Publication Date
In 2025 | 24 |
Since 2024 | 153 |
Since 2021 (last 5 years) | 599 |
Since 2016 (last 10 years) | 1251 |
Since 2006 (last 20 years) | 2140 |
Descriptor
Classification | 2198 |
Foreign Countries | 1004 |
College Students | 514 |
Undergraduate Students | 445 |
Higher Education | 440 |
Teaching Methods | 376 |
Student Attitudes | 330 |
College Faculty | 286 |
Comparative Analysis | 235 |
Models | 218 |
Statistical Analysis | 217 |
More ▼ |
Source
Author
Nosofsky, Robert M. | 8 |
Barnes, Tiffany | 6 |
Knight, Jane | 5 |
McNamara, Danielle S. | 5 |
Chi, Min | 4 |
Hawkins, Brian L. | 4 |
Lepori, Benedetto | 4 |
McDaniel, Mark A. | 4 |
Meyer, Katrina A. | 4 |
Rudy, Julia A. | 4 |
Sicurella, Agathina | 4 |
More ▼ |
Publication Type
Education Level
Postsecondary Education | 2198 |
Higher Education | 2129 |
Secondary Education | 130 |
Elementary Secondary Education | 76 |
High Schools | 74 |
Two Year Colleges | 72 |
Elementary Education | 48 |
Adult Education | 46 |
Early Childhood Education | 24 |
Middle Schools | 24 |
Junior High Schools | 21 |
More ▼ |
Audience
Teachers | 9 |
Administrators | 6 |
Policymakers | 6 |
Researchers | 5 |
Students | 2 |
Community | 1 |
Media Staff | 1 |
Practitioners | 1 |
Location
Australia | 101 |
Turkey | 94 |
United Kingdom | 93 |
China | 66 |
Spain | 55 |
Canada | 49 |
United States | 44 |
Germany | 43 |
United Kingdom (England) | 39 |
California | 35 |
Japan | 30 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wei Liu – International Journal of Research & Method in Education, 2024
Underlying thematic analysis are a few fundamental human cognitive processes, such as categorizing, prototyping and metaphorical mapping. By unpacking these basic processes of human cognition, this paper hopes to provide a cognitive basis for thematic analysis as a foundational method in data analysis for qualitative research. In particular, it…
Descriptors: Qualitative Research, Cognitive Processes, Classification, Data Analysis
Arailym Sarbalina; Zharkynbike Suleimenova; Kunipa Ashinova; Zhaidarkul Belassarova; Balkiya Kassym; Aiman Koblanova – Novitas-ROYAL (Research on Youth and Language), 2024
This study aims to analyze the factors influencing the typology of Turkic words to examine the specifics of the way students learn Turkic languages in higher education institutions. A hypotheticdeductive, survey, and comparative method was used for the study. Results showed that the learners have trouble constructing oral discourse and do not…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Turkic Languages
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
Victor M. H. Borden; Guiping Tian – Higher Education Studies, 2025
Advances in science are often associated with pre-eminent research universities. Policy makers and those who collaborate with university researchers may assume that this advantage generalizes to all types of research. This analysis explores whether this generalization applies to research in emerging disciplines. We do so by examining the…
Descriptors: Institutional Characteristics, Scientific Research, Scholarship, Intellectual Disciplines
Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
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
Tim M. Steininger; Jörg Wittwer; Thamar Voss – Psychology Learning and Teaching, 2025
In order to make informed instructional decisions, teachers need psychological knowledge about relational categories. We conducted two 2 x 2 experiments to examine effective designs for learning relational categories in the context of teacher education. In both experiments, a blocked compared to an interleaved example format was more beneficial…
Descriptors: Classification, Learning Processes, Student Teachers, Psychology
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
Sarah J. Palmer; Adrian Fanucci-Kiss; Ella Kipervassar; Isha Jalnapurkar; Steven M. Hodge; Jean A. Frazier; David Cochran – Journal of Autism and Developmental Disorders, 2024
This study investigated how emotional valence of a perceived emotional state impacted performance on the Reading the Mind in the Eyes task (RMET) in adolescents with autism spectrum disorder (ASD) and typically developing (TD) controls. Valence of items on the RMET, Adult (RMET-A) and Child (RMET-C) versions, was first classified in a survey of…
Descriptors: Autism Spectrum Disorders, Psychological Patterns, Adolescents, Emotional Response
Katherine Herbert; Luke van der Laan – Professional Development in Education, 2024
The interest in Professional Development (PD) in learning and teaching in Higher Education (HE) has seen an increase in the last few years owing to the evolving role of HE teaching academics in the futures of students and their employment. In Australia, while there is evidence that research in learning and teaching PD is growing, these studies…
Descriptors: Faculty Development, Higher Education, Foreign Countries, Universities
Vahid Roshanaei; Bahman Naderi; Opher Baron; Dmitry Krass – INFORMS Transactions on Education, 2024
We present an interactive spreadsheet that supports teaching essential concepts in classification using the logistic regression (LoR) model for binary classification. The interactive spreadsheet demonstrates the capabilities of LoR by integrating computation with visualization. Students will reinforce concepts like probabilities, maximum…
Descriptors: Spreadsheets, Interaction, Classification, Computation
Andrew Olewnik; Randy Yerrick; Mike Eastman – European Journal of Engineering Education, 2024
This study explores students' initial engagement with ill-structured problems before and after the introduction of engineering problem typology as a framework for problem engagement and reflection. Using problem discussions, debrief interviews, and qualitative analysis of written artifacts, we considered observed changes to students' initial…
Descriptors: Undergraduate Students, Engineering Education, Problem Solving, Classification
Joanne Caldwell – Journal of Higher Education Policy and Management, 2024
This study explores the nomenclature surrounding professional services staff within higher education in the UK. Taking a case study method, it uses a qualitative approach to understand the term 'non-academic' to describe the diverse range of professional services roles. Both professional services and academic staff were interviewed and there is a…
Descriptors: Higher Education, Foreign Countries, College Administration, Professional Services
Christopher J. Levesque; Bianca Jimmerson – Education Libraries, 2024
Library staff developed a project to reclassify the Curriculum Materials Collection of a specialty library on the campus of a regional comprehensive university. Materials were reclassified from a custom classification system derived from those developed by Lois Belfield Watt in 1962 and Harlan Johnson in 1973, to the Dewey Decimal Classification.…
Descriptors: Classification, Special Libraries, Library Development, Change
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