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Kristy J. Wilson; Allison K. Chatterjee – Biochemistry and Molecular Biology Education, 2024
Students often see college courses as the presentation of disconnected facts, especially in the life sciences. Student-created Structure Mechanism/Relationship Function (SMRF) models were analyzed to understand students' abilities to make connections between genotype, phenotype, and evolution. Students were divided into two sections; one section…
Descriptors: College Students, Genetics, Models, Classification
Kristin M. Frank; Alexei Kolesnikov; Xiaoyin Wang – Journal of Postsecondary Student Success, 2025
We introduce a new metric--the classification power--to examine the effectiveness of postsecondary mathematics placement policies. This metric addresses the methodological challenges of contextualizing the effectiveness of a single placement policy and comparing the effectiveness of multiple placement policies across different student populations.…
Descriptors: Postsecondary Education, Mathematics Instruction, Student Placement, College Students
Yiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
Alexandra Jackson; Cheryl Bodnar; Elise Barrella; Juan Cruz; Krista Kecskemety – Journal of STEM Education: Innovations and Research, 2025
Recent curricular interventions in engineering education have focused on encouraging students to develop an entrepreneurial mindset (EM) to equip them with the skills needed to generate innovative ideas and address complex global problems upon entering the workforce. Methods to evaluate these interventions have been inconsistent due to the lack of…
Descriptors: Engineering Education, Entrepreneurship, Concept Mapping, Student Evaluation
David Wees – Natural Sciences Education, 2024
Requiring students to create weed collections is a common technique for teaching weed identification. Data compiled over 18 years from students' weed collections in a college-level course included over 350 species of plants. Almost half of the specimens belonged to the Asteraceae or Poaceae. The 30 most frequently collected species accounted for…
Descriptors: Agricultural Education, Plants (Botany), Identification, Teaching Methods
Marina Flores de Lizaur Gavilanes; Benito León del Barco – Electronic Journal of Research in Educational Psychology, 2024
Introduction: The aim of this study is to identify which parenting styles are associated with optimal outcomes for in the psychological wellbeing of university students in Extremadura. The participants were 400 students from Extremadura, aged between 18 and 30, 80% of whom were women and 20% men. Parenting styles were divided into three categories…
Descriptors: Parenting Styles, Well Being, College Students, Foreign Countries
Bauman, Isabelle – Communication Teacher, 2023
Courses: Communication Theory; Research Methods; Mass Communication Theory. Objectives: This activity introduces students to the socially constructed nature of theorizing through having a few students sort a bag of random items in ways of their choice. The class then discusses the categories of sorted items in terms of their properties as theories…
Descriptors: Communication (Thought Transfer), Teaching Methods, Classification, Class Activities
Lauren A. Mason; Abigail Miller; Gregory Hughes; Holly A. Taylor – Cognitive Research: Principles and Implications, 2025
False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…
Descriptors: Error Correction, Error Patterns, Evaluation Methods, Visual Aids
Karly S. Ford; Megan Holland Iantosca; Leandra Cate – Educational Researcher, 2025
In scholarly research, racial categories are typically taken for granted. However, race categories vary over time and geography and reflect the social beliefs of the people who use them. Informed by quantitative critical race theory analysis, we interrogate how race categories align (or not) with 24,000 U.S. higher education students' responses to…
Descriptors: College Students, Self Concept, Racial Identification, Classification
Kim, Nayoung; Oh, JungSu – Measurement and Evaluation in Counseling and Development, 2023
We investigated the effect of careless or insufficient effort (C/IE) responses in a study using Amazon's Mechanical Turk. A factor mixture model was used to identify latent classes based on the pattern of responses with biases and examine the effect of C/IE responses on the fit of the theoretical model.
Descriptors: Counseling, Research, Responses, College Students
Priya Patel; Harsh Pandya; Rajiv Ranganathan; Mei-Hua Lee – Journal of Motor Learning and Development, 2024
Manual exploratory behaviors during object interaction that form the basis of tool use behavior, are mostly qualitatively characterized in terms of their frequency and duration of occurrence. To fully understand their functional and clinical significance, quantitative movement characterization is needed alongside their qualitative analysis.…
Descriptors: Discovery Learning, Toys, Measurement Equipment, Object Manipulation
Abel, Roman; Brunmair, Matthias; Weissgerber, Sophia Christin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Research on study sequences has not considered the cross-classification of to-be-learned categories. In two experiments, we utilized cross-classified exemplars, which simultaneously belonged to categories of two orthogonal dimensions. Experiment 1 addressed the question of how interleaving one category dimension while simultaneous blocking another…
Descriptors: Classification, Learning, Adults, College Students
Rosedahl, Luke A.; Ashby, F. Gregory – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…
Descriptors: Classification, Learning, College Students, Difficulty Level
Sijia Huang; Seungwon Chung; Carl F. Falk – Journal of Educational Measurement, 2024
In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…
Descriptors: Response Style (Tests), Classification, Data, Models