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Panorkou, Nicole; Germia, Erell – For the Learning of Mathematics, 2023
In this article, we address a call by Thompson and Carlson to directly contribute to defining the variation of students' reasoning about varying quantities. We show that students as young as in sixth grade can engage in complex forms of reasoning about multiple quantities in contexts that involve exploring science phenomena using interactive…
Descriptors: Elementary School Students, Grade 6, Mathematics Skills, Thinking Skills
Kaliampos, George; Mavropoulou, Sofia; Kollias, Vasilis; Ravanis, Konstantinos; Vavougios, Denis – Research in Science Education, 2023
While research on the understanding of physics concepts in individuals with autism remains scarce, the ever-increasing number of these students in inclusive education nowadays makes their systematic education in all fields of learning necessary. For this purpose, an experimental investigation was conducted to compare 19 autistic adolescents with a…
Descriptors: Physics, Scientific Concepts, Autism Spectrum Disorders, Inclusion
Graham, S. Scott – Composition Studies, 2023
The common arguments about potential student use of these technologies suggest artificial intelligence (AI)-assisted writing will damage student learning by shortcutting the writing process. There is a further worry that AI-based pedagogy will de-skill students by reducing writing to a mere editing practice. Additionally, some suggest that…
Descriptors: Writing (Composition), Writing Instruction, Language, Models
Pule, Heather – Journal of Adolescent & Adult Literacy, 2023
While culturally responsive texts have become more common in teacher education, too often, preservice teachers (PTs) are not asked to examine how to use these books pedagogically. To address this issue, in a young adult (YA) literature course, the Framework for Culturally and Historically Responsive Literacy (HRL) (Muhammad, 2000)…
Descriptors: Adolescent Literature, Preservice Teachers, Literacy, Data Analysis
Ma, Terence; Ten Cate, Olle – International Journal of Information and Learning Technology, 2023
Purpose: Job competency frameworks are based on the listing skills required for a job. The assumption is that if a candidate is presumed to have the skills, then the candidate should be able to do the job. Thus, employers hope to identify prospective employees having the required skills. However, this may differ from knowing whether the employee…
Descriptors: Models, Competence, Job Skills, Job Applicants
Wade, Carol H.; Wilkens, Christian; Sonnert, Gerhard; Sadler, Philip M. – Journal of Mathematics Education at Teachers College, 2023
Although the secondary-tertiary transition has been investigated in mathematics education research with different focuses and theoretical approaches, it remains a major issue for students in the transition. With success in a science, technology, engineering, or mathematics (STEM) major at stake, we investigated a novel approach to support the…
Descriptors: Secondary School Mathematics, College Mathematics, Calculus, Instructional Design
Maksimovic, Jelena; Evtimov, Jelena – Research in Pedagogy, 2023
The paradigm on which a methodological approach is developed determines the situations in which its application will be most appropriate. The quantitative approach implies a positivist paradigm, the basis of which is cause-and-effect relationships, as well as the questioning and verifying of existing theories. Positivism aims to prove that…
Descriptors: Statistical Analysis, Research Methodology, Educational Research, Models
Zhang, Wangyang; Qin, Guomin; Zhao, Zijian; Liu, Wenhao; Zhang, Shiyu; Kumar, Priyan Malarvizhi – Early Child Development and Care, 2023
Gradients across socioeconomic status occur for many children's health and improvement in high-income countries. The objective is to explore infant growth and child development in four developed countries around the socioeconomic landscape. In this paper, Structural Equation Modeling (SEM) enhances the socioeconomic status gradients for the…
Descriptors: Children, Child Development, Infants, Child Health
Wulff, Peter; Mientus, Lukas; Nowak, Anna; Borowski, Andreas – International Journal of Artificial Intelligence in Education, 2023
Computer-based analysis of preservice teachers' written reflections could enable educational scholars to design personalized and scalable intervention measures to support reflective writing. Algorithms and technologies in the domain of research related to artificial intelligence have been found to be useful in many tasks related to reflective…
Descriptors: Preservice Teachers, Preservice Teacher Education, Reflection, Writing (Composition)
Zhan, Peida; Liu, Yaohui; Yu, Zhaohui; Pan, Yanfang – Applied Measurement in Education, 2023
Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…
Descriptors: Skill Development, Cognitive Measurement, Models, Educational Diagnosis
Liu, Zhi; Kong, Xi; Chen, Hao; Liu, Sannyuya; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
In a massive open online courses (MOOCs) learning environment, it is essential to understand students' social knowledge constructs and critical thinking for instructors to design intervention strategies. The development of social knowledge constructs and critical thinking can be represented by cognitive presence, which is a primary component of…
Descriptors: MOOCs, Cognitive Processes, Students, Models
Liu, Bowen; Wu, Yonghe; Xing, Wanli; Guo, Shouchao; Zhu, Lijuan – Interactive Learning Environments, 2023
3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students' SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but…
Descriptors: Independent Study, Computer Simulation, Design, Models
Vembye, Mikkel Helding; Pustejovsky, James Eric; Pigott, Therese Deocampo – Journal of Educational and Behavioral Statistics, 2023
Meta-analytic models for dependent effect sizes have grown increasingly sophisticated over the last few decades, which has created challenges for a priori power calculations. We introduce power approximations for tests of average effect sizes based upon several common approaches for handling dependent effect sizes. In a Monte Carlo simulation, we…
Descriptors: Meta Analysis, Robustness (Statistics), Statistical Analysis, Models
Solé, Caterina; Couso, Digna; Hernández, María Isabel – Chemistry Education Research and Practice, 2023
Many studies have researched students' ideas about air pollution, basically focusing on nature and impact of gaseous pollutants on human health. However, recent research has highlighted the importance of the role of particulate matter air pollution for a good air quality in cities. This phenomenon is especially interesting for exploring the limits…
Descriptors: Secondary School Students, Pollution, Science Instruction, Scientific Concepts
Zhuang, Tengteng; Zhou, Haitao – Asia Pacific Education Review, 2023
This article examines the intents and effects of China's national policies to promote a synergistic approach to university-industry collaborative education. These policies set out to reduce the academia-industry disconnection for engineering education. Based on document analysis and interviews with various types of stakeholders, the study reveals…
Descriptors: Foreign Countries, Engineering Education, School Business Relationship, Universities