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Hokor, Evans Kofi; Apawu, Jones; Owusu-Ansah, Nana Akosua; Agormor, Sefakor – Pedagogical Research, 2022
Concerns about the influence of misconceptions, culture and social setting on probabilistic reasoning of teacher trainees led to a study in this area to explore the reasoning of preservice teachers from a college of education in Ghana. This study investigates preservice teachers' misconceptions and difficulties in probabilistic problems solving…
Descriptors: Foreign Countries, Preservice Teachers, Misconceptions, Probability
Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
Yusuf, Mardiana; Rahim, Suzieleez Syrene Abdul; Eu, Leong Kwan – Malaysian Online Journal of Educational Sciences, 2020
Various solving strategies in probability of events could complicate the students in choosing the best strategy in problem solutions. This research was carried out to identify the favourite solving strategies used by college students to solve probability and event problems. As a preliminary of a case study, only three students were selected as…
Descriptors: College Students, College Mathematics, Problem Solving, Word Problems (Mathematics)
Sandoval-Bravo, Salvador; Celso-Arellano, Pedro Luis; Gualajara, Victor; Coronado, Semei – European Journal of Contemporary Education, 2019
The objective of this study is to analyze the ability of students of the University Center for the Economic Administrative Sciences which forms part of the University of Guadalajara from different economic-administrative undergraduate programs, to solve distinct problems in the area of probability, applying a multiple-choice instrument aligned to…
Descriptors: Probability, Undergraduate Students, Economics Education, Problem Solving
Dhlamini, Zwelithini Bongani – South African Journal of Education, 2021
In the study reported on here I evaluated the alignment between the Annual National Assessment (ANA) and Trends in International Mathematics and Science Study (TIMSS). Theoretical perspectives were drawn from the Survey Enacted Curriculum (SEC), while quantitative correlational methods were used to determine the alignment between ANA and TIMSS…
Descriptors: Alignment (Education), Grade 9, Achievement Tests, Foreign Countries
Al-Mutawah, Masooma Ali; Thomas, Ruby; Eid, Abdulla; Mahmoud, Enaz Yousef; Fateel, Moosa Jaafar – International Journal of Education and Practice, 2019
This study measures the mathematical abilities high school graduates' in Bahrain. Mathematical abilities encompass conceptual understanding, procedural knowledge and problem-solving skills in the five content domains which are Number and Operations, Algebra, Geometry, Measurement, and Data Analysis and Probability. While procedural understanding…
Descriptors: Foreign Countries, High School Graduates, Mathematics Skills, Problem Solving
Koparan, Timur – International Journal of Assessment Tools in Education, 2019
Technology and games are the areas where learners are most interested in today's world. If these two can be brought together within the framework of learning objectives, they can be an advantage for teachers and students. This study aims to investigate the learning environment supported by game and simulation. The games were used to evaluate the…
Descriptors: Computer Simulation, Game Based Learning, Educational Environment, Probability
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Saenen, Lore; Heyvaert, Mieke; Van Dooren, Wim; Onghena, Patrick – ZDM: The International Journal on Mathematics Education, 2015
The Monty Hall dilemma (MHD) is a counterintuitive probability problem in which participants often use misleading heuristics, such as the equiprobability bias. Finding the optimal solution to the MHD requires inhibition of these heuristics. In the current study, we investigated the relation between participants' equiprobability bias and their MHD…
Descriptors: Probability, Inhibition, Heuristics, Correlation
Ismail, Yilmaz – International Journal of Educational Administration and Policy Studies, 2016
This study aims to develop a semiotic declarative knowledge model, which is a positive constructive behavior model that systematically facilitates understanding in order to ensure that learners think accurately and ask the right questions about a topic. The data used to develop the experimental model were obtained using four measurement tools…
Descriptors: Science Instruction, Semiotics, Grade 1, Elementary School Science
Murphy, Amanda; Terrizzi, Marissa; Cormas, Peter – Mathematics Teaching, 2012
"Probability is a difficult concept to teach, because children and adults find it counterintuitive." This is impetus to consider the detailed planning of a set of lessons with a "mixed", in many senses, group of fourth graders. Can the use of prior experience, and the knowledge associated with that experience, make probability a concept that is…
Descriptors: Probability, Grade 4, Mathematics Instruction, Prior Learning
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education

Bright, George W. – Journal of Experimental Education, 1980
A simple probability game was analyzed hierarchically in terms of the strategies that would lead most often to an efficient sequence of plays. A series of experiments showed there was no relationship between the use of first-order strategy and knowledge of the probability content of the game. (Author/GDC)
Descriptors: Educational Games, Higher Education, Knowledge Level, Mathematical Concepts

Falmagne, Jean-Claude; And Others – Psychological Review, 1990
This article gives a comprehensive description of a theory for efficient assessment of knowledge. The essential concept is that the knowledge state of a subject, with regard to a specified field of information, can be represented by a particular subset of problems that the subject is capable of solving. (SLD)
Descriptors: Algorithms, Educational Assessment, Equations (Mathematics), Evaluation Methods
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