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Jan Kalenda; Ellen Boeren – International Journal of Lifelong Education, 2025
International organisations have measured adult learning participation since the 1990s, using surveys like the Adult Education Survey (AES) and the Programme for the International Assessment of Adult Competencies (PIAAC). These surveys employ a 'triadic' classification of learning activities -- formal (FAE), non-formal (NFE) and informal learning…
Descriptors: Classification, Adult Education, Adult Students, Participation
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Javiera Atenasa; Leo Havemannb; Chrissi Nerantzi – Research in Learning Technology, 2024
This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…
Descriptors: Artificial Intelligence, Data, Literacy, Teaching Methods
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Komp, Evan A.; Pelkie, Brenden; Janulaitis, Nida; Abel, Michael; Castillo, Ivan; Chiang, Leo H.; Peng, You; Beck, David C.; Valleau, Stéphanie – Chemical Engineering Education, 2023
We present a two-week active learning chemical engineering hackathon event specifically designed to teach undergraduate chemical engineering students of any skill level data science through Python and directly apply this knowledge to a real problem provided by industry. The event is free and optional to the students. We use self-evaluation surveys…
Descriptors: Data Science, Undergraduate Students, Learning Activities, Chemical Engineering
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Rozita Tsoni; Georgia Garani; Vassilios S. Verykios – Interactive Learning Environments, 2024
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…
Descriptors: Data Use, Distance Education, Learning Analytics, Educational Research
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Richardson, Alice M.; Dunn, Peter K. – Teaching Statistics: An International Journal for Teachers, 2021
The focus of this paper is learning the language of data science and statistics through the use of simple classroom activities. Many terms in statistics are known to be lexically ambiguous, having one meaning in general English conversation and another, more technical, meaning in statistical English. The main aim is to investigate whether the…
Descriptors: Intervention, Learner Engagement, Data Analysis, Interdisciplinary Approach
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2016. Highlights include: (1) In-training as at 30 September 2016--There were 278,500 apprentices and trainees in-training as of 30 September 2016, a decrease of 5.7% from 30 September 2015; (2) Quarterly training activity--In the…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This publication presents estimates of apprentice and trainee activity in Australia for the December quarter 2016. The figures in this publication are derived from the National Apprentice and Trainee Collection no.91 (March 2017 estimates). The most recent figures in this publication are estimated (that is, for training activity from the June…
Descriptors: Apprenticeships, Trainees, Vocational Education, Statistical Data
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Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
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Bhargava, Rahul; Brea, Amanda; Palacin, Victoria; Perovich, Laura; Hinson, Jesse – Educational Technology & Society, 2022
Data literacy is a growing area of focus across multiple disciplines in higher education. The dominant forms of introduction focus on computational toolchains and statistical ways of knowing. As data driven decision-making becomes more central to democratic processes, a larger group of learners must be engaged in order to ensure they have a seat…
Descriptors: Theater Arts, Data Analysis, Social Justice, Statistics Education
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Lee, Victor R.; Drake, Joel; Williamson, Kylie – TechTrends: Linking Research and Practice to Improve Learning, 2015
Accessibility to wearable technology has exploded in the last decade. As such, this technology has potential to be used in classrooms in uniquely interactive and personally meaningful ways. Seeing this as a possible future for schools, we have been exploring approaches for designing activities to incorporate wearable physical activity data…
Descriptors: Physical Education, Handheld Devices, Technology Uses in Education, Data Collection
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Leonard, Simon N.; Fitzgerald, Robert N.; Bacon, Matt – Australasian Journal of Educational Technology, 2016
Emerging technologies offer an opportunity for the development, at the institutional level, of quality processes with greater capacity to enhance learning in higher education than available through current quality processes. These systems offer the potential to extend use of learning analytics in institutional-level quality processes in addition…
Descriptors: Foreign Countries, Educational Technology, Technological Advancement, Quality Assurance
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Kimura, Daisuke; Malabarba, Taiane; Hall, Joan Kelly – Classroom Discourse, 2018
With the growing centrality of digital recording technologies to conversation analysis (CA) research, an emerging array of publications has begun to provide useful methodological insights on how to capture multimodal and temporal complexities of social interaction in video footages. By and large, however, they have been written as general…
Descriptors: Data Collection, Classroom Communication, Discourse Analysis, Research Methodology
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Meinck, Sabine; Stancel-Piatak, Agnes; Eraydin, Ipek – AERA Online Paper Repository, 2017
The acquisition of early literacy skills prior to school can positively influence later educational outcomes. However, children from culturally and economically disadvantaged backgrounds often lack stimulating educational activities at home. This analysis provides empirical evidence for 31 education systems on the association between parental…
Descriptors: Achievement Tests, Foreign Countries, Reading Achievement, Reading Tests
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