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Justin Joy; Thangasamy Nambirajan – Management in Education, 2024
A common thread noted in many academic management system implementations was the stagnation and deterioration of their usage after the initial hype. This action research study was aimed at addressing this decline in a higher education institute after undertaking a reflective analysis of the waning usage patterns and taking appropriate initiatives…
Descriptors: Learning Analytics, Learning Management Systems, Foreign Countries, Higher Education
Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
Julia Fuller; Anissa Lokey-Vega – International Journal on E-Learning, 2024
This case study reviews the implementation of a learning analytics (LA) system at a large southeastern university. The LA system uses cloud computing to automate data collection and distribution, providing faculty with insights into student performance and engagement. The system includes weekly alert emails and dashboards offering detailed…
Descriptors: Learning Analytics, Learning Management Systems, Universities, College Faculty
Monbec, Laetitia; Tilakaratna, Namala; Brooke, Mark; Lau, Siew Tiang; Chan, Yah Shih; Wu, Vivien – Assessment & Evaluation in Higher Education, 2021
This paper reports on an interdisciplinary pedagogical research project involving academic literacy experts and lecturers at a School of Nursing. Specifically, the paper focusses on the development of a data-driven analytical rubric to teach and assess critical reflections in year-one nursing. The purpose of the project was to support the teaching…
Descriptors: Interdisciplinary Approach, Nursing Education, Literacy, Academic Language
Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek; Mangafa, Chrysoula – British Journal of Educational Technology, 2019
This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…
Descriptors: Learning Analytics, Teacher Empowerment, Distance Education, College Faculty
Delmas, Peggy M.; Childs, Tracey N. – Innovations in Education and Teaching International, 2021
With increasing financial pressures on colleges and universities, student retention and persistence have become high priorities. Faculty play an important role in student retention, particularly in providing early alerts. Early alert systems (EAS), which are mechanisms that allow faculty and professional staff to notify students and advisors that…
Descriptors: Educational Finance, Academic Persistence, College Faculty, Teacher Role
Maldonado, Monica; Mugglestone, Konrad; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
Data-informed decision-making has always been -- and always will be -- a smart approach to policy, including at institutions of higher education. Just over one year since the COVID-19 pandemic radically and abruptly shifted every aspect of higher education, states and institutions are tackling the same student success goals as before, but with…
Descriptors: Data Analysis, Learning Analytics, Decision Making, Higher Education
Rehrey, George; Shepard, Linda; Hostetter, Carol; Reynolds, Amberly; Groth, Dennis – Journal of Learning Analytics, 2019
To successfully implement Learning Analytics (LA) systems within higher education, we need to engage administrators, faculty, and staff alike. This paper is by and primarily for practitioners. We suggest implementation strategies that consider the human factor in adopting new technologies by analyzing the viability of our Learning Analytics…
Descriptors: Learning Analytics, Change Agents, School Culture, Technology Integration
Nyland, Rob; Croft, Benjamin; Jung, Eulho – Online Learning, 2021
Learning analytics is a recent innovation that holds promise for improving retention in fully online programs. However, only a few case studies exist to show models for and outcomes of the implementation of learning analytics systems. This paper reports on a learning analytics implementation in a fully online, multidisciplinary program designed…
Descriptors: Pilot Projects, Learning Analytics, Intervention, Barriers
Herodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash – Journal of Learning Analytics, 2019
Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…
Descriptors: Prediction, Data Analysis, Higher Education, Distance Education
Thomas G. Calderon, Editor – Advances in Accounting Education: Teaching and Curriculum Innovations, 2019
"Advances in Accounting Education" is a refereed, academic research publication whose purpose is to help meet the needs of faculty members and administrators who are interested in ways to improve teaching, learning and curriculum development in the accounting area at the college and university level. We publish thoughtful, well-developed…
Descriptors: Accounting, Business Administration Education, Gender Differences, Capacity Building