Harnessing AI's Potential to Support Student Success and Teaching Excellence

Edited by:   Juan J. Araujo, Sharla Snider
Imprint:   IGI Global
Country of Publication:   United States [Currently unable to ship to USA: see Shipping Info]
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337311234
Pages:   330
Publication Date:   15 July 2025
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Juan J. Araujo is Director and Professor in the School of Education within the College of Professional Education at Texas Woman’s University. He holds a Doctor of Philosophy in reading with a minor of anthropology from University of North Texas, a Master of Bilingual Education from Southern Methodist University and a Bachelor of Science in electrical engineering from New Jersey Institute of Technology. Dr. Araujo has been a co-editor/lead editor for the ALER yearbook from 2016-2020, and Co-editor with the LRI Journal for the past term. He has also been on the review boards with the Journal of Adolescent and Adult Literacy since 2013, on the LRA Review board from 2012-2016, and with the TESOL Journal from 2017 to the present. Methodological expertise includes case study, narrative inquiry, ethnographic, and survey research. Sharla Snider is Professor and Division Head of Early Childhood Education in the School of Education at Texas Woman's University. She holds a Doctor of Philosophy and Master of Arts in Early Childhood Education from Texas Woman's University and a Bachelor of Science in Elementary Education from the University of North Texas. Dr. Snider has served in various faculty and administrative roles, including former interim Chair of the Department of Literacy and Learning. She has published in peer-reviewed journals, presented at major conferences, and secured over $1 million in external funding from sources including the U.S. Department of Education and Intel Corporation. She teaches at all levels in early childhood education, technology integration, and research methods, including direction of doctoral work. Methodological expertise includes case study, ethnographic, narrative inquiry, and mixed methods research.