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Pedagogy, Understanding and  Online Learning Patrick Schmidt, Ph.D. Westminster College of Rider University
Status and Growth 20% of all students in HE in US enrolled in at least one online course (Allen & Seaman, 2007) Over half of 3.9 million students receiving online instruction are in 2-year colleges 36.5% growth since 2005 35% of higher education institutions offered entire programs online by 2006 (Bolliger and Wasilik, 2009) 12 States adopt statewide ‘standards’ provided by ‘Quality Matters’ group – ‘Peer review’ based upon 8 criteria divided into 40 standards 173 virtual Charter Schools: 98, 235 Sts in 18 states (Tucker, 2007) US DOE 2009 report: Importance of Online; but differences don’t allow for direct comparison between online and traditional classrooms
 Pedagogy and Function Cost-efficiency and Investment Development and delivery Market based client satisfaction in ‘student satisfaction’ (‘the’ most important issue according to American Distance Education Consortium) – problem? While online courses present higher degree completion rates, students often lack online socialization  Student Drop-out: single courses; lack norms for interactivity Assess to larger and diverse population? (Local phenomena) Unequal access to resources Workload perception – Initial Curve & Stasis Phenomena Teacher Burnout – (Hogan and McKnight, 2007) Does online provide PD or Learning environment for teachers Co-optation of system?  CUNY is moving to ‘partial’ online classes, diminished class time and more classes in schedule
Fluency and Fragility  Technology no longer as mere tool, but the way in which the world shows up for us Evaluate if students understand what they know is significant issue  David Perkins characterizes ‘fragile’ knowledge specifying: forgotten, inert, naïve or ritual Challenge of unthinking responses to low-level questions Higher-order-thinking and ‘postings’ (McLaughlin, 2009): Triggering: 3.4%; Exploration: 52.5%; Integration: 34.3%; Resolution: 5.4%. Classroom and personal interaction can ‘veil’ understanding by equating it with ‘personal expression’ Challenge to create ‘predicting processes’ in uncovering knowledge
Dialogue and Reflexivity In Practice Expertise Redefined From Accumulative to Congregative Model Convergence Requires: Ramification, Sampling, Critique Better pedagogy depends on appropriate platforms Connectivity between learning and social network (Barbour, 2009; Lebler 2008) New parameters for peer-review  In nursing – (Battin Littler, 2009)
Conceptualizing and Re-thinking Understanding requires motion Lines of Flight “Noisy” Contexts Complex and Multiple understandings Podcasting Model: Self-Evaluative & Productive (not responsive) communication.  Connectivity Model:  Explodes Learning potential and de-centers teaching) Swarm Model:  Collage or multiple centers for learning.  Move away from ‘Sequentialism’.

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Schmidt Cms Online Presentation

  • 1. Pedagogy, Understanding and Online Learning Patrick Schmidt, Ph.D. Westminster College of Rider University
  • 2. Status and Growth 20% of all students in HE in US enrolled in at least one online course (Allen & Seaman, 2007) Over half of 3.9 million students receiving online instruction are in 2-year colleges 36.5% growth since 2005 35% of higher education institutions offered entire programs online by 2006 (Bolliger and Wasilik, 2009) 12 States adopt statewide ‘standards’ provided by ‘Quality Matters’ group – ‘Peer review’ based upon 8 criteria divided into 40 standards 173 virtual Charter Schools: 98, 235 Sts in 18 states (Tucker, 2007) US DOE 2009 report: Importance of Online; but differences don’t allow for direct comparison between online and traditional classrooms
  • 3. Pedagogy and Function Cost-efficiency and Investment Development and delivery Market based client satisfaction in ‘student satisfaction’ (‘the’ most important issue according to American Distance Education Consortium) – problem? While online courses present higher degree completion rates, students often lack online socialization Student Drop-out: single courses; lack norms for interactivity Assess to larger and diverse population? (Local phenomena) Unequal access to resources Workload perception – Initial Curve & Stasis Phenomena Teacher Burnout – (Hogan and McKnight, 2007) Does online provide PD or Learning environment for teachers Co-optation of system? CUNY is moving to ‘partial’ online classes, diminished class time and more classes in schedule
  • 4. Fluency and Fragility Technology no longer as mere tool, but the way in which the world shows up for us Evaluate if students understand what they know is significant issue David Perkins characterizes ‘fragile’ knowledge specifying: forgotten, inert, naïve or ritual Challenge of unthinking responses to low-level questions Higher-order-thinking and ‘postings’ (McLaughlin, 2009): Triggering: 3.4%; Exploration: 52.5%; Integration: 34.3%; Resolution: 5.4%. Classroom and personal interaction can ‘veil’ understanding by equating it with ‘personal expression’ Challenge to create ‘predicting processes’ in uncovering knowledge
  • 5. Dialogue and Reflexivity In Practice Expertise Redefined From Accumulative to Congregative Model Convergence Requires: Ramification, Sampling, Critique Better pedagogy depends on appropriate platforms Connectivity between learning and social network (Barbour, 2009; Lebler 2008) New parameters for peer-review In nursing – (Battin Littler, 2009)
  • 6. Conceptualizing and Re-thinking Understanding requires motion Lines of Flight “Noisy” Contexts Complex and Multiple understandings Podcasting Model: Self-Evaluative & Productive (not responsive) communication. Connectivity Model: Explodes Learning potential and de-centers teaching) Swarm Model: Collage or multiple centers for learning. Move away from ‘Sequentialism’.

Editor's Notes

  1. Predictive processes is a practical way to expand online the notion of dialogue and questioning. If we ask students to constantly imagine the task at hand in conjunction to a ‘prediction’ of what might follow we insert a questioning culture in a process that can be disconnected at times. Prevents the unthinking reproduction of text knowledge.
  2. Online systems may provide – Steady and complex feedback systems and loops Interaction in different ways Reinterpretation of how students see ‘time’ in classroomHowever…Murkiness is important in learning and sequentialism in online can prevent