Semantic unification during sentence comprehension has been associated with amplitude change of the N400 in event-related potential (ERP) studies, and activation in the left inferior frontal gyrus (IFG) in functional magnetic resonance imaging (fMRI) studies. However, the specificity of this activation to semantic unification remains unknown. To more closely examine the brain processes involved in semantic unification, we employed simultaneous EEG-fMRI to time-lock the semantic unification related N400 change, and integrated trial-by-trial variation in both N400 and BOLD change beyond the condition-level BOLD change difference measured in traditional fMRI analyses. Participants read sentences in which semantic unification load was parametrically manipulated by varying cloze probability. Separately, ERP and fMRI results replicated previous findings, in that semantic unification load parametrically modulated the amplitude of N400 and cortical activation. Integrated EEG-fMRI analyses revealed a different pattern in which functional activity in the left IFG and bilateral supramarginal gyrus (SMG) was associated with N400 amplitude, with the left IFG activation and bilateral SMG activation being selective to the condition-level and trial-level of semantic unification load, respectively. By employing the EEG-fMRI integrated analyses, this study among the first sheds light on how to integrate trial-level variation in language comprehension.
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Information about a research study on how data science and artificial intelligence can contribute to modern education aimed at identifying and developing talents of students. Het verslag is gepubliceerd onder de titel: Future skills of journalists and artificial intelligence in education
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Teacher education enables students to grow from ‘novice’ into ‘starting expert’ teachers. In this study, students’ textual peer feedback on video recordings of their teaching practice was analysed to determine the growth of their expertise in relation to blended curriculum design. The degree to which curriculum and literature influenced their feedback was assessed by semantic network analysis of prominent words from the literature that was studied, as well as the lexical richness andsemantic cohesion of students’ peer feedback and reflections. The lexical richness and the semantic cohesion increased significantly by the end of the semester. This means that students incorporated new vocabulary and maintained semantic consistency while using the new words. Regarding the semantic network analysis, we found stronger connections between the topics being discussed by the students at the end of the semester. Active use of video and peer feedback enhances students’ activeknowledge base, thus furthering effective teaching.
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Purpose: The purpose of this paper is to examine the motives and emotions of Western tourists visiting Tuol Sleng Genocide Prison Museum in Phnom Penh, Cambodia and further contribute to a deeper understanding of the dark tourism consumption. Design/methodology/approach: Data were collected from popular travel blog sites. This study employs various qualitative and quantitative methods, such as netnography, semantic network analysis and critical content analysis in order to gain a deeper insight into the visitors’ emotions and motivations. Findings: This study reveals that people visit Tuol Sleng Genocide Museum mainly for “remembrance”, “worth visiting”, “learning and understanding”, “paying respect” and a “must visit” attraction. Emotions revealed in this study were “shocking“, “sadness“, “horror” and “depressive”. Research limitations/implications: This paper is limited to the analyses of travel blogs sites. Further research could include interviews with Western visitors, and professionals managing the site. Originality/value: To the best of the knowledge, this is the first study to examine the emotions of visitors in Tuol Sleng Genocide Museum.
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The purpose of this paper is to perform a metaphorical analysis of knowledge as energy. This paper is based on a theoretical research concerning the nature, perception, basic laws and challenges brought up by these fundamental concepts of knowledge and energy. The metaphorical analysis of knowledge and intellectual capital has been initiated by Daniel Andriessen and his findings have been presented in several seminal works (Andriessen, 2006; 2008; Andriessen and Boom, 2007). In his work, Andriessen concluded we need to find new metaphors for knowledge. In our theoretical research we shall consider the knowledge as energy metaphor, with energy as the source domain, and knowledge as the target domain, and we are interested in identifying the metaphorical semantic kernel and the limitations of this analysis. The semantic kernel contains: (1) the concept of field as a nonuniform and nonlinear distribution of knowledge; (2) dynamics of potential and kinetic forms of manifestations; (3) dynamics of work and heat, and (4) entropy and syntropy process characteristics. Limitations of this analysis come from the conservation laws of energy transformation which cannot be applied to the knowledge domain.
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From the introduction: "There are two variants of fronto-temporal dementia: a behavioral variant (behavioral FTD, bvFTD, Neary et al. (1998)), which causes changes in behavior and personality but leaves syntax, phonology and semantics relatively intact, and a variant that causes impairments in the language processing system (Primary Progessive Aphasia, PPA (Gorno-Tempini et al., 2004). PPA can be subdivided into subtypes fluent (fluent but empty speech, comprehension of word meaning is affected / `semantic dementia') and non-fluent (agrammatism, hesitant or labored speech, word finding problems). Some identify logopenic aphasia as a FTD-variant: fluent aphasia with anomia but intact object recognition and underlying word meaning."
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Information about a research study on how data science and artificial intelligence can contribute to modern education aimed at identifying and developing talents of students. De presentatie is gepubliceerd onder de titel: Future skills : and whre to find them?
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Hoofdstuk 2 gaat over peer en professionele online support voor ouders bij het opvoeden. In totaal bevat het boek 31 hoofdstukken over sociaal netwerken, geschreven door tientallen onderzoekers wereldwijd.
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Logopedisten en klinisch linguïsten onderzoeken de taalontwikkeling van jonge kinderen met een vermoedelijke of al vastgestelde taalontwikkelingsstoornis. Ze onderzoeken ook de taalvaardigheid van personen met afasie. Naast gestandaardiseerde tests worden samples spontane taal geanalyseerd. Hiervoor worden uitingen ontlokt aan de patiënten via vaste protocollen. De sessies worden opgenomen, getranscribeerd en vervolgens grammaticaal geanalyseerd. Bij de grammaticale analyse wordt bepaald welke soorten constructies en fouten voorkomen en in welke mate, en dit wordt vergeleken met een norm. Taal- en spraaktechnologie (TST) kan er in prin-cipe aan bijdragen om het proces van transcriptie en grammaticale analyse efficiënter te maken en mogelijk zelfs om de kwaliteit van de assessments te verhogen. In dit artikel richten we ons op de mogelijkheden van TST voor de analyse van kindertaal.
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The main goal of this study was to investigate if a computational analyses of text data from the National Student Survey (NSS) can add value to the existing, manual analysis. The results showed the computational analysis of the texts from the open questions of the NSS contain information which enriches the results of standard quantitative analysis of the NSS.
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