Does a Motivational Gamification Typology Describe Learner Participation in Gamified Activities?
Annetta R. Dolowitz – ProQuest LLC, 2024
Since 2010, gamification, a concept and practice, gained attention in academic research. Results of its effectiveness were mixed and often lacked the use of grounded models or frameworks. Dichev et al. (2019b) proposed the existence of demotivational factors and highlighted two distinct sets of motivational drivers--one linked to game elements and…
Descriptors: Student Participation, Student Motivation, Gamification, Learning Activities
Henna Iqbal; Kenneth Onyedibe – Journal of Microbiology & Biology Education, 2024
Bacteria form an intense portion of reading and learning for students enrolled in microbiology education. As a part of the foundational course outline of bacteriology, bacterial classification is a significant topic of discussion. The purpose of our study was to analyze whether bacterial classification can be taught with a phylogenetic tree…
Descriptors: Microbiology, Science Instruction, Classification, Medical Education
Emanuel Bylund; Steven Samuel; Panos Athanasopoulos – Language Learning, 2024
Research has shown that speakers of different languages may differ in their cognitive and perceptual processing of reality. A common denominator of this line of investigation has been its reliance on the sensory domain of vision. The aim of our study was to extend the scope to a new sense-taste. Using as a starting point crosslinguistic…
Descriptors: Foreign Countries, Language Usage, Classification, Language Processing
Daniel Murphy; Sarah Quesen; Matthew Brunetti; Quintin Love – Educational Measurement: Issues and Practice, 2024
Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…
Descriptors: Classification, Growth Models, Accuracy, Performance Based Assessment
Mehmet Can Demir; Kübra Atalay-Kabasakal; Murat Dogan Sahin – Turkish Journal of Education, 2024
Previous researchers have identified socioeconomic status as a significant predictor of achievement/literacy. However, it is important to recognize that the influence of socioeconomic status on literacy may vary at different levels of socioeconomic status. Thus, this study analyzes the relationship between socioeconomic status and literacy scores…
Descriptors: Socioeconomic Status, Scores, Correlation, Classification
Paulina Berríos; Estefanía Álvarez; Karen Gutiérrez; Antonia Santos – Association for Institutional Research, 2024
This article delves into the challenges of institutional data collection processes in higher education, particularly regarding diversity reporting. The study this article is based on focuses on enhancing inclusivity by introducing a nonbinary sex category into the institutional data of a distinguished Chilean public university. In the Chilean…
Descriptors: Gender Identity, LGBTQ People, Classification, Data Collection
Daniel McNeish; Patrick D. Manapat – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A recent review found that 11% of published factor models are hierarchical models with second-order factors. However, dedicated recommendations for evaluating hierarchical model fit have yet to emerge. Traditional benchmarks like RMSEA <0.06 or CFI >0.95 are often consulted, but they were never intended to generalize to hierarchical models.…
Descriptors: Factor Analysis, Goodness of Fit, Hierarchical Linear Modeling, Benchmarking
Roman Abel; Anique de Bruin; Erdem Onan; Julian Roelle – Educational Psychology Review, 2024
Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…
Descriptors: Sequential Learning, Learning Strategies, Interference (Learning), Classification
Fang Gao – British Educational Research Journal, 2024
China's grand strategies (i.e., the Belt and Road Initiative and the Guangdong--Hong Kong--Macao Greater Bay Area) have expedited the popularity of full-time degree-bearing study in mainland China. Associated with the exponential growth of inward student populations are proliferating concerns about the capacity of non-majority/non-local students…
Descriptors: Sense of Community, College Students, Foreign Students, Foreign Countries
Rebecca Heaton – Research in Education, 2024
This article shares research, an empirical psychological case study, about cognition in higher degree art education. It proposes cognitive curation as a concept and practice that can develop knowledge and learning autonomy in and beyond the academy. Informed by the autoethnographic stories, interviews, and artworks of three academic art educators,…
Descriptors: Art Education, Knowledge Level, Personal Autonomy, Ethnography

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