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Tim Erickson – Australian Mathematics Education Journal, 2023
This is the first of four columns by Tim Erikson which introduces us to the Common Online Data Analysis Platform (CODAP). CODAP is a free, web-based software tool that your students can use for many types of tasks. This first column shows how CODAP can be used for mathematical modelling and where it might fit with the "Australian Curriculum:…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Data Analysis
Elhajjar, Samer; Borna, Shaheen – Marketing Education Review, 2023
This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…
Descriptors: Marketing, Teaching Methods, Competition, Statistics Education
Kinnear, Virginia – Statistics Education Research Journal, 2023
This paper describes the role of data and task context in young children's interpretation of and reasoning about data tables. A design-based descriptive study was conducted with fourteen 5-year-old children in their first year of formal schooling. A picture storybook provided the data context for a data modelling activity that focused on…
Descriptors: Statistics Education, Data Analysis, Tables (Data), Thinking Skills
Kennedy-Clark, Shannon; Galstaun, Vilma; Reimann, Peter; Martyn, Taylor; Williamson, Kiatin; Weight, Jessica – Australian Journal of Teacher Education, 2020
The purpose of study was gain insight into pre-service teachers' experiences in using classroom data to make learning and teaching decisions. The qualitative study is based on the reflections and recommendations of three pre-service teachers' that participated in a data-driven decision-making intervention whilst on an immersive 10-week…
Descriptors: Data Analysis, Preservice Teachers, Student Attitudes, Decision Making
Khosravi, Hassan; Kitto, Kirsty; Williams, Joseph Jay – Journal of Learning Analytics, 2019
This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning activities that are generated by educators and the students themselves. RiPPLE integrates insights from…
Descriptors: Data Analysis, Learning Activities, Management Systems, Foreign Countries
Tytler, Russell; Ferguson, Joseph; White, Peta – Learning: Research and Practice, 2020
Increasingly, learning in science and mathematics is considered in terms of induction into the multimodal language practices of the disciplinary community. A strong strand of research in this tradition has involved students being challenged to invent multimodal language forms, and their ideas refined through structured guidance. Often, however,…
Descriptors: Science Instruction, Mathematics Instruction, Inquiry, Teaching Methods
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
Hardy, Ian – Journal of Education Policy, 2021
Drawing upon recent theorising of numbers and data, and applications to schooling, this paper reveals how tensions between more accountability-oriented logics, and more contextually-situated conceptions of engagement with data, played out in one school in a regional community in northern Queensland, Australia. The research reveals that at the same…
Descriptors: Data Analysis, Accountability, Faculty Development, Academic Achievement
Cunningham-Nelson, Samuel; Baktashmotlagh, Mahsa; Boles, Wageeh – IEEE Transactions on Education, 2019
Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal learning and teaching aspects of the course that either may require improvement or are performing well. They provide educators with a simple, systematic way to…
Descriptors: Student Attitudes, Visualization, Course Evaluation, Teaching Methods
Wellington, Angela; Easton, Genevieve; Davis, James; Yeh, Andy – Teaching Science, 2020
An important element of STEAM education that teachers struggle with is the adoption and application of digital technologies. Digital technologies have the potential to enhance social inclusion and student-centred learning, and for this reason it is important for teachers across all levels of schooling to develop skills and confidence in this area…
Descriptors: STEM Education, Art Education, Interdisciplinary Approach, Teaching Methods
Singh, Parlo – European Educational Research Journal, 2018
Basil Bernstein wrote extensively about official educational knowledge, pedagogic recontextualisation and pedagogic identities. However, his theoretical oeuvre tended to focus on the textual rather than the affective aspects of policy recontextualisation. In addition, his work on the realisation of official pedagogic identity positions at the…
Descriptors: Teaching Methods, Professional Identity, Educational Policy, Teacher Attitudes
de Bruin, Leon R. – Australian Journal of Teacher Education, 2018
This qualitative study investigates the dialogic interactions between teacher and student that enhance learning and teaching within the one-to-one music improvisation lesson. This study analyses the ways teachers elicit student actions, thoughts and processes that develop student skills, critical and creative thinking processes necessary for…
Descriptors: Dialogs (Language), Interpersonal Communication, Teacher Student Relationship, Music Education
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
Saundage, Dilal; Cybulski, Jacob L.; Keller, Susan; Dharmasena, Lasitha – Journal of Information Systems Education, 2016
Data analysis is a major part of business analytics (BA), which refers to the skills, methods, and technologies that enable managers to make swift, quality decisions based on large amounts of data. BA has become a major component of Information Systems (IS) courses all over the world. The challenge for IS educators is to teach data analysis--the…
Descriptors: Foreign Countries, Undergraduate Students, Teaching Methods, Data Analysis
English, Lyn; Watson, Jane – Australian Primary Mathematics Classroom, 2016
Statistical literacy is a vital component of numeracy. Students need to learn to critically evaluate and interpret statistical information if they are to become informed citizens. This article examines a Year 5 unit of work that uses the data collection and analysis cycle within a sustainability context.
Descriptors: Decision Making Skills, Statistics, Data, Data Interpretation