Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios

[1]  B. Zimmerman,et al.  Development of a Structured Interview for Assessing Student Use of Self-Regulated Learning Strategies , 1986 .

[2]  P. Pintrich,et al.  Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (Mslq) , 1993 .

[3]  Philip H. Winne,et al.  Studying as self-regulated learning. , 1998 .

[4]  J. Keller Using the ARCS Motivational Process in Computer-Based Instruction and Distance Education , 1999 .

[5]  E. Deci,et al.  The effects of instructors' autonomy support and students' autonomous motivation on learning organic chemistry: A self-determination theory perspective , 2000 .

[6]  B. Zimmerman Becoming a Self-Regulated Learner: An Overview , 2002 .

[7]  Philip H. Winne,et al.  Exploring students’ calibration of self reports about study tactics and achievement , 2002 .

[8]  P. Pintrich A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students , 2004 .

[9]  Scotty D. Craig,et al.  Affect and learning: An exploratory look into the role of affect in learning with AutoTutor , 2004 .

[10]  Philip H. Winne,et al.  Examining trace data to explore self-regulated learning , 2007 .

[11]  T. Jong,et al.  Software scaffolds to promote regulation during scientific inquiry learning , 2007 .

[12]  Ryan Shaun Joazeiro de Baker,et al.  The Dynamics of Affective Transitions in Simulation Problem-Solving Environments , 2007, ACII.

[13]  Roger Azevedo,et al.  Adaptive Content and Process Scaffolding: A key to facilitating students' self-regulated learning with hypermedia , 2011 .

[14]  Jonathan P. Rowe,et al.  When Off-Task is On-Task: The Affective Role of Off-Task Behavior in Narrative-Centered Learning Environments , 2011, AIED.

[15]  Gahangir Hossain,et al.  The Effectiveness of Pedagogical Agents' Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor , 2012, ITS.

[16]  A. Graesser,et al.  Dynamics of affective states during complex learning , 2012 .

[17]  John S. Kinnebrew,et al.  A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns , 2013, EDM 2013.

[18]  Jason M. Harley,et al.  Using Trace Data to Examine the Complex Roles of Cognitive, Metacognitive, and Emotional Self-Regulatory Processes During Learning with Multi-agent Systems , 2013 .

[19]  Allyson F. Hadwin,et al.  nStudy: Tracing and Supporting Self-Regulated Learning in the Internet , 2013 .