Computers in Human Behavior （CHB） - Volume 47 论文列表
| 点击这里查看 Computers in Human Behavior 的JCR分区、影响因子等信息 |
| 卷期号： Volume 47 |
| 发布时间： June 2015 |
| 卷期年份： 2015 |
| 卷期官网： https://www.sciencedirect.com/journal/computers-in-human-behavior/vol/47/suppl/C |
本期论文列表
Editorial Board / Publication information
Learning analytics for educational decision making
Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach
Discovering usage behaviors and engagement in an Educational Virtual World
Building up eParticipatory decision-making from the local to the global scale. Study case at the European Higher Education Area
Analyzing collaboration and interaction in learning environments to form learner groups
A framework to support educational decision making in mobile learning
Tap into visual analysis of customization of grouping of activities in eLearning
Applying social learning analytics to message boards in online distance learning: A case study
Assessing the suitability of student interactions from Moodle data logs as predictors of cross-curricular competencies
Investigating student motivation in the context of a learning analytics intervention during a summer bridge program
Visualisation of student learning model in serious games
Precise Effectiveness Strategy for analyzing the effectiveness of students with educational resources and activities in MOOCs
Finding student-centered open learning environments on the internet: Automated dialogue assessment in academic virtual communities of practice
Questionnaire for the assessment of factors related to university degree choice in Spanish public system: A psychometric study
ALAS-KA: A learning analytics extension for better understanding the learning process in the Khan Academy platform
Using Learning Analytics to improve teamwork assessment
In search for the most informative data for feedback generation: Learning analytics in a data-rich context
Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory