Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Predictor Variables | 5 |
Psychological Patterns | 5 |
Foreign Countries | 3 |
Computer Simulation | 2 |
Play | 2 |
Accuracy | 1 |
Achievement | 1 |
Age Differences | 1 |
Attention Control | 1 |
Attribution Theory | 1 |
Behavior Patterns | 1 |
More ▼ |
Source
Interactive Learning… | 5 |
Author
Ahmad, Faizan | 1 |
Ahmed, Zeeshan | 1 |
Amani, Masoumeh | 1 |
Ashrafi, Amir | 1 |
Haotian Ma | 1 |
Jhen-Ni Ye | 1 |
Jian-Hong Ye | 1 |
Jon-Chao Hong | 1 |
Lajoie, Susanne P. | 1 |
Li, Shan | 1 |
Ling-Wen Kung | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Elementary Education | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
China | 1 |
Iran (Tehran) | 1 |
Taiwan (Taipei) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lajoie, Susanne P.; Li, Shan; Zheng, Juan – Interactive Learning Environments, 2023
Monitoring one's learning activities is a key component of self-regulated learning (SRL) leading to successful learning and performance outcomes across settings. Achievement emotions also play an important part in SRL and consequently student learning outcomes. However, there is little research on how specific types of monitoring (i.e.…
Descriptors: Medical Students, Metacognition, Medical Evaluation, Evaluative Thinking
Ahmad, Faizan; Zongwei, Luo; Ahmed, Zeeshan; Muneeb, Sara – Interactive Learning Environments, 2023
An insight regarding few of the experiences during video games playing activity is still fuzzy. This paper presents an extensive empirical study that analyzes the experiences of 100 participants (i.e. 25 children, younger adults, older adults, and elders each) during brain games play. This concludes a number of significant correlations among the…
Descriptors: Children, Young Adults, Older Adults, Experience
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational Technology