Is Learning as Effective When Studying Using a Mobile Device Compared to Other Methods?

2009 ◽  
pp. 218-233
Author(s):  
Christine Armatas ◽  
Anthony Saliba
Keyword(s):  
Learning Styles ◽  
Learning Outcomes ◽  
Learning Environments ◽  
Mobile Phones ◽  
Mobile Technologies ◽  
Delivery Methods ◽  
Print Material ◽  
E Learning ◽  
Lecture Format ◽  
Smart Mobile

A concern with E-Learning environments is whether students achieve superior or equivalent learning outcomes to those obtained through traditional methods. In this chapter the authors present the results of a research study comparing students’ learning outcomes with four different delivery methods - printed study material, lecture format, computers and “smart” mobile phones. The results of our study show that learning outcomes are similar when students study by using a computer, mobile phone, or lecture format, while studying with print material yields slightly superior test results. These findings are discussed in the context of the type of learning used in the study and the factors that impact on the effectiveness of using mobile phones for learning purposes, such as learning styles and attitudes to computers. The authors conclude the chapter by briefly discussing developments in mobile technologies and the opportunities they present for mobile learning.

scholarly journals PENGARUH MOTIVASI BELAJAR, GAYA BELAJAR, DAN LINGKUNGAN BELAJAR PADA HASIL BELAJAR EKONOMI DI SMA NEGERI 1 WRINGINANOM GRESIK

2017 ◽  
Vol 2 (2) ◽  
pp. 142
Author(s):  
Muhammad Miftah Farid
Keyword(s):  
Linear Regression ◽  
Learning Environment ◽  
Learning Styles ◽  
Learning Outcomes ◽  
Learning Environments ◽  
Learning Style ◽  
Total Sample ◽  
Learning Motivation ◽  
Analysis Method ◽  
Regression Techniques

This study aims to analyze the influence of learning motivation, learning styles and learning environments on learning outcomes economy partially or simultaneously. The population in this study is IPS students a total of 314 people and a total sample of 153 students in SMA Negeri 1 Wringinanom Gresik. The data collection techniques used were questionnaires and documentation. Analysis method using multiple linear regression techniques. The results showed that the learning motivation, learning style and learning environment partially positive significant effect on learning outcomes. Learning motivation, learning style and the learning environment simultaneously positive significant effect on learning outcomes

The Cultural Adaptation of E-Learning

2011 ◽  
pp. 308-325 ◽  
Author(s):  
Andrea L. Edmundson
Keyword(s):  
Instructional Design ◽  
Learning Styles ◽  
Learning Outcomes ◽  
Cultural Analysis ◽  
Instructional Designer ◽  
Course Content ◽  
Instructional Methodologies ◽  
Cultural Preferences ◽  
E Learning ◽  
Design Skills

Culturally appropriate instructional design requires the integration of instructional design skills with intercultural knowledge. In e-learning, as in classroom-based courses, courses that accommodate the learning styles and cultural preferences of the targeted learners will offer the best—and fastest—learning outcomes. In this chapter, the author illustrates how to modify an existing e-learning course—or design one ‘from scratch’—that aligns the course content, the instructional methodologies (including activities and assessments) and the technology to the needs and environment of learners in other countries. The ‘smart’ instructional designer conducts a cultural analysis and makes validated changes to e-learning courses, before they are sent for translation, localization, or final production.

scholarly journals A hybrid approach for supporting adaptivity in e-learning environments

2016 ◽  
Vol 33 (5) ◽  
pp. 333-348 ◽  
Author(s):  
Mohammad Al-Omari ◽  
Jenny Carter ◽  
Francisco Chiclana
Keyword(s):  
Learning Styles ◽  
Learning Environments ◽  
Intelligent Agents ◽  
Management System ◽  
Learning Management System ◽  
Hybrid Approach ◽  
Content Type ◽  
E Learning ◽  
Learning Management ◽  
System Prototype

Purpose The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the event-condition-action (ECA) model and intelligent agents. Moreover, a system prototype is developed reflecting the hybrid approach to supporting adaptivity in any given learning management system based on learners’ learning styles. Design/methodology/approach This paper offers a brief review of current frameworks and systems to support adaptivity in e-learning environments. A framework to support adaptivity is designed and discussed, reflecting the hybrid approach in detail. A system prototype is developed incorporating different adaptive features based on the Felder-Silverman learning styles model. Finally, the prototype is implemented in Moodle. Findings The system prototype supports real-time adaptivity in any given learning management system based on learners’ learning styles. It can deal with any type of content provided by course designers and instructors in the learning management system. Moreover, it can support adaptivity at both course and learner levels. Originality/value To the best of the authors’ knowledge, no previous work has been done incorporating the concept of the ECA model and intelligent agents as hybrid architecture to support adaptivity in e-learning environments. The system prototype has wider applicability and can be adapted to support different types of adaptivity.

scholarly journals MUUX-E, a framework of criteria for evaluating the usability, user experience and educational features of m-learning environments

2015 ◽  
Vol 56 ◽  
Author(s):  
Patricia-Ann Harpur ◽  
Ruth De Villiers
Keyword(s):  
Learning Environments ◽  
User Experience ◽  
Mobile Phones ◽  
Mobile Application ◽  
Internet Access ◽  
Mobile Technologies ◽  
Extensive Literature ◽  
Research Paradigm ◽  
Education Students ◽  
Design Based Research

Higher education students use mobile phones, equipped for Internet access. Mobile technologies can offer effective, satisfying and accessible m-learning experiences. A contribution has been made to knowledge on evaluating m-learning environments and to mobile human-computer interaction (MHCI), with the innovative synthesis of the MUUX-E Framework, which fills a gap in the domain of m-learning. MUUX-E is a single comprehensive, multi-faceted instrument for evaluating m-learning environments, emphasising usability and user experience in mobile educational contexts. It was developed by extensive literature studies on each aspect, and has five categories, 31 criteria and numerous sub-criteria. Using a design-based research paradigm, MUUX-E was applied iteratively to evaluate and enhance successive versions of m-LR, a mobile application created for a Software Engineering module. Participants were students and expert evaluators. MUUX-E served well to identify problems and strengths. The students were more positive than the experts regarding the benefits of m-LR, yet insightfully reported more system problems.

Toward Efective Instruction in E-Learning Environments

2011 ◽  
pp. 173-190
Author(s):  
Martha A. Gabriel
Keyword(s):  
Effective Teaching ◽  
Learning Outcomes ◽  
Learning Environments ◽  
Teaching Approach ◽  
Good Teaching ◽  
E Learning

This chapter explores the role of instructors and the perspectives they bring to teaching in e-learning environments. It suggests that when instructors are developing e-learning courses, instruction is more effective if individual perspectives on teaching, as well as the principles of good teaching, are taken into consideration. Congruence between principles, perspectives, and practice enhance e-learning pedagogy. The model—reflect on the teaching approach, apply the principles of good teaching throughout the course, choose appropriate learning outcomes and activities, and review choices—is proposed as a guideline for effective teaching in e-learning environments.

E-Learning and Management Education at African Universities

2017 ◽  
pp. 181-201 ◽  
Author(s):  
Vannie Naidoo
Keyword(s):  
Learning Environments ◽  
Mobile Phones ◽  
New Technologies ◽  
Management Education ◽  
Interactive Whiteboards ◽  
Learning Activity ◽  
Digital Cameras ◽  
Classroom Dynamics ◽  
E Learning ◽  
E Mail

Technology has bridged all areas in society from government, corporate, society and education. Technology has changed the classroom dynamics in higher education institutions. Management education attracts the most elite students into our programs. These students join the faculty so that they can acquire qualifications and skills and one day join the business, entrepreneurship or corporate world. The new technologies are teaching tools that can be used to assist academics to enhance their teaching in the classroom. Some of these technologies are: desktop and laptop computers; notepads, Software; including assistive software; interactive whiteboards; digital cameras; mobile and wireless tools, including mobile phones; Electronic communication tools, including e-mail, discussion; Virtual learning Environments and Learning activity management systems e.g. E-Learning. Management educators should embrace technology in their curriculum and program offerings.

Cognitive Styles, Metacognition and the Design of E-Learning Environments

2003 ◽  
pp. 225-240
Author(s):  
Ray Webster
Keyword(s):  
Learning Styles ◽  
Learning Environments ◽  
Cognitive Styles ◽  
Metacognitive Awareness ◽  
Metacognitive Skills ◽  
Design And Development ◽  
Student Centered ◽  
Student Centered Learning ◽  
E Learning ◽  
The Individual

This chapter considers the use of cognitive styles and metacognitive skills in the design and development of e-learning environments. Participants involved in a unit in Human Computer Interaction used the results of a Riding’s Cognitive Styles Analysis to assist in the design and development of Web-based Individual Learning Environments (ILEs). Student reflections and cognitive styles results are considered in terms of their impact on the design process. They are also used to consider participants’ metacognitive awareness of their own cognitive and learning styles. It is suggested that the use of cognitive styles in this manner will produce interfaces and environments more suited to the learning requirements of each individual. In addition, the process of reflecting on and using the style results will help develop more metacognitively aware learners. The individual environment and metacognitive awareness are both desirable elements for a student-centered learning system for successfully participating in virtual education.

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