Identifying The Factors Affecting Science And Mathematics Achievement Using Data Mining Methods

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Identifying the Factors Affecting Science and Mathematics Achievement Using Data Mining Methods

Author : S. Ahmet Kiray
Publisher :
ISBN 13 :
Total Pages : 22 pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Identifying the Factors Affecting Science and Mathematics Achievement Using Data Mining Methods by : S. Ahmet Kiray

Download or read book Identifying the Factors Affecting Science and Mathematics Achievement Using Data Mining Methods written by S. Ahmet Kiray and published by . This book was released on 2015 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple causes-multiple effects. Furthermore, the study examines and reveals how the reading skills, problem solving skills, cognitive and affective variables influence the math and science achievement. The data was collected from the results of Turkish students who participated in three international examinations; TIMSS 1999, PISA 2003 and PISA 2006. We analyzed the data using two data-mining methods (decision trees and clustering). The findings show that science or mathematics achievement is not influenced by the course-specific variable alone but also by other related variables. The following variables are the most important; the students' reading and problem-solving skills affected both mathematics and science achievement; the mathematics achievement affected the science achievement; and the science achievement affected the mathematics achievement. It is also found that the affective variables have almost equally significant effects on the science and mathematics achievement.

Data Mining and Learning Analytics

Author : Samira ElAtia
Publisher : John Wiley & Sons
ISBN 13 : 1118998235
Total Pages : 320 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Artificial Intelligence in Education Technologies: New Development and Innovative Practices

Author : Eric C. K. Cheng
Publisher : Springer Nature
ISBN 13 : 9811980403
Total Pages : 224 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence in Education Technologies: New Development and Innovative Practices by : Eric C. K. Cheng

Download or read book Artificial Intelligence in Education Technologies: New Development and Innovative Practices written by Eric C. K. Cheng and published by Springer Nature. This book was released on 2023-01-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is a collection of selected research papers presented at the 2022 3rd International Conference on Artificial Intelligence in Education Technology (AIET 2022), held in Wuhan, China, on July 1–3, 2022. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. The book is divided into five main sections – 1) AI in Education in the Post-COVID New Norm, 2) Emerging AI Technologies, Methods, Systems and Infrastructure, 3) Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies, 4) Curriculum, Teacher Professional Development and Policy for AI in Education, and 5) Issues and Discussions on AI In Education and Future Development. Through these sections, the book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education in the post-pandemic new norm and triggering an exponential leap toward the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.

New Challenges in the Research of Academic Achievement: Measures, Methods, and Results

Author : Juan Luis Castejon
Publisher : Frontiers Media SA
ISBN 13 : 2889665070
Total Pages : 243 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis New Challenges in the Research of Academic Achievement: Measures, Methods, and Results by : Juan Luis Castejon

Download or read book New Challenges in the Research of Academic Achievement: Measures, Methods, and Results written by Juan Luis Castejon and published by Frontiers Media SA. This book was released on 2021-02-24 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Educational Data Mining with R and Rattle

Author : R.S. Kamath
Publisher : CRC Press
ISBN 13 : 100079363X
Total Pages : 127 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Educational Data Mining with R and Rattle by : R.S. Kamath

Download or read book Educational Data Mining with R and Rattle written by R.S. Kamath and published by CRC Press. This book was released on 2022-09-01 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme "Mining of Educational Data for the Analysis and Prediction of Students' Academic Performance". The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools. .Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach

Using Data Mining Methodologies to Analyze Patterns of Student Success

Author : Colleen Angela Palmer
Publisher :
ISBN 13 : 9780549043799
Total Pages : 192 pages
Book Rating : 4.0/5 (437 download)

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Book Synopsis Using Data Mining Methodologies to Analyze Patterns of Student Success by : Colleen Angela Palmer

Download or read book Using Data Mining Methodologies to Analyze Patterns of Student Success written by Colleen Angela Palmer and published by . This book was released on 2007 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study was to use Artificial Intelligence (AI) data mining methodologies to determine predictive variables for a cohort of students who "beat the odds" over time with respect to achievement in math or reading from Grade 4 to Grade 8. This mixed methods study was conducted within a large, urban district in the North East that is challenged by its achievement gap.

How the ELL Brain Learns

Author : David A. Sousa
Publisher : Corwin Press
ISBN 13 : 1412988349
Total Pages : 289 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis How the ELL Brain Learns by : David A. Sousa

Download or read book How the ELL Brain Learns written by David A. Sousa and published by Corwin Press. This book was released on 2011 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Raise your ELL success quotient and watch student achievement soar! "How the ELL Brain Learns" combines current research on how the brain learns language with strategies for teaching English language learners. Award-winning author and brain research expert David A. Sousa describes the linguistic reorganization needed to acquire another language after the age of 5 years. He supplements this knowledge with immediately applicable tools, including: A self-assessment pretest for gauging your understanding of how the brain learns languages Brain-compatible strategies for teaching both English learners across content areas An entire chapter about how to detect English language learning problems

Data Mining Methodologies in Educational Organizations

Author : Jeffrey A. Schumann
Publisher :
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.:/5 (614 download)

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Book Synopsis Data Mining Methodologies in Educational Organizations by : Jeffrey A. Schumann

Download or read book Data Mining Methodologies in Educational Organizations written by Jeffrey A. Schumann and published by . This book was released on 2005 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Assessing Students' Digital Reading Performance

Author : Jie HU
Publisher : Taylor & Francis
ISBN 13 : 1000820009
Total Pages : 172 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Assessing Students' Digital Reading Performance by : Jie HU

Download or read book Assessing Students' Digital Reading Performance written by Jie HU and published by Taylor & Francis. This book was released on 2022-12-30 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.

Handbook of Educational Data Mining

Author : Cristobal Romero
Publisher : CRC Press
ISBN 13 : 1439804583
Total Pages : 528 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Handbook of Educational Data Mining by : Cristobal Romero

Download or read book Handbook of Educational Data Mining written by Cristobal Romero and published by CRC Press. This book was released on 2010-10-25 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed. With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making.

Predicting Students' Academic Achievement Using Methods of Educational Data Mining

Author : Sarah Alturki
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (136 download)

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Book Synopsis Predicting Students' Academic Achievement Using Methods of Educational Data Mining by : Sarah Alturki

Download or read book Predicting Students' Academic Achievement Using Methods of Educational Data Mining written by Sarah Alturki and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 1st Annual Conference of Islamic Education (ACIE 2022)

Author : Depict Pristine Adi
Publisher : Springer Nature
ISBN 13 : 2384760440
Total Pages : 251 pages
Book Rating : 4.3/5 (847 download)

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Book Synopsis Proceedings of the 1st Annual Conference of Islamic Education (ACIE 2022) by : Depict Pristine Adi

Download or read book Proceedings of the 1st Annual Conference of Islamic Education (ACIE 2022) written by Depict Pristine Adi and published by Springer Nature. This book was released on 2023-04-22 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. This is the first annual conference of islamic education organized by Faculty of Tarbiyah and Teacher Training, UIN Kiai Haji Achmad Siddiq Jember. This conference is a forum held to bring together various academics, researchers, lecturers, and practitioners, especially in the scope of Islamic education to discuss various contemporary issues related to the development of the world of Islamic education in the era of global transformation. This event can give you a valuable opportunity to share ideas, ideas, research results, theories, and various other contributions in the academic world. It can also encourage you to increase the network of collaborative relationships between researchers and other writers to build partnerships.

Resources in Education

Author :
Publisher :
ISBN 13 :
Total Pages : 760 pages
Book Rating : 4.U/5 (183 download)

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Book Synopsis Resources in Education by :

Download or read book Resources in Education written by and published by . This book was released on 2001 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cracking the code

Author : UNESCO
Publisher : UNESCO Publishing
ISBN 13 : 9231002333
Total Pages : 82 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Cracking the code by : UNESCO

Download or read book Cracking the code written by UNESCO and published by UNESCO Publishing. This book was released on 2017-09-04 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report aims to 'crack the code' by deciphering the factors that hinder and facilitate girls' and women's participation, achievement and continuation in science, technology, engineering and mathematics (STEM) education and, in particular, what the education sector can do to promote girls' and women's interest in and engagement with STEM education and ultimately STEM careers.

Handbook of Research on Science Education

Author : Norman G. Lederman
Publisher : Taylor & Francis
ISBN 13 : 1000828662
Total Pages : 1916 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Handbook of Research on Science Education by : Norman G. Lederman

Download or read book Handbook of Research on Science Education written by Norman G. Lederman and published by Taylor & Francis. This book was released on 2023-03-17 with total page 1916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume III of this landmark synthesis of research offers a comprehensive, state-of-the-art survey highlighting new and emerging research perspectives in science education. Building on the foundations set in Volumes I and II, Volume III provides a globally minded, up-to-the-minute survey of the science education research community and represents the diversity of the field. Each chapter has been updated with new research and new content, and Volume III has been further developed to include new and expanded coverage on astronomy and space education, epistemic practices related to socioscientific issues,design-based research, interdisciplinary and STEM education, inclusive science education, and the global impact of nature of science and scientific inquiry literacy. As with the previous volumes, Volume III is organized around six themes: theory and methods of science education research; science learning; diversity and equity; science teaching; curriculum and assessment; and science teacher education. Each chapter presents an integrative review of the research on the topic it addresses, pulling together the existing research, working to understand historical trends and patterns in that body of scholarship, describing how the issue is conceptualized within the literature, how methods and theories have shaped the outcomes of the research, and where the strengths, weaknesses, and gaps are in the literature. Providing guidance to science education faculty, scholars, and graduate students, and pointing towards future directions of the field, Handbook of Research on Science Education Research, Volume III offers an essential resource to all members of the science education community.

What Big Data Can Tell Us About the Psychology of Learning and Teaching

Author : Ronnel B. King
Publisher : Frontiers Media SA
ISBN 13 : 2889746321
Total Pages : 170 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis What Big Data Can Tell Us About the Psychology of Learning and Teaching by : Ronnel B. King

Download or read book What Big Data Can Tell Us About the Psychology of Learning and Teaching written by Ronnel B. King and published by Frontiers Media SA. This book was released on 2022-03-09 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT.

Author : Lewis Whitley
Publisher :
ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT. by : Lewis Whitley

Download or read book EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT. written by Lewis Whitley and published by . This book was released on 2018 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of technology and data analysis within the classroom has been a resourceful tool in order to collect, study, and compare a student's level of success. With the large amount of regularly collected data from student behaviors, and course structure there is more than enough resources in order to find student success with data analysis. A method of data analysis within a learning environment is called Educational Data Mining (EDM), which has proven to be an emerging trend when it involves the development of exploration techniques and the analysis of educational data. EDM has been able to contribute to the understanding of student behavior, as well as factors that influence both student actions and their success. The study of student success within EDM has focused on student learning patterns, student to teacher culture, and teaching techniques. In this research we will look at uses of technology and data mining in an EDM setting and compare the success of findings. Using past experience of other research we will determine which method would be best in order to look at a learning environment, and try to find which factors will affect a student's academic performance.