Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 5 |
Descriptor
Source
Journal of Computer Assisted… | 5 |
Author
Arnseth, H. C. | 1 |
Boticki, I. | 1 |
Cukurova, Mutlu | 1 |
Dabisias, Giacomo | 1 |
Fang, Ting | 1 |
Gao, Ming | 1 |
Jagušt, T. | 1 |
Kahn, Ken | 1 |
Lu, Yu | 1 |
Miao, Rong | 1 |
Ruffaldi, Emanuele | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Reports - Evaluative | 1 |
Education Level
Elementary Education | 2 |
Elementary Secondary Education | 1 |
Grade 7 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Wang, Cixiao; Fang, Ting; Miao, Rong – Journal of Computer Assisted Learning, 2018
In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handheld Devices
Spikol, Daniel; Ruffaldi, Emanuele; Dabisias, Giacomo; Cukurova, Mutlu – Journal of Computer Assisted Learning, 2018
Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…
Descriptors: Student Projects, Active Learning, Teaching Methods, Group Dynamics
Jagušt, T.; Boticki, I.; So, H. -J. – Journal of Computer Assisted Learning, 2018
This study reviews empirical research articles published in the field of technology-enhanced learning in the out-of-class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43…
Descriptors: Elementary School Students, Informal Education, Student Interests, Student Motivation
Arnseth, H. C.; Saljo, R. – Journal of Computer Assisted Learning, 2007
The topic of this article concerns how students make sense of categories of progressive inquiry made available to them through a discussion and inquiry type of software called Future Learning Environments 2 (FLE2). The idea behind tools of this kind is to induce approaches to school-work that build on the metaphor of learning as research. By…
Descriptors: Learning Activities, Educational Practices, Classification, Computer Software