The use of learning management platforms in school context - a national study

This report results from a national study carried out under the Project “Educational application of learning management platforms”, supported and funded by the Computers, Networks, and Internet in Schools department of the Portuguese Ministry of Education- General Directorate for Innovation and Educational Development. This report has been developed by the ICT Competence Centre of the Faculty of Sciences- University of Lisbon, during the school year 2007/2008

Facilitating collaborative knowledge construction in computer-mediated learning with structuring tools

Collaborative knowledge construction in computer-mediated learning environments puts forward difficulties regarding what tasks learners work on and how learners interact with each other. For instance, learners who collaboratively construct knowledge in computer-mediated learning environments sometimes do not participate actively or engage in off-task talk. Computer-mediated learning environments can be endorsed with socio-cognitive structuring tools that structure the contents to be learned and suggest specific interactions for collaborative learners. In this article, two studies will be reported that applied content- and interaction-oriented structuring tools in computer-mediated learning environments based on electronic bulletin boards and videoconferencing technologies. In each study the factors "content-oriented structuring tool" and "interaction-oriented structuring tool" have been independently varied in a 2X2-factorial design. Results show that interaction-oriented structuring tools substantially foster the processes of collaborative knowledge construction as well as learning outcomes. The content-oriented structuring tools facilitate the processes of collaborative knowledge construction, but have no or negative effects on learning outcome. The findings will be discussed against the background of recent literatGemeinsame Wissenskonstruktion in computervermittelten Lernumgebungen birgt Schwierigkeiten in Bezug darauf, welche Aufgaben Lernende bearbeiten und wie sie dabei miteinander interagieren. Lernende, die gemeinsam Wissen in computervermittelten Lernumgebungen konstruieren, nehmen z. B. manchmal nicht aktiv an der Bearbeitung von Lernaufgaben teil oder beschäftigen sich mit inhaltsfremden Themen. Computervermittelte Lernumgebungen können mit Hilfe sozio-kognitiver Strukturierungswerkzeuge unterstützt werden, die die Lerninhalte vorstrukturieren und den Lernenden spezifische Interaktionen nahe legen. In diesem Beitrag werden zwei Studien berichtet, die inhalts- und interaktionsbezogene Strukturierungswerkzeuge in computervermittelten Lernumgebungen, die auf web-basierten Diskussionsforen und Videokonferenz-Technologien beruhen, zum Einsatz gebracht und analysiert haben. In jeder der Studien wurden die Faktoren "inhaltsbezogenes Strukturierungswerkzeug" und "interaktionsbezogenes Strukturierungswerkzeug" unabhängig voneinander in einem 2X2-Design variiert. Die Ergebnisse zeigen, dass interaktionsbezogene Strukturierungswerkzeuge die Prozesse sowie die Ergebnisse gemeinsamer Wissenskonstruktion substanziell fördern können. Die inhaltsbezogenen Strukturierungswerkzeuge unterstützen die Prozesse gemeinsamer Wissenskonstruktion, zeitigen aber keine oder negative Effekte auf die Lernergebnisse. Die Befunde werden vor dem Hintergrund aktueller theoretischer Ansätze diskut

The Collaboration of a Principal and a Mathematics Specialist

This article describes the importance of the collaboration between the principal, Patty Granada, and the Mathematics Specialist, Susan Garthwaite, in fostering a highly functioning mathematics program. While many aspects of the collaboration as facilitators for a mathematics program are logical, the messy aspects provide greater challenges. Through continued collaboration, they have come to embrace the messiness which has contributed to an awareness of similar belief systems in their roles. These beliefs include openness to learning and a sincere commitment to bringing out the best in students and teachers. The principal and the Mathematics Specialist share their continued journey in this collaborative relationship that is essential to the success of the mathematics program

Epistemic and Social Scripts in Computer-Supported Collaborative Learning

Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners interact with each other. Therefore, instructional support needs to be implemented into computer-supported collaborative learning environments. One possibility to improve collaborative learning environments is to conceptualize scripts that structure epistemic activities and social interactions of learners. In this contribution, two studies will be reported that investigated the effects of epistemic and social scripts in a text-based computer-supported learning environment and in a videoconferencing learning environment in order to foster the individual acquisition of knowledge. In each study the factors "epistemic script" and "social script" have been independently varied in a 2×2-factorial design. 182 university students of Educational Science participated in these two studies. Results of both studies show that social scripts can be substantially beneficial with respect to the individual acquisition of knowledge, whereas epistemic scripts apparently do not lead to the expected effects.Unter kooperativem Lernen in computerunterstützten Lernumgebungen versteht man typischerweise, dass Lernende Wissen erwerben indem sie gemeinsam Aufgaben bearbeiten und dabei ihre individuellen Perspektiven mittels textbasierter Medien oder in Videokonferenzen diskutieren. Kooperatives Lernen scheint aber häufig suboptimal zu sein in Bezug auf die inhaltliche Bearbeitung der zu lernenden Konzepte sowie hinsichtlich der sozialen Interaktionen der Lernenden. Eine Möglichkeit kooperative Lernumgebungen zu verbessern besteht darin, Skripts zu konzeptualisieren, die epistemische Aktivitäten und soziale Interaktionen von Lernenden unterstützen. In diesem Beitrag werden zwei Studien berichtet, die die Wirkungen epistemischer und sozialer Skripts auf den individuellen Wissenserwerb in einer text- bzw. einer videobasierten computerunterstützten Lernumgebung untersuchen. In beiden Studien wurden die Faktoren "epistemisches Skript" und "soziales Skript" unabhängig voneinander in einem 2×2-faktoriellen Design miteinander variiert. 182 Studierende der Pädagogik der LMU München nahmen an diesen beiden Studien teil. Die Ergebnisse beider Studien deuten darauf hin, dass soziale Skripts individuellen Wissenserwerb substanziell fördern können, während epistemische Skripts scheinbar nicht zu den erwarteten Ergebnissen führen

Epistemic and social scripts in computer-supported collaborative learning

Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners interact with each other. One possibility to improve collaborative learning environments is to conceptualize epistemic scripts, which specify how learners work on a given task, and social scripts, which structure how learners interact with each other. In this contribution, two studies will be reported that investigated the effects of epistemic and social scripts in a text-based computer-supported learning environment and in a videoconferencing learning environment in order to foster the individual acquisition of knowledge. In each study the factors ‘epistemic script’ and ‘social script’ have been independently varied in a 2×2-factorial design. 182 university students of Educational Science participated in these two studies. Results of both studies show that social scripts can be substantially beneficial with respect to the individual acquisition of knowledge, whereas epistemic scripts apparently do not to lead to the expected effects

The influence of Twitter on lecture engagement and discussion

The research presented in this paper is driven by a desire to increase student interaction and engagement in lecture discussion. The issues relating to the use of Twitter to achieve this goal are outlined. At the outset, the importance of interaction and engagement in learning is established, drawing on a number of educational theories and previous research in the area. Following this, the necessity for action is recognised by critiquing lectures as a forum for this standard of learning. The researcher presents technology as a means to increase student interaction, beginning with Audience Response Systems (ARS). A summary of research carried out on ARS is examined to provide a basis for integrating technology. Following this a review of experiments conducted using Twitter is carried out. Although there is a dearth of research in this area, these provide some insights into the use of this technology and its integration into education. The paper then examines student adoption of Twitter as a means of engagement, outlining the strengths, weaknesses and opportunities for the future. Finally emerging uses of the Twitter platform are examined, allowing the reader glimpse student hopes for future integration

Designing an e-tutoring system for large classes: mixed-method research

This study aimed at assessing the perceptions of 167 teachers about the tutoring system adopted in an online training course involving teachers from 20 Schools of Sesimbra, Setúbal and Palmela counties. The course, called “Distributed Knowledge with Web 2.0”, was officially certified as a blended learning modality, with the duration of 50 hours, 41 of which occurred online in two editions, the first in February and the second in July of 2012, each one of them involving respectively 82 and 85 teachers, divided in four classes with about 20 trainees each. This blended learning course was designed at producing educational materials in digital format, and included autonomous and group activities, knowledge sharing and reflection. A learning environment, supported by the Ning platform, was set up. At the end of the course, the trainees answered to a pencil and paper survey, in order to evaluate the adopted online tutoring strategy. Additionally the trainees’ final reports contained evidence of how the trainees assessed the tutoring model component of the course; both the survey and the reports were the basis for this research. The results show that the teachers who attended the two course editions disclosed very positive perceptions about online learning, a modality they consider adequate to their current professional status and conditions. The trainees also showed their intention of, in the future, opting for blended training arrangements. Future developments of this study involve a content analysis of the tutor’s posts, in order to understand more accurately the tutor’s messages characteristics, in their social and cognitive dimensions

Assessment and learning outcomes: the evaluation of deep learning in an on-line course

Using an online learning environment, students from European countries collaborated and communicated to carry out problem based learning in occupational therapy. The effectiveness of this approach was evaluated by means of the final assessments and published learning outcomes. In particular, transcripts from peer-to-peer sessions of synchronous communication were analysed. The SOLO taxonomy was used and the development of deep learning was studied week by week. This allowed the quality of the course to be appraised and showed, to a certain extent, the impact of this online international course on the learning strategies of the students. Results indicate that deep learning can be supported by synchronous communication and online meetings between course participants.</p