Adaptive learning technologies are emerging as an effective way to promote access and quality at a large scale in education. Enabled by machine learning, these technologies can provide each student with a personalized learning experience that helps accelerate a learner’s performance while adapting to his or her needs and skill sets in real time.
Dr. Baiyun Chen is an instructional designer at the Center for Distributed Learning at the University of Central Florida (UCF). She leads the personalized adaptive learning (PAL) function of the Instructional Design Team.Her background spans from design of learning technologies, research methods and language teaching. Over the past decade, she has accumulated extensive experiences in teaching, design and development of online courses and training seminars for both higher education and K12 settings. She completed her PhD degree in Instructional Technology and a graduate certificate in Data Mining at UCF. Baiyun published peer-reviewed articles in Computers in Human Behavior, The International Review of Research in Open and Distance Education, EDUCAUSE Review Online and Quarterly Review of Distance Education. She has actively participated in professional conferences at local, national and international levels, presenting at the American Educational Research Association (AERA) conferences, the Association of Educational Communications & Technology (AECT) conferences, the EDUCAUSE conferences, the Online Learning Consortium conferences, and others. She has developed and taught courses/workshops on instructional technology, learning theories and research methods. Her current research interests mainly focus on STEM education, design and evaluation of E-Learning systems and faculty professional development. She is also involved in projects related to mobile learning, ebook, open educational resources, ePortfolio, and faculty teaching readiness assessment.
Two university-wide surveys about students' mobile technology ownership and learning practices show that mobile device ownership is high and continues to increase among students.
A university-wide survey on students' mobile learning practices showed that ownership of mobile devices is high among students and that tablets are the most popular devices for academic purposes.