IDR : a participatory methodology for interdisciplinary design in technology enhanced learning

One of the important themes that emerged from the CAL’07 conference was the failure of technology to bring about the expected disruptive effect to learning and teaching. We identify one of the causes as an inherent weakness in prevalent development methodologies. While the problem of designing technology for learning is irreducibly multi-dimensional, design processes often lack true interdisciplinarity. To address this problem we present IDR, a participatory methodology for interdisciplinary techno-pedagogical design, drawing on the design patterns tradition (Alexander, Silverstein & Ishikawa, 1977) and the design research paradigm (DiSessa & Cobb, 2004). We discuss the iterative development and use of our methodology by a pan-European project team of educational researchers, software developers and teachers. We reflect on our experiences of the participatory nature of pattern design and discuss how, as a distributed team, we developed a set of over 120 design patterns, created using our freely available open source web toolkit. Furthermore, we detail how our methodology is applicable to the wider community through a workshop model, which has been run and iteratively refined at five major international conferences, involving over 200 participants

Virtual pedagogical model: development scenarios

info:eu-repo/semantics/publishedVersio

Context-Aware Systems for Sequential Item Recommendation

Quizlet is the most popular online learning tool in the United States, and is used by over 2/3 of high school students, and 1/2 of college students. With more than 95% of Quizlet users reporting improved grades as a result, the platform has become the de-facto tool used in millions of classrooms. In this paper, we explore the task of recommending suitable content for a student to study, given their prior interests, as well as what their peers are studying. We propose a novel approach, i.e. Neural Educational Recommendation Engine (NERE), to recommend educational content by leveraging student behaviors rather than ratings. We have found that this approach better captures social factors that are more aligned with learning. NERE is based on a recurrent neural network that includes collaborative and content-based approaches for recommendation, and takes into account any particular student's speed, mastery, and experience to recommend the appropriate task. We train NERE by jointly learning the user embeddings and content embeddings, and attempt to predict the content embedding for the final timestamp. We also develop a confidence estimator for our neural network, which is a crucial requirement for productionizing this model. We apply NERE to Quizlet's proprietary dataset, and present our results. We achieved an R^2 score of 0.81 in the content embedding space, and a recall score of 54% on our 100 nearest neighbors. This vastly exceeds the recall@100 score of 12% that a standard matrix-factorization approach provides. We conclude with a discussion on how NERE will be deployed, and position our work as one of the first educational recommender systems for the K-12 space

Learning localization through Trans-Atlantic collaboration: bridging the gap between professions

In light of what has taken place since their presentation at the IEEE International Professional Communication Conference in 2005, the authors describe additional requirements and merits of matching technical writing students in the US with translation students in Europe in a collaborative assignment. Where the original article dealt with how to set up and organize the collaboration, this tutorial delves into the pedagogical challenges and the process dynamics involved in such an exchange, including mediation, power, and teamwork issues

Information and Communication Technologies (ICTS) as a Tool for Intercultural Education. A collaborative experience in secondary education in Tlapa de Comonfort, Guerrero, Mexico

This paper discusses the collaborative experience of creating educational materials for a secondary school in Tlapa de Comonfort, Guerrero, México. In this school, students from Nahuatl, Tun savi, Me'phaa and Spanish speaking communities live and learn together. The intercultural context provides challenges for science education that we sought to address. The use of collaborative technologies in science classes has made visible the cultural diversity in the classroom, helping students and teachers recognize themselves as active agents in the construction of common knowledge and in sharing their\ud knowledge. This experience also shows the importance of ICTs as technologies of expression that reinforce individual and collective identity in intercultural contexts

The adoption of open sources within higher education in Europe : a dissemination case study

For some time now, the open-source (OS) phenomenon has been making its presence felt; disrupting the economics of the software industry and, by proxy, the business of education. A combination of the financial pressure Higher Education Institutions (HEIs) find themselves under and the increasing focus on the use of technology to enhance students' learning have encouraged many HEIs to look towards alternative approaches to teaching and learning. Meanwhile, the "OS" has challenged assumptions about how intellectual products are created and protected and has greatly increased the quantity and arguably the quality of educational technologies available to HEIs

Blogging: Promoting Learner Autonomy and Intercultural Competence through Study Abroad

The current study explores closely how using a combined modalities of asynchronous computer-mediated communication (CMC) via blogs and face-to-face (FTF) interaction through ethnographic interviews with native speakers (L1s) supports autonomous learning as the result of reflective and social processes. The study involves 16 American undergraduate students who participated in blogs to develop their intercultural competence over the course of one-semester study abroad. The results show that blogs afforded students the opportunity to work independently (e.g., content creation) and reflect upon cross-cultural issues. Critical reflection, however, relied on the teacher’s guidance and feedback, as most of the students were cognitively challenged by not being able to clearly articulate different points of view. It is likely that students were not accustomed to reflecting. The findings also indicate that task type fostered autonomy in different ways. While free topics gave students more control of their own learning, teacher-assigned topics required them to critically think about the readings. Lack of access to Internet at the host institution and family also contributed to a limited level of social interaction. The study concludes that well-designed tasks, effective metacognitive and cognitive skills, and the accessibility to Internet are essential to maximize the potentials of blogs for learner autonomy and intercultural communication

Contemporary developments in teaching and learning introductory programming: Towards a research proposal

The teaching and learning of introductory programming in tertiary institutions is problematic. Failure rates are high and the inability of students to complete small programming tasks at the completion of introductory units is not unusual. The literature on teaching programming contains many examples of changes in teaching strategies and curricula that have been implemented in an effort to reduce failure rates. This paper analyses contemporary research into the area, and summarises developments in the teaching of introductory programming. It also focuses on areas for future research which will potentially lead to improvements in both the teaching and learning of introductory programming. A graphical representation of the issues from the literature that are covered in the document is provided in the introduction

Personalised trails and learner profiling within e-learning environments

This deliverable focuses on personalisation and personalised trails. We begin by introducing and defining the concepts of personalisation and personalised trails. Personalisation requires that a user profile be stored, and so we assess currently available standard profile schemas and discuss the requirements for a profile to support personalised learning. We then review techniques for providing personalisation and some systems that implement these techniques, and discuss some of the issues around evaluating personalisation systems. We look especially at the use of learning and cognitive styles to support personalised learning, and also consider personalisation in the field of mobile learning, which has a slightly different take on the subject, and in commercially available systems, where personalisation support is found to currently be only at quite a low level. We conclude with a summary of the lessons to be learned from our review of personalisation and personalised trails