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Sabnis, Varun; Abhinav, Kumar; Subramanian, Venkatesh; Dubey, Alpana; Bhat, Padmaraj – International Educational Data Mining Society, 2021
Today, there is a vast amount of online material for learners. However, due to the lack of prerequisite information needed to master them, a lot of time is spent in identifying the right learning content for mastering these concepts. A system that captures underlying prerequisites needed for learning different concepts can help improve the quality…
Descriptors: Prerequisites, Fundamental Concepts, Automation, Natural Language Processing
Glassmeyer, David – PRIMUS, 2023
This article presents a task providing college students opportunities to build on their high school knowledge of trigonometry to explore parametric equations and inverse trigonometric relationships within a contextual learning ladder problem.
Descriptors: Trigonometry, Equations (Mathematics), College Students, High Schools
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
David John; Ritayan Mitra – Frontline Learning Research, 2023
Eye tracking technology enables the visualisation of a problem solver's eye movement while working on a problem. The eye movement of experts has been used to draw attention to expert problem solving processes in a bid to teach procedural skills to learners. Such affordances appear as eye movement modelling examples (EMME) in the literature. This…
Descriptors: Eye Movements, Problem Solving, Expertise, Novices
English, Lyn D. – Statistics Education Research Journal, 2023
This article reports on a study in which third-grade students (8-9 years) were given a degree of agency in conducting chance experiments and representing the outcomes. Students chose their own samples of 12 coloured counters, ensuring all colours were represented. They predicted the outcomes of item selection, tested their predictions, explained…
Descriptors: Grade 3, Elementary School Students, Color, Probability
Allison L. Gantt; Teo Paoletti; Srujana V. Acharya; Claudine Margolis – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Emergent graphical shape thinking (EGST) entails conceiving a graph as being dynamically generated via the trace of a moving point constrained by two changing quantities. As such, Paoletti et al. (2023) argue that meanings for quantities within a situation and meanings for graphical representations must be connected, or bridged, to engage in EGST.…
Descriptors: Graphs, Mathematics Instruction, Task Analysis, Thinking Skills
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
Goutte, Cyril; Durand, Guillaume – International Educational Data Mining Society, 2020
Learning curves are an important tool in cognitive diagnostics modeling to help assess how well students acquire new skills, and to refine and improve knowledge component models. Learning curves are typically obtained from a model estimated on real data obtained from a finite, and usually limited, sample of students. As a consequence, there is…
Descriptors: Learning, Models, Computation, Statistical Analysis
David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
Kendra E. Guinness; Philip N. Chase; Kylan S. Turner; Judah B. Axe – Journal of Behavioral Education, 2024
Graphing is a complex and critical skill for behavior analysts. We evaluated the effects of conceptual training modules and feedback checklists on verbal behavior about graphing conventions and adherence to graphing conventions with graduate students in behavior analysis. In Experiment 1, conceptual training increased the accuracy of verbal…
Descriptors: Feedback (Response), Check Lists, Sequential Approach, Concept Formation
Theerapong Binali; Ching-Hwa Chang; Yen-Jung Chang; Hsin-Yi Chang – Science & Education, 2024
This study surveyed 183 college and senior high school students' graph-interpretation competence in scientific and daily contexts. Specifically, whether students' graph interpretation in scientific and daily contexts differed across educational levels was investigated. Furthermore, the questions of whether students' graph interpretation competence…
Descriptors: College Students, High School Seniors, Graphs, Data Interpretation
Muhammad Hibatullah Romli; Farahiyah Wan Yunus; Chan Choong Foong; Kim Lam Soh – Innovations in Education and Teaching International, 2024
The use of full online learning is projected to continue indefinitely. An instructional design for online learning that incorporates didactic, active learning activities, and health welfare is proposed. A single-subject multiple baseline design with two controls and two experiments was implemented with a class of 30 nursing students. Four weeks of…
Descriptors: Foreign Countries, Nursing Education, Student Attitudes, Online Courses
Stephanie A. Berg – ProQuest LLC, 2024
All chemistry students must develop competency in analyzing and making sense of data. However, there are many difficulties that chemistry students may experience while analyzing data. Many students may not use relevant prior knowledge to aid in making sense of data, or they may not form conclusions using all the data provided. Additionally, prior…
Descriptors: Chemistry, Data Analysis, Data Interpretation, Undergraduate Students
Maria Al Dehaybes; Johan Deprez; Paul van Kampen; Mieke De Cock – Physical Review Physics Education Research, 2025
When learning physics, students need more than just an understanding of mathematical and physical concepts. Integrating the two fields is crucial, as research indicates that students often struggle even when they have a strong grasp of both. In this paper, we use the heat equation as an example from higher education. Given the importance of the…
Descriptors: Calculus, Physics, Science Instruction, Mathematical Concepts
Amram, Meirav; Mouftakhov, Artour – Australian Mathematics Education Journal, 2019
The authors take a mathematical journey into polygonal chains to provide an algorithm that will construct a closed polygonal chain where the lines intersect exactly an exactly an odd number of times.
Descriptors: Geometric Concepts, Plane Geometry, Graphs, Mathematics