Download or read book Using Student Characteristics for Machine Learning Modeling in Higher Education Alumni Giving written by Dominic Mirabile and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In understanding complex relationships between variables and outcomes, the field of machine learning can be helpful for predicting and classifying new instances based on past data. This study applies a variety of machine learning algorithms to higher education alumni giving and compares the performance of each method in terms of classification accuracy and practicality for use. With increased reliance on private philanthropy, higher education must optimize their development efforts, which begins with the ability to identify likely donors. The models leverage the predictive power of student data to examine the link between student experience and alumni giving and to ensure the model could be applied to future classes using the standard set of collected data. The supervised machine learning methods employed in this study are: Naives Bayes, Decision Trees, Random Forest, Boosting, Bagging, and SMO Support Vector Machines. They represent diverse, widely used methods for classification and provide insight into the broader behavior of alumni giving. The results of the classifiers were largely consistent in terms of classification accuracy and area under ROC curve--suggesting that the modeling had reached the highest accuracy possible for this specific dataset. Still the machine learning implementations perform significantly better than chance and offer a valuable tool in focusing engagement efforts on likely donors. This study contributes to the related literature by offering a practical application of several types of machine learning in a growing field where data is available and rich. It supports the importance of collecting data about potential alumni donors while they are students and encourages the further integration of machine learning into prospecting techniques.
Download or read book Big Data on Campus written by Karen L. Webber and published by Johns Hopkins University Press. This book was released on 2020-11-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Webber, Henry Y. Zheng, Ying Zhou
Download or read book Intelligent Systems and Machine Learning written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2023-07-09 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.
Download or read book High impact Educational Practices written by George D. Kuh and published by . This book was released on 2008 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication¿the latest report from AAC&U¿s Liberal Education and America¿s Promise (LEAP) initiative¿defines a set of educational practices that research has demonstrated have a significant impact on student success. Author George Kuh presents data from the National Survey of Student Engagement about these practices and explains why they benefit all students, but also seem to benefit underserved students even more than their more advantaged peers. The report also presents data that show definitively that underserved students are the least likely students, on average, to have access to these practices.
Download or read book Research in Education written by and published by . This book was released on 1974 with total page 1208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
Download or read book Artificial Intelligence Application in Networks and Systems written by Radek Silhavy and published by Springer Nature. This book was released on 2023-07-08 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of artificial intelligence in networks and systems is a rapidly evolving field that has the potential to transform a wide range of industries. The refereed proceedings in this book is from the Artificial Intelligence Application in Networks and Systems session of the Computer Science Online Conference 2023 (CSOC 2023), which was held online in April 2023. The section brings together experts from different fields to present their research and discuss the latest trends and challenges. One of the key themes in this section is the development of intelligent systems that can learn, adapt, and optimize their performance in real time. Researchers are exploring how AI algorithms can be used to create autonomous networks and systems that can make decisions without human intervention. Furthermore, this section highlights the use of AI in improving network performance and efficiency. Researchers are exploring how AI algorithms can be used to optimize network routing, reduce congestion, and improve the quality of service. These efforts can help organizations save costs and improve user experience.
Download or read book Current Index to Journals in Education written by and published by . This book was released on 2001 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence for Education written by Mario Allegra and published by Frontiers Media SA. This book was released on 2023-11-27 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: What learning, teaching, and education will be in the next future is an open question. Nevertheless, believing that an increasing prevalence of AI may not influence the education field seems objectively unlikely. In recent years, the new renaissance of AI has stimulated discussion on how advances in AI can influence the educational sector and the future educational policies and the impact of AI on Technology-Enhanced Learning (TEL). On the other side, the attention of the education sector in artificial intelligence is complemented by the consideration that, since the early days of AI, researchers have shown for the education sector, which has often seen education as one of the preferred application areas. The interaction between the AI and TEL research fields led to the investigation of how the advance in AI could support the development of flexible, inclusive, personalized, engaging, and effective learning tools. Besides, research in this area could be a powerful tool to open the "learning black box" by providing a deeper understanding of how learning occurs. The proposed Research Topic aims to gather contributions that provide a comprehensive picture of how AI is changing educational practices and how the key stakeholders in the educational community (i.e., students, teachers, faculty, and families) perceive this ongoing change. Relevant topics include (but are not limited to): ● AI applications in real-world educational settings ● Intelligent Tutoring Systems ● Adaptive learning environments ● Learning design and AI ● Students profiling: definition of the student model and ethical implications ● Intelligent techniques for objective and integrated students evaluation in TEL ● Teachers' competencies for effective integration of AI into Education ● Teachers’ perceptions of AI: prejudices and attitudes ● The role of cognitive architectures in Education ● Serious games and AI ● Social robotics in Education
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1996 with total page 860 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by John Wiley & Sons. This book was released on 2016-09-20 with total page 351 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.
Download or read book Machine Learning written by and published by . This book was released on 2017 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Lifelong Machine Learning Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.
Download or read book Assessing Student Outcomes Why Who What How written by J. Fredericks Volkwein and published by John Wiley & Sons. This book was released on 2011-11-22 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers administrators and practitioners a summary guide to assessment in higher education, from the reasons for undertaking assessment to the delivery of findings. It opens with the questions that precede an effective study and drive research design: To what extent is the study aimed at educational improvement, and to what extent is it aimed at external accountability? Are the results expected to demonstrate goal attainment, improvement, comparison to others, meeting standards, cost-effective investment? What is the population from whom assessment data are being collected: Are we measuring the knowledge and skills of individuals and making decisions about their remediation, certification, or development? Or are we sampling from particular groups of students and comparing them to each other, or perhaps to themselves over time? The core of the volume is devoted to the objects of assessment: basic skills, general education knowledge, attainment in the major, personal growth, attitudes and satisfaction, and alumni outcomes, keeping in mind both cognitive and noncognitive measures. One chapter describes common obstacles to effective assessment; others describe conceptual models, research methods, and data collection strategies and instruments. The concluding chapter underscores the importance of communicating research results effectively. This is a special volume of the Jossey-Bass higher education quarterly report series New Directions for Institutional Research. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.
Download or read book Personalized Machine Learning written by Julian McAuley and published by Cambridge University Press. This book was released on 2022-02-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.
Download or read book Higher Education Literature written by Jane N. White and published by Greenwood. This book was released on 1981 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Personalized Learning written by Peggy Grant and published by International Society for Technology in Education. This book was released on 2014-06-21 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Learning: A Guide for Engaging Students with Technology is designed to help educators make sense of the shifting landscape in modern education. While changes may pose significant challenges, they also offer countless opportunities to engage students in meaningful ways to improve their learning outcomes. Personalized learning is the key to engaging students, as teachers are leading the way toward making learning as relevant, rigorous, and meaningful inside school as outside and what kids do outside school: connecting and sharing online, and engaging in virtual communities of their own Renowned author of the Heck: Where the Bad Kids Go series, Dale Basye, and award winning educator Peggy Grant, provide a go-to tool available to every teacher today—technology as a way to ‘personalize’ the education experience for every student, enabling students to learn at their various paces and in the way most appropriate to their learning styles.
