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References (109)
-
(2018)
Learning analytics in higher education institutions in Asia -
Anthony Picciano (2012)
The Evolution of Big Data and Learning Analytics in American Higher EducationJournal of asynchronous learning networks, 16
-
Juan Cruz-Benito, Roberto Therón, F. García-Peñalvo, Cristina Maderuelo, J. Pérez-Blanco, Hinojal Zazo, A. Martín-Suárez (2014)
Monitoring and feedback of learning processes in virtual worlds through analytics architectures: A real case2014 9th Iberian Conference on Information Systems and Technologies (CISTI)
-
H. Drachsler, W. Greller (2012)
The pulse of learning analytics understandings and expectations from the stakeholdersProceedings of the 2nd International Conference on Learning Analytics and Knowledge
-
K. Vogt (2014)
7 ways to use tech to improve college student success -
Denise Whitelock, B. Rienties (2016)
#Design4Learning: Designing for the Future of Higher EducationJournal of interactive media in education, 2016
-
(2009)
Grade Performance Status helps students manage their GPAs -
D. Gašević, S. Dawson, A. Pardo (2016)
How do we start? Sate and directions of learning analyics adoption -
(2017)
Case Study D: Fine-grained analysis of student data at California State University -
Deepak Prasad, Rajneel Totaram, T. Usagawa (2016)
Development of Open Textbooks Learning Analytics SystemThe International Review of Research in Open and Distributed Learning, 17
-
(2017)
Case Study F: Enhancing retention at Edith Cowan University -
S. Nunn, John Avella, Therese Kanai, Mansureh Kebritchi (2016)
Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review., 20
-
M. Grush (2011)
Monitoring the PACE of student learning: Analytics at Rio Salado College -
K. O’Halla, E. Kunnen, D. Anderson, P. Herdegen (2013)
Learning analytics: A journey to implementation -
R. Leece, R. Hale (2009)
Student engagement and retention through e-Motional Intelligence -
D. Gašević, A. Zouaq, Robert Janzen (2013)
“Choose Your Classmates, Your GPA Is at Stake!”American Behavioral Scientist, 57
-
A. Atif, Deborah Richards, A. Bilgin, M. Marrone (2013)
Learning analytics in higher education : a summary of tools and approaches -
P. Ice, S. Diaz, Karen Swan, Melissa Burgess, Mike Sharkey, Jonathan Sherrill, Daniel Huston, H. Okimoto (2012)
The PAR Framework Proof of Concept: Initial Findings from a Multi-Institutional Analysis of Federated Postsecondary DataJournal of asynchronous learning networks, 16
-
J. Bolkan (2012)
Schools test new analytics tool for Blackboard -
(2017)
Case Study K: Peraonalised pathway planning at Open Universities Australia -
Lisette Toetenel, B. Rienties (2016)
Analysing 157 learning designs using learning analytic approaches as a means to evaluate the impact of pedagogical decision makingBr. J. Educ. Technol., 47
-
D. Ifenthaler (2017)
From educational data mining to automated analysis of semantics -
S. Blanton (2012)
DataMASTER: Success and failure on a journey to business intelligence -
P. Barba, G. Kennedy, M. Ainley (2016)
The role of students' motivation and participation in predicting performance in a MOOCJ. Comput. Assist. Learn., 32
-
D. Gašević, S. Dawson, Tim Rogers, D. Gasevic (2016)
Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic successInternet High. Educ., 28
-
L. Taylor, C. Bringley (2017)
Beyond retention: Coordinating a comprehensive student support system -
Collaboration and social networking in higher education
Media Education Research Journal, 21
-
W. Wright (2014)
A little bit about learning analytics -
Miguel González, F. García-Peñalvo, Diego Aguilar, Roberto Therón (2015)
Exploring Software Engineering Subjects by Using Visual Learning Analytics TechniquesIEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 10
-
B. Dodge, John Whitmer, James Frazee (2015)
Improving undergraduate student achievement in large blended courses through data-driven interventionsProceedings of the Fifth International Conference on Learning Analytics And Knowledge
-
G. Wong, Simon Li (2016)
Academic Performance Prediction Using Chance Discovery from Online Discussion Forums2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 1
-
Leah Macfadyen, S. Dawson (2010)
Mining LMS data to develop an "early warning system" for educators: A proof of conceptComput. Educ., 54
-
Analytics4Action evaluation framework: a review of evidence-based learning analytics interventions at the Open University UK
Journal of Interactive Media in Education, 2016
-
Gwo-jen Hwang, Pi-Hsia Hung, N. Chen, Gi‐Zen Liu (2014)
Mindtool-Assisted In-Field Learning (MAIL): An Advanced Ubiquitous Learning Project in TaiwanJ. Educ. Technol. Soc., 17
-
J.P. Campbell (2012)
Obligation of knowing: Ethics of data collection and analytics -
B. Wong (2017)
Learning analytics in higher education: an analysis of case studiesAsian Association of Open Universities Journal, 12
-
M. Huberth, N. Michelotti, T. McKay (2013)
E2Coach: tailoring support for students in introductory STEM courses -
E. Dobozy, J. Dalziel (2016)
Transdisciplinary Pedagogical Templates and Their Potential for Adaptive Reuse.Journal of interactive media in education, 2016
-
S. Iglesías-Pradas, Carmen Ruiz-de-Azcárate, Á. Agudo-Peregrina (2015)
Assessing the suitability of student interactions from Moodle data logs as predictors of cross-curricular competenciesComput. Hum. Behav., 47
-
(2017)
Ball State University – Boosting retention with predictive analytics -
V. Smith, Adam Lange, Daniel Huston (2012)
Predictive Modeling to Forecast Student Outcomes and Drive Effective Interventions in Online Community College CoursesJournal of asynchronous learning networks, 16
-
(2017)
Case Study G. Early Alert at the University of New England -
George Siemens (2013)
Learning AnalyticsAmerican Behavioral Scientist, 57
-
Mike Sharkey (2011)
Academic analytics landscape at the University of PhoenixProceedings of the 1st International Conference on Learning Analytics and Knowledge
-
(2013)
Information about Co-Tutor -
Sabina Sisovic, M. Matetić, Marija Bakaric (2015)
Mining student data to assess the impact of moodle activities and prior knowledge on programming course success -
Hamid Tarmazdi, R. Vivian, Claudia Szabo, K. Falkner, Nickolas Falkner (2015)
Using Learning Analytics to Visualise Computer Science TeamworkProceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education
-
Xu Wang, Miaomiao Wen, C. Rosé (2016)
Towards triggering higher-order thinking behaviors in MOOCsProceedings of the Sixth International Conference on Learning Analytics & Knowledge
-
F. Harvey (2013)
Technology Tools for Developing, Delivering, Updating and Assessing Sustainable High-Quality Academic Programs, 2013
-
P. Long, G. Siemens (2011)
Penetrating the fog: Analytics in learning and education -
M. Star, L. Collette (2010)
GPS: Shaping student success one conversation at a time -
(2013)
Academic evaluation, feedback and intervention system: Connecting assessment to teaching and learning -
X. Ochoa, D. Suthers, K. Verbert, E. Duval (2014)
Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013)J. Learn. Anal., 1
-
Adriana Gewerc-Barujel, Lourdes Montero-Mesa, Manuel Lama-Penín (2014)
Collaboration and Social Networking in Higher Education.Colaboración y redes sociales en la enseñanza universitaria -
L. Taylor, V. McAleese (2017)
Beyond retention: Supporting student success, persistence and completion rates through a technology-based, campus wide, comprehensive student support program -
P. Leitner, Mohammad Khalil, Martin Ebner (2017)
Learning Analytics in Higher Education—A Literature Review -
A. Hill, V. Ruffle (2017)
Blackboard Analytics for Learn @JCU – a proactive approach to the use of data in a dual-pronged approach at James Cook University -
(2012)
Blackboard opens field trial for learning analytics solution -
(2012)
A systems approach: Expanding access and achieving student success through support services at rio salada college -
Samuel Choi, S. Lam, K. Li, B. Wong (2018)
Learning Analytics at Low Cost: At-risk Student Prediction with Clicker Data and Systematic Proactive InterventionsJ. Educ. Technol. Soc., 21
-
Gwo-jen Hwang, Hui-Chun Chu, Chengjiu Yin (2017)
Objectives, methodologies and research issues of learning analyticsInteractive Learning Environments, 25
-
John Fritz (2011)
Classroom walls that talk: Using online course activity data of successful students to raise self-awareness of underperforming peersInternet High. Educ., 14
-
J. Fritz (2010)
Video demo of UMBC’s ‘Check my Activity’ tool for students -
K. Arnold (2010)
Signals: Applying academic analytics -
M. King (2012)
Co-Tutor: a relationship management system to enable staff to monitor students' engagement and provide support to at risk students -
The PAR framework proof of concept: Initial findings from a multi-institutional analysis of federated postsecondary data
Online Learning, 16
-
Á. Blanco, M. Sein-Echaluce, F. García-Peñalvo, Miguel González (2015)
Using Learning Analytics to improve teamwork assessmentComput. Hum. Behav., 47
-
(2017)
Research summary: Logging on to improve achievement -
M. Day, E. Foster (2017)
Case Study I: Predictive analytics at Nottingham Trent University -
Rebecca Barber, Mike Sharkey (2012)
Course correction: using analytics to predict course successProceedings of the 2nd International Conference on Learning Analytics and Knowledge
-
Sandeep Jayaprakash, Erik Moody, E. Lauría, James Regan, Joshua Baron (2014)
Early Alert of Academically At-Risk Students: An Open Source Analytics InitiativeJ. Learn. Anal., 1
-
F. Chacon, D. Spicer, A. Valbuena (2012)
Analytics in support of student retention and success -
C. Colvin, T. Rogers, A. Wade, S. Dawson, D. Gasevic, S.S. Buckingham, K. Nelson, S. Alexander, L. Lockyer, G. Kennedy, L. Corrin, J. Fisher (2015)
Student retention and learning analytics: a snapshot of Australian practices and a framework for advancement -
A.L. Dyckhoff, D. Zielke, M. Bültmann, M.A. Chatti, U. Schroeder (2017)
eLAT: An exploratory learning analytics tool for reflection and iterative improvement of technology enhanced learning -
S. Perry (2012)
Student retention: Learner analytics at Loughborough University -
Karen Mattingly, M. Rice, Z. Berge (2012)
Learning analytics as a tool for closing the assessment loop in higher educationKnowledge Management & E-Learning: An International Journal, 4
-
V. McAleese (2012)
Beyond retention: Using targeted analytics to improve student success -
Yasmin (2013)
Application of the classification tree model in predicting learner dropout behaviour in open and distance learningDistance Education, 34
-
Steven Lonn, Andrew Krumm, R. Waddington, Stephanie Teasley (2012)
Bridging the gap from knowledge to action: putting analytics in the hands of academic advisorsProceedings of the 2nd International Conference on Learning Analytics and Knowledge
-
(2012)
Academic Evaluation, Feedback and Intervention System (AEFIS) Faculty Manual -
Sahil Karkhanis, S. Dumbre (2015)
A Study of Application of Data Mining and Analytics in Education DomainInternational Journal of Computer Applications, 120
-
(2013)
2013 Annual Report: Graduate of Medicine -
B. Rienties, Avinash Boroowa, Simon Cross, C. Kubiak, Kevin Mayles, Sam Murphy (2018)
Open Research Online Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK -
G. Jackson, M. Read (2017)
Connect for success: a proactive student identification and support program -
V. Ruffle (2016)
The planning and implementation of Learning Anlytics at James Cook University -
Vitomir Kovanovíc, Srécko Joksimovíc, D. Gašević, James Owers, Anne-Marie Scott, A. Woodgate (2016)
Profiling MOOC Course Returners: How Does Student Behavior Change Between Two Course Enrollments?Proceedings of the Third (2016) ACM Conference on Learning @ Scale
-
The evolution of big data and learning analytics in american higher education
Online Learning, 16
-
E. Poitras, Laura Naismith, Tenzin Doleck, Susanne Lajoie (2015)
Using Learning Analytics to Identify Medical Student Misconceptions in an Online Virtual Patient Environment., 20
-
A. Dyckhoff, Dennis Zielke, Mareike Bültmann, Mohamed Chatti, U. Schroeder (2012)
Design and Implementation of a Learning Analytics Toolkit for TeachersJ. Educ. Technol. Soc., 15
-
(2015)
The strategies of learning analytics in the practice of teaching innovation in higher education -
T. Bates (2011)
Use of analytics for early intervention with ‘at-risk’ students -
N. Sclater, A. Peasgood, J. Mullan (2016)
Learning analytics in higher education: A review of UK and international practice -
V. Gramoli, M. Charleston, Bryn Jeffries, I. Koprinska, Martin McGrane, Alex Radu, Anastasios Viglas, K. Yacef (2016)
Mining autograding data in computer science educationProceedings of the Australasian Computer Science Week Multiconference
-
Kimberly Arnold, M. Pistilli (2012)
Course signals at Purdue: using learning analytics to increase student successProceedings of the 2nd International Conference on Learning Analytics and Knowledge
-
Z. Papamitsiou, A. Economides (2014)
Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical EvidenceJ. Educ. Technol. Soc., 17
-
S. Niall (2014)
Learning Analytics: the current state of play in UK higher and further education -
B. Dietz-Uhler, J. Hurn (2013)
Using learning analytics to predict (and improve) student success: a faculty perspectiveJournal of Interactive Online Learning, 12
-
S.M. Jayaprakash (2014)
SNAPP (Social Network Analysis & Pedagogical Practices) for Sakai CLE v2.8x & v2.9x -
Carly Robinson, M. Yeomans, J. Reich, Chris Hulleman, Hunter Gehlbach (2016)
Forecasting student achievement in MOOCs with natural language processingProceedings of the Sixth International Conference on Learning Analytics & Knowledge
-
(2016)
Review of studies on learning analysis in education in China -
J. Whitmer, K. Fernandes, W. Allen (2012)
Analytics in progress: Technology use, student characteristics, and student achievement -
I. Guitart, J. Moré, Jordi Duran, J. Conesa, David Bañeres, D. Gañán (2015)
A Semi-automatic System to Detect Relevant Learning Content for Each Subject2015 International Conference on Intelligent Networking and Collaborative Systems
-
R. Kiel (2012)
Learning Analytics – an overview -
K. Li, Hoi Lam, Sylvia Lam (2015)
A Review of Learning Analytics in Educational Research -
Usamah Mat, N. Buniyamin, P. Arsad, R. Kassim (2013)
An overview of using academic analytics to predict and improve students' achievement: A proposed proactive intelligent intervention2013 IEEE 5th Conference on Engineering Education (ICEED)
-
(2015)
Use of analytics in education: A systematic classification -
J. Baron, M. Whatley, J. Schilling, M. McGovern (2013)
Scaling learning analytics across institutions of higher education -
S. Kift (2016)
Transition pedagogy for first year learning success and retention -
R. Forsythe, F. Chacon, D. Spicer, A. Valbuena (2012)
Two case studies of learner analytics in the University System of Maryland
- Publisher
- Emerald Publishing
- Copyright
- © Emerald Publishing Limited
- ISSN
- 1741-5659
- DOI
- 10.1108/itse-12-2017-0065
- Publisher site
- See Article on Publisher Site
Abstract
This paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices.Design/methodology/approachThis research collected literature published in 2011-2016 which reported learning analytics practices from Scopus and Google Scholar, covering a total of 47 institutions, and categorised the information about the relevant institutions and practices.FindingsThe results show that most of the institutions were public ones in the USA and the UK of various sizes and offering different levels of study. The learning analytics practices were mainly institution-wide, apart from a small number focusing on selected courses. The purposes of the practices were mainly to enhance the effectiveness of learning support and administration, followed by facilitating students’ learning progress. The most common types of data collected for the practices were students’ academic behaviours and their background information. Positive outcomes were reported for a majority of the practices, and the most frequent ones being an increase in cost-effectiveness and understanding of students’ learning behaviours. Other outcomes included the improvement of student retention, timely feedback and intervention, support for informed decision-making and the provision of personalised assistance to students.Originality/valueThe results provide an overview of the use of learning analytics in the higher education sector. They also reveal the trends in learning analytics practices, as well as future research directions.
Journal
Interactive Technology and Smart Education – Emerald Publishing
Published: Aug 23, 2018
Keywords: Higher education; Learning analytics; Academic analytics