Search results for "M-learning"
showing 6 items of 16 documents
Mobile learning for instructional purpose in Nigeria : an exploratory analysis
2013
The main purpose of this research is to explore the use of M - learning for instructional purpose in Nigeria with a view to uncovering the degree to which it is in use in the institutions of learning. The issue was addressed from the view point of students and also from the theoretical point drawn from relevant extant literatures of other students and some learning theories, frameworks as well as relevant literatures were examined. This research is empirical in nature and as such employs a cross sectional approach which involved the use of survey design in collecting data from students of different departments from two highly rated and recognized universities in Nigeria. Finally, the result…
Students’ Perception of Cell Phones Effect on their Academic Performance: A Latvian and a Middle Eastern University Cases
2021
This study is unique in its attempt to combine the Technology Acceptance Model (TAM) with external variables and the Information System Continuance Theory, in the context of mobile learning. It extends TAM with the external variables perceived mobility and perceived enjoyment. Mainly, students’ perception of cell phones effect on their academic performance is investigated. The study was conducted at two different universities—in Europe and the Middle East. Cell phone usage is analyzed from the perspective of mobile learning. The data in this study were collected from 103 students from the University of Latvia and 106 students from a Middle Eastern private American University. This study sho…
Mobilie līdzekļi skolēnu vārdu krājuma paplašināšanai pamatskolas angļu valodas stundās
2018
Viedtālruņu pastāvīgā klātbūtne pamatskolas skolēnu dzīvē un mobilo mācību līdzekļu strauja attīstība ir pamats idejai par to apvienošanu, lai iepazīstinātu skolēnus ar jauniem motivējošiem vārdu krājuma apguves veidiem. Atsevišķa gadījuma pētījums tika veikts Teteles pamatskolā. Kā datu iegūšanas metodes tika izmantotas skolotāju aptaujas, intervijas ar angļu valodas skolotājiem, 57 skolēnu aptaujas (vecumā no 10 līdz 14 gadiem) pirms pētījuma, mobilo līdzekļu praktiskā izmantošana, un pamatskolas vecuma skolēnu aptaujas pēc pētījuma. Izmantojot pētījumā iegūtos datus, Diplomdarba autors sasniedza mērķi izstrādāt vadlīnijas skolotājiem, kuri vēlās izvairīties no jebkādām iespējamām grūtībā…
Context-Aware Adaptive System For M- Learning Personalization
2014
International audience; Context-aware mobile learning is becoming important because of the dynamic and continually changing learning settings in learner's mobile environment, giving rise to many different learning contexts that are difficult to apprehend. To provide personalization of learning content, we aim to develop a recommender system based on semantic modeling of learning contents and learning context. This modeling is complemented by a behavioral part made up of rules and metaheuristics used to optimize the combination of pieces of learning contents according to learner's context. All these elements form a new approach to mobile learning.
SEMANTIC AND CONTEXTUAL APPROACH FOR THE RECOMMENDATION OF LEARNING MODULES IN MOBILITY
2012
International audience; Many researchers argue that mobile learning is just an adaptation of e-learning on mobile technology, but far from a simple extension of e-learning, m-learning raises original issues in technological and pedagogical terms. M-learning is usually based on the consideration of a context rich on information and interactions. The challenge of m-learning is therefore, not simply to transfer on mobile content designed primarily for e-learning. This concept implies that we must rethink the entire process of the learning experience in mobility to maximize its efficiency.
Recommender system for combination of learning elements in mobile environment
2012
5 pages; International audience; The paper presents an ongoing research about the development of a new recommender system dedicated to m-learning. This system is an extension of content based recommender system proposals. It's made of three levels architecture: 1/ a domain model describing the knowledge of teaching, 2/ a user model defining learner's profile and learning's context, 3/ an adaptation model containing rules and metaheuristics, which aims at combining learning modules. Our system takes into account the spatio-temporal context of the learners, the evolution of learner's profile and the dynamic adaptation of modules during the learning process in a mobile environment. The result …