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The Role of Domain Knowledge in Search as Learning

O'Brien, Heather, 1977-, Andrea Kampen, Amelia Cole, Kathy Brennan
2021
The purpose of this paper is to explore the differences in learning outcomes between domain experts and non-experts interacting with a digital library.  ...  General searchers wrote longer summaries than domain experts, but there were no significant differences in the learning outcomes between the two groups.  ...  Conclusion This study aims to better understand the role of domain expertise in learning outcomes.  ... 
doi:10.14288/1.0398725 fatcat:iif5ezgtuva6jiiryrkn42a644

Self-study in learning foreign language

D Dauletova, G Dauletbaeva
2022 Ренессанс в парадигме новаций образования и технологий в XXI веке  
The use of technology has received increasing recognition as a means capable of bridging formal and informal settings in the target language learning and enabling students to actively and effectively use  ...  technology both inside and outside the classroom.  ...  After all, in the course of learning a second or foreign language, learners are at the center of learning and play an instrumental role in shaping outcomes of their learning experiences.  ... 
doi:10.47689/innovations-in-edu-vol-iss1-pp191-193 fatcat:tonl3kicszdqrnp54zer4hbz4m

Examining and Supporting Laypeople's Learning in Online Health Information Seeking

Yu Chi
2019 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval - CHIIR '19  
While learning clearly plays an important role in the HIS process, there has been little research in this area.  ...  The results of this phase of the study will be used to guide the following analysis and predict laypeople's knowledge levels in the HIS process and provide corresponding support.  ...  The Participants reported that knowledge plays a critical role in their HIS experience, as lack of knowledge is a major difficulty.  ... 
doi:10.1145/3295750.3298975 dblp:conf/chiir/Chi19 fatcat:cykflykn7zh7xg7go72g5jkwxe

Integrating models of knowledge and Machine Learning [chapter]

Jean-Gabriel Ganascia, Jérôme Thomas, Philippe Laublet
1993 Lecture Notes in Computer Science  
This paper shows how the input of a Machine Learning system can be mapped to the model of expertise as it is used in KADS methodology. The notion of learning bias will play a central role.  ...  Doing this conceptual mapping, we give a semantics to most of the inputs of Machine Learning programs in terms of knowledge acquisition models.  ...  A metaclass (or a role) describes the role of domain entities in the problem-solving process and it is linked to the domain concepts which fulfil this role.  ... 
doi:10.1007/3-540-56602-3_157 fatcat:3az45ppzknbcppr457dgj4yvmu

An Ontology in Project Management Knowledge Domain

T. Sheeba, Reshmy Krishnan, M. Justin Bernard
2012 International Journal of Computer Applications  
Ontology has the potential to play an important role in representing an area of knowledge.  ...  This ontology aims to facilitate the search for learning materials within the given domain.  ...  Also, this ontology aims to facilitate the search for learning materials within the given domain.  ... 
doi:10.5120/8884-2881 fatcat:4p3ut7zwz5d6bm274ux3pup7li

An Ontological Approach to Support Personalized E-Learning System

Kalla MadhuSudhana, V. Cyril Raj, K. T. Sikamani
2013 International Journal of Computer Applications  
The learner-model and domain-model plays an important role for delivering personalized learning material to learner.  ...  Learners who use educational applications need to get suitable learning material in their concerned domain. However, their level of knowledge, preferences and interests are different.  ...  In e-learning systems the learner preferences from the perspective of learning domain and educative support information, plays an important role to implement successful educational applications.  ... 
doi:10.5120/9897-4475 fatcat:zdgfusccfjf47ie5gil3464uby

A Framework for the Generation of Adaptive Courses Based on Semantic Metadata

Freddy Duitama, Bruno Defude, Amel Bouzeghoub, Claire Lecocq
2005 Multimedia tools and applications  
In this way, it is possible both searching components developing concepts not appearing in the user query but related with user goals and inferring user knowledge that is not explicit in user model.  ...  Our approach proposes the creation and management of adaptive learning systems by combining component technology, semantic metadata, and adaptation rules.  ...  At learning time, for each couple (domain-concept, role) from Content of C k : f(A) adds <domain-concept, role, new-knowledge-level> in UM or FAIL.  ... 
doi:10.1007/s11042-005-6541-8 fatcat:njwstqo6ibc2rinrp4mrjt63le

A General Introspective Reasoning Approach to Web Search for Case Adaptation [chapter]

David Leake, Jay Powell
2010 Lecture Notes in Computer Science  
The second extension applies reinforcement learning to the problem of selecting knowledge sources to mine, in order to manage the exploration/exploitation tradeoff for system knowledge.  ...  The benefits and generality of these extensions are assessed in evaluations applying them in three highly different domains, with encouraging results.  ...  We are currently studying processing time behavior and the role of search case retention strategies in reducing search time [21] .  ... 
doi:10.1007/978-3-642-14274-1_15 fatcat:nlf4ly5kjja6tk7ig6qji5evbm

Learning to improve case adaptation by introspective reasoning and CBR [chapter]

David B. Leake, Andrew Kinley, David Wilson
1995 Lecture Notes in Computer Science  
We describe the tenets of the approach and the types of knowledge it requires. We s k etch initial computer implementation, lessons learned, and open questions for further study.  ...  The ability to de ne those rules depends on knowledge of the task and domain that may not be available a priori, presenting a serious impediment to endowing CBR systems with the needed adaptation knowledge  ...  In contrast, using case-based reasoning as the learning method for adaptation knowledge makes it possible for learned knowledge to re ect the idiosyncrasies of the memory's organization and its contents  ... 
doi:10.1007/3-540-60598-3_21 fatcat:ysrolg6fc5eptpo2sfdjyz2yte

Supporting Formal and Informal Learning through Domain Ontologies

Paola Monachesi
2012 International Journal of e-Education, e-Business, e-Management and e-Learning  
One of the objectives of the Language Technology for LifeLong Learning project is to develop services that facilitate learners and tutors in accessing formal and informal knowledge sources.  ...  Ontologies are central to the knowledge discovery process and they facilitate reuse of course material through semantic search of annotated learning objects, supporting thus formal and informal learning  ...  The learner needs to acquire at least two kinds of knowledge in his learning path: the domain knowledge and the skills necessary to apply the domain knowledge in a community of practice.  ... 
doi:10.7763/ijeeee.2012.v2.92 fatcat:xrtl6qj4ifcxjmwpyfphfwvvcm

A Study on Ontology Application Scenarios in e-Learning Domain

Kalla Madhusudhana
2017 International Journal of Computer Applications  
However, searching appropriate learning resources for a learner from a large number of heterogeneous knowledge sources is a tedious task.  ...  Finally we proposed the different strategies to be considered while developing ontologies in management, presentation and retrieval of the material in elearning domain.  ...  Ontologies have the potential to play an important role in representing knowledge about content to support learners in accessing content in a knowledge-guided way.  ... 
doi:10.5120/ijca2017916015 fatcat:4djvrdlodzd4ziu2etuw42dtki

Searching for representations to improve protein sequence fold-class prediction

Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam
1995 Machine Learning  
The methods developed in this domain are generalized into a framework that suggests several systematic roles for domain knowledge in machine learning.  ...  Learning in such domains can be improved by using domain knowledge to search for representations that better match the inductive bias of a preferred algorithm.  ...  We would like to thank the National Center for Supercomputing Applications for providing computational resources. We would also like to thank the anonymous Machine Learning reviewers.  ... 
doi:10.1007/bf00993383 fatcat:eme2piyf3je4tokesz4spcilg4

Learning Materials Representation for Interoperability in Heterogeneous Environment

2020 International Journal of Advanced Trends in Computer Science and Engineering  
This paper proposes using semantic web technologies and specially ontology in adaptive modeling of the learning resources to select the suitable material to the right learner in heterogeneous environment  ...  So, we need a way to enable automatic selection and compilation of these learning resources and adapt them to the target learner within these heterogeneous environments.  ...  [19] presented the role of semantic web in the design, exchange, and storage of LOs, to enable the search and share of these LOs.  ... 
doi:10.30534/ijatcse/2020/14952020 fatcat:uf5hdpy32zf6zf7evxaahjwsuu

Using Semantic Patterns in Web Search and Assessment of Professionally Oriented Texts in a Foreign Language for Training Students in Higher Education Institutions of Mineral Resource Profile

Yuliya Murzo, Natalia Chuvileva, Aleksandra Schetinina
2022 International Journal of Emerging Technologies in Learning (iJET)  
, for teaching and learning in a chosen direction.  ...  within the mineral resources development domain.  ...  The criterion is defined as the percentage of terms present in a found text in relation to the number of those listed in the domain tem- plate.  ... 
doi:10.3991/ijet.v17i05.28231 fatcat:b7aeju2tcbb2blw7lnlwfpme5u

Knowledge Graphs and Knowledge Networks: The Story in Brief [article]

Amit Sheth, Swati Padhee, Amelie Gyrard
2020 arXiv   pre-print
The evolution of search engine responses to user queries in the last few years is partly because of the role of KGs such as Google KG.  ...  Knowledge Graphs (KGs) represent real-world noisy raw information in a structured form, capturing relationships between entities.  ...  Utilization of prior knowledge will aid in supervising the learning of features and brings in explainability.  ... 
arXiv:2003.03623v1 fatcat:zle7g626mzeqrkmobgrr6xtfae
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