Applying Data Science and Learning Analytics Throughout a Learner's Lifespan - Softcover

Softcover

ISBN 10: 1799896455 ISBN 13: 9781799896456

Verlag: Information Science Reference, 2022

Inhaltsangabe

"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"--

Über diesen Titel

Über die Autorinnen und Autoren

Goran Trajkovski , Ph.D., has 30 years of experience in educational design, focusing on learner-centered approaches. His expertise covers data science, artificial intelligence, machine learning, and learning analytics. He has developed programs and courses in these areas for various educational institutions. His research interests are in cognitive and developmental robotics, leading to the establishment of an NSF-funded research lab. Dr. Trajkovski has a significant publication record, including more than 20 books and over 300 articles, with his involvement in AI research starting in 1995. He prioritizes ongoing learning and skill development, consistently seeking to broaden his knowledge.

Marylee Demeter possesses administrative and academic experience in higher education serving in assessment leadership and adjunct positions at Rutgers University and Middlesex County College. She championed efforts as Chair of the Professional Development Committee for the Student Affairs Assessment Leaders, where she collaboratively developed the MOOC “Developing and Leading Assessment in Student Affairs.” She currently serves as a Senior Assessment Developer at Western Governors University.

Heather Hayes , PhD, is a psychometrician for the Colleges of Information Technology and Business at Western Governors University. She has been involved in the construction and validation of both cognitive ability and personality assessments for over 20 years. Her research interests center on the conjoint use of cognitive theory and Item Response Theory to aid in the construct validation of test scores as well as to improve the test experience itself through computer adaptive testing and automatic item generation. Her current focus is application of this line of research to developing and validating educational tests for online, competency-based education programs.

Details zur Ausgabe

• Verlag: Information Science Reference
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 1799896455
• ISBN 13: 9781799896456
• Einband: Taschenbuch
• Anzahl der Seiten: 344
• Herausgeber: Trajkovski Goran, Demeter Marylee, Hayes Heather
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland