Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
Curriculum analytics in higher education institutions: a systematic literature review
With technological advances, institutional stakeholders are considering evidence-based
developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on …
developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on …
Lessons learned from designing a curriculum analytics tool for improving student learning and program quality
Curriculum Analytics (CA) emerged as a sub-field of Learning Analytics, aiming to use large
amounts of educational data to drive curriculum decision-making and program improvement …
amounts of educational data to drive curriculum decision-making and program improvement …
Curriculum Analytics of Course Choices: Links with Academic Performance.
In a higher education context, students are expected to take charge of their learning by
deciding" what" to learn and" how" to learn. While the learning analytics (LA) community has …
deciding" what" to learn and" how" to learn. While the learning analytics (LA) community has …
Academic trajectories analysis with a life-course approach: A case study in medical students
D Canales Sánchez, T Bautista Godínez… - Cogent …, 2022 - Taylor & Francis
Graduation rates and students' academic trajectories can be used to determine universities'
performance and their response to curricular change. Longitudinal follow-up of students' …
performance and their response to curricular change. Longitudinal follow-up of students' …
Building institutional capacity for learning analytics: Top-down & bottom-up initiatives
Capacity building for Learning Analytics (LA) in Higher Education Institutions requires the
coordination of organizational aspects and infrastructure development. This also depends …
coordination of organizational aspects and infrastructure development. This also depends …
Proposal of a multivariate analysis model to evaluate the learning outcomes of students in higher education
Accreditation agencies request evidence of the graduates learning outcomes during quality
processes. Universities have to provide exhaustive empirical proof of their achievement and …
processes. Universities have to provide exhaustive empirical proof of their achievement and …
Develo** temporal machine learning approaches to support modeling, explaining, and sensemaking of academic success and risk of undergraduate students
N Nur - 2021 - search.proquest.com
The main goal of learning analytics and early detection systems is to extract knowledge from
student data to understand students' trends of activities towards success and risk and design …
student data to understand students' trends of activities towards success and risk and design …
Facing the change beyond COVID-19: Continuous curriculum improvement in higher education using learning analytics
In the recent years, higher education institutions have accumulated large amounts of
educational data due to students' interaction with online learning environments and …
educational data due to students' interaction with online learning environments and …
Navigating Academia–Recommender Systems for Module Exploration
N Hagemann - 2022 - researchrepository.ucd.ie
Personalised recommendations feature prominently in many aspects of our lives, from the
movies we watch to the news we read and even the people we date. However, one area that …
movies we watch to the news we read and even the people we date. However, one area that …