Access the full text.
Sign up today, get DeepDyve free for 14 days.
Phillip Long, George Siemens (2014)
PENETRARE LA NEBBIA: TECNICHE DI ANALISI PER L'APPRENDIMENTOJournal on Educational Technology, 22
R. Svoboda, Christopher Rozek, J. Hyde, J. Harackiewicz, Mesmin Destin (2016)
Understanding the Relationship Between Parental Education and STEM Course Taking Through Identity-Based and Expectancy-Value Theories of MotivationAERA Open, 2
Paulo Góes (2014)
Editor's comments: design science research in top information systems journalsManagement Information Systems Quarterly, 38
D. Hitchins (2007)
Systems Engineering: A 21st Century Systems Methodology
M. Renger, G. Kolfschoten, G. Vreede (2008)
Challenges in Collaborative Modeling: A Literature Review
P. Long, George Siemens (2014)
Penetrating the fog: analytics in learning and educationTD Tecnologie Didattiche, 22
K. Weick, K. Sutcliffe, David Obstfeld (2005)
Special Issue: Frontiers of Organization Science, Part 1 of 2: Organizing and the Process of SensemakingOrgan. Sci., 16
P. Checkland (1999)
Soft Systems Methodology: a 30-year retrospective
In Lee (2017)
Big data: Dimensions, evolution, impacts, and challengesBusiness Horizons, 60
B. Cope, M. Kalantzis (2016)
Big Data Comes to SchoolAERA Open, 2
M. Fortuna, Raul Ortega, Jordi Bascompte (1954)
The Web of LifeAgronomy Journal
T. Davenport (2014)
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
E. Hippel, Nathan Rosenberg, Richard Nelson, Z. Griliches, Edwin Mansfield, Stan Finkelstein, Nikolaus Franke, Dietmar Harhoff, Joachim Henkel, Cornelius Herstatt, Ralph Katz, G. Krogh, Karim Lakhani, Gary Lilien, Christian Luthje, Pamela Morrison, William Riggs, John Roberts, Stephan Schrader, M. Sonnack, Stefan Thomke (2020)
Democratizing InnovationEncyclopedia of Creativity, Invention, Innovation and Entrepreneurship
Yichuan Wang, Nick Hajli (2017)
Exploring the path to big data analytics success in healthcareJournal of Business Research, 70
Andrew McAfee, Erik Brynjolfsson (2012)
Big data: the management revolution.Harvard business review, 90 10
Samuel Wamba, Shahriar Akter, A. Edwards, Geoffrey Chopin, Denis Gnanzou (2015)
How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case StudyManagement of Innovation eJournal
Selim Erol, Felix Mödritscher, G. Neumann (2010)
A Meta-Design Approach for Collabora- tive Process Modeling
D. Blockley (2010)
The importance of being processCivil Engineering and Environmental Systems, 27
T. Davenport (2014)
big data @ work
J. Campbell, Peter DeBlois, Diana Oblinger (2007)
Academic Analytics: A New Tool for a New Era.Educational Review, 42
Sushil Chaurasia, D. Kodwani, Hitendra Lachhwani, M. Ketkar (2018)
Big data academic and learning analyticsInternational Journal of Educational Management
Diana Wright, D. Meadows (2012)
Thinking in systems: a primer
G. Fischer, D. Fogli, A. Piccinno (2017)
Revisiting and Broadening the Meta-Design Framework for End-User Development
P. Williams (2017)
Assessing collaborative learning: big data, analytics and university futuresAssessment & Evaluation in Higher Education, 42
B. Daniel (2015)
Big Data and analytics in higher education: Opportunities and challengesBr. J. Educ. Technol., 46
D. Blockley (1999)
PROCESS MODELLING FROM REFLECTIVE PRACTICE FOR ENGINEERING QUALITYCivil Engineering and Environmental Systems, 16
G. Fischer, Elisa Giaccardi, Yunwen Ye, Alistair Sutcliffe, Nikolay Mehandjiev (2004)
Meta-designCommunications of the ACM, 47
K. Pincus, David Stout, J. Sorensen, K. Stocks, R. Lawson (2017)
Forces for change in higher education and implications for the accounting academyJournal of Accounting Education, 40
[There are several big data related technologies to support High Education Institutions in the monitoring and analysis of their data generated by course events, educators, leaners, and staff team. However, research related to big data has been majorly concentrated on the technical side, rather than the managerial, strategic, and sociotechnical understandings. Big data for educational management has features that dare technological determinism in order to contribute to situation awareness and decision support approaches. This work is about System Thinking and Meta-design to support the management process of the use of Big Data for Educational Management. It is an approach that considers the people presence, adding value to the management processes, offering an answer to deal with the complexity in these sociotechnical systems.]
Published: May 9, 2020
Keywords: Academic Analytics; Systems Thinking; Meta-design; Sociotechnical systems
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.