92 research outputs found
The student-produced electronic portfolio in craft education
The authors studied primary school students’ experiences of using an electronic portfolio in their craft education over four years. A stimulated recall interview was applied to collect user experiences and qualitative content analysis to analyse the collected data. The results indicate that the electronic portfolio was experienced as a multipurpose tool to support learning. It makes the learning process visible and in that way helps focus on and improves the quality of learning. © ISLS.Peer reviewe
ECO D2.5 Learning analytics requirements and metrics report
In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided.Part of the work carried out has been funded with support from the European Commission, under the ICT Policy Support Programme, as part of the Competitiveness and Innovation Framework Programme (CIP) in the ECO project under grant agreement n° 21127
Elearning, Communication and Open-data: Massive Mobile, Ubiquitous and Open Learning
ABSTRACT: In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided
European Distance and E-Learning Network (EDEN). Conference Proceedings
Erasmus+ Programme of the European UnionThe powerful combination of the information age and the consequent disruption caused by these unstable environments provides the impetus to look afresh and identify new models and approaches for education (e.g. OERs, MOOCs, PLEs, Learning Analytics etc.). For learners this has taken a fantastic leap into aggregating, curating and co-curating and co-producing outside the boundaries of formal learning environments – the networked learner is sharing voluntarily and for free, spontaneously with billions of people.Supported by Erasmus+ Programme of the European Unioninfo:eu-repo/semantics/publishedVersio
Promoting Andean children's learning of science through cultural and digital tools
Conference Theme: To see the world and a grain of sand: Learning across levels of space, time, and scaleIn Peru, there is a large achievement gap in rural schools. In order to overcome this problem, the study aims to design environments that enhance science learning through the integration of ICT with cultural artifacts, respecting the Andean culture and empower rural children to pursue lifelong learning. This investigation employs the Cultural-Historical Activity Theory (CHAT) framework, and the Design-Based Research (DBR) methodology using an iterative process of design, implementation and evaluation of the innovative practice.published_or_final_versio
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Building Bridges Towards Self-regulation: The Goal-Setting Behaviour of Adult Language Learners in MOOCs
Massive Open Online Courses (MOOCs) offer educational opportunities to a wide range of learners. Language learners can use these courses to develop knowledge and practise language skills needed daily or in different areas of specialisation. However, learners may not benefit from this learning opportunity if they do not know how to self-regulate their learning. Self-regulated learners employ various processes to master their learning and accomplish their goals. The literature shows that goal setting is a helpful self-regulatory process that contributes to a successful MOOC learning experience. Goal setting is the driving force behind any educational intention and can provide the basis for a strategic plan formulated by learners at the start of a learning task.
Moreover, this self-regulatory process holds the key to activating, monitoring, and assessing an effective learning process. Nonetheless, goal-setting support in these online courses is scarce. Research on goal setting in MOOCs has not previously investigated the personal learning goals that learners bring to these non-formal learning environments. This represents a twofold omission in the field of Computer-Assisted Language Learning (CALL), in which MOOCs are themselves an under-researched area. Although CALL practitioners have gradually integrated MOOCs into the L2 classroom, little research has examined adult learners' goals during their MOOC-based learning.
To address this gap in the literature, this research uncovers the goal-setting behaviour of 19 adult learners who studied MOOCs for four weeks as part of their classroom-based language courses. To achieve this aim, the researcher gathered and analysed 38 semi-structured interviews, 71 weekly monitoring surveys, 19 open-ended questionnaires and 19 MOOC screenshots. The findings of this study advance the field of CALL by providing a comprehensive picture of the different aspects of language, traditional and non-traditional goals, and MOOC elements involved when L2 adult learners self-regulate their learning online
The Big Five:Addressing Recurrent Multimodal Learning Data Challenges
The analysis of multimodal data in learning is a growing field of research, which
has led to the development of different analytics solutions. However, there is no
standardised approach to handle multimodal data. In this paper, we describe and outline a
solution for five recurrent challenges in the analysis of multimodal data: the data collection,
storing, annotation, processing and exploitation. For each of these challenges, we envision
possible solutions. The prototypes for some of the proposed solutions will be discussed
during the Multimodal Challenge of the fourth Learning Analytics & Knowledge Hackathon, a
two-day hands-on workshop in which the authors will open up the prototypes for trials,
validation and feedback
Multimodal Challenge: Analytics Beyond User-computer Interaction Data
This contribution describes one the challenges explored in the Fourth LAK Hackathon. This challenge aims at shifting the focus from learning situations which can be easily traced through user-computer interactions data and concentrate more on user-world interactions events, typical of co-located and practice-based learning experiences. This mission, pursued by the multimodal learning analytics (MMLA) community, seeks to bridge
the gap between digital and physical learning spaces. The “multimodal” approach consists in combining learners’ motoric actions with physiological responses and data about the learning contexts. These data can be collected through multiple wearable sensors and Internet of Things (IoT) devices. This Hackathon table will confront with three main challenges arising from the analysis and valorisation of multimodal datasets: 1) the data
collection and storing, 2) the data annotation, 3) the data processing and exploitation. Some research questions which will be considered in this Hackathon challenge are the following: how to process the raw sensor data streams and extract relevant features? which data mining and machine learning techniques can be applied? how can we compare two action recordings? How to combine sensor data with Experience API (xAPI)? what are meaningful visualisations for these data
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