The central focus of the Advancing Next Generation Learning Environments (ANGLE) Lab at ASU is to explore and innovate technologies designed to enhance interactive learning environments and ultimately improve student learning. Angle Lab’s Facebook Project from ASU Engineering on Vimeo.

IEEE International Conference on Advanced Learning Technologies Athens, Georgia, USA. July 2011 Tutorial.     Abstract Considering that the human-element as crucial in designing and implementing interactive intelligent systems, this tutorial provides a description and hands-on demonstration on detection of affective states and a description of devices, methodologies and data processing, as well as their impact […]

The fourth annual Virtual Worlds Best Practices in Education conference was held from Thursday, March 17, 2011 until Saturday, March 19, 2011. The VWBPE focuses on education and learning in virtual environments. The theme of this year is “You are Here”. The event covered over 20 sims in the virtual world of Second Life and […]

Atkinson R., Christopherson R., Gonzalez Sanchez J., Chavez Echeagaray M.E. “Automated Detection of Affective States to Measure Learning Experience”. Companion of the 41th Conference of Research and Development by Tecnologico de Monterrey (Monterrey, Nuevo Leon, Mexico, January 19 – 21, 2011). January 2011.   Summary Developed by the Learning Science Research Lab at Arizona State […]

Atkinson R., Denham A., Gonzalez Sanchez J., Christopherson R., Chavez Echeagaray M.E. “Mobile Learning: Using Mobile Devices to Deliver Interactive Multimedia Instruction”. Companion of the 41th Conference of Research and Development by Tecnologico de Monterrey (Monterrey, Nuevo Leon, Mexico, January 19 – 21, 2011). January 2011.   Summary Developed by the Learning Science Research Lab […]

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 […]

PhD Student | Research Assistant | Teaching Assistant Computer Science with AME concentration Ira A. Fulton Schools of Engineering School of Computing, Informatics, and Decision Systems Engineering     Helen joined the PhD program in Computer Science at Arizona State University (ASU) in January 2009. She received an M.S. in Computer Science from the Tecnológico […]

  PhD Student | Research Assistant | Teaching Assistant Computer Science with AME concentration Ira A. Fulton Schools of Engineering School of Computing, Informatics, and Decision Systems Engineering         Javier joined the PhD program in Computer Science at Arizona State University in January 2009. He received an M.S. in Electrical Engineering with […]

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 […]