Mobile Learning Platform Research Articles

Challenges and Opportunities of Implementing Education Technology in Rural and Underserved Areas of Tanzania, Assessing the Sustainability and Educational Impact of Such Initiatives

Purpose: The aim of the study was to analyze the challenges and opportunities of implementing education technology in rural and underserved areas of Tanzania, assessing the sustainability and educational impact of such initiatives. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The implementation of education technology in rural and underserved areas of Tanzania presents both challenges and opportunities. Key challenges include limited access to reliable electricity and internet connectivity, a lack of digital literacy among teachers and students, and insufficient infrastructure and resources to support tech-based learning. Unique Contribution to Theory, Practice and Policy: Diffusion of innovation theory, unified theory of acceptance and use of technology (UTAUT) & socio-constructivist learning theory may be used to anchor future studies on the challenges and opportunities of implementing education technology in rural and underserved areas of Tanzania, assessing the sustainability and educational impact of such initiatives. Teachers should receive ongoing, hands-on training to integrate digital tools into their pedagogy, which would enhance both teaching effectiveness and student engagement. Policies should incentivize telecommunication companies to offer affordable data packages for educational purposes and extend mobile learning platforms to areas with limited connectivity.

An invisible knife to add to your toolkit: a narrative review of how podcasts have audibly shaped, styled, and sharpened surgical education.

Podcasts as a mobile learning platform to augment surgical expertise and dialogue have been embraced by many surgical educators and learners. Podcasts are digital audio files that can be streamed or downloaded from the internet to individual devices. Surgical podcast literature was appraised with a search using the keywords 'surgery' AND 'podcast' in the PubMed database which found 639 results with titles and abstracts screened to identify and review 28 relevant articles. This narrative review explores podcast origins, aims, structure and availability for diverse surgical audiences. It also appraises quality, strengths and limitations, highlighting optimal surgical podcast features. Finally, it proposes how to better implement podcasts into surgical training and clinical practice.

Enhanced FMEA Methodology for Evaluating Mobile Learning Platforms Using Grey Relational Analysis and Fuzzy AHP

This study addresses a significant problem: it is difficult to choose a suitable mobile learning platform effectively since many learning platforms are readily available for users. For this purpose, the study proposes an efficient way to rank and choose the most suitable mobile learning platform by integrating risk analysis and multi-criteria decision-making methods. The selection of a suitable mobile learning platform is challenging due to the vast collection of available platforms. Traditional decision-making approaches often struggle to manage the inherent uncertainty and subjectivity in platform evaluation. To address this, we propose an enhanced methodology that combines grey relational analysis (GRA) and fuzzy analytic hierarchy process (FAHP), leveraging their complementary strengths to provide a robust and adaptive solution. The study employs ISO/IEC 9126 software quality standards to locate the most suitable mobile learning platform. FMEA is based on three risk factors: occurrence, severity, and detection. The fuzzy analytical hierarchy process (FAHP) is used to determine the relative weight of each risk factor to identify the grey risk priority number that can be calculated for each criterion. Mobile learning platforms are then ranked based on their grey risk priority number. The method was applied to five widely used mobile learning platforms with three decision-makers. In addition, the multi-criteria decision-making software was developed to aid users, educators, and administrators in their decision-making processes. The integrated FMEA-GRA-FAHP technique, using ISO/IEC 9126 standards, provides an effective way of locating the most suitable mobile learning platform and ranking them according to their reliability. This research is believed to be the only study applying an integrated FMEA-GRA-FAHP approach to evaluate the risks and quality of mobile learning platforms. The unique approach overcomes certain limitations of the standalone methods such as FMEA and FAHP, making it a valuable tool for identifying the suitability of mobile learning platforms. In addition, the study underscores the importance of inclusivity and equity in ensuring high-quality education and creating an environment conducive to lifelong learning for all.

AI Solutions for Accessible Education in Underserved Communities

This paper explores the application of artificial intelligence technology in the field of education, particularly how it can help bridge educational gaps in remote and underserved communities through scalable and accessible learning solutions. The aim of the study is to enhance educational equity and provide personalized learning experiences by utilizing AI technologies such as adaptive learning systems, language processing technologies, and data analytics. The paper analyzes these tools and discusses how they integrate with practical cases like mobile learning platforms, cloud infrastructure, open resources, and collaborative learning to massively distribute educational resources and address global educational inequalities. The research methods include case studies and data analysis, with results indicating that these technologies significantly improve learning efficiency and engagement among students in remote areas. Ultimately, the paper demonstrates the potential of artificial intelligence in promoting global educational equity and offers suggestions for the future development of educational technology. This work is of significant importance to the field of educational technology, providing innovative perspectives and practical solutions for addressing disparities in educational resources.

A Study to Assess the Effectiveness of Safe Delivery Application for Nursing Students in a Selected College of Nursing in Indore

The Safe Delivery App (SDA offers a mobile learning platform that delivers evidence-based knowledge and skills in Basic Emergency Obstetric and Neonatal Care (BEmONC) efficiently. The main aim of the research to give knowledge regarding new technology way to study the research is based on the quantitative descriptive research among the 100 students . Using the SDA, 40% of nursing students demonstrated good knowledge, while 60% had average knowledge. The calculated 'z' value exceeded the critical value, confirming the effectiveness of the application in enhancing knowledge among the students.

Behavioral Involvement, Technology Acceptance, and Failure in Mobile Learning: A Systematic Review

As we move further into the digital age, machine learning algorithms have become increasingly popular in E-learning for their ability to predict learner failure and assess behavioral engagement, particularly in mobile learning environments. This paper reports on the systematic review conducted by the most relevant research in the literature that uses machine learning algorithms to predict failure, verify acceptance of mobile technology, and analyze behavioral engagement in mobile learning platforms. The search was performed using research papers extracted from four commonly used databases and published between 2010 and 2023; the last database access was on 15/05/2023. Guided by the PRISMA checklist, the review followed a structured approach to select, analyze, and report relevant studies. Studies were selected based on strict inclusion and exclusion criteria, focusing on peer-reviewed articles that empirically test the application of machine learning in mobile learning contexts. Of the initial 332 screened articles, 20 were eligible for inclusion. The results highlight the transformative role that machine learning is playing in revolutionizing online mobile learning experiences.

СИСТЕМНИЙ АНАЛІЗ ОСВІТНІХ ІНСТРУМЕНТІВ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ЛЮДЕЙ З ІНВАЛІДНІСТЮ: ДОСВІД ІНДІЇ

Artificial Intelligence (AI) plays a multifaceted role in educating impaired people and has significantly enhanced the learning experience of disabled students. AI is emerging as an influential tool that enhances accessibility, personalizes the learning process, and promotes inclusivity in educating students with disabilities. For visually disabled students, AI-powered braille devices help the children learn and rehearse braille independently. AI can be incorporated into mobile applications and learning platforms invented to help dyslexic students in India. These apps provide many features to make learning fun for learners with disabilities. The Notebook platform utilizes Machine Learning algorithms that provide students with a personalized learning experience. AACDD makes the process of learning easy for children suffering from neuro-developmental disorders. Augmenta11y app utilizes AR (Augmented Reality) to display the content in a form that dyslexic children can easily understand. DYSXA app provides many features for making learning fun for learners with disabilities. Using automation and the latest technologies, Stamurai provides speech therapy to such people at a meager cost. The authors have analyzed and discussed more AI tools developed to help disabled students with education. With the use of these tools, children with disabilities can communicate better, receive an inclusive education, be more accessible, be mentally prepared, and lead independent lives. These tools have shown promising potential in supporting children with disability. It is observed that AI holds much potential to strengthen the learning experiences of disabled students by providing them with personalized support and alleviating the difficulties they face in reading, writing, and learning a language with accuracy.

Enhancing Educational Design Capabilities through Interactive Mobile and Adaptive Learning Platforms: An Empirical Study

With the continuous advancement of educational technology, interactive mobile and adaptive learning platforms are playing an increasingly important role in the field of education. This is particularly evident in the development of educational design skills among education students, as these platforms showcase their unique value. Educational design capability is a crucial skill for education students, directly related to the quality of designing and implementing future teaching activities. Traditional methods of education often fail to fully consider individual student differences, resulting in inadequate cultivation of personalized capabilities. This study aims to explore and achieve precise cultivation of educational design capabilities in education students through interactive, mobile, and adaptive learning platforms. This paper first reviews the current application of interactive mobile and adaptive learning platforms to cultivate educational design capabilities. It highlights deficiencies in existing research methods related to personalized matching and recommendation system design. To address these deficiencies, this study proposes a new set of adaptive matching methods. These methods include capability characteristic recognition based on competitive advantage thinking, the construction of individual strength models, as well as matching calculation, and decision- making scheme optimization using the projection decision method and the Hungarian method. Additionally, the study designs a learning project recommendation algorithm based on explicit ratings to enhance the accuracy and personalization of learning project recommendations. The application of these methods not only enhances the educational design capabilities of education students but also provides new theoretical support and practical guidance for the development of interactive, mobile, and adaptive learning platforms.

Mobile learning platform for undergraduate medical students: a hands-on approach to infectious diseases education

Mobile learning platform for undergraduate medical students: a hands-on approach to infectious diseases education

Improve speaking skills with Duolingo’s mobile game-based language learning

The purpose of this research is to evaluate the effectiveness of Duolingo's game-based methodology in improving speaking proficiency within mobile language learning, while also examining the specific attributes and strategies contributing to its success and exploring implications for language education and learner optimization. Given the growing prevalence of mobile language learning platforms, the research meticulously scrutinizes the specific attributes and strategies employed by Duolingo that contribute to the refinement of oral fluency. This study employs a mixed methods design, integrating phenomenological and experimental approaches through a pre, post and attainment speaking tests with a control group design supported with metaphorical perceptions. The findings underscore the pivotal role of assimilating technological advancements and gamified pedagogical approaches within language education to expedite effective intercultural communication across multifarious linguistic landscapes. Furthermore, the results emphasize the importance of continuously adapting language learning methodologies to leverage emerging technologies and gamification strategies in order to foster effective communication skills in diverse linguistic contexts. The implications for prospective inquiries advocate for longitudinal investigations delving into the enduring implications of mobile game-based language learning on comprehensive linguistic acquisition, necessitating comparative inquiries to ascertain the comparative efficacy of diverse mobile applications in fostering distinct language proficiencies. Additionally, probing the influence of individual learner attributes and predilections in optimizing the utilization of mobile language learning applications could yield valuable insights for tailoring language acquisition paradigms.

Analysis of the Impact of Personalized Learning Paths in Mobile Learning Platforms on the Development of Self-Directed Learning Strategies Among Brazilian College Students

This paper investigates the impact of personalized mobile learning (m-learning) platforms on the development of self-directed learning (SDL) strategies among Brazilian college students. Employing a mixed-methods research design, the study combines quantitative surveys with qualitative interviews to explore how personalized learning paths influence SDL skills such as goal-setting, time management, and reflective practice. The quantitative analysis reveals a significant positive correlation between the degree of personalization in m-learning experiences and enhancements in SDL competencies. Qualitative insights further elucidate students’ perceptions of personalized m-learning, highlighting increased motivation, engagement, and a sense of ownership over their learning processes. The research also delves into the challenges and opportunities presented by the Brazilian educational context, including infrastructural limitations and the digital divide. The findings underscore the potential of personalized m-learning platforms to foster learner autonomy and suggest implications for educators, policymakers, and educational technology developers. The study calls for further research on the longitudinal effects of personalized learning and the socio-economic factors affecting m-learning adoption and effectiveness.

Exploring The Intention of Using Mobile Learning in Flipped Classroom Approach for Arts and Design Students

The flipped classroom is a pedagogical approach that encourages active learning experience activities in the classroom. The students will receive information and materials before class learning using mobile technology both inside and outside of the classroom to allow for more dynamic, interactive, and advanced learning activities that involve the application of knowledge with higher-order thinking. Studies have shown, students who use the Mobile learning or M-learning platform in a flipped learning method can provide an interactive, engaging, and cost-effective way for graduates to broaden their employability skills. Although research on mobile learning in the flipped classroom approach has been extensive, research on M-learning has been limited. The study's objective is to examine the effectiveness of mobile learning adoption in relation to students' perceptions and responses under the UTAUT2 (unified theory of acceptance and use of technology) model in the undergraduate arts and design students and to review the pilot study model in development for larger-scale future research. Through a quantitative research approach, the pilot study used questionnaires to gather data from 50 undergraduate arts and design in multimedia design programme students of first-year from a local higher education institution. The findings showed that every composite reliability value in this study exceeded the 0.70 threshold value, indicating strong indicator reliability of the factors. Moreover, flipped classrooms increase student involvement, learning motivation, achievements and both at the same time improving educators' knowledge of how to use the flipped learning model in ways that are most advantageous for their own students.

How to create a successful mobile learning strategy for medical education during lockdowns?

Mobile learning has played an important role during the COVID-19 pandemic and medical schools now consider it as an effective educational method in current and future crises. In this qualitative study, an attempt was made to demonstrate the principles of designing a mobile learning strategy in medical education from the perspective of experts. The study was conducted by the qualitative content analysis method. The data were collected from July 2022 to Feb 2023. Twelve participants were included in this study from Iran's medical universities, consisting of two members of the Higher Council of Virtual Education, three educational directors, three clinical faculty members, two faculty members specializing in e-learning and medical education, an educational vice, and a dean. Data were collected using semi-structured interviews and analyzed by Granheim and Lundman's (2004) method. Out of twelve participants in the study, eight (66%) were males and four (44%) females. Data were classified into eight categories and one theme. Based on the participants' experiences, the main theme, that is, "the principles of medical education design in mobile learning," included pedagogical component, interactive design, effective and comprehensive analysis, achieving objectives with the mobile learning platform, generating micro- and interactive e-content, teaching-learning interactive methods, course implementation and interactive evaluation at both micro- and macro-levels. Data analysis revealed that in addition to the eight principles in the medical education design in mobile learning, the participants prioritized the two principles of pedagogical component and interactive design over other principles in educational design. Using a successful mobile learning strategy in situations of restrictions limiting physical presence may improve the quality of medical education.

Retracted: Design of English Mobile Learning Platform Based on GSM-R Wireless Network Communication System

Retracted: Design of English Mobile Learning Platform Based on GSM-R Wireless Network Communication System

Exploring Legal Aspects Related to Emerging Technologies in Tanzanian Distance Education

The emergence of new technologies in the ICT sector and their integration into Tanzanian distance education presents both opportunities and challenges for the educational field. Innovations like Artificial Intelligence, robotics, Mobile learning, e-learning, cloud computing, video-assisted learning, and Digital Content Platforms play a crucial role in improving the teaching and learning process. These technologies have not only transformed various aspects of universities, such as teaching methods, assessment procedures, administration, examination management, financial records, and timetable scheduling but have also expanded educational access, enhanced quality, and reduced costs. This abstract provides an overview of a comprehensive research study focusing on the legal aspects related to the use of emerging technologies in Tanzanian distance education. As distance education becomes increasingly popular as a means to enhance access and quality of education in Tanzania, it is essential to consider the legal dimensions associated with this transformation. While technology brings significant improvements to the education sector, it also introduces legal, security, privacy, and safety challenges that require attention and resolution. From a legal perspective, the technology involved in electronic learning (e-learning) presents specific challenges because many existing legal and policy standards in education are primarily designed for traditional brick-and-mortar classrooms and face-to-face interactions. This research aims to identify and analyze the legal issues surrounding the implementation of emerging technologies in distance education. The study utilizes doctrinal and comparative research methods to examine international legal instruments, policies, and laws from other jurisdictions. The findings indicate that the current policies and legal instruments governing emerging technologies in Tanzania do not adequately address the existing legal gaps.

A Mobile English Learning Platform Based on Data Mining and Personalized Recommendations

Abstract As mobile technology advances, mobile English learning platforms have increasingly become the predominant mode of language acquisition. However, traditional platforms often suffer from inefficiency due to a lack of targeted and personalized recommendations. This paper explores the enhancement of mobile English learning platforms through the application of customized recommendation algorithms and data mining techniques. We have developed a system architecture composed of a user layer, a business layer, and a data layer, employing Spark and Support Vector Machine (SVM) for parallel data processing. Our approach integrates a collaborative filtering algorithm and a hybrid recommendation model, utilizing user information alongside the dual-tower model Deep Structured Semantic Model (DSSM) and the Deep Interest Network (DIN). Experimental results demonstrate that our recommendation model significantly surpasses traditional models in precision, recall, and F1 scores, with the F1 score improving by approximately 0.1 to 0.4. Furthermore, learners using this platform showed superior outcomes in homework completion, test scores, learning quality, and sustained learning enthusiasm compared to a control group, with an overall improvement of 15.48 points in English proficiency scores. In summary, this study validates the effectiveness of a mobile English learning platform that synergizes data mining with personalized recommendation algorithms to enhance both learning efficiency and user satisfaction.

Effectiveness of Android-Based Mobile Learning in Graphic Design Course for Digital Learning: The Development Research Study

This research spearheads the development and evaluation of an Android-based mobile learning platform specifically designed for graphic design education, using the 4-D model (Define, Design, Develop, Disseminate). The key findings indicate a substantial and statistically significant improvement in learning outcomes (t-count = −15.453, t-table = 2.019), highlighting the positive impact of the platform. Moreover, the Android-based learning platform proves highly effective in enhancing student motivation, with an average learning motivation score of 85.86%. The novelty of this research lies in its focus on a specific application of mobile learning technology in graphic design education, offering valuable insights for educational institutions navigating digital challenges. The platform not only contributes to improved learning quality but also fosters a creative mobile development environment, encouraging further research for its optimization in diverse educational contexts. Limitations include the need for ongoing technological updates and potential variations in device accessibility. Recommendations encompass continuous research for platform optimization, integration into broader educational settings, and adapting to evolving technological landscapes.

The My.Aral Project: Towards Developing A Mobile Learning Platform

The My.Aral Project: Towards Developing A Mobile Learning Platform

Retracted: An English Mobile Learning Platform Embedded in GSM-R Wireless Network Communication

Retracted: An English Mobile Learning Platform Embedded in GSM-R Wireless Network Communication

Leveraging Mobile Learning Platforms for Flexible Education Delivery: Bridging Educational Gaps in Afghanistan

The educational landscape of Afghanistan, besieged by infrastructural inadequacies and socio-political tribulations, presents a compelling case for the integration of mobile learning platforms. This article embarks on an exploratory voyage into the realms of mobile learning as a potential harbinger of educational transformation in Afghanistan. It delineates the pervasive educational challenges, underscores the technological innovations powering mobile learning platforms, and illuminates the pathways through which mobile learning can transcend the extant barriers to education. Enriched by real-world case studies, the narrative unravels the pragmatic lessons that can be harnessed to tailor mobile learning solutions to Afghanistan's unique context. The discussion further traverses the collaborative horizon, elucidating the synergistic interplay among academia, government, the private sector, and international bodies essential for the successful implementation of mobile learning platforms. The article also furnishes pragmatic recommendations, emphasizing the triad of policy formulation, infrastructure enhancement, and capacity building as cornerstone imperatives. The envisioned integration of mobile learning platforms augurs a paradigmatic shift towards a more accessible, inclusive, and resilient educational framework in Afghanistan, with far-reaching implications for socioeconomic development. Through a meticulous amalgamation of technology, policy, and collaborative endeavors, this article posits that Afghanistan stands on the cusp of an educational renaissance, with mobile learning platforms serving as a pivotal conduit towards this envisioned horizon.