Bulgarian OpenAIRE Repository
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weSPOT: Contemporary approach for science education
No full textMath, science and technology (MST) education in Europe is significantly based on
experiments and problem solving. The innovative project weSPOT aims introducing
of such education with a strong emphasis on scientific inquiry, individualization of
learning and enhancing the role of social interaction. To achieve this goal, each student is supported by a set of software tools, helping him to plan, implement, comment and document his personal scientific experiment. The students are encouraged to share and discuss their experience and to learn how to conduct a scientific research. They share their achievements in class as well as in their own social community (friends, family, scientists, etc.).
This paper describes in details the scientific approach which is the base for the pilot experiments of the weSPOT-methodology. It presents the first pilots of inquiry based science education in secondary school and analyses the applicability of the used software products
weSPOT: Inquiry based learning meets learning analytics
No full textweSPOT, a project supported by the European Commission, addresses several challenges to building personal knowledge, specifically in the area of science. It focuses on inquiry-based learning, in which the learner takes the role of a self-motivated explorer, and provides support for building these skills.
The main problem areas weSPOT tackles are the general lack of inquiry skills in students from ages 12 to 25, the dearth of technological support to bolster students’ curiosity, linking everyday world experiences to the classroom, streamlining e-learning with inquiry-based approaches, and measuring the impact of inquiry projects.
weSPOT’s main objectives are: (a) defining a reference model for inquiry-based learning skills, (b) creating a diagnostic instrument for measuring inquiry skills, and (c) implementing a working environment that allows the easy linking of inquiry activities with school curricula and legacy systems
My classroom - Energy Effective: Inquiry-based Science Education in the Classroom
No full textUsing project-based learning technologies is not a new way of teaching in the Bulgarian school. Working on the pilot experiment “Energy effectiveness” – in the frame of the weSpot 7FP European project and in participation with Sofia University gives us an opportunity to use these technologies with our students in First Private Mathematical School in Sofia. The particular topic is “My classroom – energy effective”. The students who took part in the experiment are in 6-th grade (13 years old). In the experiment teachers in Human and Nature, Informational Technology, etc. have taken part. We have been working on an International project – weSPOT, whose purpose is to create new technologies for Inquiry Based Science Education. The work is based on The Mulholland et al (2012) inquiry cycle, consisting of 8 phases, including decisions on the questions, collecting and analysing data, sharing the experience, etc.EDULEARN13 Proceedings of 5th International Conference on Education and New Learning Technologies, 1 - 3 July, 2013, Barcelona, Spain, Edited by L. Gomez Chova, A. Lopez Martinez, I. Candel Torres, Published by International Association of Technology, Education and Development (IATED), Barcelona, Spain, pp: 5475 – 5483
Classification of Online Reviews by Computational Semantic Lexicons
No full textWe present a method for automatic generation of sentiment aware lexicon based on 500’000 recent online user reviews about restaurants and hotels. The experiments include an implementation of a web crawler, part of speech tagger, and an algorithm for sentiment analysis and expansion of the lexicon. The experiments are focused on the domain of restaurant and hotel reviews, which offers a large set of relatively simply and short texts that are also self-tagged by their authors and limited to a set of topics like service, food quality, ambience, etc. We found out that the area is prominent for building and testing machine learning algorithms for opinion mining and sentiment analysis and this is proven by our results which achieve and accuracy of up to 88%. The research is based on very recent consumer generated data
Ad-hoc Radial Visualization of SCORM Objects with Extended Search and Keywords Handling
No full textThis paper presents a novel, mash-up web service amending the Sharable Content Object Reference Model (SCORM) objects’ presentation. It is designed to be used on its own or as complementary visualization in Learning Management Systems (LMS) or other SCORM runtimes. As a proof-of-concept, a SpicyNodes-geared radial visualization of the extracted semantic-, keyword-, and index structures is built by parsing the objects’ internal content and activities organizations, Learning Object Metadata (LOM) notations, HTML’s content, structuring tags, hyperlinks and metadata
Semantic Retrieval Approach to Factoid Question Answering for Bulgarian
No full textWith the abundance of information available today, we need ecient tools to explore it. Search engines try to retrieve the most relevant documents for a given query, but still require users to look for the exact answer. Question Answering (Q&A) systems go one step further by trying to answer users' questions posed in natural language. In this paper we describe the semantic approach to Q&A retrieval applied for Bulgarian language. We are investigating how the usage of named entity recognition, question answer type detection and dependency parsing can improve the retrieval of answer-bearing structures compared to the bag-of-words model. Moreover, we evaluate nine dierent dependency parsing algorithms for Bulgarian, and a named entity recognizer trained with data automatically extracted from Wikipedia
Using Semantic Relations for Representing Long-Term User Interests
No full textIn this paper we present a new mechanism for representing the long-term interests of a user in a user profile. Semantic relatedness between the profile terms is measured by using the web counting based method. Profile terms are associated through their sets of inductions words, representing highly related words to the terms that are found out through their co-occurrence in the web documents and semantic similarity. The relation between the two profile terms is then calculated using the combination of their corresponding sets of induction words. The method is evaluated against some benchmark methods and shows promising results
Clustering and visualization of ECG signals
No full textHolter electrocardiographic (ECG) signals are ambulatory long-term registers used to detect heart diseases. These signals normally include more, than one channels and its duration is up to 24 hours. The principal problem of the cardiologists is the manual inspection of the whole Holter ECG to find all those beats which morphology differs from the normal beats. In this paper we present our method. We apply firstly a grid clustering technique. Secondly we use a special density-based clustering algorithm, named Optics. Then we visualize every heart beat in the record, heartbeats in a cluster, furthermore we represent every cluster with median of heartbeats. We can perform manual and further automatic clustering. With this method, the result is easy ECG analysis and optimization of time of processing
An Ontology-Based Model for Driving the Building of Software Product Lines in an ITS Context
No full textThe Intelligent Tutoring Systems (ITS) have been used daily to support education in several domains. For this reason, the fast and easy construction of such ITS are fundamental requirements. In this sense, Software Product Line has been used accordingly for building Intelligent Tutoring System Families. However, the construction of such family systems is still a hard and complex task which involves the representation and manipulation of different knowledge sources with distinct artifacts. To alleviate these issues, this paper proposes an ontology-based model for driving the building of software product lines in an ITS Context. In order to evaluate the proposed model, a case study is provided describing the construction of an ITS in the programming domain. In addition, an evaluation was done aiming to show the feasability of the proposed model. The main conclusion is that this model reduces the effort and the complexity in the construction of such systems
Living Labs in E-learning, E-learning in Living labs and Living Labs for E-learning
No full textWithin knowledge-based society companies are the main engines of technological innovations, boosted by severe global competition and shorter product life-cycle. In parallel learning systems slowly adapt to increasing needs of learners, society and companies. Learning often become isolated practice, concentrated in educational institutions and not reflecting regional, company or practical context. Therefore, the present research proposes a new approach for discussion and comparison of emerging living labs environments with e-learning systems as technology-mediated social participation systems. Matching e-learning with living labs can increase value both for education and for innovation processes. That is why there will be discussed three main scenarios for implementation – e-learning in the context of living labs, living labs in the context of e-learning and implementation of living lab for e-learning