Everything about M-learning
Distance education using mobile device technology
M-learning, or mobile learning, is defined as "learning across multiple contexts, through social and content interactions, using personal electronic devices" It is a form of distance education or technology-enhanced active learning where learners use portable devices such as mobile phones to learn anywhere and anytime. Reviews of 97 studies published between 2014 and 2023 show that well-planned mobile learning can improve engagement, knowledge, and skills at different education levels. The portability that mobile devices provide allows for learning anywhere, hence the term "mobile" in "mobile learning". M-learning devices include computers, MP3 players, mobile phones, and tablets. M-learning can be an important part of informal learning. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: M-learningA 5-minute orientation
- Skim a recent paper: Dictionary learning for integrative, multimodal and scalable single-cell analysisInfluential work since 2022
- Pick up a classic book: PerceptronsThe most-reprinted book on the subject
- Read the landmark paper: Deep learningCited 79,303 times
- Go sideways: Augmented learningA closely related topic
- Go sideways: Information and communications technologyA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Deep learning
Gradient-based learning applied to document recognition
Learning representations by back-propagating errors
Absorptive Capacity: A New Perspective on Learning and Innovation
Human-level control through deep reinforcement learning
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
A Survey on Transfer Learning
Exploration and Exploitation in Organizational Learning
🆕 Influential since 2022
Dictionary learning for integrative, multimodal and scalable single-cell analysis
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Learning to Prompt for Vision-Language Models
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database
📚 Books worth reading
PerceptronsMarvin Minsky, Seymour Papert · 1969
Machine learningStephen Marsland · 2009
A handbook of reflective and experiential learningJennifer A. Moon · 2004
Mechanisms of cognitive developmentJames L. McClelland, Robert S. Siegler · 2001
Biochemistry and human metabolismBurnham Sarle Walker, William C. Boyd · 1952
Understanding by DesignJay McTighe, Grant P. Wiggins · 2001
Active Reading SkillsKathleen T. McWhorter, Brette M Sember · 2004
Images of organizationGareth Morgan · 1986
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Augmented learning Augmented learning is an on-demand learning technique where the environment adapts to the learner. By providing remediation on-demand, learners can gain…
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- Mobile computer-supported collaborative learning Mobile computer-supported collaborative learning may have different meanings depending on the context in which it is applied. Mobile CSCL includes any…
- Mobile-assisted language learning Mobile-assisted language learning (MALL) is language learning that is assisted or enhanced through the use of a handheld mobile device. MALL is a subset…
- E-learning (theory) E-learning theory describes the cognitive science principles of effective multimedia learning using electronic educational technology. In recent applications…