Courses tagged with "UTArlingtonX" (8)
Want to learn how to integrate technology into your classroom? This education and teacher training course takes us to the intersection of research and actual classroom practice. It brings together thought leaders, campus leaders, and practicing teachers to provide a practical framework for integrating technology into K12 teaching and learning.
Capturing and analyzing data has changed how decisions are made and resources are allocated in businesses, journalism, government, and military and intelligence fields. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data drives increased organizational efficiency and a competitive advantage. Simply, analytics provide new insight and actionable intelligence.
In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. That’s starting to change. Software companies, researchers, educators, and university leaders recognize the value of data in improving not only teaching and learning, but the entire education sector. In particular, learning analytics enables universities, schools, and corporate training departments to improve the quality of learning and overall competitiveness. Research communities such as the International Educational Data Mining Society (IEDMS) and the Society for Learning Analytics Research (SoLAR) are developing promising models for improving learner success through predictive analytics, machine learning, recommender systems (content and social), network analysis, tracking the development of concepts through social systems, discourse analysis, and intervention and support strategies. The era of data and analytics in learning is just beginning.
Data, Analytics, and Learning provides an introduction to learning analytics and how it is being deployed in various contexts in education, including to support automated intervention, to inform instructors, and to promote scientific discovery. Additionally, we will discuss tools and methods, what skills data scientists need in education, and how to protect student privacy and other rights. The course will provide a broad overview of the field, suitable for a broad audience. Learners will explore the logic of analytics, the basics of finding, cleaning, and using educational data, predictive models, text analysis, and activity graphs and social networks. We will discuss use of analytics in data domains such as log files and text data. Tableau Software is partnering with University of Texas Arlington to provide analytics software to course participants as well as technical support and guest lectures. Additional software will be introduced and discussed throughout the course.
How this course works:
This course will experiment with multiple learning pathways. It has been structured to allow learners to take various pathways through learning content - either in the existing edX format or in a social competency-based and self-directed format. Learners will have access to pathways that support both beginners, and more advanced students, with pointers to additional advanced resources. In addition to interactions within the edX platform, learners will be encouraged to engage in distributed conversations on social media such as blogs and Twitter.
Globally, higher education institutions are grappling with the effects of an increasingly digital world. This course provides an overview of how digitization impacts the economics, administration, academics, and research practices of universities and colleges. Higher education administrators, faculty, staff, and students will benefit from this course by exploring the emerging structure and role of higher education.
Participants will engage with key trends that are shaping higher education and learn how these trends are amplified by the growing digital structure of society. In order to prepare their institution to become digital, learners will go through processes of evaluating trends, determining impact on education practices, and finally produce a strategic department or organizational planning document.
The goal of this course is to provide high school students and college freshman a broad outline of engineering and help them decide on a career in engineering. The course explores the different disciplines of engineering and providing participants with a broad background in different areas of engineering.
Do you want to learn how race-cars are built? How robots are able to work independently? How is energy harvested? How is energy stored? How are organs built? How is the body imaged? How do you design an aircraft? How do electrons travel in micro and nanoelectronics? How are drugs delivered in the body? How do you build on soils that are unstable? How do robots see? How is light used in devices? How is data stored and managed? How is pollution mitigated? How are electrical signals processed? How are strong and tough materials designed and built? How is thermal energy managed? How is data transmitted? How are systems integrated? How do you make sure goods and services reach their destination? These are all things that engineers are dealing with on a daily basis and will form the basis of the first part of the course.
The goal of this mathematics course is to provide high school students and college freshmen an introduction to basic mathematics and especially show how mathematics is applied to solve fundamental engineering problems. The aim of the course is to show the students why mathematics is important in an engineering career by demonstrating how simple engineering problems can be mathematically described and methodically analyzed to find a solution.
A number of applied examples from various engineering disciplines will be introduced, analyzed and solved.
Open education has come a long way over the last two decades in reshaping the effectiveness and economics of education. With increased adoption at higher education institutions, open education holds the potential for creating broader systemic changes, including:
- reducing educational costs;
- increasing agency of learners and faculty;
- promoting greater transparency;
- improving student outcomes.
This course is designed to promote awareness of open education among graduate students, faculty, and learning designers. You will be introduced to open education concepts that will equip you to utilize open educational resources within your own institutions. As more educators share open educational resources, greater collaboration and shared knowledge is possible. This shift can increase access to quality educational possibilities, particularly in places that have not historically had these opportunities.
Interested in learning a computer programming language but unsure of how and where to begin? This course, Learn to Program Using Python, is a great place to start.
Python is an easy and fun language to learn, and it is now one of the most popular programming languages, suitable for almost any task from developing graphical user interfaces to building web applications.
This course is an introduction to the Python programming language. This course is open to all learners who wish to gain an understanding of the basic components of computer programming. You will learn basic computer programming concepts and terminologies such as variables, constants, operators, expressions, conditional statements, loops, and functions. This Python course includes hands-on exercises to help you understand the components of Python programming while incrementally developing more significant programs. The exercises in this course will be based on small assignments which will relate to real-world problems.
No previous programming knowledge needed.
Concerned about how the digital age is impacting your well-being? Looking for ways to find balance? This course takes the ancient practice of yoga and translates it into modern day science with practical applications.
You will learn how to practice yoga on the mat as well as in your everyday life using aspects of yoga that are immediately applicable to you. Having taught yoga to thousands of people just like you, we have reduced the practice down to the nectar of what really works.
Your team of instructors brings a dynamic blend of science and practice to the course. Stacy and Dave Dockins own four yoga studios in Texas and have trained hundreds of instructors to teach yoga as a life-transforming practice rooted in mindfulness. Dr. Catherine Spann and Dr. George Siemens are researching what it means to be human in a digital age at the University of Texas at Arlington’s LINK Research Lab. With years of experience in online education and psychological research, they bring expertise in learning and well-being in the digital age.
This course is for anyone interested in learning the science and practice of yoga. No previous yoga experience is needed! We welcome those who are interested in learning the basics of yoga postures as well as experienced yoga practitioners or instructors looking to deepen their practice.
By signing up for this course, you will have the opportunity to meet and discuss yoga and meditation with people from across the world. Encourage friends, family, and colleagues to sign up with you!
Trusted paper writing service WriteMyPaper.Today will write the papers of any difficulty.