MARC

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022 |a 2048-8890 
035 |a 2081763186 
045 2 |b d20180701  |b d20180731 
084 |a 183534  |2 nlm 
100 1 |a Ngwenya, Sibangiso 
245 1 |a An Ontology-Based E-Learning Assessment System for Online Learners in Higher Learning Institutions 
260 |b Academic Conferences International Limited  |c Jul 2018 
513 |a Journal Article 
520 3 |a Learning is a process of acquiring knowledge and skills in a particular domain of interest. This process, though continuous in one's life, ends with formative or summative assessment, in specific domain. In higher learning institutions, learning is acquired mostly through reading, experiments, observation, discussion, collaboration, lecturing etc, where sources of information play a fundamental roll. Repositories of learning resources are made available to students through portals that are integrated into e-learning management systems. Observations have showed that students are interested in these learning resources so that through utilising them they can acquire knowledge and skills, a part that is fundamental for one to be described as learned. The paper delves on the development and implementation of an ontology based innovative e-learning system with regard to acquisition of knowledge and skills by online learners at higher learning institutions set up where only core learner activities are identified. An e-learning ontology is used to model a domain of knowledge, thus complementing the functionalities of other learning systems that do not implement this technology. The paper presents assessment of students using assignments with instant feedback on the performance of the students following a Student-Teacher interaction algorithm (STia). The system is developed following creative design methodology and tested with the undergraduate students in the department of Computer Science at the National University of Science and Technology (NUST) in Zimbabwe. Empirical results are given with regard to the strengths and weaknesses of the system as seen by the users. Recommendations to higher learning institutions in terms of policy, e-learning technologies and utilisation of e-learning systems are given. 
653 |a International conferences 
653 |a Problem solving 
653 |a Teaching 
653 |a Research 
653 |a Web 2.0 
653 |a Students 
653 |a Collaboration 
653 |a Computer science 
653 |a Ontology 
653 |a Skills 
653 |a Learning management systems 
653 |a Semantic web 
653 |a Distance learning 
653 |a Teachers 
653 |a World Wide Web 
653 |a Technology assessment 
653 |a On-line systems 
653 |a Online instruction 
653 |a Repositories 
653 |a Knowledge acquisition 
653 |a Resource Description Framework-RDF 
653 |a Semantics 
653 |a Colleges & universities 
653 |a Training 
653 |a Knowledge management 
653 |a Learning Analytics 
653 |a Course Descriptions 
653 |a Learning Activities 
653 |a Undergraduate Students 
653 |a Educational Development 
653 |a Educational Resources 
653 |a Learning Processes 
653 |a Educational Technology 
653 |a Electronic Learning 
653 |a Educational Environment 
700 1 |a Mangena, Sikhulumani Bayeza 
700 1 |a Chilumani, Khesani Richard 
773 0 |t International Conference on e-Learning  |g (Jul 2018), p. 285 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2081763186/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/2081763186/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2081763186/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch