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Alejandro Ramírez-Contreras; Leopoldo Zúñiga-Silva; Ezequiel Ojeda-Gómez – International Electronic Journal of Mathematics Education, 2023
This paper reports on an exploratory study about probabilistic intuition in learning mathematics for decision-making. The analysis was carried out on a group of high school students in relation to their probabilistic intuition in problem-solving, after performing playful learning activities on a simulation platform specifically designed for this…
Descriptors: High School Students, Mathematics Instruction, Intuition, Probability
María del Mar López-Martín; María Burgos Navarro; Verónica Albanese – Statistics Education Research Journal, 2025
To ensure the learning of mathematics, teachers must be able to analyse their students' mathematical practices when solving tasks, interpret the difficulties that students encounter, and decide how to manage students' difficulties. This competence in didactic analysis and intervention allows teachers to adapt their teaching to meet individual…
Descriptors: Statistics Education, Mathematics Instruction, Student Needs, Preservice Teachers
Pérez, Katherine Machuca; Delgadillo, Elizabeth Montoya – Canadian Journal of Science, Mathematics and Technology Education, 2022
The objective of this qualitative research is to study the mathematical work when solving a mathematical task in the domain of probability presented by Chilean high school mathematics teachers in pre-service and in-service training. We consider as theoretical support the Mathematical Working Space model and methodological design of a collective…
Descriptors: Foreign Countries, Mathematics Instruction, Problem Solving, Probability
Letkowski, Jerzy – Journal of Instructional Pedagogies, 2018
Single-period inventory models with uncertain demand are very well known in the business analytics community. Typically, such models are rule-based functions, or sets of functions, of one decision variable (order quantity) and one random variable (demand). In academics, the models are taught selectively and usually not completely. Students are…
Descriptors: Models, Data Analysis, Decision Making, Teaching Methods
Hoogerheide, Vincent; Loyens, Sofie M. M.; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2016
Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer similarity hypothesis suggests that such…
Descriptors: Video Technology, Modeling (Psychology), Electronic Learning, Gender Differences
Anselmi, Pasquale; Robusto, Egidio; Stefanutti, Luca – Psychometrika, 2012
The Gain-Loss model is a probabilistic skill multimap model for assessing learning processes. In practical applications, more than one skill multimap could be plausible, while none corresponds to the true one. The article investigates whether constraining the error probabilities is a way of uncovering the best skill assignment among a number of…
Descriptors: Item Response Theory, Learning Processes, Simulation, Probability
Christ, Tanya; Arya, Poonam; Chiu, Ming Ming – Teaching Education, 2014
Given international use of video-based reflective discussions in teacher education, and the limited knowledge about whether teachers apply learning from these discussions, we explored teachers' learning of new ideas about pedagogy and their self-reported application of this learning. Nine inservice and 48 preservice teachers participated in…
Descriptors: Teaching Methods, Video Technology, Reflection, Educational Practices
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
Hodgen, Jeremy; Foster, Colin; Marks, Rachel; Brown, Margaret – Education Endowment Foundation, 2018
This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the guidance document "Improving Mathematics in Key Stages Two and Three" (Education Endowment Foundation, 2017). The review draws on a substantial parallel study by the same research team, funded by the Nuffield Foundation, which…
Descriptors: Mathematics Instruction, Foreign Countries, Mathematics Skills, Feedback (Response)
Tseng, Shian-Shyong; Weng, Jui-Feng – Interactive Learning Environments, 2010
The most important thing for learners in Programming Language subject is problem solving. During the practical programming project, various problems may occur and learners usually need consultation from the senior programmers (i.e. the experts) to assist them in solving the problems. Thus, the inquiry-based learning with learning forum is applied…
Descriptors: Programming Languages, Inquiry, Active Learning, Problem Solving
Guo, Zhen – ProQuest LLC, 2010
A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Data
Berthold, Kirsten; Renkl, Alexander – Journal of Educational Psychology, 2009
The main goals of this study were to test whether multiple representations, such as diagrams and equations, per se help to acquire conceptual understanding in probability, and to investigate whether learners need instructional support to utilize the potentials of multiple representations. The authors conducted an experimental study with 8…
Descriptors: Problem Solving, Probability, Visual Aids, High School Students
Learner Performance in Multimedia Learning Arrangements: An Analysis across Instructional Approaches
Eysink, Tessa H. S.; de Jong, Ton; Berthold, Kirsten; Kolloffel, Bas; Opfermann, Maria; Wouters, Pieter – American Educational Research Journal, 2009
In this study, the authors compared four multimedia learning arrangements differing in instructional approach on effectiveness and efficiency for learning: (a) hypermedia learning, (b) observational learning, (c) self-explanation-based learning, and (d) inquiry learning. The approaches all advocate learners' active attitude toward the learning…
Descriptors: Instructional Design, Observational Learning, Learning Processes, Teaching Methods

Agnoli, Franca; Krantz, David H. – Cognitive Psychology, 1989
Two experiments, with 300 adult women as subjects, studied the effects of laboratory training on the use of the Conjunction Rule, a principle of probability that is often violated. Learning alternative strategies enabled trained subjects to use extensional reasoning rather than intensional heuristics. (SLD)
Descriptors: Adults, Cognitive Processes, Employed Women, Females
Ginsburg, Lynda; Manly, Myrna; Schmitt, Mary Jane – National Center for the Study of Adult Learning and Literacy (NCSALL), 2006
The term "numeracy" is used in the adult education community to include an array of mathematically related proficiencies that are evident in adults' lives and worthy of attention in adult education settings. This occasional paper attempts to describe the complex nature of numeracy as it exists today. All stakeholders--including policymakers,…
Descriptors: Adult Education, Numeracy, Mathematics Skills, Mathematics Instruction
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