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Session Type: Symposium
Learning progressions (LPs) and learning trajectories (LTs) are new models of assessment that delineate common conceptual pathways of learners in specific content domains. Despite the similarity between these models, research on LPs in science education and LTs in mathematics education has developed in each discipline with little cross talk. To close this unnecessary gap, this session is a rare opportunity to bring together researchers from science and mathematics education to discuss methodological, social and theoretical implications of learning progression/trajectory research that has potential to improve instruction. Specifically, presentations will address the process of LP/LT validation and empirical recovery, the influence of curricular and cultural contexts on LPs and practical aspects – the utility of LPs/LTs in the classroom.
Development and Validation of a Learning Progression for Mathematical Thinking in Science - Hui Jin, Educational Testing Service; Hyo Jeong Shin, Educational Testing Service; Dante Cisterna, Educational Testing Service
Comparing the Practical and Theoretical Implications of Different Methods of Empirical Recovery of Learning Trajectories - Emily Toutkoushian, The American Board of Anesthesiology; Jere Confrey, North Carolina State University; Meetal Shah, LearnPlatform
A Situated-Cognition Perspective of the Atomic/Molecular Model of Matter Learning Progression - Elon Langbeheim, Ben-Gurion University of the Negev; Sevil Akaygun, Bogazici University; Emine Adadan, Bogazici University; Manzini Hlatshwayo, University Of Johannesburg; Umesh Ramnarain, University Of Johannesburg
Learning Progressions as Empirically Inadequate but Productive Models for Classroom Instruction - Alicia C. Alonzo, Michigan State University