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Abdullahi Yusuf; Norah Md Noor – Smart Learning Environments, 2024
In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized the significance of developing algorithmic thinking (AT) skills to help students in program development and error debugging. Despite the…
Descriptors: Students, Programming, Algorithms, Problem Solving
Mayra Zulay Suárez Rodríguez; Ana Isabel Sacristán – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In this report we show an investigation of how high-school students learn strategies to find intermediate numbers in an interval to understand the property of numerical density. Research has shown that some high-school students have difficulty in understanding this property. To mitigate this difficulty, we proposed a Hypothetical Learning…
Descriptors: High School Students, Secondary School Mathematics, Mathematics Skills, Learning Strategies
Li, Tingxuan; Traynor, Anne – AERA Open, 2022
Computational thinking (CT) is a set of cognitive skills that every child should acquire. K-12 classrooms are expected to provide students opportunities (tasks) to think computationally. We introduce a CT competency assessment for middle school students. The assessment design process started by establishing a cognitive model of CT domain mastery,…
Descriptors: Cognitive Measurement, Computation, Thinking Skills, Problem Solving
Luo, Feiya; Israel, Maya; Gane, Brian – ACM Transactions on Computing Education, 2022
There is little empirical research related to how elementary students develop computational thinking (CT) and how they apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition,…
Descriptors: Elementary School Students, Computation, Thinking Skills, Learning Trajectories
Traci Kutaka; Pavel Chernyavskiy; Carson Keeter; Julie Sarama; Douglas Clements – Society for Research on Educational Effectiveness, 2021
Background: Data on children's ability to answer assessment questions correctly paints an incomplete portrait of what they know and can do mathematically; yet, it remains a common basis for program evaluation. Indeed, pre-post-assessment correctness is necessary but insufficient evidence for making inferences about learning and program…
Descriptors: Kindergarten, Learning Trajectories, Learning Strategies, Thinking Skills
T. S. Kutaka; P. Chernyavskiy; J. Sarama; D. H. Clements – Grantee Submission, 2023
Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…
Descriptors: Learning Trajectories, Problem Solving, Mathematics Instruction, Early Intervention
Oh Hoon Kwon – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
A new classification for semantic structures of one-step word problems is proposed in this paper. The classification is based on illustrations of word problem situations in Common Core State Standards (CCSSM, 2010) and related historical studies (e.g. Weaver, 1973, 1979, 1982), as well as conceptual elaborations of embodied and grounded nature in…
Descriptors: Semantics, Word Problems (Mathematics), Mathematics Instruction, Classification
Martin, Kristi; Hunt, Jessica H. – Investigations in Mathematics Learning, 2022
One challenge facing the fields of mathematics education and special education is how to design instruction on fraction concepts that can meet the needs of diverse learners. An innovation that shows promise is to base instructional design upon well-established trajectories of students' fraction learning. However, little research has been done to…
Descriptors: Learning Trajectories, Fractions, Intervention, Mathematics Education
Ellis, Amy B. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The development and use of learning trajectories is a body of research that has made enormous contributions to the field of mathematics education, offering insight into the teaching and learning of topics at all levels. Simultaneously, the work of building learning trajectories can benefit from explicitly adopting an anti-deficit stance,…
Descriptors: Learning Trajectories, Mathematics Education, Teaching Methods, Learning Processes
I. Putu Ade Andre Payadnya; Rully Charitas Indra Prahmana; Jane-Jane Lo; Putu Ledyari Noviyanti; I. Made Dharma Atmaja – Journal on Mathematics Education, 2023
The study material on circle areas is contextually oriented and aids students in comprehending their surrounding environment. Higher-order thinking skills are imperative for the success of circular learning, as they help students grasp concepts holistically and solve concept problems. "What-if" questions can enhance students'…
Descriptors: Learning Trajectories, Questioning Techniques, Thinking Skills, Problem Solving
Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2024
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory
Harisman, Yulyanti; Dwina, Fitrani; Tasman, Fridgo – Journal on Mathematics Education, 2022
This study aims to design case-based learning with lesson study learning trajectory with the help of teaching aids to make students understand Prim's, Cruscal's, and Djiksra's Algorithms. The validation study was selected because it is a suitable method for this research. The research subjects were 41 Mathematics Education Study Program Students…
Descriptors: Case Method (Teaching Technique), Learning Trajectories, Algorithms, Mathematics Education
Feiya Luo – ProQuest LLC, 2020
There is little empirical research related to how elementary students develop computational thinking (CT) and how students apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition,…
Descriptors: Elementary School Students, Computation, Thinking Skills, Skill Development
Wibawa, Kadek Adi; Payadnya, I Putu Ade Andre; Yasa, I Gede Upadana; Prahmana, Rully Charitas Indra – Mathematics Teaching Research Journal, 2022
Learning the content of entrepreneurship arithmetic is an extension of social arithmetic that focuses on mathematical calculations in business or creative economy. Most teachers do not link students' daily activities to classroom teaching and learning on traditional markets around the environment. This significantly affects the interest in…
Descriptors: Entrepreneurship, Learning Trajectories, Mathematical Concepts, Concept Formation

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