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Levi C. Ofoe – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: This study examined the learning experiences of speech-language pathology students after creating three-dimensional (3D) anatomical models as part of an undergraduate Anatomy and Physiology course. Method: A total of 44 undergraduate students used 3D software programs to design anatomical components (e.g., larynx, brainstem, brain cortex,…
Descriptors: Speech Language Pathology, Allied Health Occupations Education, Student Attitudes, Anatomy
Troussas, Christos; Chrysafiadi, Konstantina; Virvou, Maria – Education and Information Technologies, 2021
Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style, Stereotypes
Timoštšuk, Inge; Lumi, Neeme – Journal of Teacher Education for Sustainability, 2022
It is important to be able to make better informed decisions about issues such as sustainability and climate change that have both personal and global impact as early as possible in life. Primary teachers have a significant role in supporting students' learning and understanding of these concepts. One important teaching skill that needs to be…
Descriptors: Concept Mapping, Concept Formation, Concept Teaching, Models
Rinehart, Amanda; Sharkey, Jennifer; Kahl, Chad – College & Research Libraries, 2015
Do librarians with different characteristics, such as type of work responsibilities or age, have different learning styles? The authors analyzed results from over 1,500 responses to a version of the Index of Learning Styles (ILS) questionnaire based on the Felder-Silverman Learning Styles model. This model consists of eight dimensions paired on…
Descriptors: Academic Libraries, Librarians, Librarian Attitudes, Cognitive Style
Carter, James B. – SANE Journal: Sequential Art Narrative in Education, 2015
The article debuts and explains "PIM" pedagogy, a construct for teaching comics at the secondary- and post-secondary levels and for deep reading/studying comics. The PIM model for considering comics is actually based in major precepts of education studies, namely constructivist foundations of learning, and loosely unifies constructs…
Descriptors: Cartoons, Novels, Teaching Methods, Secondary Education
Picciano, Anthony G. – Journal of Asynchronous Learning Networks, 2009
The purpose of this article is to propose a blending with purpose multimodal conceptual model for designing and developing blended learning courses and programs. A blended learning model is presented that suggests teachers design instruction to meet the needs of a variety of learners. Specifically, "Blending with Purpose: The Multimodal Model"…
Descriptors: Instructional Design, Online Courses, Blended Learning, Asynchronous Communication
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection