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Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.
Book
Difficulties in defining mobile learning: analysis, design characteristics, and implications
Mobile learning, or m-learning, has become an umbrella term for the integration of mobile computing devices within teaching and learning. In the literature, however, use of the terms has been unsystematic. The purpose of this article is to critically examine the principles of mobile learning. First, I examine the extant literature with regard to defining mobile learning. Four definitions of mobile learning categories are described: (1) relationship to distance education and elearning, (2) exploitation of devices and technologies, (3) mediation with technology, and (4) nomadic nature of learner and learning. Second, in an effort to provide a basis on which to ground future mobile learning research, I propose a framework of design characteristics for mobile learning environments. Seven design characteristics are identified and discussed. Finally, I present implications for future research and instructional design. This paper contributes to the field of mobile learning by providing researchers more precise ways to identify and describe the characteristics of mobile learning environments, as well as describe the attributes of successful mobile learners.
Journal Article
Factors predicting online university students' use of a mobile learning management system (m-LMS)
This study analyzed the relationships among factors predicting online university students' actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness, expectation-confirmation, satisfaction, continuance intention and actual usage of m-LMS. Results showed that perceived ease of use predicted perceived usefulness, but expectation-confirmation was not related to perceived usefulness. Perceived usefulness and expectation-confirmation predicted satisfaction. Perceived usefulness and satisfaction predicted continuance intention, but perceived ease of use was not related to continuance intention. Continuance intention predicted actual usage of m-LMS.
Journal Article
For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool
Mobile devices have become an important tool in higher education. Although mobile devices have several benefits for students, the use of these devices is still very limited among students. This low percentage of usage could be attributed to several reasons, both technical and non-technical. Therefore, there is a need to conduct more research in order to understand the necessary factors that would lead to enhanced student usage, thus achieving sustainable mobile learning. In order to achieve that, our study proposes a model by employing the unified theory of acceptance and use of technology (UTAUT) to investigate the necessary factors that influence intention to use mobile learning among university students. To evaluate the proposed model, structural equation modelling (SEM) was employed to analyze data collected from 612 students. The results indicated that factors, such as device connectivity, device compatibility, device memory, device performance, network coverage, and network speed have a significant and positive influence on students’ intention to use mobile learning. This research provides important recommendations for university decision makers and developers on understanding the necessary factors for adopting mobile learning and reflect the students’ requirements.
Journal Article
Analysis of the essential factors affecting of intention to use of mobile learning applications: A comparison between universities adopters and non-adopters
Although mobile learning systems offer several benefits for students, academic staff and universities, from easily access and learning anywhere and anytime, the use and acceptance of this new technology in Jordan still very low. However, acceptance of mobile learning by students is crucial to the success of mobile learning. The factors that affect the use and user acceptance of mobile learning are still controversial. Thus, this study mainly proposes an integrated model, with the aim of identifying the most influential factors that may encourage or impede students and universities in Jordan in moving towards acceptance and adoption of mobile learning applications. The proposed model was evaluated empirically with 1200 students from both two groups of universities that already used the mobile learning technology and non-adopters universities in Jordan. The model aims to examine the impact of 11 factors on the adoption of mobile learning applications that were categorised based on four fundamental constructs are: (i) technological factors (security, privacy, compatibility, relative advantage and trust), (ii) organizational factors (resistance to change and technology readiness), (iii) cultural factors and (iv) quality factors (quality of system, quality of content and quality of service). The key findings include: (1) resistance to change, security and privacy concerns still limit mobile learning acceptance and adoption in Jordanian universities; (2) some factors like compatibility, technology readiness, and culture were found to have a negative effect on the intention to use of the mobile learning; (3) five factors (relative advantage, trust, quality of system, quality of content and quality of service) were found to have a positive effect on the intention to use of the mobile learning; and (4) our research also found that the effect of these factors differed in universities that already used the mobile learning and non-adopters. Finally, it is expected that the findings of this research can assist university decision makers, mobile learning application providers and the research community in introducing better strategies for encouraging adoption and acceptance of this technology.
Journal Article
Mobile Technology and Generation Z in the English Language Classroom—A Preliminary Study
Every generation of students has different characteristics that reflect the conditions of the time period they were growing in. It is important for educators from all fields of study, especially English language teachers, to understand the generational differences and the learning preferences of students in order to create productive learning environments. In today’s technology driven era, students have different learning needs in comparison with their predecessors. To enhance language learning in the new generation, it is recommended to use mobile technology in class. Mobile devices and applications offer a wide range of activities that support language learning. The aim of this study was to discover if the students using mobile devices in the class got higher scores in tests than the students using traditional methods. The methods included pre- and post-tests, as well as a questionnaire survey. The results of this study reveal that the use of a mobile application had a positive effect on students’ achievement results as far as the vocabulary learning was concerned. The students using the app seemed to retain more words than the students in the control group. Furthermore, the results of the questionnaire showed that using the app was more enjoyable for students than the traditional teaching methods. In addition, it contributed to collaborative learning. However, the results also indicate that being a Generation Z student does not make him/her automatically interested in using mobile applications in the process of language acquisition. Considering the small number of participants, further studies are planned to confirm the results from the current preliminary study.
Journal Article
Development of an Instructional Design Model for Mobile Blended Learning in Higher Education
The development of information and communication technology has brought a surprise and revolutionary challenge to the idea and practice of traditional education. Mobile internet technology has become the main promoter and accelerator to apply the concept of mobile learning. Mobile technology offers new opportunities to integrate face-to-face learning and online learning methods. We see a tendency to use blended learning scenarios by combining various forms of learning and integrating a variety of ways to access content using mobile technology. The objective of this study is to develop a mobile blended learning design that can systematically guide the instructor or lecturer in the lecturing processes. By combining the ideas of mobile learning and blended learning, mobile blended learning design has been developed. Implementing research and development (R&D) method, the mobile blended learning design has been constructed through designing process and validation by experts. This instructional design has feasibility to use in learning; therefore, it effectively increases the popularity of mobile blended learning
Journal Article
Sustainable Teaching and Learning through a Mobile Application: A Case Study
Currently, mobile devices are widely used as a support in education for teaching and learning of multiple academic subjects. An example of this is educational mobile applications, which in recent years have been massively developed and have generated multiple downloads for use in the classroom. Despite their features and benefits, the use of mobile devices such as smartphones is not usually allowed in classrooms due to the distraction they can generate. This paper aims to evidence the use of mobile devices in education and why it should be used as a support in the educational model. To do this, it is proposed to compare two teaching-learning methodologies and identify whether the use of mobile applications can influence the specific education of an engineering subject. The methodologies were tested in the classroom, focusing on IP addressing and network numbering systems, with two groups of students: an experimental group and a control group. At the end of the experiment, their performance was evaluated using a questionnaire. The answers of this questionnaire were subjected to an analysis of variance (ANOVA) and hypotheses were proposed to identify whether the use of a mobile application used as a support in the educational model has benefits in learning. The results indicate that educational mobile applications can be helpful in the teaching-learning process and at present, education can benefit from the use of this innovative learning methodology.
Journal Article
REVOLUTIONIZING EDUCATION: ASSESSING THE IMPACT OF MOBILE LEARNING APPS ON ACADEMIC SUCCESS AND ATTITUDES
This study examines the impact of mobile learning applications on the academic achievement of gifted students and their attitudes toward mobile learning. A quasi-experimental research design was employed. The study population consisted of all gifted eleventh-grade students in the Al-Ahsa region during the first semester of the 2023-2024 academic year. The study sample included 81 gifted male and female students. The experimental group received instruction based on a mobile learning strategy, while the control group participated in traditional classroom settings. Two instruments were developed to evaluate different aspects. The first tool aimed to examine the impact of mobile learning applications on student achievement and was designed based on the course content, while the second tool was a questionnaire to measure participants' attitudes towards mobile learning. The results revealed statistically significant differences between the average academic achievement of gifted students in the experimental group, who learned using mobile learning, and the average achievement of gifted students in the control group, who learned in the usual way. The difference was in favor of the experimental group. Additionally, there were statistically significant differences between the average level of attitudes toward mobile learning (including dimensions such as satisfaction, impact on learning, motivation, and ease of use) among gifted students in the experimental group and the average level of attitudes toward mobile learning among students in the control group. The difference was also in favor of the experimental group. These findings suggest that the integration of mobile learning applications can have a positive impact on the academic achievement of gifted students and their attitudes towards this learning approach. The study highlights the potential of mobile learning technologies to enhance the educational experiences and outcomes of gifted learners.
Journal Article