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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
Li Chen; Gen Li; Boxuan Ma; Cheng Tang; Masanori Yamada – International Association for Development of the Information Society, 2024
This paper proposes a three-step approach to develop knowledge graphs that integrate textbook-based target knowledge graph with student dialogue-based knowledge graphs. The study was conducted in seventh-grade STEM classes, following a collaborative problem solving process. First, the proposed approach generates a comprehensive target knowledge…
Descriptors: Concept Mapping, Graphs, Cooperative Learning, Problem Solving
Ilkou, Eleni; Tolmachova, Tetiana; Fisichella, Marco; Taibi, Davide – IEEE Transactions on Learning Technologies, 2023
Currently, the search history in search engines is presented in a list view of some combination of enumerated results by title, URL, or search query. However, this classical list view is not ideal in collaborative search environments as it does not always assist users in understanding collaborators' search history results and the project's status.…
Descriptors: Graphs, Cooperative Learning, Search Strategies, Active Learning
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
Koss, Lorelei – International Journal of Mathematical Education in Science and Technology, 2022
This article discusses a pedagogical technique for utilizing breakout rooms for small group discussions and synchronous drawing features in Zoom to create crowdsourced solutions to mathematical problems that involve graphing or visualization. Students begin with specific examples and then move quickly to the development of a more general…
Descriptors: Mathematics Education, Problem Solving, Electronic Learning, Cooperative Learning
Moala, John Griffith – Mathematics Education Research Journal, 2021
Research shows that though some students can easily find the correct solutions to the problem(s) at hand, the algorithms that these students create are not always ones that would, when implemented, produce the correct solution(s). Towards shedding light on this phenomenon, the present study explicates a mechanism--accounting for features of the…
Descriptors: Mathematics Skills, Problem Solving, Mathematics, Cooperative Learning
Zheng, Lanqin; Niu, Jiayu; Long, Miaolang; Fan, Yunchao – British Journal of Educational Technology, 2023
Computer-supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Graphs, College Students
Torres-Jimenez, Jose; Lescano, Germán; Lara-Alvarez, Carlos; Mitre-Hernandez, Hugo – Education and Information Technologies, 2023
Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…
Descriptors: Conflict, Identification, Computer Assisted Instruction, Cooperative Learning
Zheng, Lanqin; Kinshuk; Fan, Yunchao; Long, Miaolang – Education and Information Technologies, 2023
Online collaborative learning has been an effective pedagogy in the field of education. However, productive collaborative learning cannot occur spontaneously. Learners often have difficulties in collaborative knowledge building, group performance, coregulated behaviors, learning engagement, and social interaction. To promote productive…
Descriptors: Learning Analytics, Performance, Electronic Learning, Cooperative Learning
Germia, Erell; York, Toni; Panorkou, Nicole – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Many studies use instructional designs that include two or more artifacts (digital manipulatives, tables, graphs) to support students' development of reasoning about covarying quantities. While students' forms of covariational reasoning and the designs are often the focus of these studies, the way students' interactions and transitions between…
Descriptors: Thinking Skills, Mathematics Instruction, Grade 6, Cooperative Learning
Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
Gulsah Basol – European Journal of Education (EJED), 2024
The purpose of the study is to present the Beehive Interactive Learning Model (BILM) and to provide an example of its application in an undergraduate statistics course. The model is developed by the researcher, who is a professor in Educational Measurement and Evaluation area in Turkey with over 15 years of teaching experience. The model is based…
Descriptors: Teaching Methods, Statistics Education, Active Learning, Undergraduate Students
York, Toni; Greenstein, Steven; Akuom, Denish – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Covariational reasoning and the creation and interpretation of graphs of covariational situations are important skills in math and science. Unfortunately, research shows that students often struggle to make meaningful connections between graphs and the covariational situations they represent. Educational activities designed to help students…
Descriptors: Mathematics Instruction, Graphs, Thinking Skills, Difficulty Level
Metz, Irene K.; Bennett, Joseph W.; Mason, Sara E. – Journal of Chemical Education, 2021
While computational chemistry continues to play a growing role in chemical research, issues with access and the timing of when these tools are introduced to chemistry students remain as barriers to wider interest and use. The accessibility of free software for chemical modeling has increased in recent years, promoting the inclusion of…
Descriptors: Chemistry, Computation, Introductory Courses, Open Source Technology
Božic, Radoslav; Takaci, Ðurdica; Stankov, Gordana – Interactive Learning Environments, 2021
The authors described the influence of the GeoGebra based environment on students' achievements in the field of functions with parameters, during collaborative learning. Functions with parameters are important because of their application in science. Students had to choose different values for parameters and to examine the properties of the…
Descriptors: Computer Software, Mathematics Instruction, Mathematics Achievement, Calculus