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Paula Fehlinger; Sebastian Becker-Genschow; Bianca Watzka – Physical Review Physics Education Research, 2025
The ability to accurately interpret mathematical functions is crucial for understanding complex physical and mathematical concepts. Differentiating isothermal from adiabatic change of state in p-V diagrams respectively graphs of indirectly proportional functions from graphs of power functions in x-y diagrams presents a common challenge for…
Descriptors: Science Education, Grade 10, Secondary School Students, Eye Movements
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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
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Antonio González; Víctor Manero; Alberto Arnal-Bailera; María Luz Puertas – International Journal of Mathematical Education in Science and Technology, 2024
This work is devoted to exploring proof abilities in Graph Theory of undergraduate students of the Degree in Computer Engineering and Technology of the University of Seville. To do this, we have designed a questionnaire consisting of five open-ended items that serve as instrument to collect data concerning their proof skills when dealing with…
Descriptors: Undergraduate Students, Graphs, Validity, Mathematical Logic
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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
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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
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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
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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
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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
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Heather Lynn Johnson; Courtney Donovan; Robert Knurek; Kristin A. Whitmore; Livvia Bechtold – Educational Studies in Mathematics, 2024
Using a mixed methods approach, we explore a relationship between students' graph reasoning and graph selection via a fully online assessment. Our population includes 673 students enrolled in college algebra, an introductory undergraduate mathematics course, across four U.S. postsecondary institutions. The assessment is accessible on computers,…
Descriptors: Models, Graphs, Cognitive Processes, Abstract Reasoning
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Ágnes Bartalis; Iuliana Zsoldos-Marchis; Bernadette Gálfi – International Journal for Technology in Mathematics Education, 2024
Compare problems are the most difficult type of word problems among primary school students, especially inconsistent problems, when the relational term is not consistent with the arithmetic operation required for the solution. The present study examines whether different methods help students successfully solve them and how these approaches…
Descriptors: Problem Solving, Elementary School Students, Arithmetic, Methods
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Kendra E. Guinness; Kylan S. Turner; Philip N. Chase; Judah B. Axe – Education and Treatment of Children, 2024
A growing body of literature suggests manipulating some graphing conventions can affect visual analysis and adherence to graphing conventions varies widely in single case design publications. Yet use of graphing conventions by the wider population of behavior analysts is largely unexplored. The current study examined relations among types of…
Descriptors: Graphs, Applied Behavior Analysis, Demography, Surveys
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Lewis, Heather H. J.; Radley, Keith C.; Dart, Evan H. – Psychology in the Schools, 2022
Single-case design (SCD) is frequently utilized in applied contexts, such as schools or clinics, due to its utility in evaluating individual intervention effects of students. Data collected in SCD are often displayed in a linear graph, which can vary drastically in their construction leading to inconsistencies in rater interpretation. This has led…
Descriptors: Graphs, Standards, School Psychologists, Differences
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Liang, Zibo; Mu, Lan; Chen, Jie; Xie, Qing – Education and Information Technologies, 2023
In recent years, online learning methods have gradually been accepted by more and more people. A large number of online teaching courses and other resources (MOOCs) have also followed. To attract students' interest in learning, many scholars have built recommendation systems for MOOCs. However, students need a variety of different learning…
Descriptors: MOOCs, Artificial Intelligence, Graphs, Educational Resources
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Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
MOOCs might be an important organization way to realize the online learning process. Online technology and sharing technology enable MOOCs to realize the adaptive scheduling of learning resources, as well as the independent construction of learning sequences. At the same time, it also generates a large number of complex learning behaviors. How to…
Descriptors: MOOCs, Learning Processes, Learning Analytics, Graphs
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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
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