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Lang, Vanessa; Eckert, Christine; Perels, Franziska; Kay, Christopher W. M.; Seibert, Johann – Education Sciences, 2021
Models are essential in science and therefore in scientific literacy. Therefore, pupils need to attain competency in the appropriate use of models. This so-called model--methodical competence distinguishes between model competence (the conceptual part) and modelling competence (the procedural part), wherefrom a definition follows a general…
Descriptors: Chemistry, Biology, Science Instruction, Scientific Literacy
MENTOR: National Mentoring Partnership, 2021
In 2019, the Centers for Disease Control and Prevention's (CDC's) Youth Risk Behavior Survey found that 8% of youth in grades 9-12 reported being in a physical fight one or more times in the 12 months preceding the survey, with more than 7% reporting being threatened or injured with a weapon on school property. Homicide is the 3rd leading cause of…
Descriptors: Mentors, Prevention, Intervention, Violence
Levis Omusugu Amuya; Peterson Mwai Kariuki – Journal of Higher Education Policy and Management, 2024
Academic institutions today are experiencing a legion of security risks that are increasingly impeding their mission of producing high-quality graduates, guarding reason and educational integrity, and ultimately advancing human civilisation. The Enterprise Security Risk Management (ESRM) model represents a potential solution to the dynamic threats…
Descriptors: Foreign Countries, Universities, Risk Management, Accreditation (Institutions)
Martijn Schoenmakers; Jesper Tijmstra; Jeroen Vermunt; Maria Bolsinova – Educational and Psychological Measurement, 2024
Extreme response style (ERS), the tendency of participants to select extreme item categories regardless of the item content, has frequently been found to decrease the validity of Likert-type questionnaire results. For this reason, various item response theory (IRT) models have been proposed to model ERS and correct for it. Comparisons of these…
Descriptors: Item Response Theory, Response Style (Tests), Models, Likert Scales
David Goretzko; Karik Siemund; Philipp Sterner – Educational and Psychological Measurement, 2024
Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…
Descriptors: Factor Analysis, Goodness of Fit, Psychological Studies, Measurement
Agus Santoso; Heri Retnawati; Kartianom; Ezi Apino; Ibnu Rafi; Munaya Nikma Rosyada – Open Education Studies, 2024
The world's move to a global economy has an impact on the high rate of student academic failure. Higher education, as the affected party, is considered crucial in reducing student academic failure. This study aims to construct a prediction (predictive model) that can forecast students' time to graduation in developing countries such as Indonesia,…
Descriptors: Time to Degree, Open Universities, Foreign Countries, Predictive Measurement
Rocky Chun Chung Cheung; Jian Yang; Christian Fang; Man Fai Leung; Susan M. Bridges; George L. Tipoe – Anatomical Sciences Education, 2024
Difficulty in visualizing anatomical structures has been identified as a challenge in anatomy learning and the emergence of three-dimensional printed models (3DPMs) offers a potential solution. This study evaluated the effectiveness of 3DPMs for learning the arterial supply of the head and neck region. One hundred eighty-four undergraduate medical…
Descriptors: Instructional Materials, Anatomy, Human Body, Models
Jiangqiong Li – ProQuest LLC, 2024
When measuring latent constructs, for example, language ability, we use statistical models to specify appropriate relationships between the latent construct and observe responses to test items. These models rely on theoretical assumptions to ensure accurate parameter estimates for valid inferences based on the test results. This dissertation…
Descriptors: Goodness of Fit, Item Response Theory, Models, Measurement Techniques
Hamzeh Ghasemzadeh; Robert E. Hillman; Daryush D. Mehta – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Many studies using machine learning (ML) in speech, language, and hearing sciences rely upon cross-validations with single data splitting. This study's first purpose is to provide quantitative evidence that would incentivize researchers to instead use the more robust data splitting method of nested k-fold cross-validation. The second…
Descriptors: Artificial Intelligence, Speech Language Pathology, Statistical Analysis, Models
Laila El-Hamamsy; Emilie-Charlotte Monnier; Sunny Avry; Morgane Chevalier; Barbara Bruno; Jessica Dehler Zufferey; Francesco Mondada – Education and Information Technologies, 2024
Sustaining changes in teachers' practices is a challenge that determines the success of curricular reforms, from which Digital Education (DE) is not exempt. As the literature on sustainability is considered "scarce" and "scattered", long-term studies modelling the factors impacting teachers' sustained uptake of DE pedagogical…
Descriptors: Faculty Development, Sustainability, Curriculum Development, Electronic Learning
Irene Benedetto; Moreno La Quatra; Luca Cagliero; Lorenzo Canale; Laura Farinetti – Education and Information Technologies, 2024
Modern educational technology systems allow learners to access large amounts of learning materials such as educational videos, learning notes, and teaching books. Automated summarization techniques simplify the access and exploration of complex data collections by producing synthetic versions of the original content. This paper addresses the…
Descriptors: Learning Analytics, Documentation, Blended Learning, Video Technology
Kerri Spooner – International Journal of Mathematical Education in Science and Technology, 2024
The student experience with mathematical modelling has the potential to differ in nature to the experience of a typical mathematics student. The research reported in this paper forms part of a broader study looking into tertiary learning experiences for mathematical modelling. This paper reports on: What are the student experiences when learning…
Descriptors: Mathematical Models, Mathematics Education, Foreign Countries, Student Experience
Allyson Skene; Laura Winer; Erika Kustra – International Journal for Academic Development, 2024
This article explores potential uses, misuses, beneficiaries, and tensions of learning analytics in higher education. While those promoting and using learning analytics generally agree that ethical practice is imperative, and student privacy and rights are important, navigating the complex maze of ethical dilemmas can be challenging, particularly…
Descriptors: Learning Analytics, Higher Education, Ethics, Privacy
Güler Yavuz Temel – Journal of Educational Measurement, 2024
The purpose of this study was to investigate multidimensional DIF with a simple and nonsimple structure in the context of multidimensional Graded Response Model (MGRM). This study examined and compared the performance of the IRT-LR and Wald test using MML-EM and MHRM estimation approaches with different test factors and test structures in…
Descriptors: Computation, Multidimensional Scaling, Item Response Theory, Models
Pablo Saiz-González; Damián Iglesias; Javier Fernández-Río – Quest, 2024
Pedagogical models have been described as suitable for promoting positive outcomes in the physical domain of learning. Is this enough in the battle against sedentary lifestyles? To answer this question, a systematic search of four scientific literature databases was conducted. The articles were included if they met the following criteria: (1)…
Descriptors: Models, Teaching Methods, Intention, Physical Activity Level

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