Perspectives for Mobile Learning in Higher Education in Bulgaria

Todoranova, Latinka; Penchev, Bonimir

doi:10.1007/978-3-030-65722-2_28

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Database licenses sometimes cost more expenses than the licenses for the accounting software. Database problems reflect in the accounting software (e.g., in [16], [17], [18], [19] and [20]). The accountant may see an error, but he/she does not know if the error is bug in the software, problem with the database or hardware or network problem.…”

Section: Software Aspects Of Accountingmentioning

confidence: 99%

Issues in the Disclosure of Financial Information by Multinational Enterprises

Stefanov¹,

Georgieva²,

Vasilev³

2022

TEM Journal

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The aim of this paper is to explore issues of investment presentation, financial instruments, earnings disclosure indicators and software aspects of accounting for multinational enterprises. The study is based on the public financial statements of the Solvay Group. The main approach is using two viewpoints – accounting view of financial information and IT view of financial information. The results of this study are useful for other multinational enterprises that prepare their financial statements in accordance with International Financial Reporting Standards and use big data in accounting.

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Section: Software Aspects Of Accountingmentioning

confidence: 99%

Issues in the Disclosure of Financial Information by Multinational Enterprises

Stefanov¹,

Georgieva²,

Vasilev³

2022

TEM Journal

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“…En este sentido, se justifica la investigación sobre los factores, características, impacto y perspectivas sobre la enseñanza y sobre el aprendizaje mediado por el móvil (Todoranova, & Penchev, 2021). Así, la literatura científica evidencia que una parte importante de los usuarios de teléfonos inteligentes con Internet móvil y aplicaciones instaladas para diversos fines (incluida la docencia) son estudiantes que viven principalmente en áreas urbanas (Romero-Rodríguez, 2021).…”

Section: Desarrollounclassified

El aprendizaje móvil (m-learning) en la universidad en tiempos de la COVID-19: Una herramienta formativa en la Educación Superior

Maturrano

2022

EEC

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El objetivo de la investigación fue analizar el uso del aprendizaje móvil y las tecnologías basadas en él como una herramienta formativa del proceso educativo universitario; y plantear usos y aplicaciones del m-learning. La metodología del estudio realizó análisis estadísticos descriptivos e inferenciales de la aplicación de una encuesta aplicada a 74 estudiantes universitarios de cuatro universidades (públicas y privadas) sobre el uso de dispositivos móviles. Los resultados evidencian que los estudiantes universitarios emplean los dispositivos móviles para actividades de ocio y recreación antes que para el aprendizaje y el conocimiento. Se concluye que la mayoría relativa de los encuestados no están acostumbrados a usar dispositivos móviles a diario como herramienta de aprendizaje ni para la búsqueda de información.

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“…Therefore, mobile learning methods based on mobile terminal devices are increasingly favored by learners. After the generation of mobile learning resources (MLRs), resource providers for the supervision of mobile learning platforms need to ensure the efficiency of resource selection and allocation through a proper execution process [11][12][13][14][15][16][17][18]. In this process, how to allocate reasonable MLRs for user terminals and servers has become a hot issue among mobile learning researchers.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Mobile Learning Resources Based on a Complex Network

Liu¹,

Zhao²

2022

Int. J. Emerg. Technol. Learn.

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Currently, centralized online learning can no longer meet the fragmented learning needs of learners. It is a hot topic in mobile learning to allocate reasonable mobile learning resources (MLRs) for user terminals and servers. However, the existing studies have rarely discussed the matching relationship between the MLR features of user terminals and servers. To fill up the gap, this paper tries to optimize the allocation of MLRs based on the theory of mobile knowledge complex network. Firstly, a local bidirectional fitness model was established to optimize MLR allocation, and the core nodes were mined from the complex network of MLRs. Next, the authors clarified the causality between the density of MLR complex network and resource integration, constructed an evaluation index system (EIS) for MLR integration ability, and evaluated the overall resource integration ability of MLR network resources. The proposed network was proved effective in optimizing the resource allocation of mobile learning networks through experiments.

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Perspectives for Mobile Learning in Higher Education in Bulgaria

Cited by 3 publications

References 2 publications

Issues in the Disclosure of Financial Information by Multinational Enterprises

Issues in the Disclosure of Financial Information by Multinational Enterprises

El aprendizaje móvil (m-learning) en la universidad en tiempos de la COVID-19: Una herramienta formativa en la Educación Superior

Optimal Allocation of Mobile Learning Resources Based on a Complex Network

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