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Chen, Lin-An; Kao, Chu-Lan Michael – International Journal of Mathematical Education in Science and Technology, 2022
The uniformly most accurate (UMA) is an important optimal approach in interval estimation, but the current literature often introduces it in a confusing way, rendering the learning, teaching and researching of UMA problematic. Two major aspects cause this confusion. First, UMA is often interpreted to maximize the accuracy of coverage, but in fact,…
Descriptors: Accuracy, Mathematics Instruction, Learning Processes, Probability
Khachatryan, Davit – Journal of Statistics and Data Science Education, 2023
According to decades of research in educational psychology, learning is a social process that is enhanced when it happens in contexts that are familiar and relevant. But because of the skyrocketing popularity of data science, today we often work with students coming from an abundance of academic concentrations, professional, and personal…
Descriptors: Statistics Education, Teaching Methods, Visual Aids, Music
Udi Alter; Carmen Dang; Zachary J. Kunicki; Alyssa Counsell – Teaching Statistics: An International Journal for Teachers, 2024
The biggest difference in statistical training from previous decades is the increased use of software. However, little research examines how software impacts learning statistics. Assessing the value of software to statistical learning demands appropriate, valid, and reliable measures. The present study expands the arsenal of tools by reporting on…
Descriptors: Statistics Education, Student Attitudes, Course Descriptions, Social Sciences
Meng Li – Mathematics Education Research Group of Australasia, 2024
The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…
Descriptors: Visual Aids, Data Analysis, Mathematics Instruction, Statistics Education
Estrella, Soledad; Méndez-Reina, Maritza; Vidal-Szabó, Pedro – Statistics Education Research Journal, 2023
Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…
Descriptors: Grade 3, Elementary School Students, Learning Trajectories, Statistics Education
Ung Hua Lau; Zaidatun Tasir – Educational Technology Research and Development, 2024
An online authentic learning environment (OnALE) is proposed in this study to facilitate students' learning of inferential statistics in a real-life context. The efficacy of the OnALE, in comparison to the conventional approach relative to the students' performance, was explored. Respondents from the experimental group were purposively selected to…
Descriptors: Online Courses, Authentic Learning, Academic Achievement, Comparative Analysis
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
Yuriko Hoshiya Brown – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
The importance of statistical and mathematical literacy has been argued for a long time from social justice and equity perspectives. In this study, the famous brain teaser in math literacy, the Monty Hall Problem is used to investigate if schema revision is possible with a minimal intervention. The participants are 55 undergraduate students. Three…
Descriptors: Schemata (Cognition), Problem Solving, Mathematics Instruction, Mathematics Skills
Salas-Rueda, Ricardo-Adan – Turkish Online Journal of Distance Education, 2022
Educational institutions seek to transform the teaching-learning conditions through the use of new pedagogical and technological models. The aim of this quantitative research is to analyze the use of flipped classroom in the teaching-learning process on descriptive statistics through data science. The participants are 49 students who took the…
Descriptors: Flipped Classroom, Teaching Methods, Learning Processes, Statistics Education
Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
Mitali Thatte; Katie Makar – Mathematics Education Research Group of Australasia, 2024
This study was conducted in Maharashtra, India with children studying in a regional medium (Marathi) government school. In Marathi, the translation of the word 'about' is not very commonly used. The aim of the study was to see how the children used uncertain language about prediction while engaged in a statistical investigation and how children…
Descriptors: Mathematics Instruction, Teaching Methods, Native Language, Language of Instruction
Jessica Sickler; Michelle Lentzner; Lynn T. Goldsmith; Lauren Brase; Randall Kochevar – International Journal of Science Education, 2024
The need for data literacy is an increasingly pressing priority in society, but most of the work in data-centred education has focused on developing skills at the middle school, secondary, and post-secondary levels, with little attention on the potential for engaging elementary-aged students in reasoning with and about data. This paper reports…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Benson, Wendi L.; Dunning, Jonathan P.; Barber, Danette – Teaching of Psychology, 2022
Background: Research shows distributed practice enhances learning and skill development, but less is known about the effect on perceptions and attitudes toward the material being learned. Objective: This study examined whether distributed practice could improve performance and attitudes in statistics, a subject that students report finding…
Descriptors: Teaching Methods, Student Attitudes, Comparative Analysis, Anxiety
Jon Anasagasti; Ainhoa Berciano; Ane Izagirre – Journal on Mathematics Education, 2023
Over the last decades, it has been shown that teaching and learning statistics is complex, regardless of the teaching methodology. This research presents the different learning profiles identified in a group of future Primary Education (PE) teachers during the study of the Statistics block depending on the methodology used and gender, where the…
Descriptors: Gender Differences, Statistics Education, Student Attitudes, Learning Processes
Johnson, Marina E.; Misra, Ram; Berenson, Mark – Decision Sciences Journal of Innovative Education, 2022
In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…
Descriptors: Bayesian Statistics, Programming Languages, Artificial Intelligence, Data Analysis
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