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Jane M. Watson; Zalman Usiskin – For the Learning of Mathematics, 2025
A newspaper article about the availability of guns in Chicago, presented at a mathematics education conference in that city in 1998, is linked to a tragic shooting near that city in 2022. The article was used in Australia for many years in research with teachers and students to assess statistical literacy in relation to sampling, until ethics…
Descriptors: News Reporting, Weapons, Mathematics Education, Conferences (Gatherings)
Zorluoglu, Seraceddin Levent; Yalçinkaya Önder, Eylem; Timur, Betül; Timur, Serkan; Güvenç, Elif; Özergun, Ilgim; Özdemir, Muzaffer – Journal of Baltic Science Education, 2022
Science education focuses on the methods of thinking about and using process skills rather than memorizing scientific facts. 5E educational model aims to learn by discovering scientific knowledge and engaging students in learning environments. The aim of this study was to examine the articles in the field of education related to the 5E educational…
Descriptors: Science Process Skills, Models, Science Instruction, Teaching Methods
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Hamzah, Nurjailam; Maat, Siti Mistima; Ikhsan, Zanaton – Pegem Journal of Education and Instruction, 2023
The rapid development in the world of technology and communication has contributed directly to the teaching and learning process in schools. Therefore, a paradigm shift towards learning methods in the education system needs to be implemented to meet the educational aims of the 21st century. This is due to the current methods of delivery in…
Descriptors: Needs Assessment, Computer Oriented Programs, Mathematics Education, Trigonometry
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Secondary School Students' Reasoning about Conditional Probability, Samples, and Sampling Procedures
Prodromou, Theodosia – Statistics Education Research Journal, 2016
In the Australian mathematics curriculum, Year 12 students (aged 16-17) are asked to solve conditional probability problems that involve the representation of the problem situation with two-way tables or three-dimensional diagrams and consider sampling procedures that result in different correct answers. In a small exploratory study, we…
Descriptors: Secondary School Students, Thinking Skills, Probability, Sampling
Fife, James H.; James, Kofi; Peters, Stephanie – ETS Research Report Series, 2020
The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…
Descriptors: Mathematics Education, Statistics Education, Feedback (Response), Research Reports
Lee, Hollylynne S.; Doerr, Helen M.; Tran, Dung; Lovett, Jennifer N. – Statistics Education Research Journal, 2016
Repeated sampling approaches to inference that rely on simulations have recently gained prominence in statistics education, and probabilistic concepts are at the core of this approach. In this approach, learners need to develop a mapping among the problem situation, a physical enactment, computer representations, and the underlying randomization…
Descriptors: Probability, Inferences, Statistics, Teaching Methods
Nawi, Aliff; Hamzah, Mohd Isa; Rahim, Arif Abdul – Turkish Online Journal of Distance Education, 2015
This study was conducted to investigate the perceptions of the religious teachers' readiness to use mobile phones as m-learning. The focus of the study is to examine some aspects namely; (1) types of handset used; (2) the use of mobile applications, (3) mobile learning activities, and; (4) the acceptance of mobile phones in teaching and learning.…
Descriptors: Islam, Religious Education, Sampling, Telecommunications
Munawaroh – International Journal of Environmental and Science Education, 2017
This research aims to explain the influence of teacher's teaching methods and learning environment to the learning achievement in class XI with the competency of accounting expertise to the subjects of craft and entrepreneurship, according to the students, the subject was very heavy and dull. The population in this research are students in class…
Descriptors: Teaching Methods, Educational Environment, Multiple Regression Analysis, Academic Achievement
Tchoshanov, Mourat; Quinones, Maria Cruz; Shakirova, Kadriya B.; Ibragimova, Elena N.; Shakirova, Liliana R. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
The interpretive cross-case study focused on the examination of connections between teacher and student topic-specific knowledge of lower secondary mathematics. Two teachers were selected for the study using non-probability purposive sampling technique. Teachers completed the Teacher Content Knowledge Survey before teaching a topic on division of…
Descriptors: Secondary School Teachers, Pedagogical Content Knowledge, Knowledge Base for Teaching, Teacher Surveys
Aziz, Fakhra; Quraishi, Uzma – Cogent Education, 2017
The present descriptive study aimed to get an insight into secondary school students' beliefs regarding English language learning. The survey method was employed for obtaining data from the secondary school students (N = 664). A modified version of "beliefs about language learning inventory" was used to collect data. Five out of nine…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
Tandiseru, Selvi Rajuaty – Journal of Education and Practice, 2015
The problem in this research is the lack of creative thinking skills of students. One of the learning models that is expected to enhance student's creative thinking skill is the local culture-based mathematical heuristic-KR learning model (LC-BMHLM). Heuristic-KR is a learning model which was introduced by Krulik and Rudnick (1995) that is the…
Descriptors: Heuristics, Statistical Analysis, Creative Thinking, Thinking Skills
Badru, Ademola K. – Journal of Education and Practice, 2016
The study investigated Problem-based Instructional Strategy and Numerical ability as determinants of Senior Secondary Achievement in Mathematics. This study used 4 x 2 x 2 non-randomised control group Pretest-Posttest Quasi-experimental Factorial design. It consisted of two independent variables (treatment and Numerical ability) and one moderating…
Descriptors: Teaching Methods, Problem Based Learning, Secondary School Students, Mathematics Achievement