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Differences in the Ability to Understand Mathematical Concepts of Students Taught by Using Guided Discovery Learning and Contextual Teaching and Learning Models Assisted by Autograph Software Viewed from Student Learning Styles

Rosauli Novalina Samosir, Pargaulan Siagian, Humuntal Banjarnahor
2019 American Journal of Educational Research  
This study aims to determine (1) whether the ability to understand mathematical concepts of students taught by Guided Discovery Learning (GDL) assisted by Autograph Software is higher than students taught  ...  by Contextual Teaching and Learning (CTL) assisted by Autograph Software, (2) whether the ability students' understanding of mathematical concepts in the convergent learning style group is higher than  ...  a concept, (e) linking various concepts in mathematics and outside mathematics, (f) use concepts or algorithms in problem solving.  ... 
doi:10.12691/education-7-11-12 fatcat:piuvrsqwxnavnmeehbzbgel6ie

Matching techniques for resource discovery in distributed systems using heterogeneous ontology descriptions

S. Castano, A. Ferrara, S. Montanelli, G. Racca
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
In this paper, we propose a semantic approach for the dynamic resource discovery based on ontologies for a semantically rich description of the metadata characterizing the resources to be shared, and on  ...  Contextual features. The H-MATCH algorithm evaluates the semantic affinity between two concepts by taking into account their contexts.  ...  The first requirement regards the balance between the linguistic and the contextual features of concept descriptions.  ... 
doi:10.1109/itcc.2004.1286480 dblp:conf/itcc/CastanoFMR04 fatcat:buon363eqfamvonsbjfk3ccrmq

Towards a Distributed Landmarks based Approach for the Localization and Discovery of Things on the Internet

Karima Belgharbi, Mahmoud Boufaida
2014 Procedia Computer Science  
In order to improve the transparency of pervasive information systems, we suggest a process based on the use of the formal analysis of concepts for the incremental construction of landmark directories.  ...  directories permit to label and localize rapidly the object containing the services appropriate for a given request in a pervasive environment.The selection is based on landmarks which are a combination of contextual  ...  [12] Suggest a personalized service discovery mechanism based on the semantics of contextual data and the analysis of the correspondences or the selection.  ... 
doi:10.1016/j.procs.2014.05.514 fatcat:pyv24luizfecniosyijvvhwqv4

Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis [chapter]

Igor Mozetič, Nada Lavrač, Vid Podpečan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi
2012 Lecture Notes in Computer Science  
The article presents an approach to computational knowledge discovery through the mechanism of bisociation.  ...  Contextualization and linking between highly diverse and distributed data and knowledge sources is therefore crucial for the implementation of bisociative reasoning.  ...  We envision that the open discovery process will identify potentially interesting concepts from different contexts which will act as the target nodes for the link discovery algorithms.  ... 
doi:10.1007/978-3-642-31830-6_27 fatcat:ros55glzj5aktly7fzyycdnf7u

Context-Aware Service Composition in Pervasive Computing Environments [chapter]

Sonia Ben Mokhtar, Damien Fournier, Nikolaos Georgantas, Valérie Issarny
2006 Lecture Notes in Computer Science  
This matching algorithm defines four levels of matching between two concepts in an ontology, a requested concept C Req and an advertised concept C Adv .  ...  This discovery algorithm compares semantically the atomic processes of the user task with those of the networked services.  ... 
doi:10.1007/11751113_10 fatcat:aqnkplzg6rhzfd46lackwfqq6i

Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks

Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Huan Liu
2012 2012 IEEE 19th International Conference on Web Services  
Then, we propose a new concept called QoTN (Quality of Trust Network) and a social context-aware trust network discovery model.  ...  Finally, we propose a Heuristic Social Context-Aware trust Network discovery algorithm (H-SCAN) by adopting the K-Best-First Search (KBFS) method and our optimization strategies.  ...  SOCIAL CONTEXT-AWARE TRUST NETWORK DISCOVERY MODEL In this section, we first analyze the influence of social contextual impact factors on social interactions, and then propose a new concept Quality of  ... 
doi:10.1109/icws.2012.47 dblp:conf/icws/LiuWOL12 fatcat:gopwjpfjazethnkfans5xkgsbe

Complex Schema Match Discovery and Validation through Collaboration [chapter]

Khalid Saleem, Zohra Bellahsene
2009 Lecture Notes in Computer Science  
In this paper, we demonstrate an approach for the discovery and validation of n:m schema match in the hierarchical structures like the XML schemata.  ...  We utilize linguistic matching algorithms, based on tokenisation, and synonym and abbreviation tables, to extract the concepts hidden within them.  ...  Complex Match Discovery -Our Approach The architecture of the approach for complex match discovery is shown in Figure 2 .  ... 
doi:10.1007/978-3-642-05148-7_30 fatcat:jykcgel5zra2nmvif5inkfwz3u

Implicit Context-aware Learning and Discovery for Streaming Data Analytics [article]

Kin Gwn Lore, Kishore K. Reddy
2019 arXiv   pre-print
In this study, we propose an online-learning algorithm involving the use of a neural network-based autoencoder to identify contextual changes during training, then compares the currently-inferred context  ...  The performance of machine learning model can be further improved if contextual cues are provided as input along with base features that are directly related to an inference task.  ...  CONCLUSIONS In this paper, we proposed a novel online-learning algorithm that generates new contextual identifier to aid learning of classification tasks under context or concept drifts.  ... 
arXiv:1910.08438v1 fatcat:rx7p7wpflzewznfxoaitnjidnq

Combining self-organisation, context-awareness and semantic reasoning

Graeme Stevenson, Juan Ye, Simon Dobson, Danilo Pianini, Sara Montagna, Mirko Viroli
2013 Proceedings of the 28th Annual ACM Symposium on Applied Computing - SAC '13  
Building on earlier work that outlined a novel semantics-based approach to resource discovery in such environments, this paper provides a general solution to incorporating application-specific contextual  ...  factors into the resource discovery process, and proposes a mechanism to support the runtime evolution of resource discovery tasks in a mobile setting.  ...  Self-organising, Context-and Semanticsaware Resource Discovery Building upon the above concepts, we now introduce the key steps in our approach to self-organising, context-and semanticsaware resource discovery  ... 
doi:10.1145/2480362.2480619 dblp:conf/sac/StevensonYDPMV13 fatcat:vnai5hb5h5e37kcl62xuwbgrl4

Towards a Context-Aware Service Directory [chapter]

Christos Doulkeridis, Efstratios Valavanis, Michalis Vazirgiannis
2003 Lecture Notes in Computer Science  
In this paper we propose a context-aware service directory and we investigate the process of service discovery with respect to contextual information.  ...  We adopt the MOEM model for representing contextual information within the service directory and we try to improve the performance of searching.  ...  Nevertheless, discovery mechanisms are rather limited and categorization is achieved through the use of Slots, a similar concept to tModels.  ... 
doi:10.1007/978-3-540-39406-8_5 fatcat:4gahd6lynrgknglvmkujyjgs4y

Concept lattice based composite classifiers for high predictability

Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong Li Lee
2002 Journal of experimental and theoretical artificial intelligence (Print)  
Concept lattice model, the core structure in Formal Concept Analysis, has been successfully applied in software engineering and knowledge discovery.  ...  CLNB integrates the Naïve Bayes base classifier into concept nodes while CLNN incorporates the Nearest Neighbor base classifier into concept nodes.  ...  Section 3 presents our algorithm framework for embedding simple classifier into concept node of concept lattice.  ... 
doi:10.1080/09528130210164206 fatcat:yw3lajryyjdjzgyl2vso6ybrvq

Introduction to the special issue on dynamic networks and knowledge discovery

Céline Rouveirol, Ruggero G. Pensa, Rushed Kanawati
2017 Machine Learning  
This special issue is the follow-up of the second Dynamic Networks and Knowledge Discovery workshop (DyNaK) 1 that was held in conjunction to ECML-PKDD 2014 at Nancy on September 15th 2014.  ...  mining, and it has led to the development of recent innovative techniques that consider complex/multi-level networks, time-evolving graphs, heterogeneous information (nodes and links), requiring scalable algorithms  ...  Finally, in the article Tiles: an online algorithm for community discovery in dynamic social networks, Rossetti et al. propose an algorithm that extracts overlapping communities and tracks their evolution  ... 
doi:10.1007/s10994-017-5655-3 fatcat:hkefaa476jgtbb5qgbn77nggy4

A New Approach for Service Discovery and Prediction on Pervasive Information System

Salma Najar, Manuele Kirsch Pinheiro, Carine Souveyet
2014 Procedia Computer Science  
In order to reach transparency and proactivity necessary for successful PIS, new discovery and prediction mechanisms are necessary.  ...  In this paper, we propose a new user-centric approach for service discovery and prediction on PIS based on both user's context and intentions.  ...  It is based on a semantic service description and on a semantic matching algorithm. The goal of this algorithm is to rank the available services based on their contextual and intentional information.  ... 
doi:10.1016/j.procs.2014.05.443 fatcat:rtn6kn5f7fbanho4slpp2hbtse

Hive open research network platform

Jung Hyun Kim, Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino
2013 Proceedings of the 16th International Conference on Extending Database Technology - EDBT '13  
In its core, Hive leverages dynamically evolving knowledge structures, including user connections, concept maps, co-authorship networks, content from papers and presentations, and contextual knowledge  ...  Hive provides the following online integrated services: a) understanding the personal activity context through access patterns and analysis of user supplied content, b) context-aware resource discovery  ...  Concept map personalizati and • Learn key concepts to bootstrap concept map from a given set of contextually-relevant documents on services Peer network services • Select peer network • Locate similar  ... 
doi:10.1145/2452376.2452466 dblp:conf/edbt/KimCCS13 fatcat:smd6yntfazfpvm5hzy32izvua4

Mobile services discovery framework using DBpedia and non-monotonic rules

Nasredine Cheniki, Abdelkader Belkhir, Yacine Atif
2016 Computers & electrical engineering  
This approach enables a semantic-based matching process using the resources, concepts and categories of DBpedia, as well as a ranking mechanism using non-monotonic rules to allow users defining alternative  ...  Experimental results show that our mobile service discovery framework provides high levels of recall and precision performances.  ...  After retrieving resource r concepts and using get concepts of resource and services concepts using get annotation concepts respectively, fist score is calculated using Tversky function (algorithm 3).  ... 
doi:10.1016/j.compeleceng.2016.02.016 fatcat:rke7jwpvkjc3lcqzyp7cvj632m
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