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Applying data science and learning analytics throughout a learner's lifespan

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서명/저자사항Applying data science and learning analytics throughout a learner's lifespan/ Goran Trajkovski, Marylee Demeter, Heather Hayes.
개인저자Trajkovski, Goran,1972- editor,
Demeter, Marylee,1972- editor,
Hayes, Heather,1978- editor,
형태사항1 online resource (xxi, 314 pages): illustrations (chiefly color).
총서사항Advances in educational technologies and instructional design (AETID) book series
기타형태 저록Print version: Applying data science and learning analytics throughout a learner's lifespan Hershey, PA : Information Science Reference, 2022 9781799896449
ISBN9781799896470
1799896471
1799896463
9781799896463


서지주기Includes bibliographical references and index.
내용주기Do 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 Rodri?guez De Jesu?s, Alysha Ramirez Hall, Paul Alvarado, Jennifer Jones, Mutlu Cukurova, Varshita Sher, Canan Blake, Arthur Fisher, Julie Greenwood, Rosemary Luckin.
요약"This publication examines novel and emerging applications of data science and sister disciplines in gaining insights from data to inform interventions into the learners' journey and interactions with an academic or training institution, covering topics such as building models of learners for success, using data to inform courseware and assessmentware development"--
해제Provided by publisher.
일반주제명Education --Data processing.
Data mining.
Data Mining
E?ducation --Informatique.
Exploration de donne?es (Informatique)
Data mining.
Education --Data processing.
언어영어
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