A Study on the Learning Behavior, Learning Style, and Academic Achievement in Mobile Learning of University e-Learning learners

2019 ◽  
Vol 25 (3) ◽  
pp. 431-450
Author(s):  
Hye Lan Roh ◽  
Mina Choi
Keyword(s):  
Academic Achievement ◽  
Learning Style ◽  
Mobile Learning ◽  
Learning Behavior ◽  
E Learning ◽  
Behavior Learning

Design of an Adaptive Mobile Learning Management System

2008 ◽  
pp. 286-301 ◽  
Author(s):  
Hyungsung Park ◽  
Young Kyun Baek ◽  
David Gibson
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Mobile Learning ◽  
Management System ◽  
Learning Management System ◽  
Analysis Tool ◽  
User Interactions ◽  
E Learning ◽  
Adaptive Environment ◽  
Learning Management

This chapter introduces the application of an artificial intelligence technique to a mobile educational device in order to provide a learning management system platform that is adaptive to students’ learning styles. The key concepts of the adaptive mobile learning management system (AM-LMS) platform are outlined and explained. The AM-LMS provides an adaptive environment that continually sets a mobile device’s use of remote learning resources to the needs and requirements of individual learners. The platform identifies a user’s learning style based on an analysis tool provided by Felder & Soloman (2005) and updates the profile as the learner engages with e-learning content. A novel computational mechanism continuously provides interfaces specific to the user’s learning style and supports unique user interactions. The platform’s interfaces include strategies for learning activities, contents, menus, and supporting functions for learning through a mobile device.

scholarly journals Sakai: A Mobile Learning Platform

2019 ◽  
Vol 13 (11) ◽  
pp. 95
Author(s):  
Corrienna Abdul Talib ◽  
Hassan Aliyu ◽  
Adi Maimun Abdul Malik ◽  
Kang Hooi Siang ◽  
Igor Novopashenny ◽  
...  
Keyword(s):  
Learning Style ◽  
Mobile Learning ◽  
Research Methodology ◽  
Quantitative Research ◽  
Thinking Skills ◽  
Mobile Technologies ◽  
Electronic Learning ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms

These days, humans have been witnessing related technological and social development, by means of which mobile technologies and Internet yield global access to information with mobility of knowledge. Mobile learning platforms are designed based on electronic learning (e-learning) and mobility. It is regarded as a useful way to enhance the learning process. Sakai as a mobile learning platform, design intentions are to be adaptable to any educational purposes, within or outside the institution, dependent on the provision of effectiveness in classroom instruction based on the learning style of the students, extensible in the cultivation of thinking skills in the learner, and efficient in communicating and exchanging data among its enrolled classroom members and other online platforms. This study employed a systematic review of related literature to investigate the predominant research methodology adopted by various scholars to assess necessary factors concerning mobile learning platform. Fifteen articles are selected based on established criteria. The findings indicated that most of the researchers used quantitative research methodology in investigating the effectiveness and concern variable of mobile learning. Also find out is that most of the outcome of the studies include, achievement, perception, pedagogy, motivation and mobile learning platform as a form of educational technology.

scholarly journals A Review Based Study on Problem-Solving Ability of School Students in Relation to their Academic Achievement

2019 ◽  
pp. 644-649
Author(s):  
Anuradha Ghatak ◽  
Kavita Mittal
Keyword(s):  
Academic Achievement ◽  
Problem Solving ◽  
Learning Style ◽  
Intellectual Ability ◽  
Positive Relation ◽  
Scientific Attitude ◽  
School Students ◽  
Study Behavior ◽  
Behavior Learning ◽  
The Relationship

Studies were reviewed to find out the relationship between problem-solving ability and academic achievement of school students. It was found that for the last few years, there is a significant positive relation between Problem-Solving Ability and academic achievement of school students. The review of various studies revealed that the problem-solving ability of boys is significantly higher than the girls. The study also concluded that there is a positive correlation between various factors like (personality, study behavior, learning style, scientific attitude, intellectual ability, examination anxiety etc.) and academic achievement.

El aprovechamiento de las comunicaciones móviles en el proceso de enseñanza – aprendizaje para la educación superior

2013 ◽  
Vol 8 (14) ◽  
pp. 41-49
Author(s):  
Fernando Alirio Contreras Sanchez ◽  
Elkin Arturo Betancourt
Keyword(s):  
Mobile Learning ◽  
Educación Superior ◽  
Educacion Superior ◽  
Aprendizaje Virtual ◽  
Aprendizaje Móvil ◽  
E Learning ◽  
La Red

En el actual contexto social, el uso de los dispositivos móviles se ha masificado de tal manera, que su empleo como herramienta de enseñanza y de aprendizaje en entornos académicos es extremadamente útil. Por lo tanto surge el concepto de Mobile Learning (aprendizaje móvil), que ayuda a los docentes a administrar su práctica docente y a los estudiantes a facilitar su aprendizaje a través del uso apropiado de las Tecnologías de Información y las Comunicaciones TIC; de esta forma la realización de un aprendizaje por medios electrónicos (E-Learning) debe ser centralizada en una plataforma de aprendizaje virtual y conectada con un ambiente multiplataforma de dispositivos móviles con interconexión a la red de comunicaciones de la Universidad. La coexistencia de M-Learning versus E-Learning, van a permitir al docente alinearse con los estudiantes en el uso apropiado de las TIC, para producir beneficios en el aprendizaje a distancia, de tal manera que los recursos tecnológicos puedan ser aprovechados y la comunidad académica se apropie de los recursos a través de nuevas interfaces de comunicación móvil como es el propósito de la investigación realizada para la Universidad Antonio Nariño.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

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