Publication Date
In 2024 | 0 |
Since 2023 | 0 |
Since 2020 (last 5 years) | 2 |
Since 2015 (last 10 years) | 6 |
Since 2005 (last 20 years) | 7 |
Descriptor
Academic Achievement | 7 |
College Students | 7 |
Data Analysis | 4 |
Foreign Countries | 4 |
Correlation | 3 |
Grades (Scholastic) | 3 |
Learning Analytics | 3 |
Online Courses | 3 |
College Faculty | 2 |
Data Collection | 2 |
Dropouts | 2 |
More ▼ |
Author
Atapattu, Thushari | 1 |
Boroowa, Avinash | 1 |
Brennan, Amelia | 1 |
Carthy, Aiden | 1 |
Chen, George | 1 |
Daucourt, Mia | 1 |
Dvorak, Tomas | 1 |
Falkner, Katrina | 1 |
Ganley, Colleen M. | 1 |
Gray, Geraldine | 1 |
Harrison, Scott | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Information Analyses | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Audience
Location
Australia | 3 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Early Childhood Longitudinal… | 1 |
Mathematics Anxiety Rating… | 1 |
Vandenberg Mental Rotations… | 1 |
What Works Clearinghouse Rating
Harrison, Scott; Villano, Renato; Lynch, Grace; Chen, George – Journal of Learning Analytics, 2021
Early alert systems (EAS) are an important technological tool to help manage and improve student retention. Data spanning 16,091 students over 156 weeks was collected from a regionally based university in Australia to explore various microeconometric approaches that establish links between EAS and student retention outcomes. Controlling for…
Descriptors: Learning Analytics, School Holding Power, Integrated Learning Systems, Microeconomics
Munguia, Pablo; Brennan, Amelia – Journal of Learning Analytics, 2020
No course exists in isolation, so examining student progression through courses within a broader program context is an important step in integrating course-level and program-level analytics. Integration in this manner allows us to see the impact of course-level changes to the program, as well as identify points in the program structure where…
Descriptors: Learning Analytics, Courses, College Programs, Foreign Countries
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
Atapattu, Thushari; Falkner, Katrina – Journal of Learning Analytics, 2018
Lecture videos are amongst the most widely used instructional methods within present Massive Open Online Courses (MOOCs) and other digital educational platforms. As the main form of instruction, student engagement behaviour, including interaction with videos, directly impacts the student success or failure and accordingly, in-video dropouts…
Descriptors: Lecture Method, Video Technology, Online Courses, Mass Instruction
Hart, Sara A.; Daucourt, Mia; Ganley, Colleen M. – Journal of Learning Analytics, 2017
In this study, we explore student achievement in a semester-long flipped Calculus II course, combining various predictor measures related to student attitudes (math anxiety, math confidence, math interest, math importance) and cognitive skills (spatial skills, approximate number system), as well as student engagement with the online system…
Descriptors: Academic Achievement, Calculus, Mathematics Instruction, Educational Technology
Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education