scholarly journals Data Mining of Students’ Consumption Behaviour Pattern Based on Self-Attention Graph Neural Network

2021 ◽  
Vol 11 (22) ◽  
pp. 10784
Author(s):  
FangYao Xu ◽  
ShaoJie Qu
Keyword(s):  
Academic Performance ◽  
Spatial Information ◽  
Spatial Location ◽  
Behaviour Pattern ◽  
Mechanism Model ◽  
Consumption Data ◽  
Behavioural Patterns ◽  
Research Findings ◽  
Student’S Performance ◽  
Changes Over Time

Performance prediction is of significant importance. Previous mining of behaviour data was limited to machine learning models. Corresponding research has not made good use of the information of spatial location changes over time, in addition to discriminative students’ behavioural patterns and tendentious behaviour. Thus, we establish students’ behaviour networks, combine temporal and spatial information to mine behavioural patterns of academic performance discrimination, and predict student’s performance. Firstly, we put forward some principles to build graphs with a topological structure based on consumption data; secondly, we propose an improved self-attention mechanism model; thirdly, we perform classification tasks related to academic performance, and determine discriminative learning and life behaviour sequence patterns. Results showed that the accuracy of the two-category classification reached 84.86% and that of the three-category classification reached 79.43%. In addition, students with good academic performance were observed to study in the classroom or library after dinner and lunch. Apart from returning to the dormitory in the evening, they tended to stay focused in the library and other learning venues during the day. Lastly, different nodes have different contributions to the prediction, thereby providing an approach for feature selection. Our research findings provide a method to grasp students’ campus traces.

EFFECT OF FIXED FACILITATOR MODEL ON NCE TECHNOLOGY EDUCATION STUDENTS’ ATTITUDE AND ACADEMIC PERFORMANCE IN NIGER STATE

2020 ◽  
Vol 6 (2) ◽  
pp. 155-158
Author(s):  
CHARLES SAIDU TUKURA ◽  
Ibrahim Ismail Kuta
Keyword(s):  
Academic Performance ◽  
Technology Education ◽  
Total Population ◽  
College Of Education ◽  
Education Student ◽  
Colleges Of Education ◽  
Attitude Questionnaire ◽  
Education Students ◽  
Lecture Method ◽  
Student’S Performance

This study title Effect of fixed facilitator model on NCE Technology Education Students’Attitude and Academic Performance in Niger State, Nigeria. The study used quasiexperimental design. The total population was 942, while the sample size was 216educational technology from two colleges of Education in Niger State. The test instrumentdeveloped by the researcher for the study was the Student‘s Performance AssessmentInstrument (SPAI) and Technology Education Student Attitude Questionnaire (TESAQ)which contained 50 questions. The statistic used were t-test independent sample cumulativemean and the finding of the study standard deviation. The findings of the study revealed thatNCE students performed better when taught with fixed facilitator model compared to theircounter parts taught with lecture method. Based on the results obtained the researcherrecommended that: the instructors of Technology Education should endeavor to use fixedfacilitator model in teaching Technology Education in college of education.

Mathematics Grade as Correlate to Performance in the National Achievement Test

2020 ◽  
Vol 8 (1) ◽  
pp. 31-41
Author(s):  
Daryl T. Paredes ◽  
Ronalyn G. Albopera ◽  
Gladys T. Balog ◽  
Vincent A. Buladas ◽  
Mary Grace D. Hoyle ◽  
...  
Keyword(s):  
Academic Performance ◽  
Significant Degree ◽  
Achievement Test ◽  
Department Of Education ◽  
Test Results ◽  
Achievement Level ◽  
School Year ◽  
Documentary Analysis ◽  
Student’S Performance ◽  
The Relationship

Tests in schools can be informative. However, the Department of Education administered a set of examinations like the National Achievement Test which is designed to determine the learner's achievement level, strengths, and weaknesses in five curricular subject areas at the end of the school year. The study intended to look into the relationship between academic performance in Mathematics and NAT results. There has been a purposive universal sampling design. It is purposive because the research is only studying the academic performance in Mathematics, and universal because the subjects of the study are all the grade six pupils of Victoriano D. Tirol Advanced Learning Center for four consecutive school years. Documentary analysis was used as to the data of existing records on the academic performance and National Achievement Test results in Mathematics. The association between academic achievement and NAT outcomes in Mathematics was investigated using correlation analysis and one-way analysis of variance (ANOVA). The analyses revealed that there is a significant correlation between the pupil's academic performance and NAT results. Also, there is a significant degree of variance in the student's performance as to National Achievement Test Results in four consecutive school years.

A Neural Network Model of Flexible Spatial Updating

2004 ◽  
Vol 91 (4) ◽  
pp. 1608-1619 ◽  
Author(s):  
Robert L. White ◽  
Lawrence H. Snyder
Keyword(s):  
Neural Network ◽  
Reference Frame ◽  
Spatial Information ◽  
Target Location ◽  
Target Position ◽  
Spatial Location ◽  
Spatial Updating ◽  
Gaze Shift ◽  
Fixed Reference ◽  
Gaze Position

Neurons in many cortical areas involved in visuospatial processing represent remembered spatial information in retinotopic coordinates. During a gaze shift, the retinotopic representation of a target location that is fixed in the world (world-fixed reference frame) must be updated, whereas the representation of a target fixed relative to the center of gaze (gaze-fixed) must remain constant. To investigate how such computations might be performed, we trained a 3-layer recurrent neural network to store and update a spatial location based on a gaze perturbation signal, and to do so flexibly based on a contextual cue. The network produced an accurate readout of target position when cued to either reference frame, but was less precise when updating was performed. This output mimics the pattern of behavior seen in animals performing a similar task. We tested whether updating would preferentially use gaze position or gaze velocity signals, and found that the network strongly preferred velocity for updating world-fixed targets. Furthermore, we found that gaze position gain fields were not present when velocity signals were available for updating. These results have implications for how updating is performed in the brain.

The role of executive functions in academic performance and behaviour of university students

2019 ◽  
Vol 12 (3) ◽  
pp. 444-455
Author(s):  
Carlos Ramos-Galarza ◽  
Pamela Acosta-Rodas ◽  
Mónica Bolaños-Pasquel ◽  
Nancy Lepe-Martínez
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Executive Functions ◽  
Measurement Instruments ◽  
Content Type ◽  
Research Findings ◽  
Proportional Relationship ◽  
The University ◽  
The Relationship

Purpose The purpose of this paper is fourfold: first, to analyse the relationship between executive functions and academic performance; second, to identify the level of prediction executive functions have on academic performance; third, to determine the correlation between executive functions and academic performance; and fourth, to compare executive functions based on the level of academic performance. Design/methodology/approach The sample composed of 175 university students aged between 18 and 36 years (M=21.49, SD=3.22). The EFECO scale, the average student grade and a scale based on the diagnostic criteria for ADHD were used as measurement instruments. Findings Difficulties in executive functions: Difficulties in working memory (r=−0.30, p=<0.01) and difficulties in conscious supervision of behaviour (r=−0.29, p⩽0.01) have an inversely proportional relationship to academic performance (the greater the deficit of executive functions, the lower the academic performance). The regression analysis showed that executive functions explain 31 per cent of the variance of academic performance (χ2(25)=43.81, p <0.001). The study found that there is a relationship between all the executive functions and students’ behaviour in a medium to large magnitude. Research limitations/implications A limitation of this study was the size of the sample as it is not representative of the country. Nevertheless, the correlation among the variables studied here has the necessary magnitude for the proposed correlations to be found. Nonetheless, it is necessary that we perform a study with a larger number of participants in order to achieve adequate extrapolation of the results. Practical implications Data found in this study suggest that low academic performance of university students is related to a lower functionality of their executive functions. Originality/value The originality of the research lies in relating specific concepts of neuropsychology to explain the academic performance of university students. The research findings allow us to project new studies to improve the executive functions for the benefit of the university student.

Evidence and Uncertainty in Subjective Prediction: Influences on Optimistic Judgment

1993 ◽  
Vol 72 (2) ◽  
pp. 435-439 ◽  
Author(s):  
Wendy Reece ◽  
Leroy Matthews
Keyword(s):  
Academic Performance ◽  
Positive Bias ◽  
Negative Evidence ◽  
High Confidence ◽  
Average Performance ◽  
Future Performance ◽  
Student’S Performance ◽  
Future Outcomes ◽  
Lower Uncertainty ◽  
High Uncertainty

40 subjects were required to predict the future academic performance of 62 hypothetical students. Each student's performance was represented as a unique arrangement of above average and below average performance for 2, 3, 4, or 5 successively preceding semesters. Following each prediction, subjects were asked to rate how confident they were in their prediction. High confidence was associated with sequences of performance having lower uncertainty, but overestimation of future performance was associated with sequences having high uncertainty. The results were interpreted as supporting a conclusion that there is a positive bias in retrieving similar instances of evidence from memory to bear upon a decision and that the exclusion or reduction of available negative evidence leads to overestimation of future outcomes.

Lesions of the Vestibular System Disrupt Hippocampal Theta Rhythm in the Rat

2006 ◽  
Vol 96 (1) ◽  
pp. 4-14 ◽  
Author(s):  
Noah A. Russell ◽  
Arata Horii ◽  
Paul F. Smith ◽  
Cynthia L. Darlington ◽  
David K. Bilkey
Keyword(s):  
Vestibular System ◽  
Hippocampal Neurons ◽  
Theta Rhythm ◽  
Spatial Information ◽  
Power Spectral Analysis ◽  
Spatial Location ◽  
Lesion Group ◽  
Movement Velocity ◽  
Ca1 Neurons ◽  
Ca1 Region

The hippocampus has a major role in memory for spatial location. Theta is a rhythmic hippocampal EEG oscillation that occurs at ∼8 Hz during voluntary movement and that may have some role in encoding spatial information. We investigated whether, as part of this process, theta might be influenced by self-movement signals provided by the vestibular system. The effects of bilateral peripheral vestibular lesions, made ≥60 days prior to recording, were assessed in freely moving rats. Power spectral analysis revealed that theta in the lesioned animals had a lower power and frequency compared with that recorded in the control animals. When the electroencephalography (EEG) was compared in epochs matched for speed of movement and acceleration, theta was less rhythmic in the lesioned group, indicating that the effect was not a result of between-group differences in this behavior. Blood measurements of corticosterone were also similar in the two groups indicating that the results could not be attributed to changes in stress levels. Despite the changes in theta EEG, individual neurons in the CA1 region of lesioned animals continued to fire with a periodicity of ∼8 Hz. The positive correlation between cell firing rate and movement velocity that is observed in CA1 neurons of normal animals was also maintained in cells recorded from lesion group animals. These findings indicate that although vestibular signals may contribute to theta rhythm generation, velocity-related firing in hippocampal neurons is dependent on nonvestibular signals such as sensory flow, proprioception, or motor efference copy.

scholarly journals Effect of Teachers Training on students academic performance

2020 ◽  
Vol 8 (1) ◽  
pp. 10-14
Author(s):  
Muhammad Ikram ◽  
Abdul Hameed ◽  
Muhammad Imran
Keyword(s):  
Academic Performance ◽  
Public Schools ◽  
Effective Teachers ◽  
Male And Female ◽  
Correlation And Regression Analysis ◽  
Female Teachers ◽  
Student Academic Performance ◽  
Student’S Performance ◽  
Teachers Training ◽  
The Relationship

Student’s performance is an outcome of effective teachers training. This study has been conducted to investigate the relationship between teachers training and student academic performance. The data has been collected from 260 respondents out of which 80 male and female teachers and 180 students of grade VIII of public schools by conducting survey at five point likert scale. The data has been analyzed by employing correlation and regression analysis. The results revealed that teacher's trainings has a significant effect on the students academic performance.

scholarly journals Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

2020 ◽  
Vol 3 (11) ◽  
pp. e202000867 ◽  
Author(s):  
Jovan Tanevski ◽  
Thin Nguyen ◽  
Buu Truong ◽  
Nikos Karaiskos ◽  
Mehmet Eren Ahsen ◽  
...  
Keyword(s):  
Single Cell ◽  
Spatial Organization ◽  
Gene Selection ◽  
Spatial Information ◽  
Spatial Clustering ◽  
Spatial Location ◽  
Spatial Arrangement ◽  
Fish Embryo ◽  
Hybridization Data ◽  
Silver Standard

Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very informative, in standard scRNAseq experiments, the spatial organization of the cells in the tissue of origin is lost. Conversely, spatial RNA-seq technologies designed to maintain cell localization have limited throughput and gene coverage. Mapping scRNAseq to genes with spatial information increases coverage while providing spatial location. However, methods to perform such mapping have not yet been benchmarked. To fill this gap, we organized the DREAM Single-Cell Transcriptomics challenge focused on the spatial reconstruction of cells from the Drosophila embryo from scRNAseq data, leveraging as silver standard, genes with in situ hybridization data from the Berkeley Drosophila Transcription Network Project reference atlas. The 34 participating teams used diverse algorithms for gene selection and location prediction, while being able to correctly localize clusters of cells. Selection of predictor genes was essential for this task. Predictor genes showed a relatively high expression entropy, high spatial clustering and included prominent developmental genes such as gap and pair-rule genes and tissue markers. Application of the top 10 methods to a zebra fish embryo dataset yielded similar performance and statistical properties of the selected genes than in the Drosophila data. This suggests that methods developed in this challenge are able to extract generalizable properties of genes that are useful to accurately reconstruct the spatial arrangement of cells in tissues.

scholarly journals An Effectual Ga Based Association Rule Generation and Fuzzy Svm Classification Algorithm for Predicting Students Performance

2019 ◽  
Vol 8 (6) ◽  
pp. 2915-2920
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Association Rule ◽  
Educational Data Mining ◽  
Rule Generation ◽  
Academic Status ◽  
Student Records ◽  
Performance Simulation ◽  
Svm Classification ◽  
Student’S Performance

This investigation provides outcome of utilizing educational data mining [EDM] to design academic performance of students from real time and online dataset collected from colleges. Data mining is determined to examine non-academic and academic data; this model utilizes a classification approach termed as Fuzzy SVM classification with Genetic algorithm to attain effectual understanding of association rule in enrolment and to evaluate data quality for classification, which is identified as prediction task of performance and academic status based on low academic performance. This model attempts to predict student’s performance in grading system. Academic and student records attained from process were considered to train models estimated using cross-validation and formerly records from complete academic performance. Simulation was performed in MATLAB environment and show that academic status prediction is enhanced while hybrid dataset are added. The accuracy was compared with the existing models and shows better trade off than those methods.

scholarly journals Percepção dos coordenadores de curso de Nutrição sobre o Exame Nacional de Desempenho do Estudante – ENADE/2004

2019 ◽  
Vol 90 (224) ◽  
Author(s):  
Semíramis Domene ◽  
Helena Maria Simonard-Loureiro ◽  
Lúcia Fátima Schwarzchild ◽  
Maria Margareth Naves ◽  
Rahilda Conceição Tuma ◽  
...  
Keyword(s):  
Academic Performance ◽  
Student Performance ◽  
Negative Aspect ◽  
National Examination ◽  
The Social ◽  
Student’S Performance ◽  
Superior Education ◽  
Professional Formation ◽  
Positive Evaluation

O trabalho teve por objetivo analisar a percepção dos coordenadores de Cursos de Graduação em Nutrição sobre o Exame Nacional de Desempenho do Estudante – ENADE/2004, por meio de um questionário contendo onze questões, sendo dez objetivas e uma subjetiva, abrangendo os diversos contextos do exame. A avaliação foi positiva quanto ao questionário socioeconômico, seleção, qualidade e abrangência das questões dos componentes de formação geral e específica, e negativa, por induzir a uma classificação hierárquica dos cursos, ao invés de avaliar o desempenho dos estudantes. Estes resultados podem servir para o aprimoramento dos próximos exames, e contribuir para o aperfeiçoamento dos projetos pedagógicos do Curso de Nutrição e melhoria do ensino superior na área. Palavras-chave: formação profissional; ensino superior; nutricionista; avaliação; desempenho acadêmico. Abstract The objective of this study was to analyze the perception of the coordinators of Graduation Courses in Nutrition about Brazilian National Examination of Student Performance – ENADE/2004 by using a questionnaire contained eleven questions, being ten objectives and a subjective one, enclosing the diverse contexts of the exam. The ENADE had positive evaluation to the purpose of the social and economic questionnaire; questions selection, quality and comprehensiveness of the questions of general and specific components. According to the coordinators perceptions, the negative aspect of the exam was the probably manner of inducing to a hierarchic classification of the courses, instead of evaluating the student’s performance. These analyses could be proposals for the next examinations, as well as to contribute for the improvement of the pedagogic projects of Nutrition Courses and to approaching the superior education in this area. Keywords: professional formation; superior education; nutritionist; evaluation; academic performance.

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