Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Data Processing | 3 |
| Data Use | 3 |
| Learning Analytics | 2 |
| Universities | 2 |
| Academic Achievement | 1 |
| Assessment Literacy | 1 |
| Business Administration… | 1 |
| College Students | 1 |
| Computation | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| More ▼ | |
Author
| Eleje, Lydia Ijeoma | 1 |
| Esomonu, Martins Ndibem | 1 |
| Esomonu, Nkechi Patricia-Mary | 1 |
| Snyder, Johnny | 1 |
| Varun Mandalapu | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Dissertations/Theses -… | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Secondary Education | 1 |
Audience
Location
| Maryland (Baltimore) | 1 |
| Nigeria | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Esomonu, Nkechi Patricia-Mary; Esomonu, Martins Ndibem; Eleje, Lydia Ijeoma – International Journal of Evaluation and Research in Education, 2020
As a result of increasing complexity of assessing all aspects of human behaviours, a lot of data are generated on individual learner and from teachers and the system. What qualifies as big data in assessment in Nigeria? This research identifies the sources of assessment big data in Nigeria, investigates how the big data are generated and…
Descriptors: Foreign Countries, Expertise, Learning Analytics, Student Evaluation
Snyder, Johnny – Information Systems Education Journal, 2019
Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…
Descriptors: Data Analysis, Error Patterns, Data Collection, Spreadsheets
Varun Mandalapu – ProQuest LLC, 2021
Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…
Descriptors: Models, Student Behavior, Learning Management Systems, Data Use

Peer reviewed
Direct link
