Applying data science and learning analytics throughout a learner's lifespan / Goran Trajkovski, Marylee Demeter, Heather Hayes editors.

Format:

Book

Contributor:

Demeter, Marylee, 1972- editor.

Hayes, Heather, 1978- editor.

Trajkovski, Goran, 1972- editor.

Language:

English

Subjects (All):

Data mining.

Education--Data processing.

Education.

Physical Description:

1 online resource (336 pages)

Place of Publication:

Hershey, Pennsylvania : Information Science Reference, [2022]

Summary:

Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

Contents:

Do we need a digital data exorcism? : end of life considerations of data mining educational content / James Braman, Alfreda Dudley

Evaluating self-service business intelligence tools : the influence of cognition needs and innovative cognitive style / Mohammad Daradkeh

Analyzing and predicting learners' sentiment toward specialty schools using machine learning techniques / Md Shamim Hossain, Mst Farjana Rahman

Univariate and multivariate filtering techniques for feature selection and their applications in field of machine learning / Dharmendra Patel, Nirali Honest, Pranav Vyas, Atul Patel

Relationships between out-of-school-time lessons and academic performance among adolescents in four high-performing education systems / David Litz, Shaljan Areepattamannil, Scott Parkman

Mind the gap : from typical LMS traces to learning to learn journeys / Carmel Kent, Abayomi Akanji, Benedict du Boulay, Ibrahim Bashir, Thomas Fikes, Sue Rodríguez De Jesús, Alysha Ramirez Hall, Paul Alvarado, Jennifer Jones, Mutlu Cukurova, Varshita Sher, Canan Blake, Arthur Fisher, Julie Greenwood, Rosemary Luckin.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

1-7998-9647-1

1-7998-9646-3