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Session Type: Structured Poster Session
This symposium reviews recent advances in interdisciplinary research on the design, development, and evaluation of technology-rich learning environments in three areas, namely, the underlying processes in learning and engagement and novel approaches to assessment. Contemporary research in adaptive technologies has led to important advances in leveraging learner data from multiple modalities and modeling latent cognitive, affective, metacognitive, and motivational processes. The aim of this symposium is to review the theoretical, methodological, and analytical underpinnings of research in aligning instruction and assessment within technology and promoting positive affective and authentic learning experiences. The presenters will critically examine each area in terms of how it informs the design of the tools as both a research and training environment.
1. Antecedents and Effects of Emotions in Technology-Based Learning: Integrating Three Decades of Research - Kristina Loderer, University of Munich; Reinhard Pekrun, University of Essex; James Lester, North Carolina State University
2. Analysis of an Instructor Dashboard to Support Learning and Facilitation in an Online Problem-Based Learning Environment - Yuxin Chen, Indiana University; Peter Hogaboam, Indiana University; Maedeh Assadat Kazemitabar, McGill University; Stephen Bodnar; Juan Pablo Sarmiento, New York University; Ruth K Sherman, New York University; Cindy E. Hmelo-Silver, Indiana University; Susanne P. Lajoie, McGill University; Ricki Goldman, New York University
3. Using Log File Data as Evidence of Problem-Solving Skill in Technology-Rich Environments - Valerie J. Shute, Florida State University
4. Fostering Historical Reasoning and Positive Emotions With Location-Based Augmented Reality and Tour Guide Prompts - Jason Matthew Harley, University of Alberta; Tara Tressel, McGill University; Amanda Jarrell, McGill University; Susanne P. Lajoie, McGill University; Laura Pipe, McGill University
5. Mining Sequential Patterns in Student Collaborative Dialogue While Learning From Research Quest - Eric G. Poitras, University of Utah; Kirsten R. Butcher, University of Utah; Michelle Hudson, University of Utah
6. Person-Oriented Learner Modeling Approaches to Assessing, Predicting, and Tracking Learning in Technology-Rich Environments - Eunice Eunhee Jang, University of Toronto; Clarissa Lau, University of Toronto; Jeanne Sinclair, University of Toronto
7. Understanding and Reasoning About Cognitive, Metacognitive, and Affective Processes Used During Complex Learning With Advanced Learning Technologies - Roger Azevedo, North Carolina State University; Michelle Taub, North Carolina State University; Nicholas Vincent Mudrick, North Carolina State University; Joseph Grafsgaard, North Carolina State University; Garrett C. Millar, North Carolina State University; Megan Price, North Carolina State University