Semantic Networks to Support Learning
نویسنده
چکیده
This article illustrates Conceptual Graph networks representing the content of courses to help students understand, relate, compare, memorize and retrieve many of their concepts. It shows that the ontology of WebKB-2 and its FL notation could be exploited by lecturers to create normalized representations in a scalable way and relatively quick way. They also permit the students to complement these representations, thus providing lecturers with ways to test the students' understanding and analytical skills. Very strong mechanisms supporting semantic checking, cooperation support and normalization need to be implemented for the approach to be successful. Current semantic wikis and knowledge servers (WebKB-2 included) are far from fulfilling such constraints.
منابع مشابه
Small-world Structure in Children’s Featured Semantic Networks
Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns. Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 1...
متن کاملWord clustering effect on vocabulary learning of EFL learners: A case of semantic versus phonological clustering
The aim of this study is to determine the effect of word clustering method on vocabulary learning of Iranian EFL learners through a case of semantic versus phonological clustering. To this effect, 80 homogeneous students from four intermediate classes at an English institute in Torbat e Heydariyeh participated in this research. They were assigned to four groups according to semantic versus phon...
متن کاملThe Effect of Semantic Mapping as a Vocabulary Instruction Technique on EFL Learners with Different Perceptual Learning Styles
Traditional and modern vocabulary instruction techniques have been introduced in the past few decades to improve the learners’ performance in reading comprehension. Semantic mapping, which entails drawing learners’ attention to the interrelationships among lexical items through graphic organizers, is claimed to enhance vocabulary learning significantly. However, whether this technique suits all...
متن کاملCombining pattern recognition and deep-learning-based algorithms to automatically detect commercial quadcopters using audio signals (Research Article)
Commercial quadcopters with many private, commercial, and public sector applications are a rapidly advancing technology. Currently, there is no guarantee to facilitate the safe operation of these devices in the community. Three different automatic commercial quadcopters identification methods are presented in this paper. Among these three techniques, two are based on deep neural networks in whi...
متن کاملThe Effect of Using Visual Aids, Semantic Elaboration, and Visual Aids plus Semantic Elaboration on Iranian Learners' Vocabulary Learning
This study investigated the effect of using visual aids, semantic elaboration, and visual aids plus semantic elaboration on the Iranian EFL learners' vocabulary learning. To conduct the study, the researchers assigned 49 elementary learners to three homogeneous groups according to their proficiency level. Then, a pre-test of Paribakht and Wesche's Vocabulary Knowledge Scale was given to each gr...
متن کاملOrganizational Learning and Knowledge Spillover in Innovation Networks: Agent-Based Approach (Extending SKIN Framework)
In knowledge-based economy, knowledge has a public good and non-rivalry nature. Firms build their own knowledge stock not only by means of internal R&D and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). Firms based on their absorptive capacity, and level of intra-industry and extra-indus...
متن کامل