NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
Assessments and Surveys
Kaufman Test of Educational…1
What Works Clearinghouse Rating
Showing 16 to 30 of 69 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Martin Abt; Katharina Loibl; Timo Leuders; Wim Van Dooren; Frank Reinhold – Educational Studies in Mathematics, 2025
In the boxplot, the box always represents -- regardless of its area -- the middle half of the data and thus a measure of variability (interquartile range). However, when students first learn about boxplots, they are usual already familiar with other forms of statistical representations (e.g., bar or circle graphs) in which a larger area represents…
Descriptors: College Students, Data Analysis, Graphs, Error Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Jonathan Hoseana; Andy Leonardo Louismono; Oriza Stepanus – International Journal of Mathematical Education in Science and Technology, 2025
We describe and evaluate a method to mitigate unwanted student collaborations in assessments, which we recently implemented in a second-year undergraduate mathematics module. The method requires a list of specific pairs of students to be prevented from collaborating, which we constructed based on the results of previous assessments. We converted…
Descriptors: Graphs, Color, College Mathematics, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
James Drimalla – Educational Studies in Mathematics, 2025
Inferentialism has emerged as a valuable theoretical resource in mathematics education. As a theory of meaning about the use and content of concepts, it offers a fresh perspective on traditional epistemological and linguistic questions in the field. Despite its emergence, important inferentialist ideas still need to be operationalized. In this…
Descriptors: Mathematics Education, Mathematical Concepts, Inferences, Statistical Inference
Peer reviewed Peer reviewed
Direct linkDirect link
Leonie Disch; Angela Fessl; Simone Franza; Joachim Kimmerle; Viktoria Pammer-Schindler – Discover Education, 2025
Reading and understanding scientific texts is useful and necessary in many informal collaboration settings, including research or innovation collaborations, or when discussing public science in lay peer groups. In this work, we investigate whether an interactive predefined concept map that builds up gradually while reading a scientific research…
Descriptors: Reading Comprehension, Graphs, Concept Mapping, Cooperative Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Sheng Bi; Zeyi Miao; Qizhi Min – IEEE Transactions on Learning Technologies, 2025
The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…
Descriptors: Grammar, Models, Questioning Techniques, Graphs
Peer reviewed Peer reviewed
Direct linkDirect link
Sourabh Balgi; Adel Daoud; Jose M. Peña; Geoffrey T. Wodtke; Jesse Zhou – Sociological Methods & Research, 2025
Social science theories often postulate systems of causal relationships among variables, which are commonly represented using directed acyclic graphs (DAGs). As non-parametric causal models, DAGs require no assumptions about the functional form of the hypothesized relationships. Nevertheless, to simplify empirical evaluation, researchers typically…
Descriptors: Graphs, Causal Models, Statistical Inference, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Joyce M. W. Moonen-van Loon; Jeroen Donkers – Practical Assessment, Research & Evaluation, 2025
The reliability of assessment tools is critical for accurately monitoring student performance in various educational contexts. When multiple assessments are combined to form an overall evaluation, each assessment serves as a data point contributing to the student's performance within a broader educational framework. Determining composite…
Descriptors: Programming Languages, Reliability, Evaluation Methods, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Liqing Qiu; Lulu Wang – IEEE Transactions on Education, 2025
In recent years, knowledge tracing (KT) within intelligent tutoring systems (ITSs) has seen rapid development. KT aims to assess a student's knowledge state based on past performance and predict the correctness of the next question. Traditional KT often treats questions with different difficulty levels of the same concept as identical…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Questioning Techniques, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Julian Schuessler; Peter Selb – Sociological Methods & Research, 2025
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…
Descriptors: Data Collection, Graphs, Error of Measurement, Statistical Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Gamze Kurt; Erdinç Çakiroglu – International Journal of Mathematical Education in Science and Technology, 2025
This case study investigated the development of prospective mathematics teachers' technological pedagogical content knowledge (TPACK) in graphical data displays with (VM) within the context of a microteaching lesson study (MLS). This research investigated how five participants integrated technology and implemented a lesson plan aimed to teach…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Graphs
Peer reviewed Peer reviewed
Direct linkDirect link
Keith C. Radley; Evan H. Dart – Journal of Behavioral Education, 2025
Recent research has indicated that the manner in which single-case data are typically displayed for visual analysis may influence rater decisions regarding the effect of an intervention. Subsequently, researchers have encouraged adherence to a standard assembly for linear graphs in order to control these effects. Others, however, have encouraged…
Descriptors: Graphs, Research Design, Visual Aids, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Halil I. Tasova; Kevin C. Moore – Journal for Research in Mathematics Education, 2025
We examine the meanings students give to points when they are graphing relationships between quantities in dynamic, experiential contexts. Using data from teaching experiments with middle-grades students, we illustrate two main categories of meanings: iconic and quantitative. We then introduce four distinct subcategories of meanings: (a) iconic…
Descriptors: Middle School Students, Graphs, Middle School Mathematics, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Željka Milin Šipuš; Alejandro S. González-Martín; Matija Bašic – Teaching Mathematics and Its Applications, 2025
The study reported in this paper is motivated by an article published on a financial portal that presented loan repayments with a continuous approach, as opposed to the discrete approach of addressing loan repayments applied in mathematics courses for economists. Using the Anthropological Theory of the Didactic, we analyse the current didactic…
Descriptors: Loan Repayment, Mathematics Instruction, Economics Education, Anthropological Linguistics
Peer reviewed Peer reviewed
Direct linkDirect link
Amedeo Pachera; Stefania Dumbrava; Angela Bonifati; Andrea Mauri – ACM Transactions on Computing Education, 2025
Query languages are the foundations of database teaching and education practices. The broad adoption of graph databases contrasts with the limited research into how they are taught. Contrary to relational databases, graph databases allow navigational queries with higher expressivity and lack an a priori schema. In this article, we design a…
Descriptors: Error Patterns, Graphs, Programming Languages, Databases
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tufan Inaltekin; Tolga Saka – Journal of Baltic Science Education, 2025
In science, one of the most crucial representations for constructing meaning about physical events is graphs. The first graph students encounter in science class is the constant velocity motion graph. Therefore, examining students' understanding of structuring and interpreting these graphs for the relationship between distance, time, and velocity…
Descriptors: Science Instruction, Graphs, Motion, Scientific Concepts
Pages: 1  |  2  |  3  |  4  |  5