Fr. 36.50

Maximizer Mindset - Work Less, Achieve More, Spread Joy

English · Paperback / Softback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more










Purpose and planning form the core of the Maximizer Mindset, designed to empower individuals within a myriad of contexts to work less, achieve more, and spread joy throughout each day of their lives.

List of contents










Preface
Acknowledgements
Introduction
Chapter 1: The Race Against Time
Chapter 2: The Keys to Unlocking the Maximizer Mindset
Chapter 3: Find Freedom by Treasuring Truth
Chapter 4: Ignite Productivity by Prioritizing Purpose
Chapter 5: Cultivate Creativity by Leveraging Connections
Chapter 6: Adding Value through the Maximizer Mindset
Chapter 7: Essential Ideas to Remember
About the Author


About the author










Katie Alaniz, EdD, is director of the Center for Learning Innovations and Teaching Excellence (C-LITE) and a faculty member within the College of Education Behavioral Sciences at Houston Baptist University. As a teacher and digital learning specialist for over a decade in both public and private schools, including her service as a digital learning specialist at River Oaks Baptist School, Dr. Alaniz guides fellow educators as they meaningfully integrate digital tools and resources within their classrooms.
David Q. Hao, MA, JD, is the Head of School at Veritas Christian Academy, an independent K-8 innovative classical school in Houston, TX. Previously, David worked in higher education as the Associate Vice President of Student Affairs at the University of St. Thomas (TX), the Dean of Student Success at Houston Baptist University, and taught as an adjunct professor at the graduate and undergraduate level.


Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.