Browsing by Subject "Mobile Learning"

Now showing 1 - 2 of 2
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    Open Access
    LongForm or Microcontent? An analysis of supports for digital content courseware
    (Universidad de Murcia, Servicio de Publicaciones, 2021) Santana Gomes, Nicole; Ximenes Martins, Ronei; Simone Azevedo, Daniela
    The use of digital educational resources has expanded considerably, including in the context of the COVID-19 pandemic. In the educational materials used in these resources, the Microcontent (MC) format predominates, with its fragmented and small information units. So, we ask: can the LongForm (LF) format, which allows the presentation of dense and extensive content, be a viable alternative to MC, when applied to complex educational content, specific to undergraduate courses? The LF, hypothetically, can offer better support for higher distance education courses. To answer the question, an educational activity, elaborated in both formats, was applied to 67 students from a university of Minas Gerais state, in Brazil. The observation of student activity revealed their preferences: MC has shown to be good for building learning with smaller materials in both size and content complexity, but LF was more appropriated when dealing with complex, dense, multimedia-requiring contents to facilitate understanding. It was confirmed that the LF presents itself as a viable alternative for online studying because it is constituted by a single virtual space where larger texts and varied multimedia resources can be inserted to enrich the educational material and to offer the full content for students
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    Publication
    Open Access
    Validity test of a mobile learning-based circuit training model for football players
    (Universidad de Murcia. Servicio de Publicaciones, 2025) Artanayasa, I Wayan; Satyawan, I Made; Adinata Kusuma, Ketut Chandra; Dharma Hita, I Putu Agus; Sin departamento asociado
    This study aimed to examine the validity of a mobile learning-based circuit training model for football players. A development approach consisting of three main stages: needs analysis, model development, and validation, was employed. The study included 50 students (41 males and 9 females) aged 19–23 years (M = 20 years) enrolled in a football course at the Faculty of Sports and Health, Universitas Pendidikan Ganesha. Data were collected through expert evaluations and participant feedback and analyzed using descriptive statistics. The needs analysis revealed a demand for innovative training models integrating technology to address the limitations of traditional methods, such as monotony and lack of flexibility in evaluation time. The developed model was validated by three experts in sports training, educational technology, and evaluation, achieving an average validity score of 4.74, classified as very valid. Participants reported that the model was user-friendly, effective, and aligned with their training needs. The implementation of this model also demonstrated significant potential in enhancing participant engagement during training sessions. These findings confirm that the proposed model is valid and represents a promising alternative to traditional training methods. Furthermore, the model contributes to the development of technology-based sports training that is flexible and engaging, supporting coaches and players in achieving their training objectives more efficiently.