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Brian Bothner; Shelley L. Lusetti; Robert S. Seville; Josh E. Baker; Brian Barnes; Peter R. Hoffmann; Carolyn J. Hovde – Advances in Physiology Education, 2025
Since 2001, the National Institutes of Health (NIH) have funded the Institutional Development Award (IDeA) Network of Biomedical Research Excellence (INBRE) to expand biomedical research capacity among states in which NIH funding was historically low. The Western IDeA Region comprises seven states: Alaska, Hawaii, Idaho, Montana, New Mexico,…
Descriptors: Biomedicine, Medical Research, Networks, Undergraduate Students
Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
Luan Shaw – Music Education Research, 2025
The forging and maintenance of alumni relations is critical to the sustainability of Higher Music Education Institutions worldwide. In contrast to university-based career mentoring programmes, research about the role of alumni in conservatoire students' professional development is scarce. Alumni profiles are often used to support conservatoires'…
Descriptors: Music Education, Higher Education, College Faculty, Alumni
Greta Goetz – Educational Philosophy and Theory, 2025
"Applications" of knowledge symbolically and structurally "codify" thinking, often displacing the human who is relegated to passive, routine reproduction of operations and left with no space or time to understand or question the relations underlying the processes. This is both mirrored and augmented by the schematic narrowing…
Descriptors: Educational Philosophy, Critical Theory, Teaching Methods, Phenomenology
Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
Stefan Küchemann; Karina E. Avila; Yavuz Dinc; Chiara Hortmann; Natalia Revenga; Verena Ruf; Niklas Stausberg; Steffen Steinert; Frank Fischer; Martin Fischer; Enkelejda Kasneci; Gjergji Kasneci; Thomas Kuhr; Gitta Kutyniok; Sarah Malone; Michael Sailer; Albrecht Schmidt; Matthias Stadler; Jochen Weller; Jochen Kuhn – npj Science of Learning, 2025
Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Intermode Differences
ScottP. Buzzolani; Matthew J. Mistretta; Aleksandra E. Bugajczyk; Arun J. Sam; Samantha R. Elezi; Daniel L. Silverio – Journal of Chemical Education, 2025
The ability to extract structural information from a drawing of a molecule is key to being successful in organic chemistry. One source of difficulty for novices in interpreting structures is that hydrogens bound to carbon are represented implicitly in the often-used line-angle structures. Other representations that explicitly show hydrogens, such…
Descriptors: Undergraduate Students, Science Instruction, Chemistry, Organic Chemistry
Selcuk Acar; Peter Organisciak; Denis Dumas – Journal of Creative Behavior, 2025
In this three-study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking-Figural (broadly TTCT-F) as well as the Multi-Trial Creative Ideation task (MTCI). We focused on TTCT-F in Study 1, and utilizing a random forest classifier, we achieved 79% and…
Descriptors: Scoring, Computer Assisted Testing, Models, Correlation
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
Jillian C. Ford; Misty D. Lambert – Journal of Agricultural Education, 2025
SAE for All was adopted by the National Council for Ag Education in 2015 and North Carolina launched the model through statewide professional development in 2019. As part of a larger study on implementation, this 2022 qualitative study sought to understand the barriers teachers were facing in implementing the SAE for All model and sought to…
Descriptors: Agricultural Education, Program Implementation, Barriers, Middle School Teachers
Yuyun Elizabeth Patras; Muhammad Japar; Yuli Rahmawati; Rais Hidayat – Educational Process: International Journal, 2025
Background/purpose: Globalization and the advancement of communication technology have increased diversity and complexity, including in education. Diversity is currently in classrooms. This situation adds a need for multicultural competence. Materials/methods: This research explains the creation of new products through learning models to develop…
Descriptors: Culturally Relevant Education, Teaching Methods, Indigenous Knowledge, Gamification
Ying Yin; Xiaoyao Yue; Yan Ye – Journal of Education and Learning, 2025
This study endeavors to establish a model that encapsulates individual and contextual factors affecting instructors' ICT literacy in private universities located in Hunan Province, China. The researcher employed a mixed-methods approach, integrating both qualitative and quantitative techniques, through a questionnaire survey administered to 555…
Descriptors: Foreign Countries, Information Technology, Technological Literacy, Private Colleges
Jaleh Rezaei; Nasim Asghary – International Journal of Mathematical Education in Science and Technology, 2025
Mathematical modelling is an interlinking process between mathematics and real-world problems that can be applied as a means to increase motivation, develop cognitive competencies, and enhance the ability to transfer mathematical knowledge to other areas of science, such as engineering disciplines. This study was designed to investigate the effect…
Descriptors: Calculus, Mathematical Models, Mathematics Instruction, Problem Solving
Ismael Cabero; Carl Winsløw – International Journal of Mathematical Education in Science and Technology, 2025
The notion of function is central in all of the secondary curriculum, and indeed functional models appear in almost all higher education that is based on mathematics. However, in secondary education, functions usually appear in restricted and somewhat sterile forms. In this (mostly theoretical) paper, we present a proposal -- exemplified by a…
Descriptors: Mathematics Instruction, Mathematical Models, Teaching Methods, Secondary School Mathematics
Sternberg, Robert J.; Karami, Sareh – Journal of Intelligence, 2021
This article introduces a 6P framework for understanding intelligence, as well as the theories and tests that are derived from it. The 6Ps in the framework are purpose, press, problems, persons, processes, and products underlying intelligence. Each of the 6Ps is considered in turn. We argue that although the purpose of intelligence is culturally…
Descriptors: Intelligence, Theories, Models, Intelligence Tests