1 / 28

Publishing Your Work for Research and Practitioner Audiences

Publishing Your Work for Research and Practitioner Audiences. Rose Zbiek & Glen Blume Penn State University 16 May 2008 PAMTE. Writing a Great Paper. Do I have something worth writing about?. Write about what you know. Find out what’s out there. Identify an audience.

orde
Download Presentation

Publishing Your Work for Research and Practitioner Audiences

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Publishing Your Work for Research and Practitioner Audiences Rose Zbiek & Glen Blume Penn State University 16 May 2008 PAMTE

  2. Writing a Great Paper

  3. Do I have something worth writing about? • Write about what you know. • Find out what’s out there. • Identify an audience. • Be clear about “what is new” here for this audience.

  4. What makes a paper good enough to publish? • Make a point. • Make a point rather than tell what you're doing/did. • Strong and concise examples illustrate your point and provide the necessary background (e.g., what GSP can do). • Make sure the figures/tables/graphics are needed and clear.

  5. I’m not a really good writer. What can I do? • Proofread and spell check. • Check flow of paper and tone. • Have others read it before submission. • Perhaps try a presentation first to float the ideas and refine the message.

  6. How might we organize to jointly write an article? • Discuss the idea first--brainstorm the message. • Divide and conquer--use the talents. • Keep on task and topic. • Check for “written by committee” feel. • Decide authorship (who and order).

  7. Identifying a Venue

  8. How do I decide where to submit it? • One project/idea could go many ways. • Find out what fits the publication before you start. • Read the publication before you submit (or start write). • Watch for focus issues/themes.

  9. How do I make a case for where I publish? • Review process (e.g., double blind) • Authors of pieces (e.g.,national) • Acceptance rate (e.g., ≈60%) • Audience (e.g., resource for teachers, peers) • Circulation (e.g., 1400-2300) • Reviews (e.g., PCTM yearbook in MT) • External reviewers • Personal statement

  10. Practitioner Venues

  11. I know about PCTM but are there other places? • “Local” review: PCTM magazine, MAA section newsletter • State+: PCTM yearbook and other state pubs (e.g., PASCD, The New York State Mathematics Teachers Journal) • National: NCTM journals, NCTM yearbook, AMTE monograph, CITE

  12. We do this great activity. How can we publish it? • Be sure it’s not “commonplace.” • Know it can be “done” in other places in a reasonable way. • Double check for good mathematics and pedagogy. • Be clear about goal of activity – articulate learning goal beyond fun.

  13. Do I need student work or handouts? Maybe not but … • Absence of student work in appropriate places might imply no one ever tried it in the classroom. • Convey that it is applicable for classroom. • Avoid seeming clueless about the “real” classroom world.

  14. What are pitfalls of a paper about our classes? • Doesn’t share the insights and decisions, rationale and reflection – how are we doing this and why are we doing it this way • Not enough detail (e.g., “we followed this up with a worksheet”) • Worksheet/tasks given but no sense of whole-class discussion or how the work was “pulled together” • Details of a classroom that are not related to the lesson

  15. What do we probably not need to say? • Assumes reader needs remediation • Talking at or down to teachers

  16. Researcher Venues

  17. What do I need in a research ms? • Make sure all the parts are there and they fit together • Question • Framework • Participants • Data: sources, collection, analysis • Results, discussion • Various journals (e.g., JMTE, MTL, ESJ)

  18. What’s a theoretical framework? • Not simply a literature review • Influences all parts of study (e.g., data analysis) • Explains a phenomenon • Positions the study in the broader field

  19. I have data from my class. Do I write about it? • Research questions are field matters and not only local matters (e.g., how well does our tutoring by prospective teachers work) • Study isn’t done because we can collect data

  20. What’s a research question? • Research questions are researchable questions (e.g., What’s the better way to teach ELL students mathematics?) • “So what” is not answered (e.g., we know that students do this but how is that important) • “Nobody did this before” or “fill a gap in the literature” doesn’t cut it.

  21. What kind of papers don’t fly? • Comparing vague alternatives (e.g., technology versus no technology, reform curricula versus traditional) • Deficit studies (e.g., evidence that teachers don’t know, can’t do anything well enough)

  22. What goes into a good literature review? • Not a single focus or lack of grounding in the literature and no awareness of other work • Lit review is more than a laundry list • Lit review doesn’t need everything ever read • Connections to all parts (e.g., instruments, conclusions) to the literature

  23. How much detail do we include about the data? • Psychometric properties are needed • Justify why the data are good Note: Can’t make a case for instruments that do not match research question constructs (e.g., Teacher knowledge of function measured by PRAXIS II content exam)

  24. What do we say about our data analysis? • Thoughtful data analysis without a “trust me” attitude • Evidence of looking for disconfirming evidence in qualitative studies • Analysis of data rather than description of data

  25. What’s a pitfall for a quantitative study? • No attention to the unit of analysis • Writing about statistical tests as if writing/copying a textbook • Calling things “significant” or “different” when the stats don’t support the claim

  26. What goes in a discussion/conclusion? • Claims given as findings are supported by the data. • Conclusions/implications that are not a leap of faith from the empirical work.

  27. How can I tick off a reviewer or editor? • Annoying the reviewer with sloppiness, poor writing (have someone else read it) • Submit a math proof or lesson plan for research • Miss purpose of abstract or key words • Have a good idea or good paper and not submit it

More Related