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Xiaona Xia; Wanxue Qi – Technology, Pedagogy and Education, 2025
One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…
Descriptors: Graphs, Knowledge Level, MOOCs, Prediction
Ping Hu; Zhaofeng Li; Pei Zhang; Jimei Gao; Liwei Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Given the extensive use of online learning in educational settings, Knowledge Tracing (KT) is becoming increasingly essential. KT primarily aims to predict a student's future knowledge acquisition based on their past learning activities, thus enhancing the efficiency of student learning. However, the effective acquisition of dynamic and evolving…
Descriptors: Knowledge Level, Graphs, Trend Analysis, Time Factors (Learning)
Camilo Andrés Rodríguez-Nieto; Flor Monserrat Rodríguez-Vásquez; Vicenç Font Moll; Sudirman Sudirman; Benilda María Cantillo-Rudas – Educational Process: International Journal, 2025
Background/purpose. One of the current problems facing mathematics students, graduates in mathematics, and engineering is the disconnection between the meanings, symbolic representations, and graphics of derivatives when solving problems, which hinders their understanding. This article analyzes engineering students' understanding activated by…
Descriptors: Knowledge Level, Problem Solving, Graphs, Mathematics Instruction
Nigar Altindis; Kathleen A. Bowe; Brock Couch; Christopher F. Bauer; Melissa L. Aikens – International Journal of STEM Education, 2024
This study investigates undergraduate STEM students' interpretation of quantities and quantitative relationships on graphical representations in biology (population growth) and chemistry (titration) contexts. Interviews (n = 15) were conducted to explore the interplay between students' covariational reasoning skills and their use of disciplinary…
Descriptors: Graphs, Undergraduate Students, STEM Education, Biology
Matías Bustamante-Valdés; Danilo Díaz-Levicoy – International Electronic Journal of Mathematics Education, 2024
This study aims to analyze the graphical comprehension of 5th and 6th grade students in multigrade rural primary education in Chile. The theoretical framework considers levels of reading and semiotic levels in statistical graphs. A qualitative methodology of descriptive level is followed, using content analysis method for the responses given to a…
Descriptors: Rural Schools, Foreign Countries, Multigraded Classes, Grade 5
Londoño, Daniel; Alsina, Ángel – International Electronic Journal of Mathematics Education, 2023
A review of studies analyzing the statistical knowledge of primary schoolchildren (6-12 years old) is carried out. Based on a review in JCR/SSCI, Scopus, Eric, Google Scholar, Science Direct, World Scientific, Springer, and Wiley Online library, 18 articles (2003-2021) have been identified and analyzed based on two objectives: (1) to identify the…
Descriptors: Elementary School Students, Statistics Education, Knowledge Level, Research Methodology
Liu, Chunhong; Zhang, Jieyu; Zhang, Haoyang; Li, Xiaoniu; Zhang, En – International Journal of Information and Communication Technology Education, 2023
Using the educational knowledge graph to express the logical characteristics of knowledge, this paper takes project-driven learning in the teaching of "Information Technology in Secondary Schools" as an example and studies the group cooperative teaching mode based on the educational knowledge graph. The relationship between knowledge…
Descriptors: Cooperative Learning, Knowledge Level, Graphs, Student Projects
Mikeas Silva de Lima; Lilian Pozzer; Salete Linhares Queiroz – Journal of Research in Science Teaching, 2025
In the context of scholarly and scientific discourse, students often have to deal with graphic-visual modes of communication, which requires their ability to comprehend and utilize inscriptions, that is, scientific visual representations, to convey information effectively--what we call graphical literacy. Despite its pivotal role for training…
Descriptors: Graphs, Knowledge Level, Chemistry, Science Instruction
Thomas, Jay – Journal of Applied Testing Technology, 2022
A model of cognition and a construct, such as a concept map (Wilson, 2009), is critical in designing assessments of that construct. The Knowledge, Skills and Abilities (KSAs) in the construct must be put to use in order to assess what test takers know and can do (National Research Council, 2001). In order to validate a construct map for graphic…
Descriptors: Eye Movements, Concept Mapping, Cognitive Processes, Graphs
Aydin-Güç, Funda; Özmen, Zeynep Medine; Güven, Bülent – Journal of Educational Research, 2022
The purpose of this study is to identify and assess the difficulties experienced by the 11th grade students regarding generating, interpreting and comparing scatter plots. The study was carried out with 40 students-enrolled in 11th grade. The difficulties of students were identified through an achievement test on generating, interpreting, and…
Descriptors: Graphs, Grade 11, High School Students, Mathematics Education
Xia Xiao; Ziqi Fang; Shuaiyi Zou; Chengde Zhang; Xinzhong Chen – Interactive Learning Environments, 2024
Online learning has been greatly widespread since the explosion of COVID-19. However, due to the lack of interaction between teachers and students in online courses, it is very difficult for students to focus on course content and complete the learning. Therefore, we developed a novel intelligent multilevel knowledge graph to help students quickly…
Descriptors: Cues, Graphs, Visual Aids, Electronic Learning
Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Stanislava Gardasevic – ProQuest LLC, 2023
This study applies human-centered design principles and involves end users in creating a usable knowledge graph. The aim was to explore the potential advantages of capturing and presenting networked knowledge in a domain for information discovery and decision-making purposes. The case taken for the research is the interdisciplinary Ph.D. program…
Descriptors: Interdisciplinary Approach, Doctoral Programs, Knowledge Level, Graphs
Chaphalkar, Rachel; Wu, Ke – International Electronic Journal of Mathematics Education, 2020
Variation and variability are key concepts in K-16 statistics education. Prior research has investigated students' reasoning about variability in different contexts. However, there is a lack of research on students' development of understanding of variability when comparing distributions in bar graphs, dot plots, and histograms as they took an…
Descriptors: Logical Thinking, Graphs, Mathematical Logic, Statistics
Ozaltun Celik, Aytug – Journal of Pedagogical Research, 2022
Interpreting statistical graphs and making inferences based on the graphs are a precursor for formal statistical inferences. To support student inferences, both teachers and future teachers should have adequate knowledge regarding students' thinking on graphs as well as their potential misinterpretations and difficulties in interpreting graphs. In…
Descriptors: Middle School Teachers, Middle School Students, Mathematics Instruction, Secondary School Mathematics

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