An Investigation of the Influence of Intrinsic Motivation on Students’ Intention to Use Mobile Devices in Language Learning

This study examines the relationships among intrinsic motivation, critical variables related to technology adoption, and students’ behavioral intention in Mobile-assisted language learning (MALL). To test the hypothesized model through a path analysis, 169 survey responses were collected from undergraduate students who were foreign language learners of English in a Chinese research university. The results indicated that although intrinsic motivation did not have a direct influence on students’ behavioral intention in MALL, it had a positive influence on students’ behavioral intention through the two intervening variables, perceived usefulness and task technology fit. Perceived ease of use, however, was not associated with students’ behavioral intention directly, nor was it predicted by intrinsic motivation. The findings suggested proper instructional design that is aligned with and supports the language learning task was important to increase students’ behavioral intention to adopt mobile devices for language learning

Learning Outside of Classroom: Exploring the Active Part of an Informal Online English Learning Community in China

This study explored how the GRE Analytical Writing Section Discussion Forum, an informal online language learning community in China, functioned to support its members to improve their English writing proficiency. The Community of Inquiry (CoI) model was used as the theoretical framework to explore the existence of teaching presence, cognitive presence, and social presence in the GRE Analytical Writing Section Discussion Forum. The transcript analysis of postings in the GRE Analytical Writing Section Discussion Forum was used to find the existence of teaching, cognitive presence, and social presence, and an adapted CoI survey was sent to members to measure their perceived teaching, cognitive, and social presences. The results showed strong evidences of teaching presence, cognitive presence, and social presence, and high levels of perceived teaching, cognitive, and social presences in the GRE Analytical Writing Section Discussion Forum. The well-designed technological environment, distributed teaching presence shared by moderators and members, and extensive evidences of social presence in the discussion forum worked together to support learning in the GRE Analytical Writing Section Discussion Forum

Using Wikis to Support Peer Assessment Activities in Higher Education

This study explored the effectiveness of using wikis as an environment to support peer-assessment in higher education settings. The participants of this study were nineteen per-serviced teachers who enrolled in an undergraduate course on the application of instructional technologies in classroom. In the study, the participants created their personal wiki pages within a course wiki and formed groups of three or four. Five peer-assessment activities were assigned, in which the participants uploaded their class projects to their wiki pages and went to their group member’s pages to provide feedback. The participants were expected to evaluate other’s projects in terms of educational values, visual effects and the format. A short survey was conducted after each activity asking participants’ perceived learning and a post-survey was conducted at the end of the study to ask their general experience of peer-assessment activities in the wiki environment. The survey results and the analysis of participants’ wiki posts indicated that the wiki was an interactive environment that facilitated the peer-assessment effectively. With proper guidance, the participants were able to provide critical peer feedback within the wiki environment

Using Social Annotation Tools to Foster Collaborative Learning

Social annotation (SA) allows learners to highlight and comment on web pages and share annotations with each other online. Despite its potential in promoting collaborative learning, how to integrate it into educational settings has not been fully studied. This study aims at introducing and exploring three different ways of incorporating SA-based activities into an online course: (a) peer review; (b) annotated discussion; and (c) collaborative reading. Students participated all three SA- based activities and took a survey at the end reporting the effectiveness of these activities. In this proposal we reported the initial findings of student participation in the three collaborative learning activities

Olétrip : planificación dinámica de planes de ocio

En la actualidad, como consecuencia de los avances tecnológicos, hay una gran cantidad de sistemas de recomendación que proporcionan demasiada sobreinformación, y, sobre todo, los dedicados al sector turístico y de ocio, que cada vez están más en auge, y las personas recurren cada vez más a ellos para organizar planes, individuales o grupales. Sin embargo, sólo muestran información estática y no acorde con las preferencias de usuario, además de no poder ofrecer recomendaciones para grupos. Olétrip surge como un sistema que permite la elaboración de planes de ocio individuales y/o grupales en la comunidad autónoma de Andalucía (España), basados en preferencias de usuario, y retroalimentación de todos los participantes en él. Llegando a conseguir el plan idóneo para todos. Olétrip se ha diseñado e implementado mediante una serie de servicios REST, donde se recabarán datos de preferencias de viaje de los usuarios, retroalimentación de las diferentes actividades, etc., y así conseguir recomendar el plan deseado por el usuario. Para probar el uso de estos servicios, se ha diseñado una interfaz web, independiente del sistema, implementada con tecnologías idóneas para tal fin, HTML y JavaScript, así como una evaluación con usuarios, para poder conocer el grado de usabilidad de la web, y los servicios que ofrece. Además, se han explorado, analizado, y diseñado algoritmos que han permitido ofrecer una ruta final idónea. Por lo tanto, se describirá como se ha llevado a cabo el proceso de elaboración del sistema, así como la implementación de los algoritmos, los resultados y conclusiones obtenidas tras todo el desarrollo