9/1/19-8/31/22 PIs: Magy Seif El-Nasr, Northeastern University (Award Details) Jichen Zhu, Drexel University (Award Details) An active research area in intelligent tutoring systems and game-based learning is personalized learning. In these environments, the computer analyzes learner behaviors in real time and builds individual models of critical aspects of learning (e.g., level of engagement, knowledge acquisition) […]
Tag Archives: Personalized learning
EAGER: Mixed Reality for Improved Science Reading Comprehension
8/15/19-7/31/20 PI: Len Annetta East Carolina University Award Details This EArly grant for Exploratory Research (EAGER) is a partnership between East Carolina University (ECU), Spark Plug Games, Cumberland County Schools, and Teresa C Berrien Elementary School that will develop and perform preliminary testing of mixed reality (MR) to improve understanding of academic language in elementary […]
Teachers are the Learners: Providing Automated Feedback on Classroom Inter-Personal Dynamics
8/1/18-7/31/21 PIs: Jacob Whitehill, Erin Ottmar, Lane Harrison Worcester Polytechnic Institute Award Details The quality of teacher-student interactions in school classrooms both predicts and impacts students’ learning outcomes. Training teachers to perceive subtle interactions and interpersonal classroom dynamics more accurately can help them to implement more effective interactions in their own classrooms. Contemporary methods of […]
EXP: Improving Student Help-Giving with Ubiquitous Collaboration Support Technology
8/01/2017-7/31/2020 PI: Erin Walker University of Pittsburgh Award Details Students benefit from helping their peers: Help-givers improve their knowledge of the domain as a result of trying to explain it to others, and they become more confident in their abilities to solve problems. However, students need guidance to be successful at giving help. This research […]
EXP: Attention-Aware Cyberlearning to Detect and Combat Inattentiveness During Learning
6/01/2017-8/31/2018 PIs: Sidney D’Mello University of Colorado at Boulder Award Details The ability to concentrate on tasks is critical to learning. This project will develop attention-aware cyberlearning as a new genre of learning technologies that automatically detect and respond to students’ attentional states. In particular, this project will implement technology that will detect mind wandering […]
EAGER: Towards Knowledge Curation and Community Building within a Postdigital Textbook
PIs: Erin Walker, Edward Finn, Ruth Wylie Arizona State University Award Details In this Cyberlearning EAGER project, the team is exploring the idea of the post-digital textbook. They envision the post-digital textbook being used in many of the same ways textbooks are used now and, in addition, providing a platform for collaboration, curation, and personalization. […]
Badge-Based STEM Assessment: Current Terrain and the Road Ahead
PIs: Michelle Riconscente, Margaret Honey New York Hall of Science Award Details The New York Hall of Science proposes a two-pronged workshop project that will: (1) conduct a study of and develop a draft report on the topic of STEM badges including conceptualizations, rationale, systems, key contributors and challenges and opportunities for STEM-related badges; and […]
DIP: EMBRACEing English Language Learners with Technology
PIs: Arthur Glenberg, Erin Walker, M. Adelaida Restrepo Arizona State University In this Cyberlearning: Transforming Education DIP (Development and Implementation) Project, the PIs focus on how to address the English-language learning needs of young English-language learners (ELLs). They are enhancing the Moved by Reading (MbR) computer program that has been used to increase the reading […]
DIP: Collaborative Research: Impact of Adaptive Interventions on Student Affect, Performance, and Learning
PIs: Ivon Arroyo, Worcester Polytechnic Institute (Award Details) A. Lynn Stephens, Beverly Woolf, Robert Maloy, U. Mass Amherst (Award Details) Winslow Burleson, Kasia Muldner, Arizona State University (Award Details) A major factor influencing learning is students’ emotions and their general affective state. Given the pivotal role that affect plays in learning activities it is not […]
EXP: Building a Learning Analytics System to Improve Student Learning and Promote Adaptive Teaching Across Multiple Domains
PIs: Marsha Lovett, Christopher Genovese Carnegie-Mellon University Award Details This PI team aims to use artificial intelligence to exploit data collected from intelligent tutoring systems to provide feedback both to students and to teachers effectively and at the right times. The team is using a new analytic approach, which introduces hierarchical modeling to learning analytics, […]
12