GELCO: Gamified Educational Learning Contents Ontology

Higher education students and teachers lack the necessary information to monitor and analyse student performance with respect to the learning experience and autonomous work during the semester. This research is based on the need for continuous improvement of student learning monitoring for students and teachers. It aims to combine ontologies with a monitoring platform, creating new ways of structuring and visualizing the elements of a course unit, of mapping and visualizing the dependencies between taught concepts and coursework, enabling the inference of new knowledge. The Gamified Educational Learning Contents Ontology (GELCO) was designed to define educational concepts and respective relations. A Syllabus Content Mindmap was developed within the Learning Scorecard, an academic performance management platform based on Business Intelligence and Gamification, taking advantage of the knowledge from GELCO. The ontology was successfully evaluated with competency questions, and students found the mindmap visualization useful and valuable for their academic performance monitoring

The Integrated Knowledge Space - the Foundation for Enhancing the Effectiveness of the University’s Innovative Activity

The paper examines the implementation of Integrated Knowledge Space as an effective method for knowledge management in a global university network which will integrate all interested parties of the educational space: the faculty, scholars and business people within the framework of distributed departments on the basis of Information Centre of Disciplines (ICD). ICD enables higher education institutions to accumulate and make on-line renewal of knowledge for teaching and learning processes and for enhancing innovation potential. ICD facilitates the development of human and relational capital of integrated and interconnected educational, research and business communities.Intellectual capital, Knowledge Management, Knowledge Park, Integrated Knowledge Space, Information Centre of Disciplines

About Ontology Application to the Description of Syllabus

Publication describes the experience in application of ontology technique to structuring of educational materials. Several topics of physics were formalized by means of Protégé software tool. Some principal problems in building of knowledge structure were found, so the discussion may interest not only ontology users, but also the developers of ontology tools

Judith Butler's Critique of Binary Gender Opposition in Gender Trouble: A Task-Based Lesson Sequence

This chapter presents a task-based lesson sequence based on Judith Butler's Gender Trouble. Gender Trouble is a great piece of philosophical literature. However, as philosophical literature is a genre rarely found in EFL teaching, this chapter first demonstrates in detail the merits of this genre for the teaching ofEnglish for Academic Purposes. After a brief analysis of the source text, which deconstructs the entire sex-gender link and presents both sex and gender as free-floating, this chapter presents task-based methodology and how it is utilized in a lesson aimed at building gender awareness and acceptance. In the target task students are asked to take the role of an ethics teacher at an Irish high school, in which the discussion arose whether the school should introduce unisex toilets and changing rooms in order to not discriminate against transsexual students. Tue study of Butler's philosophy will provide students with both the knowledge and language to accomplish this task. Open follow-up discussions often lead to powerful ethical insights in the context of gender, homo- and transsexuality

Ontology reasoning using SPARQL query: A case study of e-learning usage

The involvement of learning pedagogy towards implementation of e-learning contribute to the additional values, and it is assign as a benchmark when the investigation and evaluation will carry out. The results obtained later believed would be fit to the domain problem.The results might provide instructional theories including recommendation after reasoning that can be used to improve the quality of teaching and learning in the virtual classroom. Ontology as formal conceptualization has been chosen as research methodology. Ontology conceptualization helps to illustrate the e-learning usage including activities and actions, likewise learning pedagogy in the form of concepts, class, relationships and instances. The ontology constructed in this paper is used in conjunction with the SPARQL rules, which are designed to test the reasoning ability of ontology. Reasoning results should be able to describe the knowledge contained in ontology, as well the facts on it. The SPARQL rules contains triplets to verify if the students are actively engaged in a meaningful way towards e-learning usage. The backward engine is optimized to store the facts obtained from queries. Development of ontology knowledge based and reasoning rules with SPARQL queries allow to contribute a sustainable competitive advantages regarding the e-learning utilization. Eventually, this research produced a learning ontology with reasoning capability to get meaningful information

The Knowledge Graph Construction in the Educational Domain: Take an Australian School Science Course as an Example

The evolution of the Internet technology and artificial intelligence has changed the ways we gain knowledge, which has expanded to every aspect of our lives. In recent years, Knowledge Graphs technology as one of the artificial intelligence techniques has been widely used in the educational domain. However, there are few studies dedicating the construction of knowledge graphs for K-10 education in Australia, and most of the existing studies only focus on at the theory level, and little research shows practical pipeline steps to complete the complex flow of constructing the educational knowledge graph. Apart from that, most studies focused on concept entities and their relations but ignored the features of concept entities and the relations between learning knowledge points and required learning outcomes. To overcome these shortages and provide the data foundation for the development of downstream research and applications in this educational domain, the construction processes of building a knowledge graph for Australian K-10 education were analyzed at the theory level and implemented in a practical way in this research. We took the Year 9 science course as a typical data source example fed to the proposed method called K10EDU-RCF-KG to construct this educational knowledge graph and to enrich the features of entities in the knowledge graph. In the construction pipeline, a variety of techniques were employed to complete the building process. Firstly, the POI and OCR techniques were applied to convert Word and PDF format files into text, followed by developing an educational resources management platform where the machine-readable text could be stored in a relational database management system. Secondly, we designed an architecture framework as the guidance of the construction pipeline. According to this architecture, the educational ontology was initially designed, and a backend microservice was developed to process the entity extraction and relation extraction by NLP-NER and probabilistic association rule mining algorithms, respectively. We also adopted the NLP-POS technique to find out the neighbor adjectives related to entitles to enrich features of these concept entitles. In addition, a subject dictionary was introduced during the refinement process of the knowledge graph, which reduced the data noise rate of the knowledge graph entities. Furthermore, the connections between learning outcome entities and topic knowledge point entities were directly connected, which provides a clear and efficient way to identify what corresponding learning objectives are related to the learning unit. Finally, a set of REST APIs for querying this educational knowledge graph were developed

Ontology-based Course Teacher Assignment within Universities

Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within these institutions aims to reduce human action and replace it with automatic devices interactions. To have the full benefit from these data and use it within the modern systems, they have to be readable and understandable by machines. Those data and knowledge with semantic descriptions make an easy way to monitor and manage decision processes within universities to solve many educational challenges. In this study, an educational ontology is developed to model the semantic courses and academic profiles in universities and use it to solve the challenge of assigning the most appropriate academic teacher to teach a specific course

Communicative language teaching and the ELT Journal : a corpus-based approach to the history of a discourse

Despite recent challenges, CLT remains influential and continues to be implemented in a number of contemporary ELT contexts. This project represents an attempt to investigate the history of CLT as a means of gaining a clearer understanding of its main principles and ideas. The investigation aims to identify some key concepts in the discourse of the ELT Journal over the period when the communicative approach is believed to have emerged. Two consecutive periods are studied; an earlier (1973 to 1981) phase when the journal was edited by W.R. Lee, and a later (1981 to 1986) period under Richard Rossner. The project makes use of two separate keyword “traditions” to examine words that play an important role in the discourse of the journal. Firstly, a machine-based, corpus procedure was carried out, using the collections of articles as a kind of corpus. Later, a more thorough, detailed keyword analysis was undertaken, borrowing from the techniques pioneered by Raymond Williams, in which the histories of individual words are traced chronologically across texts. Chapter One, the literature review, presents a rationale for the project and the use of history to illuminate our understanding of CLT. It carries out a review of the existing body of literature covering the emergence of the approach and suggests a more systematic and thorough-going historical approach based on primary sources is now needed. Chapter Two describes the process by which I assembled the methods and tools necessary to carry out the analysis. Chapter Three describes the project procedure itself, explaining the decisions made, and processes arrived at, to carry out the investigation. Chapter Four presents the first phase of the project’s findings. Quantitative keyword lists are presented and briefly discussed in relation to existing accounts. Chapters Five, Six, Seven, Eight, and Nine are “word histories” for the keywords COMMUNICATIVE, LEARNER, ACTIVITY, TASK and SYLLABUS, respectively. Using the findings from Chapter Four as a starting point, each chapter traces the history of an important keyword across the chronological period of the corpus, recontextualising data isolated by the quantitative keyword procedure. Chapter Ten is the project’s discussion and conclusion