Technology enhanced learning

Pirms aptaujas tika izpētītas dažu universitāšu publiski pieejamas tīmekļa vietnes ar mērķi savākt informāciju par personāla kvalifikācijas celšanu tehnoloģiju uzlaboto mācību jomā. Par tiešsaistes aptauju tika saņemtas 27 atbildes, kas ir apmēram ceturtdaļa no visām Lielbritānijas augstākās izglītības iestādēm, kas abonē e-mācību vadītāju foruma biļetenu (kopējais skaits ir 118). Aizpildītas aptaujas ir saņemtas gan no universitātēm, kas šo statusu ieguva pirms 1992. gada (kopējais skaits 16), gan pēc 1992. gada (kopējais skaits 11), un rezultāti norāda kā šajā Lielbritānijas augstākās izglītības iestāžu izlasē notiek darbinieku kvalifikācijas celšana tehnoloģiju uzlaboto mācību jomā. Aptaujas galvenais jautājums bijis „Kā Lielbritānijas augstākās izglītības iestādes nodrošina akadēmiskā personāla kvalifikācijas celšanu tehnoloģiju uzlaboto mācību jomā?“.

Divpadsmit jautājumi, gan ar atbilžu variantiem, gan bez tiem, tika izstrādāti ar nolūku savākt pietiekoši daudz informācijas par to, kā dažādas Lielbritānijas iestādes apmierina vajadzības pēc personāla kvalifikācijas celšanas tehnoloģiju uzlaboto mācību jomā. Pēc izvēlētās pētījuma metodoloģijas pamatojuma tiek analizēti un aprakstīti tiešsaistes aptaujas rezultāti, bet raksta beigās ir atrodami secinājumi.

The main focus of the workshop DAILE’13 is to elaborate as well as integrate various computational approaches for analysing and interpreting data from technology-enhanced learning (TEL) environments, thereby serving three goals: (i) improving learning and instruction; (ii) designing learning software; (iii) developing deeper understanding of learner and teacher models.

In the spirit of “learning analytics”, we will extend the focus from closed within-system usage of computational analyses towards putting humans in the loop of making use of analysis results, for instance, in terms of monitoring and reflection support. This entails adequate modalities of information provision, including visualisation techniques and visual metaphors.

Contributors are invited to share sample datasets of user interactions with TEL environment and an analysis approach in the form of an experiential report, which will then be further developed into a scientific paper in the scope of the workshop.

Rationale

“If you cannot measure it, you cannot improve it” (a.k.a. Sir William Thomson, n.d.). This dictum has been employed to justify the quantification of theoretical concepts of various disciplines. We further claim that “if you cannot interpret what is measured, you cannot improve it“. Arguably one can measure (almost) anything in some arbitrary way. The compelling concern is whether the measure is meaningful, useful and valid to reflect the state or nature of the object or event in question. The key attribute “meaningfulness” hinges critically upon interpretability of data.

Recent initiatives in the field of technology-enhanced learning (TEL) consider establishing an open learning environment built upon a dynamically evolving network of people, artefacts, and tools as the most important outcome of learning.  Consequently, measuring and interpreting the dynamics of and interactions within flexible TEL environments based on digital traces (action logs, versions of digital artefacts) is of tremendous importance for various target groups.

In the context of open learning environments, a specific challenge is the specification, identification and interpretation of errors through error patterns. However, error identification is not a clear-cut process in certain situations as evaluators may diverge on what constitutes an error. Besides, the issue of data interpretability (and the transferability of findings) will further be complicated by collaborative learning scenarios, and community effects in large-scale learning environments with huge networks of learners are intriguing to explore.

Workshop Topics

Given the interdisciplinary nature of the workshop, researchers and practitioners from TEL, Human-Computer Interaction (HCI), the Semantic Web, and data-driven research (Learning Analytics, TEL Recommenders, Educational Data Mining etc.) are relevant contributors. The following topics of interest, albeit non-exhaustive, are identified to invite submissions:

• Modelling, capturing, and processing of user interaction data in learning environments
• Anonymization and privacy preservation of real-world datasets
• Educational data mining on interaction traces and user-generated content
• Learning and Visual Analytics for institutions and individuals
• Interpretability and transferability of user interaction patterns in learning environments
• Evaluation of pedagogical models using digital traces of learners
• Effects of learning technology on user behaviour and competence development
• Implications of continuous and discrete values for user interface and usability issues
• Social network analysis and community effects in large-scale learning environments
• Feedback for teachers, learners and developers
• Process analysis (description of traces analysis and transformations steps)
•  

Workshop Format and Submission Procedure

Contributors are invited to submit experiential reports including example datasets, a proposed approach to analyze or exploit the data as well as preliminary or expected findings. Based on a voluntary mentoring process, contributors might be supported by the programme committee members in developing a scientific paper from the experiential report. There will be two types of contributions:  full papers with up to 6 pages describing substantial, completed work or position papers with 2 pages describing either results that can be concisely reported or work in progress. Papers should be formatted with the template (http://www.acm.org/sigs/publications/proceedings-templates) and submitted as PDF-file to: http://www.easychair.org/conferences/?conf=daile13. Thereafter, all submissions will be reviewed by the programme committee members according to their originality, significance, clarity, and quality.  An open contribution process (i.e. shepherding) will be launched to engage dialogs between experienced and young researchers in the workshop blog already at the early stage to facilitate the writing up of papers.

Furthermore, contributors will be asked to carry out preparatory work before attending the workshop. Specifically, they should prepare an experiential report (blog entry) to describe which research question is addressed and which dataset is used for this purpose. Pre-workshop activities will be arranged to discuss these preliminary findings. Highlights of these discussions will be documented and further analysed in the workshop. All peer-reviewed scientific contributions will be published as CEUR workshop proceeding (http://ceur-ws.org/).

Accepted submissions will be presented at the workshop (15 minutes) and discussed on a round table format (15 minutes). Additionally, a panel of three discussants with different expertise (Technology-Enhanced Learning, Human-Computer Interaction, Semantic Web) will be invited to present their views (each 5 minutes) on the following statements: “Which data is necessary to measure the success of pedagogical models, and how to gather this data in learning environments?”

Organisers

• Felix Mödritscher, Vienna University of Economics and Business, Austria
• Vanda Luengo, Domaine Universitaire de Saint-Martin d’Hères, France
• Effie Lai-Chong Law, University of Leicester, UK
• Ulrich Hoppe, University of Duisburg-Essen, Germany

Objetivos:

Proporcionar un centro de reunión e intercambio para el estudio de las relaciones entre la tecnología y el aprendizaje de lenguas y culturas extranjeras.

Abordar la situación actual de la enseñanza LE/L2 respecto al uso y desarrollo de entornos digitales. Analizar oportunidades y retos, presentes y futuros.

Promover el uso de las TIC entre el profesorado de lenguas como LE y L2

Impulsar el encuentro de los profesionales y las instituciones que trabajan en la enseñanza de lenguas.

Actualizar la preparación didáctica de los profesores de lenguas en las áreas y los contenidos necesarios para su actividad.

Facilitar la búsqueda colectiva de nuevos recursos didácticos y propuestas metodológicas que contribuyan a la enseñanza-aprendizaje de la lengua.

Crear y mantener un espacio profesional estable de estudios y espacio para el intercambio y la difusión de investigaciones, así como proporcionar las bases iniciales para la constitución de un Observatorio internacional sobre entornos digitales y enseñanza-aprendizaje de lenguas y culturas extranjeras

12 de marzo

Inicio del plazo de inscripciones y envío de comunicaciones

6 de mayo

Finalización del plazo de envío de comunicaciones 

13 de mayo

Finalización del plazo de inscripciones

14 de mayo

Inaguración de la plataforma del congreso

14 -19 de mayo

Comunicaciones y foros online

18 y 19 de mayo

Sesiones presenciales

19 de mayo

Clausura