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Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
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Burkholder, Eric; Walsh, Cole; Holmes, N. G. – Physical Review Physics Education Research, 2020
Physics education research (PER) has long used concept inventories to investigate student learning over time and to compare performance across various student subpopulations. PER has traditionally used normalized gain to explore these questions but has begun to use established methods from other fields, including Cohen's "d," multiple…
Descriptors: Physics, Science Education, Educational Research, Science Tests
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Melinda J. Lewis; Rosanne Quinnell – Teaching in Higher Education, 2024
We turn a critical lens to ethical research practices in the context of 'insider' higher education research. Tensions arise due to the risks involved in navigating academic identity and teacher-researcher authenticity. We offer two case studies where ethical tensions surfaced methodological concerns for researchers and participants. Case study one…
Descriptors: Higher Education, Research Methodology, Educational Research, Ethics
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Bhattacharya, Madhumita; Coombs, Steven – Journal of Interactive Learning Research, 2018
This paper explores the usefulness of formalytics for sustainable learning improvement linked to lifelong learning. This can be achieved in two ways; firstly, by providing students with automatic VLE generated feedback of information giving an analysis of their personal data gathered on their learning engagement and performance; secondly, by…
Descriptors: Feedback (Response), Sustainability, Lifelong Learning, Educational Research
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Selwyn, Neil – British Journal of Sociology of Education, 2018
This article reviews two recent books on the rising use of digital data in schools and university education, reflecting on areas of further research, analysis, and action. The books discussed are: (1) "The datafication of primary and early years education: playing with numbers," by A. Bradbury and G. Roberts-Holmes, London, Routledge,…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Greene, Jeffrey A. – Assessment in Education: Principles, Policy & Practice, 2020
The synergies that result from synthesising conceptual models and findings from self-regulated learning and formative assessment research are launching a new era of scholarship. They drive new questions about how to help students to internalise complimentary self-regulatory and assessment knowledge, skills, and dispositions as well as how to…
Descriptors: Self Management, Learning Strategies, Formative Evaluation, Evaluation Research
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Melissa Bond – International Journal of Educational Technology in Higher Education, 2024
In celebrating the 20th anniversary of the "International Journal of Educational Technology in Higher Education (IJETHE)," previously known as the "Revista de Universidad y Sociedad del Conocimiento (RUSC)," it is timely to reflect upon the shape and depth of educational technology research as it has appeared within the…
Descriptors: Periodicals, Journal Articles, Educational Technology, Higher Education
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Scholes, Vanessa – Educational Technology Research and Development, 2016
There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…
Descriptors: Data Collection, Data Analysis, Educational Research, At Risk Students
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Bond, Nathan – Kappa Delta Pi Record, 2022
In this multiple case study, the author analyzes the work of three elementary school teachers who served as instructional support specialists in reading, ESL, and gifted education.
Descriptors: Elementary School Teachers, Teacher Leadership, Instructional Leadership, Specialists
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
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Douglas, Kerrie A.; Bermel, Peter; Alam, Md Monzurul; Madhavan, Krishna – Journal of Learning Analytics, 2016
MOOCs attract a large number of learners with largely unknown diversity in terms of motivation, ability, and goals. To understand more about learners in highly technical engineering MOOCs, this study investigates patterns of learners' (n = 337) behaviour and performance in the Nanophotonic Modelling MOOC, offered through nanoHUB-U. The authors…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Technology Uses in Education
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Alonzo, Alicia C.; Elby, Andrew – Cognition and Instruction, 2019
As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…
Descriptors: Science Teachers, Physics, Models, Learning Processes
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Sun, Jingping; Przybylski, Robert; Johnson, Bob J. – Educational Assessment, Evaluation and Accountability, 2016
Despite the increased worldwide acknowledgment of the importance of teachers' use of formative and/or summative assessment data to improve teaching and learning, empirical research on its impacts on student learning is sparse. Even more so is the lack of studies on the best ways for school leaders to develop teachers' capacity. Teachers generally…
Descriptors: Data, Formative Evaluation, Summative Evaluation, Information Utilization
Riley-Ayers, Shannon – Center on Enhancing Early Learning Outcomes, 2014
This policy report provides a guide and framework to early childhood policymakers considering formative assessment. The report defines formative assessment and outlines its process and application in the context of early childhood. The substance of this document is the issues for consideration in the implementation of the formative assessment…
Descriptors: Formative Evaluation, Early Childhood Education, Educational Policy, Policy Formation
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Goh, Jonathan W. P.; Lee, Ong Kim; Salleh, Hairon – Educational Governance Research, 2017
This chapter provides a discussion on how the Singapore education system uses evidence from educational research conducted both locally and internationally, to shape policies and initiatives that can effectuate the "common good". In addition to research outcomes, the Singapore Ministry of Education also takes into consideration the…
Descriptors: Foreign Countries, Evidence Based Practice, Data Use, Educational Research
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