Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Behavior Patterns | 2 |
Learning Processes | 2 |
Student Behavior | 2 |
Visualization | 2 |
Alignment (Education) | 1 |
Case Studies | 1 |
Cognitive Ability | 1 |
College Freshmen | 1 |
Data | 1 |
Data Analysis | 1 |
Data Collection | 1 |
More ▼ |
Source
Technology, Knowledge and… | 2 |
Author
Kang, Jina | 2 |
Liu, Min | 2 |
Corliss, Stephanie | 1 |
Lee, Hyeyeon | 1 |
Lee, Jaejin | 1 |
Liu, Sa | 1 |
Pan, Zilong | 1 |
Zou, Wenting | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Liu, Min; Lee, Jaejin; Kang, Jina; Liu, Sa – Technology, Knowledge and Learning, 2016
Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our…
Descriptors: Case Studies, Student Behavior, Behavior Patterns, Games
Liu, Min; Kang, Jina; Zou, Wenting; Lee, Hyeyeon; Pan, Zilong; Corliss, Stephanie – Technology, Knowledge and Learning, 2017
There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…
Descriptors: College Freshmen, Pharmaceutical Education, Individualized Instruction, Data