Results 31 to 40 of about 7,562,562 (305)

Big data academic and learning analytics [PDF]

International Journal of Educational Management, 2018
Purpose Although big data analytics (BDA) have great benefits for higher education institutions (HEIs), due to lack of sufficient evidence on how BDA investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The purpose of this paper is to propose a big data academic and learning analytics enabled business value ...
Chaurasia, Sushil S., Kodwani, Devendra, Lachhwani, Hitendra, Ketkar, Manisha Avadhut   +3 more
openaire   +1 more source

Learning Analytics to Determine Profile Dimensions of Students Associated with Their Academic Performance

Applied Sciences, 2022
With the recent advancements of learning analytics techniques, it is possible to build predictive models of student academic performance at an early stage of a course, using student’s self-regulation learning and affective strategies (SRLAS), and their ...
Andres Gonzalez-Nucamendi, Julieta Noguez, Luis Neri, Víctor Robledo-Rella, Rosa María Guadalupe García-Castelán, David Escobar-Castillejos   +5 more
doaj   +1 more source

Use of learning analytics in the flipped classroom: a systematic review

Apertura, 2019
Learning analytics is a method of measuring, collecting, analyzing and reporting large volumes of data on apprentices in their learning contexts. The purpose is to predict the potential educational problems that could arise anticipate effective solutions
Alexandro Escudero-Nahón, Emma Patricia Mercado López   +1 more
doaj   +1 more source

Conflicting Values: An Exploration of the Tensions Between Learning Analytics and Academic Librarianship [PDF]

, 2019
The prevailing rhetoric concerning learning analytics is that its use will support the educational endeavor and make significant improvements to teaching and learning.
Brundin, Michael R., Oliphant, Tami
core   +1 more source

Human-Centred Learning Analytics [PDF]

, 2019
The design of effective learning analytics (LA) extends beyond sound technical and pedagogical principles. If analytics are to be adopted and used successfully to support learning and teaching, their design process needs to take into account a range of ...
Martinez-Maldonado, R, Martinez-Maldonado, Roberto, Buckingham Shum, Simon, Shum, SB, Ferguson, R, Ferguson, Rebecca, Simon Buckingham Shum, Rebecca Ferguson, Roberto Martinez-Maldonado   +8 more
core   +1 more source

Analytics Research and Case Studies in Online Learning

Online Learning, 2016
Introduction
Karen Vignare, Patsy Moskal
doaj   +1 more source

Critical data studies, abstraction and learning analytics: Editorial to Selwyn’s LAK keynote and invited commentaries [PDF]

, 2019
© 2019, UTS ePRESS. All rights reserved. This editorial introduces a special section of the Journal of Learning Analytics, for which Neil Selwyn’s keynote address to LAK ’18 has been written up as an article, “What’s the problem with learning analytics?”
Shum SJB, Simon Buckingham Shum
core   +1 more source

Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand

Applied Sciences
Forecasting spare parts demand is challenging due to its intermittent, sparse, and highly irregular nature. Traditional inventory strategies, based on stable demand patterns, often lead to inefficiencies, including excess inventory and poor service ...
Zdravko Kunić, Vedran Dakić, Aleksandar Radovan, Filip Furko   +3 more
doaj   +1 more source

Academic Analytics na prática: agregar e analisar múltiplas fontes de dados

Revista Portuguesa de Investigação Educacional, 2013
As instituições do ensino superior (IES) utilizam diversos subsistemas tecnológicos para gestão das várias dimensões da vida da organização, que recolhem um imenso volume de dados proveniente desses subsistemas, mas que não comunicam entre si. A ideia do
Sérgio André Ferreira, António Manuel Valente de Andrade   +1 more
doaj   +1 more source

Detecting Academic Misconduct Using Learning Analytics

Journal of Learning Analytics, 2019
Keystroke logging and clickstream data, both emergent areas of study in the field of learning analytics, present promising alternative methods of detecting and preventing contract cheating. The current study examines whether analysis of keystroke and clickstream data can detect when a student is creating their own authentic writing or transcribing from
Kelly Trezise, Tracii Ryan, Paula G. de Barba, Gregor E. Kennedy   +3 more
openaire   +2 more sources