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Kirstin Kerr; Mel Ainscow – International Journal of Research & Method in Education, 2024
Advancing equity is a major challenge facing education systems globally. This creates an imperative for researchers to work with policymakers and practitioners to affect change. There have been many attempts to do this using various forms of action-oriented research and a considerable body of knowledge exists about their strengths and limitations.…
Descriptors: Educational Equity (Finance), Foreign Countries, Educational Change, Educational Research
Saskia Riedelbauch; Sebastian B. Gaigg; Tobias Thiel; Veit Roessner; Melanie Ring – Autism: The International Journal of Research and Practice, 2024
Anxiety disorders commonly occur in autism. Existing studies implicate intolerance of uncertainty, alexithymia, sensory processing differences and emotion regulation difficulties as influencing factors of anxiety in autism. To date, a few studies have considered the combination of these factors within the same sample. This study used structural…
Descriptors: Anxiety Disorders, Autism Spectrum Disorders, Adults, Symptoms (Individual Disorders)
Jennifer L. Proper; Haitao Chu; Purvi Prajapati; Michael D. Sonksen; Thomas A. Murray – Research Synthesis Methods, 2024
Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…
Descriptors: Network Analysis, Meta Analysis, Prediction, Drug Therapy
Beth A. Covitt; Kristin L. Gunckel; Alan Berkowitz; William W. Woessner; John Moore – Journal of Science Education and Technology, 2024
Computational models are employed to study and respond to pressing environmental issues such as groundwater contamination. This use of computational models, which often involves algorithms and uncertainty that are hidden to the public, has implications for environmental science literacy. This study applies a design-based research approach to…
Descriptors: Learning Experience, Computation, Thinking Skills, Models
Kamali N. Sripathi; Rosa A. Moscarella; Matthew Steele; Rachel Yoho; Hyesun You; Luanna B. Prevost; Mark Urban-Lurain; John Merrill; Kevin C. Haudek – Journal of Mixed Methods Research, 2024
Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…
Descriptors: Artificial Intelligence, Mixed Methods Research, Student Writing Models, Biology
Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
Subhajit Chakraborty – Quality Assurance in Education: An International Perspective, 2024
Purpose: The emergence of internet-based business models has given rise to online higher education institutions (OHEIs) that offer their undergraduate and graduate degree programs exclusively online with minimal physical presence. Research on OHEIs discusses the need for external legitimacy and resource acquisition, often ignoring the role of…
Descriptors: Literature Reviews, Electronic Learning, Higher Education, Educational Quality
Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
Narjes Rohani; Behnam Rohani; Areti Manataki – Journal of Educational Data Mining, 2024
The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…
Descriptors: Mathematics Education, Models, Prediction, Knowledge Level
Tea Mijac; Mario Jadric; Maja Cukušic – Education and Information Technologies, 2024
Higher education institutions (HEIs) are encountering numerous challenges in today's era of globalization and internationalization. Among these challenges, digital transformation stands out as one of the most demanding, as it involves using ICT to transform business processes. The successful implementation of such systems and related services…
Descriptors: Information Systems, Technology Uses in Education, Higher Education, Program Implementation
Olubunmi Omolara Bernard-Njoku – ProQuest LLC, 2024
In recent years, a concerted effort has been made to integrate the various components of college and career military readiness (CCMR) studies. Research demonstrated that critical thinking skills, such as analysis, interpretation, problem-solving, and reasoning, are more crucial for success at the entry-level stages of college than mere knowledge…
Descriptors: College Readiness, Career Readiness, Academic Achievement, Educational Trends
Rohan Desai – ProQuest LLC, 2024
This qualitative case study explored the experiences of staff and student participants in a men of color program at one California community college. The research aimed to understand how program staff creates environments conducive to exploring masculine identity among men of color. Grounded in validation theory and the multiple masculinities…
Descriptors: Community College Students, Minority Group Students, College Programs, Masculinity
Jonas Weyers; Rudy Ligtvoet; Johannes König – Journal of Curriculum Studies, 2024
General pedagogical knowledge (GPK) is regarded as a central component of the competence that teachers acquire during university teacher education. However, existing research on GPK typically uses only one or two measurement points to assess development and identify influencing factors. The present study draws on an annual survey of pre-service…
Descriptors: Preschool Teachers, Pedagogical Content Knowledge, Preservice Teacher Education, Growth Models
Sarah N. Abdo; Jeremy L. Hsu; Constantine Kapetanakis; Dina L. Newman; L. Kate Wright; Jennifer Bailey – Journal of Chemical Education, 2024
Effective spatial visualization and reasoning skills are often credited for students' success in science and engineering courses. However, students enrolled in these science courses are not always exposed to or trained properly on the best ways to utilize models to aid in their learning. Improving spatial visualization techniques with 3D models,…
Descriptors: Models, Visual Aids, Concept Formation, Molecular Structure