Effects of Using Multimodal Glosses in Video Games to Enhance Incidental Vocabulary Learning and Retention

Given the crucial role of vocabulary knowledge in language development, the literature is replete with studies that explore the effects of various vocabulary learning strategies. This chapter taps into two areas of research on vocabulary learning, multimodal glossing and digital gaming, and reports on an experimental study whose aim was to investigate the effect of providing EFL students (n=162) with three gloss conditions (L1 test + picture, L2 text + picture, and picture-only) when they play a video game on their vocabulary acquisition and retention. The students took two vocabulary tests immediately after playing the game, and again two weeks later. The findings revealed that while all groups benefited from multimodal glossing, the L1 text + picture gloss group significantly performed better than the other two groups in the acquisition and retention of the targeted words. The chapter concludes by discussing the limitations of the current study and suggesting new directions for future research.

Forgetting tracked by recognition of pictures

Thirty-three participants viewed 1,000 pictures for 6 s each. Recognition was tested after 10 different intervals of time by mixing 100 of the original 1,000 with 100 new pictures. Participants judged each test picture “Old” or “New” on a 6-point scale. The unequal-variance recognition model is reinterpreted to estimate the probability of retrieval of an original (1,000) picture after each lapse of time. A second model then relates those different estimates of accessibility to the lapse of time, taking into account the interference on each test from pictures presented in preceding tests. Studies of category judgement explain (a) why the model distributions are normal, (b) why the operating characteristics are asymmetric, (c) why they are curvilinear, and (d) why the asymmetry decreases with lapse of time, this to justify a particular estimate of accessibility (probability of retrieval). Nine candidate functions are shown to the accessibilities. The underlying relation is a power law, but the exponent is poorly determined by the data (−1.5, −0.5), as also is the offset from the temporal origin. Comparisons with previous work identify two different relationships with respect to lapse of time: The retrieval of a unique image shows an approximately reciprocal loss, whereas a decrease in the amount of material reproduced by recall, recognition, or other method is approximately logarithmic. The present experiment exhibits both relationships, depending on whether specific account is taken of the effects of interference or, alternatively, interference is entirely ignored.

Automate Identification and Recognition of Handwritten Text from an Image

Handwritten text acknowledgment is yet an open examination issue in the area of Optical Character Recognition (OCR). This paper proposes a productive methodology towards the advancement of handwritten text acknowledgment frameworks. The primary goal of this task is to create AI calculation to empower element and information extraction from records with manually written explanations, with an, expect to distinguish transcribed words on a picture. The main aim of this project is to extract text, this text can be handwritten text or it can machine printed text and convert it into computer understandable or wNe can say computer editable format. To implement thais project we have used PyTesseract which is an open-sourcemOCR engine used to recognize handwritten text and OpenCV a library in python used to solve computer vision problems. So the input image is executed in various steps, first there is pre-processing of an image then there is text localization after that there is character segmentation and character recognition and finally we have post-processing of image. Further image processingalgorithms can also be used to deal with the multiple characters input in a single image, tilt image, or rotated image. The prepared framework gives a normal precision of more than 95 % with the concealed test picture.

METODE PICTURE AND PICTURE KARTU GRAFIK FUNGSI SEBAGAI MEDIA PEMBELAJARAN MATEMATIKA SISWA KELAS IX MADRASAH TSANAWIYAH NEGERI 1 LANGKAT

The results of classroom action research (PTK) show that the value acquisition has increased very well, where the results of this study use quantitative data analysis with 32 respondents from class IX-1 as samples, while data management uses the product moment formula and the t test. Picture And Picture function graph card as a medium for learning mathematics for grade IX students at Madrasah Tsanawiyah Negeri 1 Langkat, it can improve student learning outcomes in mathematics, this can be seen from the results of daily exams, the correlation of arithmetic results in the first cycle between pre-test scores (pre-test) with the block I test score of 0.798, and the t test of 7.262, and the correlation of the calculated results in the second cycle between the block I test score and the block II test score of 0.899, and the t test of 11.26, it can also increase student activity in mathematics This can be seen from the activity of students in participating in the mathematics learning process with a value of 88% attendance at the beginning of the action, increased to 95% attendance in the first cycle, and increased again to 100% attendance in the second cycle, because students enjoy making and playing graphic cards. Function, so that it is fun for students in learning mathematics. Keywords: Picture and Picture Method, Function Graphic Card, Mathematics Learning Media

Nomınal and Verbal Predıcate Use in Schızophrenıa

Objective. Schizophrenia’s first characteristics invokes the notion of disordered thought and language. Accordingly one of several diagnostic characteristics of schizophrenia is an impairment of verbal communication. To determine the detailed nature of language impairments taking into consideration these problems the aim of the present study was to analyze nominal and verbal predicate use produced by schizophrenic patients and control group during their speech as both predicates require different processings. Materials & Methods. Fifty patients with schizophrenia diagnosed according to DSM-IV criteria were included into the study and compared to fifty healthy subjects matched for age, sex and education level with the patients participated in the study. The subjects’ speech was evaluated by using picture description test, picture story telling test, subject-based narration test and free verbal narration test. The data consisted of 8–10 minute recorded interviews. The recordings were transcribed based on Du Bois’ Discourse Transcription Symbols and analyzed statistically and linguistically. Results. The results showed that the number of nominal and verbal predicates used by the patients with schizophrenia differed from the control group. Schizophrenia patients preferred nominal predicates more than control group in all tests. However, control group used significantly more verbal predicates in all tests. Conclusions. In this study it was hypothesized that language used by the patients with schizophrenia plays a central role in the this disease than commonly supposed and the phenomena of schizophrenic language can be regarded as reflections of a more basic disturbance of thought. At the end of the study based on this hypothesis patients were concluded to have simplified speech in addition to the disorganized speech defined in the field. The reason for this simplification is thought to be because of the predicate processing in the brain. The complement of a verb is always a noun phrase, which can be simple or complex, the patients tended to use nominal predicates more as it did not require any constituents and thus they simlified their speech because of their language and thought disorders.

Improved Classification of Fetal Abnormalities using Automated ABC ANFIS Classifier

Early determination of fetal irregularities can be performed utilizing a legitimate screening technique. The screening may at some point look as a thorough one for therapeutic specialists. Thus, mechanization with manual investigation gives better help to endoscopist in discovering the strange fetal pictures. In this paper, we consider a robotized order of fetal irregularities amid first trimester pregnancy period utilizing Artificial Bee Colony (ABC) and Hybrid ANFIS. At first, the picture is pre-prepared to expel the clamor and other appearance exhibit in crude picture dataset. In the second stage, an ABC calculation is utilized to section the picture into marks in light of district-based division. In the last stage, the picture names are grouped utilizing half and half ANFIS classifier, which utilizes marks from the past stage as its info. This robotized grouping model orders the phase of variation from the norm utilizing ground truth esteem. The proposed characterization display is tried with Substantial fetal test picture datasets and it is contrasted with existing calculations with demonstrating its adequacy in identifying the fetal anomalies.

Effects of Using Multimodal Glosses in Video Games to Enhance Incidental Vocabulary Learning and Retention

Given the crucial role of vocabulary knowledge in language development, the literature is replete with studies that explore the effects of various vocabulary learning strategies. This chapter taps into two areas of research on vocabulary learning, multimodal glossing and digital gaming, and reports on an experimental study whose aim was to investigate the effect of providing EFL students (n=162) with three gloss conditions (L1 test + picture, L2 text + picture, and picture-only) when they play a video game on their vocabulary acquisition and retention. The students took two vocabulary tests immediately after playing the game, and again two weeks later. The findings revealed that while all groups benefited from multimodal glossing, the L1 text + picture gloss group significantly performed better than the other two groups in the acquisition and retention of the targeted words. The chapter concludes by discussing the limitations of the current study and suggesting new directions for future research.

Metaphor Comprehension and Interpretation in Cleft Palate Children Aged 6–9

The level of metaphor comprehension and interpretation was investigated in a sample of children with cleft palate (CP), aged 6;0-8;11, and healthy controls matched with age, sex, socioeconomic status, and IQ level. The Wechsler Intelligence Scale for Children - Revised (WISC-R) was used to evaluate the children’s cognitive functioning, and the metaphor tests from a modified version of the Right Hemisphere Language Battery - Polish version (RHLB-PL) were used to assess comprehension of figurative language. The CP and control groups differed significantly in Verbal IQ values and in performance in the Vocabulary test, Comprehension test, Picture Metaphor Explanation test, and Written Metaphor Explanation test. In both metaphor explanation tests, children with CP gave fewer responses than controls. The results suggest no differences between children with CP and controls in understanding figurative language, although they point to weaker performance in communicating responses and producing statements in the CP children group.

Neural Activity in Monkey Prefrontal Cortex Is Modulated by Task Context and Behavioral Instruction during Delayed-match-to-sample and Conditional Prosaccade—Antisaccade Tasks

Complex behavior often requires the formation of associations between environmental stimuli and motor responses appropriate to those stimuli. Moreover, the appropriate response to a given stimulus may vary depending on environmental context. Stimulus-response associations that are adaptive in one situation may not be in another. The prefrontal cortex (PFC) has been shown to be critical for stimulus-response mapping and the implementation of task context. To investigate the neural representation of sensory-motor associations and task context in the PFC, we recorded the activity of prefrontal neurons in two monkeys while they performed two tasks. The first task was a delayed-match-to-sample task in which monkeys were presented with a sample picture and rewarded for making a saccade to the test picture that matched the sample picture following a delay period. The second task was a conditional visuomotor task in which identical sample pictures were presented. In this task, animals were rewarded for performing either prosaccades or antisaccades following the delay period depending on sample picture identity. PFC neurons showed task selectivity, object selectivity, and combinations of task and object selectivity. These modulations of activity took the form of a reduction in stimulus and delay-related activity, and a pro/anti instruction-based grouping of delay activity in the conditional visuomotor task. These data show that activity in PFC neurons is modulated by experimental context, and that this activity represents the formal demands of the task currently being performed.