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Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – International Journal of Artificial Intelligence in Education, 2020
Identifying students at risk of failing a course has potential benefits, such as recommending the At-Risk students to various interventions that could improve pass rates. The challenges however, are firstly in measuring how effective these interventions are, i.e. measuring treatment effects, and secondly, to not only predict overall (average)…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Scoring
Fitzsimmons, Charles J.; Thompson, Clarissa A.; Sidney, Pooja G. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Understanding fraction magnitudes is important for achievement and in daily life. However, adults' fraction reasoning sometimes appears to reflect whole number bias and other times reflects accurate reasoning. In the current experiments, we examined how contextual factors and individual differences in executive functioning (Experiment 1),…
Descriptors: Fractions, Adults, Mathematical Logic, Knowledge Level
Desli, Despina; Lioliou, Anastasia – International Electronic Journal of Mathematics Education, 2020
The present study attempted to explore the relationship between computational estimation and problem solving in a sample of Year 6 children and adults (N=72). For this purpose, participants were presented with two tasks which asked them to estimate the computational result in eight arithmetic operations (Computational Estimation Task) as well as…
Descriptors: Computation, Thinking Skills, Mathematics Skills, Problem Solving
Chevalier, Morgane; Giang, Christian; Piatti, Alberto; Mondada, Francesco – International Journal of STEM Education, 2020
Background: Educational robotics (ER) is increasingly used in classrooms to implement activities aimed at fostering the development of students' computational thinking (CT) skills. Though previous works have proposed different models and frameworks to describe the underlying concepts of CT, very few have discussed how ER activities should be…
Descriptors: Computation, Thinking Skills, Robotics, Technology Uses in Education
Hutchins, Nicole M.; Biswas, Gautam; Zhang, Ningyu; Snyder, Caitlin; Lédeczi, Ákos; Maróti, Miklós – International Journal of Artificial Intelligence in Education, 2020
Driven by our technologically advanced workplaces and the surge in demand for proficiency in the computing disciplines, it is becoming imperative to provide computational thinking (CT) opportunities to all students. One approach for making computing accessible and relevant to learning and problem-solving in K-12 environments is to integrate it…
Descriptors: Computer Assisted Instruction, Problem Solving, Computation, Thinking Skills
Sepúlveda, Felipe; Rodri´guez, Cristina; Peake, Christian – Early Education and Development, 2020
The central purpose of the present study is to assess the early numeracy skills of Chilean kindergarten students, taking into consideration the socioeconomic status (SES) of the schools they attend. A sample of 19 urban schools and 498 students were used for the study. "Research Findings": The data analysis showed statistical differences…
Descriptors: Kindergarten, Numeracy, Mathematics Skills, Socioeconomic Status
Mutlu, Yilmaz; Akgün, Levent; Akkusci, Yavuz Erdem – International Journal of Curriculum and Instruction, 2020
The aim of this study is to determine preschool, special education, elementary school teacher and mathematics teachers' views of finger-counting in mathematics teaching. The study was conducted with case study design. The sample of the study consisted of 34 teachers. Data were collected using an 8-item written form, and content analysis was…
Descriptors: Teacher Attitudes, Mathematics Skills, Psychomotor Skills, Human Body
Fitzsimmons, Charles J.; Thompson, Clarissa A.; Sidney, Pooja G. – Grantee Submission, 2020
Understanding fraction magnitudes is important for achievement and in daily life. However, adults' fraction reasoning sometimes appears to reflect whole number bias and other times reflects accurate reasoning. In the current experiments, we examined how contextual factors and individual differences in executive functioning (Experiment 1),…
Descriptors: Fractions, Adults, Mathematical Logic, Knowledge Level
Roschelle, Jeremy, Ed.; Lester, James, Ed.; Fusco, Judi, Ed. – Digital Promise, 2020
This report is based on the discussion that emerged from a convening of a panel of 22 experts in artificial intelligence (AI) and in learning. It introduces three layers that can frame the meaning of AI for educators. First, AI can be seen as "computational intelligence" and capability can be brought to bear on educational challenges as…
Descriptors: Artificial Intelligence, Learning, Computation, Futures (of Society)
National Center on Intensive Intervention, 2020
The purpose of this guide is to provide strategies and materials for developing and implementing lessons for students who need intensive instruction in the area of place value, numeracy, and counting. Resource room teachers, math interventionists, and others working with struggling students may find this guide helpful. Within college- and…
Descriptors: Mathematics Instruction, Computation, Mathematical Concepts, Concept Formation
Paul T. von Hippel; Laura Bellows – Annenberg Institute for School Reform at Brown University, 2020
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Scores, Accountability
Stott, Angela Elisabeth – Chemistry Education Research and Practice, 2023
The unit factor method, a generic strategy for solving any proportion-related problem, is known to be effective at reducing cognitive load through unit-cancellation providing step-by-step guidance. However, concerns have been raised that it can be applied mindlessly. This primarily quantitative prepost study investigates the efficacy of…
Descriptors: Chemistry, Science Instruction, Instructional Effectiveness, Teaching Methods
Cassie F. Quigley; Danielle Herro; Holly Plank; Aileen Owens; Oluwadara Abimbade – Computer Science Education, 2024
Background and context: Historically underrepresented youth in computer science persistently experience barriers making it difficult to see themselves in the computer science field including computer science programs and curricula with consistent stereotypical references focused on competition, individualism, and male-associated topics…
Descriptors: Computer Science Education, Minority Group Students, Student Interests, Self Concept
Weipeng Yang – Journal of Educational Computing Research, 2024
Computational Thinking (CT) is essential for developing creativity, problem-solving, and digital competence in the 21st century. Coding tools like robotic toys and tablet apps have become popular in early childhood education to support CT development, but there is a debate on which tool is more effective. Little evidence exists on the effect of…
Descriptors: Coding, Preschool Children, Computation, Thinking Skills
Anna Åkerfeldt; Susanne Kjällander; Petra Petersen – Technology, Pedagogy and Education, 2024
In the following research review, 57 articles were analysed to get an insight into research in the field of computational thinking and programming in K-12. The results show that empirical research regarding programming and computational thinking is prevalent in the USA and Greece. The articles were published in 43 different academic journals. A…
Descriptors: Research Reports, Thinking Skills, Computation, Content Analysis

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