Gonzalez-Sanchez J., Chavez-Echeagaray M.E., Lin, L., Baydogan, M., Christopherson R., Gibson D., Atkinson R., and Burleson W. (2013). Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values. Proceedings of the 13th IEEE International Conference on Advanced Learning Technologies (ICALT). Beijing, China. July 2013. In Press. – See more at: http://javiergs.com/?p=2119#sthash.mRkYqiwU.dpuf    Abstract The ability […]

The latest publication from ANGLE is now available.  The article, published in Computers in Human Behavior, describes the evaluation of two algebra intelligent tutoring systems in a remedial high school context.  Download the article’s final draft post-print here: Sabo et al. – 2013 – Searching for the two sigma advantage Citation Sabo, K. E., Atkinson, R. K., Barrus, […]

Davenn didn’t know what he wanted to do in engineering. He just knew he liked problem solving. Since coming to ASU, he has found his passion in the informatics program, worked in the lab and landed an internship. Learn more about Davenn’s Sun Devil experience. My Sun Devil Engineering Story: Davenn from ASU Engineering on […]

Associate Professor and PI Ira A. Fulton Schools of Engineering. School of Computing, Informatics, and Decision Systems Engineering. Mary Lou Fulton Teacher’s College Division of Educational Leadership and Innovation   Dr. Robert Atkinson is an Associate Professor with a joint appointment in the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Schools of […]

The ANGLE Lab’s mLearning group has set out to anticipate and explore the possibilities of emerging mobile learning technologies. Its mission is to prepare educators for the next generation of mobile learning by identifying the affordances of cutting edge mobile devices and effective strategies for using these devices to enhance learning.

Multimedia learning environments contain instruction that is presented in different representational formats (words and pictures) and processed in different sensory channels (auditory and visual) by the learner. Current consensus among educational researchers is that the design of multimedia learning materials should align with the learner’s cognitive processing resources in a way to prevent unnecessary processing […]

Master Student Educational Technology Mary Lou Fulton Teachers College     Irfan has 10 years of instructional design, content development, and evaluation experience in educational technology and e-learning solutions. Since 2008, Irfan has worked closely with faculty from Arizona State University to develop effective interactive tutoring and learner assessments tools for K -12 learners. His […]

            Angela Barrus is a Principal Research Associate in Pearson’s Higher Education Division. Angela has over eighteen years of experience in instructional design and software development project management and six years of experience in educational research. She received her Ph.D. in Educational Technology from Arizona State University in May 2013 […]

Professor Ira A. Fulton Schools of Engineering. School of Computing, Informatics, and Decision Systems Engineering. Department of Biomedical Informatics   Dr. George C. Runger, is a Professor in the School of Computing, Informatics and Decision Systems Engineering and the Department of Biomedical Informatics at Arizona State University. His research is on real-time monitoring and other […]

PhD Student Educational Technology with AME concentration Mary Lou Fulton Teacher’s College       Robert is a PhD student in Education Technology with a concentration in Arts, Media and Engineering. His interests are in Affective Computing, Animated Pedagogical Agents, Self-Regulated Learning, Effective Feedback, and Evaluation of Learning Through Psychophysiological expressions (i.e., eye movement, pupil […]