Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Learning Analytics | 5 |
| Learning Processes | 5 |
| State Universities | 5 |
| Undergraduate Students | 3 |
| Computer Mediated… | 2 |
| Data Analysis | 2 |
| Foreign Countries | 2 |
| Integrated Learning Systems | 2 |
| Online Courses | 2 |
| Student Attitudes | 2 |
| Teaching Methods | 2 |
| More ▼ | |
Source
| Interactive Learning… | 1 |
| International Educational… | 1 |
| Journal of Learning Analytics | 1 |
| Journal of Research in… | 1 |
| ProQuest LLC | 1 |
Author
| Baker, Ryan S. | 1 |
| Breuer, Kimberly | 1 |
| Chang, Maiga | 1 |
| Chen, Nian-Shing | 1 |
| Crosslin, Matt | 1 |
| Dellinger, Justin T. | 1 |
| Denden, Mouna | 1 |
| Essalmi, Fathi | 1 |
| Faulkner, Margaret | 1 |
| Fudge, Anthea | 1 |
| Iraj, Hamideh | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 4 |
| Journal Articles | 3 |
| Dissertations/Theses -… | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 5 |
| Postsecondary Education | 5 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Big Five Inventory | 1 |
What Works Clearinghouse Rating
Joshua Beemer – ProQuest LLC, 2020
Student success efficacy studies are aimed at assessing instructional practices and learning environments by evaluating the success of and characterizing student subgroups that may benefit from such modalities. We develop an ensemble learning approach to perform these analytics tasks with specific focus on estimating individualized treatment…
Descriptors: Information Retrieval, Data Analysis, State Universities, Learning Analytics
Švábenský, Valdemar; Baker, Ryan S.; Zambrano, Andrés; Zou, Yishan; Slater, Stefan – International Educational Data Mining Society, 2023
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…
Descriptors: Generalization, Computer Mediated Communication, MOOCs, State Universities
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Crosslin, Matt; Breuer, Kimberly; Milikic, Nikola; Dellinger, Justin T. – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: This study explores ongoing research into self-mapped learning pathways that students utilize to move through a course when given two modalities to choose from: one that is instructor-led and one that is student-directed. Design/methodology/approach: Process mining analysis was utilized to examine and cluster clickstream data from an…
Descriptors: Online Courses, History Instruction, Learning Processes, Student Centered Learning
Iraj, Hamideh; Fudge, Anthea; Khan, Huda; Faulkner, Margaret; Pardo, Abelardo; Kovanovic, Vitomir – Journal of Learning Analytics, 2021
One of the major factors affecting student learning is feedback. Although the importance of feedback has been recognized in educational institutions, dramatic changes--such as bigger class sizes and a more diverse student population--challenged the provision of effective feedback. In light of these changes, educators have increasingly been using…
Descriptors: Learner Engagement, Learning Analytics, Feedback (Response), Class Size

Direct link
Peer reviewed
