perfecting interaction in blended courses through discourse analysis

21
Perfecting Interaction in Blended Courses through Discourse Analysis Susan Wegmann, Ph.D. Kelvin Thompson, Ed.D University of Central Florida

Upload: kelvin-thompson

Post on 11-Jan-2015

1.234 views

Category:

Education


0 download

DESCRIPTION

Presentation at 2012 Sloan-C Blended Conference and Workshop in Milwaukee, WI

TRANSCRIPT

Page 1: Perfecting Interaction in Blended Courses through Discourse Analysis

Perfecting Interaction in Blended Courses through Discourse Analysis

Susan Wegmann, Ph.D.Kelvin Thompson, Ed.D

University of Central Florida

Page 3: Perfecting Interaction in Blended Courses through Discourse Analysis

Why Are We Here?

• “Interaction” in blended courses = wild west• Discourse analysis methods (f2f/online)

– > collect/analyze blended discourse data– > learn about effective blended interactions

• Today’s Agenda– Summarize research literature– Share easy-to-use tools– Invitation to participate

• Practitioner• Research collaborator

Page 4: Perfecting Interaction in Blended Courses through Discourse Analysis

Web Interactions

• Polls interspersed throughout– Text messaging (send code to 37607)– Twitter (tweet code to @poll)– Web site (specific url)– Specific codes to use for each response option on

each poll

• Twitter– Conference hashtag: #blend12– Tweet about this session: #blendgage– Tweet us: @SusanWegmann @kthompso

4

Page 5: Perfecting Interaction in Blended Courses through Discourse Analysis

Via web: http://bit.ly/poll_da

Page 6: Perfecting Interaction in Blended Courses through Discourse Analysis

Discourse Analysis Primer

• Oral discourse (See http://bit.ly/oralbib) – Traditionally audio recorded and transcribed– Text coded (“moves”) and analyzed for themes– Ideally, more researchers: inter-rater reliability

• Online discourse (See http://bit.ly/onlinebib) – Typically occurs via text – Text coded (“moves”) and analyzed for themes– Ideally, more researchers: inter-rater reliability

Page 7: Perfecting Interaction in Blended Courses through Discourse Analysis

The Connected Stance

• Line of discourse analysis research initiated by Wegmann & McCauley (2007, 2010)

• Relationship between student academic performance and discourse contributions– Contributions = participation + engagement– Participation = amount contributed– Engagement = richness of contributions

• Purposive sampling: High, middle, low perform

Page 8: Perfecting Interaction in Blended Courses through Discourse Analysis

Connected Stance “Moves”

• Standard themes for coding• Purposes for student contributions• How students use language

– May be simplistic or more complex– May be self-referencing or dialogical– May range from functional to sophisticated– Currently 24 “moves” tracked (extensible)

Page 9: Perfecting Interaction in Blended Courses through Discourse Analysis

Moves Delineated

• Introducing a new topic • Sharing opinion• Sharing beliefs • Connecting to other readings • Connecting to own experiences • Connecting to their own classrooms • Connecting to their own thinking • Building rapport • Suggesting organizational theme • Revealing their own struggles• Responding to a peer’s question • Giving information

• Giving advice • Connecting to a previous thought • Questioning (or wondering)• Giving an example• Sharing “Grand idea” • Challenging a peer • Connecting to course content• Using humor • Couches reply to inform audience• Leading up to a conclusion• Drawing a conclusion• Challenging course content

Page 10: Perfecting Interaction in Blended Courses through Discourse Analysis

Connected Stance Process

1. Rank order students by cumulative grade2. Compile written discourse from H, M, L students3. Paste text into two columned chart4. Code student text fragments using “moves”5. Repeat with additional rater(s)6. Tally number of words each student used7. Tally number of moves each student used8. Construct a quadrant graph (moves at bottom,

number of words vertically)9. Plot H, M, L students on graph

Page 11: Perfecting Interaction in Blended Courses through Discourse Analysis
Page 12: Perfecting Interaction in Blended Courses through Discourse Analysis

Connected Stance Findings

• Higher performing students generally contribute more to discourse and use language for more varied purposes than lower performing students = (The Connected Stance)

• Instructor intervention/facilitation can affect change toward a Connected Stance (higher participation/higher engagement) profile– 3Rs (respond, react, reply)– explicit written criteria

Page 13: Perfecting Interaction in Blended Courses through Discourse Analysis
Page 14: Perfecting Interaction in Blended Courses through Discourse Analysis

Connected Stance Status

• Qualitative data time consuming to collect/analyze (especially f2f)

• Inter-rater reliability is a challenge• Revised Approach

– Level 2: Existing Robust Methods– Level 1: New Expedited Process (SCOPe)

• Fewer “meta moves” • Increased ease of use• Increased reliability

Page 15: Perfecting Interaction in Blended Courses through Discourse Analysis

SCOPe of Interactions

• 24 “moves” consolidated to 4 “meta-moves”• Language usage in interactions that are:

– Self-referencing – Content-referencing– Other- referencing– Platform-referencing

• Worksheet tallies rather than robust analysis• See examples: http://bit.ly/SCOPe_ex

Page 16: Perfecting Interaction in Blended Courses through Discourse Analysis

SCOPe Process

1. Rank order students by cumulative grade2. Tally meta-moves by H, M, L students3. Worksheet proxy calculations for f2f word

count4. Repeat with additional rater(s)5. Follow worksheet to construct quadrant

graph 6. Plot H, M, L students on graph7. See http://bit.ly/plot_ex

Page 17: Perfecting Interaction in Blended Courses through Discourse Analysis

Some Research Questions We Have

• Under what f2f conditions with “The Connected Stance” findings manifest?

• What particular classroom interaction techniques are associated with higher student engagement f2f?

• Are student behaviors associated with engagement consistent between online and f2f contexts of a blended course? That is, are students who are highly engaged online also highly engaged f2f?

Page 18: Perfecting Interaction in Blended Courses through Discourse Analysis

Practitioner Recommendations

• Focus initially on courses in which interaction is deliberately facilitated (majority of class involved)

• Establish course (4+ weeks) before using SCOPe– Avoids orientation issues re: expectations– Allows time for interventions

Page 19: Perfecting Interaction in Blended Courses through Discourse Analysis

How Can You Get Involved?

• Get on mailing list for info/updates: http://bit.ly/connectedstance_mailinglist

• Use SCOPe to examine interactions in blended course -> inform teaching practice

• Design your own research project using Connected Stance/SCOPe models– We’d be happy to assist!

Page 20: Perfecting Interaction in Blended Courses through Discourse Analysis

QUESTIONS?COMMENTS?DISCUSSION?

Page 21: Perfecting Interaction in Blended Courses through Discourse Analysis

Contact

Dr. Susan [email protected]@SusanWegmann

Dr. Kelvin [email protected]@kthompso

http://bit.ly/blend12_connectedstance