Design of a Microlecture Mobile Learning System Based on Smartphone and Web Platforms
Bibliographic Data
| ID | 20296181 |
|---|---|
| Authors | Chuanxue Wen (Guangzhou Medical University), Junfei Zhang (0000-0001-9241-9367, Guangzhou Medical University) |
| Year | 2015 |
| Volume | 58 |
| Issue | 3 |
| Pages | 203-207 |
| Publication date | 2015-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Education (JOURNAL) |
| Journal identifiers | ISSN: 0018-9359 • E-ISSN: 1557-9638 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/te.2014.2363627 |
| OpenAlex | W2037537417 |
| Language | EN |
| Citations received | 6 |
| References cited | 12 |
This paper first analyzes the concept and features of microlecture, mobile learning, and ubiquitous learning, then presents the combination of microlecture and mobile learning, to propose a novel way of micro-learning through mobile terminals. Details are presented of a microlecture mobile learning system (MMLS) that can support multiplatforms, including PC terminals and smartphones. The system combines intelligent push, speech recognition, video annotation, Lucene full-text search, clustering analysis, Android development, and other technologies. The platform allows learners to access microlecture videos and other high-quality microlecture resources wherever and whenever they like, in whatever time intervals they have available. Teachers can obtain statistical analysis results of the microlecture in MMLS to provide teaching/learning feedback and an effective communication platform. MMLS promotes the development of microlecture and mobile learning. A statistical analysis of the implementation of the system shows that students using MMLS to assist their learning had improved results on their final exams and gave a higher evaluation of the curriculum than those who did not. The advantages and disadvantages of MMLS are also analyzed
Android (operating system) · Android application · Curriculum · Mobile device · Multimedia · World Wide Web · Artificial Intelligence · Child Development and Digital Technology · Computer Science · Mobile Learning in Education · Multimedia Communication and Technology
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| Citations per year | 0.86 |
|---|---|
| Citation span | 2019 - 2026 (8) |
| Highly cited | No |