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Foundations of dynamic learning analytics: Using university student data to increase retention

Sara de Freitas, David Gibson, Coert Du Plessis, Pat Halloran, Ed Williams, Matt Ambrose, Ian Dunwell, Sylvester Arnab
2014 British Journal of Educational Technology  
FOUNDATIONS OF DYNAMIC LEARNING ANALYTICS: USING UNIVERSITY STUDENT DATA TO INCREASE RETENTION Today, a plethora of data sets can be harvested from digital learning experiences, learning management systems  ...  Improvement stimulated by the dynamical learning analytics strategy espoused here will continue to provide a vital and productive resource for the university, impacting upon increasing student retention  ... 
doi:10.1111/bjet.12212 fatcat:t5gcziobcnczvjwoguboarkfbi

Learning Analytics

Sharon Slade, Paul Prinsloo
2013 American Behavioral Scientist  
The field of learning analytics has the potential to enable higher education institutions to increase their understanding of their students' learning needs and to use that understanding to positively influence  ...  Analysis of data relating to students and their engagement with their learning is the foundation of this process.  ...  In the field of learning analytics, discussions around the ethical implications of increasing an institution's scrutiny of student data typically relates to ownership of that data and to student privacy  ... 
doi:10.1177/0002764213479366 fatcat:52uye6scxnfzveeq23chkmmf5e

Exploratory Analysis in Learning Analytics

David Gibson, Sara de Freitas
2015 Technology, Knowledge and Learning  
The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5year period at a large Australian university.  ...  The article presents the research contexts, the tools and methods used in the exploratory phases of analysis, the major findings and the implications for learning analytics research methods.  ...  One project is connected to work at Harvard University, and one is an ongoing retention analytics project at Curtin University. The cases share some common features.  ... 
doi:10.1007/s10758-015-9249-5 fatcat:lcccvb7z4zejtf4n6bviep64pa

Learning analytics in higher education: an analysis of case studies

Billy Tak Ming Wong
2017 AAOU Journal  
learning skills); the use of visualizations to explore and interpret data and to prompt remedial actions; and the derivation of interventions to shape the learning environment.  ...  Learning analytics can facilitate evaluation of the effectiveness of pedagogies and instructional designs for improvement, and help to monitor closely students' learning and persistence, predict students  ...  Starfish EARLY ALERT automates data collection and uses analytics to increase the identification of at-risk students The Starfish EARLY ALERT and CONNECT automatically prioritize students who are  ... 
doi:10.1108/aaouj-01-2017-0009 fatcat:dwyt6u3knnhjtccyqad73yk67a

Demystifying Learning Analytics in Personalised Learning

Andino Maseleno, Noraisikin Sabani, Miftachul Huda, Roslee Ahmad, Kamarul Azmi Jasmi, Bushrah Basiron
2018 International Journal of Engineering & Technology  
Learning analytics is defined as a way to measure, collect, analyse and report data about learners and their context, for the purpose of understanding and optimizing learning.  ...  This paper presents learning analytics as a mean to improve students' learning.  ...  Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing students' learning retention, improving students' learning success, and easing  ... 
doi:10.14419/ijet.v7i3.9789 fatcat:pv7ubijg4zauxn4idgdncl7wvq

Social learning analytics

Rebecca Ferguson, Simon Buckingham Shum
2012 Proceedings of the 2nd International Conference on Learning Analytics and Knowledge - LAK '12  
The second challenge is to identify different types of SLA and their associated technologies and uses.  ...  We discuss five categories of analytic in relation to online social learning; these analytics are either inherently social or can be socialised.  ...  Acknowledgements We gratefully acknowledge The Open University for resourcing the SocialLearn Project, several anonymous reviewers for their constructive reviews on earlier drafts, and the encouragement  ... 
doi:10.1145/2330601.2330616 dblp:conf/lak/FergusonS12 fatcat:lk6gaeuohnd33hyayajnaedux4

Analytics to literacies: The development of a learning analytics framework for multiliteracies assessment

Shane Dawson, George Siemens
2014 International Review of Research in Open and Distance Learning  
Drawing on the work of Jenkins and colleagues (2006) and notions of a participatory culture, this paper proposes a conceptual framework for how learning analytics can assist in measuring individual achievement  ...  <p>The rapid advances in information and communication technologies, coupled with increased access to information and the formation of global communities, have resulted in interest among researchers and  ...  Similarly, the accessibility to student learning data from various information systems has also contributed to the use of learning analytics as a tool for measuring impact and informing the strategic decision  ... 
doi:10.19173/irrodl.v15i4.1878 fatcat:xj6koarqjbffthw55ocgfxyl4i

Let's not forget: Learning analytics are about learning

Dragan Gašević, Shane Dawson, George Siemens
2014 TechTrends  
Not only can this type of instrumentation increase the theoretically foundation of the measurement in learning analytics, but this type of measurement provides valuable contributions to educational research  ...  Using the trace data collected by the Blackboard learning management system (LMS) and data from the institutional Student Information System (SIS), Course Signals uses a data-mining algorithm to identify  ... 
doi:10.1007/s11528-014-0822-x fatcat:bzqh5a3xzvexljtnu45pwqnajy

Big Data Analytics Model for the Education Sector

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Various sources of education data provide the necessary input to the model and model produces useful results in the form of the output using various tools and technologies of Big Data ecosystem.  ...  With the new evolving education technology capable of generating Big Data, stakeholders have firmly started adopting the use of Big Data Analytics in the education sector.  ...  University social network can cater to data like posts, messages, comments to the analytics system. Library data can give useful insight into the students' learning process.  ... 
doi:10.35940/ijitee.l2834.1081219 fatcat:fngmvwfqefem7agiczk2blm6ge

Connecting Analytics and Curriculum Design: Process and Outcomes of Building a Tool to Browse Data Relevant to Course Designers

Robert L. Dunbar, Molly J. Dingel, Xavier Prat-Resina
2014 Journal of Learning Analytics  
Understanding the factors related to student retention and success is unlikely to occur by focusing on only one unit at a time.  ...  encouraging faculty to use analytics for course and curricular design.  ...  to acquire and explore data relevant to student learning, development, and retention.  ... 
doi:10.18608/jla.2014.13.26 fatcat:4zc3ntxkyjchvbupqut77e4mpu

Social CRM Analytics Model on Malaysian Institutes of Higher Learning (IHLs)

Azhar Hamid, Raja Mohd Tariqi Raja Lope Ahmad, Suziyanti Majudi, Wan Azlan Wan Hassan, Wan Hassan Basri Wan Ismail, Roziyani Setik, Muhammad Hashim
2018 2018 3rd Technology Innovation Management and Engineering Science International Conference (TIMES-iCON)  
an evidenced-based Learning Analytics (LA) model to employ big data for the benefit of their students, researcher build this novel but practical, step by step framework.  ...  the student learning experience by predictive analytics, to improve learning outcomes for the students and the society.  ...  The Construction and Validation of a Business Intelligence Model to Enhance Learning Analytics in Higher Education Institutes  ... 
doi:10.1109/times-icon.2018.8621834 fatcat:psymn3bznjbsxeryops5nobwvq

A Comprehensive Primer to Library Learning Analytics Practices, Initiatives, and Privacy Issues

Kyle Jones, Kristin Briney, Abigail Goben, Dorothea Salo, Andrew Asher, Michael Perry
2020 College and Research Libraries  
data. 27 A significant majority of 18-to 29-year-olds use social media; the enormous amount of these data may explain the desire to mine them for analytics. 28 Institutions have already monitored student  ...  In this narrative literature review, we provide a foundational background in the field of learning analytics, library adoption of these practices, and identify ethical and practical privacy issues. developments  ...  Analytics Code of Practice http://www.csu.edu.au/__data/assets/ pdf_file/0007/2160484/2016_CSU_ LearningAnalyticsCodePractice.pdf The Open University: Ethical Use of Student Data for Learning Analytics  ... 
doi:10.5860/crl.81.3.570 fatcat:meqizmuvlndqzghxx3mjot3hbi

Higher Education Stakeholders' Views on Learning Analytics Policy Recommendations for Supporting Study Success

Dirk Ifenthaler, Jane Yin-Kim Yau
2019 International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)  
Due to the lack of rigorous learning analytics research and adoption in Germany, this study focusses on the German university context and examines how ready German university stakeholders are to adopt  ...  We derived policy recommendations from an international systematic review of the last five years of learning analytics research.  ...  Acknowledgement The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF, project number 16DHL1038).  ... 
doi:10.3991/ijai.v1i1.10978 fatcat:t2chbpmwkfa5tfqljqtz3etxwa

Let's Talk Learning Analytics: A Framework for Implementation in Relation to Student Retention

Deborah West, David Heath, Henk Huijser
2015 Online Learning  
This paper presents a dialogical tool for the advancement of learning analytics implementation for student retention in Higher Education institutions.  ...  Ultimately, it is envisaged that such a framework might offer institutions an accessible and concise tool to structure and systematize discussion about how learning analytics might be implemented for student  ...  The views expressed in this publication do not necessarily represent those of the Australian Government Office for Learning and Teaching.  ... 
doi:10.24059/olj.v20i2.792 fatcat:kjlv46gnxza25d2ppaf7yn6zl4

Innovation through Community Partnership Mapping and Analytics

Keristiena Dodge, Sachin Pawaskar
2020 Metropolitan Universities  
Foundational is the ability of systematic tracking of partnerships and projects data.  ...  This article will discuss how institutions' research agenda can expand from basic metrics to analyzing leading indicators of partnership success – and how a sophisticated dataset can be ultimately leveraged  ...  experience on the students (e.g. retention, civic engagement, employment).  ... 
doi:10.18060/23787 fatcat:7bkadsdkqndoxhpsvibcahzlgy
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