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Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
Zhang, Zheng; Nagle, Joelle; McKishnie, Bethany; Lin, Zhen; Li, Wanjing – Pedagogies: An International Journal, 2019
This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…
Descriptors: Multiple Literacies, Educational Research, Data Collection, Data Analysis
Stanislav Pozdniakov; Roberto Martinez-Maldonado; Yi-Shan Tsai; Vanessa Echeverria; Zachari Swiecki; Dragan Gaševic – Journal of Learning Analytics, 2025
Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…
Descriptors: Visual Aids, Learning Analytics, Technological Literacy, Pedagogical Content Knowledge
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
Hollingsworth, Hilary; Heard, Jonathan; Weldon, Paul R. – Australian Council for Educational Research, 2019
Each year teachers and principals in schools across Australia invest much time and effort, and considerable expense, in activities related to communicating student learning progress. However little is known about the effectiveness of these activities, including the extent to which they are valued by stakeholders, whether they are considered to…
Descriptors: Learning Processes, Academic Achievement, Program Descriptions, Data Collection
Watson, Jane; Fitzallen, Noleine – Mathematics Education Research Group of Australasia, 2021
Statistical terms are used in everyday language and, at times, used in non-statistical ways. It is often assumed students understand statistical terms because of their common use; however, research into their understanding of specific statistical terms is scant. This report focuses on 58 Year 3 students' responses to the basic question, "What…
Descriptors: Mathematics Instruction, Grade 3, Elementary School Students, Data Analysis
Ifenthaler, Dirk; Gibson, David; Zheng, Longwei – International Association for Development of the Information Society, 2018
This study is part of a research programme investigating the dynamics and impacts of learning engagement in a challenge-based digital learning environment. Learning engagement is a multidimensional concept which includes an individual's ability to behaviourally, cognitively, emotionally, and motivationally engage in an on-going learning process.…
Descriptors: Learner Engagement, Electronic Learning, Learning Analytics, College Students
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
Killen, Catherine P. – European Journal of Engineering Education, 2015
This paper outlines a novel approach to engineering education research that provides three dimensions of learning through an experiential class activity. A simulated decision activity brought current research into the classroom, explored the effect of experiential activity on learning outcomes and contributed to the research on innovation decision…
Descriptors: Engineering Education, Educational Innovation, Educational Research, Experiential Learning
Colthorpe, Kay; Zimbardi, Kirsten; Ainscough, Louise; Anderson, Stephen – Journal of Learning Analytics, 2015
It is well established that a student's capacity to regulate his or her own learning is a key determinant of academic success, suggesting that interventions targeting improvements in self-regulation will have a positive impact on academic performance. However, to evaluate the success of such interventions, the self-regulatory characteristics of…
Descriptors: Data Analysis, Data Collection, Educational Research, Self Control
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
Kitto, Kirsty; Lupton, Mandy; Davis, Kate; Waters, Zak – Australasian Journal of Educational Technology, 2017
Despite a narrative that sees learning analytics (LA) as a field that aims to enhance student learning, few student-facing solutions have emerged. This can make it difficult for educators to imagine how data can be used in the classroom, and in turn diminishes the promise of LA as an enabler for encouraging important skills such as sense-making,…
Descriptors: Curriculum Design, Design Requirements, Student Records, Data
Moll, Rachel; Nielsen, Wendy – International Journal of Science Education, Part B: Communication and Public Engagement, 2017
The purpose of this study is to describe the development and validation of a survey that examines science students' social media learning behaviours. Inherent in critiques regarding "digital natives" is a need to better understand what the current generation of learners actually do in their social media practices for…
Descriptors: Test Construction, Test Validity, Student Surveys, Social Media
Fletcher, Anna Katarina – Educational Research, 2016
Background: The active involvement of learners as critical, reflective and capable agents in the learning process is a core aim in contemporary education policy in Australia, and is regarded as a significant factor for academic success. However, within the relevant literature, the issue of positioning students as agents in the learning process has…
Descriptors: Foreign Countries, Scaffolding (Teaching Technique), Learning Theories, Self Evaluation (Individuals)
Colasante, Meg; Douglas, Kathy – Australasian Journal of Educational Technology, 2016
Annotation of video provides students with the opportunity to view and engage with audiovisual content in an interactive and participatory way rather than in passive-receptive mode. This article discusses research into the use of video annotation in four vocational programs at RMIT University in Melbourne, which allowed students to interact with…
Descriptors: Active Learning, Video Technology, Audiovisual Aids, Interactive Video
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