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Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522525858
Category : Education
Languages : en
Pages : 1626
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Book Description
The delivery of quality education to students relies heavily on the actions of an institution’s administrative staff. Effective teaching strategies allow for the continued progress of modern educational initiatives. Student Engagement and Participation: Concepts, Methodologies, Tools, and Applications provides comprehensive research perspectives on the multi-faceted issues of student engagement and involvement within the education sector. Including innovative studies on learning environments, self-regulation, and classroom management, this multi-volume book is an ideal source for educators, professionals, school administrators, researchers, and practitioners in the field of education.
Author: Hans Lennart Zetterberg
Publisher:
ISBN:
Category : Sociology
Languages : en
Pages : 108
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Book Description
Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Education
Languages : en
Pages : 238
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Book Description
The dataset used in this project consists of student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school-related features) and it was collected by using school reports and questionnaires. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In the two datasets were modeled under binary/five-level classification and regression tasks. Important note: the target attribute G3 has a strong correlation with attributes G2 and G1. This occurs because G3 is the final year grade (issued at the 3rd period), while G1 and G2 correspond to the 1st and 2nd period grades. It is more difficult to predict G3 without G2 and G1, but such prediction is much more useful. Attributes in the dataset are as follows: school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira); sex - student's sex (binary: 'F' - female or 'M' - male); age - student's age (numeric: from 15 to 22); address - student's home address type (binary: 'U' - urban or 'R' - rural); famsize - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3); Pstatus - parent's cohabitation status (binary: 'T' - living together or 'A' - apart); Medu - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education); Fedu - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education); Mjob - mother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other'); Fjob - father's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other'); reason - reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other'); guardian - student's guardian (nominal: 'mother', 'father' or 'other'); traveltime - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour); studytime - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours); failures - number of past class failures (numeric: n if 1<=n<3, else 4); schoolsup - extra educational support (binary: yes or no); famsup - family educational support (binary: yes or no); paid - extra paid classes within the course subject (Math or Portuguese) (binary: yes or no); activities - extra-curricular activities (binary: yes or no); nursery - attended nursery school (binary: yes or no); higher - wants to take higher education (binary: yes or no); internet - Internet access at home (binary: yes or no); romantic - with a romantic relationship (binary: yes or no); famrel - quality of family relationships (numeric: from 1 - very bad to 5 - excellent); freetime - free time after school (numeric: from 1 - very low to 5 - very high); goout - going out with friends (numeric: from 1 - very low to 5 - very high); Dalc - workday alcohol consumption (numeric: from 1 - very low to 5 - very high); Walc - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high); health - current health status (numeric: from 1 - very bad to 5 - very good); absences - number of school absences (numeric: from 0 to 93); G1 - first period grade (numeric: from 0 to 20); G2 - second period grade (numeric: from 0 to 20); and G3 - final grade (numeric: from 0 to 20, output target). The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy.
Author: Leigh N. Wood
Publisher: Springer
ISBN: 9811027919
Category : Education
Languages : en
Pages : 364
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Book Description
This book explores successful transition strategies to, within and from university for students from around the globe, with Macquarie University, a large Australian university, studied in depth. It addresses the meaning of success taking a variety of perspectives, including student, staff and employer views. The chapters present a series of initiatives that have proven to be successful in assisting students in developing their academic potential throughout university and beyond. The authors of the chapters use a variety of methodologies and approaches reflecting the diverse local contexts and requirements. These international perspectives demonstrate a triumph of practice that has led to the empowerment of individuals and groups. The approaches from twelve universities located in eight different countries stem directly from the coalface and provide many valuable lessons and tools that colleagues in the sector will be able to consider and adapt in their own contexts. Small interventions matter, from a mentor of a nervous student who goes on to achieve greatness, to the use of a curriculum design model that hooks a whole group of students into learning and achievement. This book covers both the small, individual victories and the larger scale strategies that support success. Contributions emanate from Australia, Bangladesh, India, China, New Zealand, United Kingdom, Canada, USA, Uruguay and South Africa.
Author: William Sedlacek
Publisher: Taylor & Francis
ISBN: 1000981282
Category : Education
Languages : en
Pages : 264
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Book Description
Co-published in association with Big Picture Learning.Measuring Noncognitive Variables: Improving Admissions, Success, and Retention for Underrepresented Students is written for admissions professionals, counselors, faculty and advisers who admit, teach, or work with students during the admissions process and post-enrollment period. It brings together theory, research and practice related to noncognitive variables in a practical way by using assessment methods provided at no cost. Noncognitive variables have been shown to correlate with the academic success of students of all races, cultures, and backgrounds. Noncognitive variables include personal and social dimensions, adjustment, motivation, and student perceptions, rather than the traditional verbal and quantitative areas (often called cognitive) typically measured by standardized tests.Key Features include:* Models that raise concepts related to innovation, diversity and racism in proactive ways* Examples of admission and post-enrollment applications that show how schools and programs can use noncognitive variables in a variety of ways * Additional examples from foundations, professional associations, and K-12 programs* An overview of the limitations of traditional assessment methods such as admission tests, grades, and courses takenEducation professionals involved in the admissions process will find this guide effectively informs their practice. This guide is also appropriate as a textbook in a range of courses offered in Higher Education and Student Affairs Masters and PhD programs.
Author: Guang Chen
Publisher: Springer
ISBN: 3662441888
Category : Social Science
Languages : en
Pages : 404
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Book Description
This book provides an archival forum for researchers, academics, practitioners and industry professionals interested and/or engaged in the reform of the ways of teaching and learning through advancing current learning environments towards smart learning environments. The contributions of this book are submitted to the International Conference on Smart Learning Environments (ICSLE 2014). The focus of this proceeding is on the interplay of pedagogy, technology and their fusion towards the advancement of smart learning environments. Various components of this interplay include but are not limited to: Pedagogy- learning paradigms, assessment paradigms, social factors, policy; Technology- emerging technologies, innovative uses of mature technologies, adoption, usability, standards and emerging/new technological paradigms (open educational resources, cloud computing, etc.)
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Committee on Physical Activity and Physical Education in the School Environment
Publisher: National Academies Press
ISBN: 0309283140
Category : Medical
Languages : en
Pages : 503
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Book Description
Physical inactivity is a key determinant of health across the lifespan. A lack of activity increases the risk of heart disease, colon and breast cancer, diabetes mellitus, hypertension, osteoporosis, anxiety and depression and others diseases. Emerging literature has suggested that in terms of mortality, the global population health burden of physical inactivity approaches that of cigarette smoking. The prevalence and substantial disease risk associated with physical inactivity has been described as a pandemic. The prevalence, health impact, and evidence of changeability all have resulted in calls for action to increase physical activity across the lifespan. In response to the need to find ways to make physical activity a health priority for youth, the Institute of Medicine's Committee on Physical Activity and Physical Education in the School Environment was formed. Its purpose was to review the current status of physical activity and physical education in the school environment, including before, during, and after school, and examine the influences of physical activity and physical education on the short and long term physical, cognitive and brain, and psychosocial health and development of children and adolescents. Educating the Student Body makes recommendations about approaches for strengthening and improving programs and policies for physical activity and physical education in the school environment. This report lays out a set of guiding principles to guide its work on these tasks. These included: recognizing the benefits of instilling life-long physical activity habits in children; the value of using systems thinking in improving physical activity and physical education in the school environment; the recognition of current disparities in opportunities and the need to achieve equity in physical activity and physical education; the importance of considering all types of school environments; the need to take into consideration the diversity of students as recommendations are developed. This report will be of interest to local and national policymakers, school officials, teachers, and the education community, researchers, professional organizations, and parents interested in physical activity, physical education, and health for school-aged children and adolescents.
Author: Neha Yadav
Publisher: Springer
ISBN: 981130761X
Category : Technology & Engineering
Languages : en
Pages : 1209
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Book Description
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
Author: Juan Luis Castejon
Publisher: Frontiers Media SA
ISBN: 2889665070
Category : Science
Languages : en
Pages : 243
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Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 360
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