How Do Applied Linguists and Programmers Speak Psychology?

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Presentation transcript:

How Do Applied Linguists and Programmers Speak Psychology? Punjaporn Pojanapunya King Mongkut’s University of Technology Thonburi (KMUTT), Thailand punjaporn.poj@mail.kmutt.ac.th 30 May 2018

A research tool used in Psychology - IAT Research team Psy AL CS A research tool used in Psychology - IAT To investigate students’ implicit attitudes towards NS and NNS teachers To apply a research tool in Psychology, IAT Applied Linguists To develop the IAT Computer science

Multidisciplinary collaboration Benefits Challenges Address complex questions and problems Knowledge production and innovation Time and effort Researchers have different background knowledge and research experience

Challenges in communication Computer sciences Applied Linguistics Psychology Three areas of studies Unique ‘language’ Technical jargon of specificity Language understood by all members

This study Applied Linguistics Shared ‘language’ Computer sciences Applied Linguistics Psychology Shared ‘language’ Common channels of communication: Line, skype, phone calls, f2f, emails A briefing document

Implicit Association Test https://implicit.harvard.edu/implicit/selectatest.html ‘‘a measure of strengths of automatic associations” which examines performance speeds on classification tasks” (Greenwald et al., 2003, p. 197) The IAT measures the strength of associations between concepts and stereotypes. What is the IAT? Male Science Female Liberal Arts Man Girl Humanities Biology sort words into categories (left & right on the screen) Making a response is easier when closely related items share the same response key. How to interpret IAT? Gender - Science

Gender – Science Male Female Association Science Liberal Arts Man, Son, Father, Boy, Uncle, Grandpa, Husband, Male Female Mother, Wife, Aunt, Woman, Girl, Female, Grandma, Daughter Association Liberal Arts & Females Science Astronomy, Math, Chemistry, Physics, Biology, Geology, Engineering Liberal Arts History, Arts, Humanities, English, Philosophy, Music, Literature Science & Males Source: https://implicit.harvard.edu/implicit/demo/selectatest.html

Other IATs Weight ('Fat - Thin' IAT) Sexuality ('Gay - Straight' IAT) Age ('Young - Old' IAT) Skin-tone ('Light Skin - Dark Skin' IAT) https://implicit.harvard.edu/implicit/selectatest.html

no implicit preference NESTs – NNESTs no implicit preference NESTs Michael, William, David, Nicholas, Sophia, Elizabet, Julia NNESTs Tanapon, Teeradech, Chokchai, Nipaporn, Sunisa, Wipawan, Sureerat Positive Active, creative, enjoyable, flexible, open-minded Negative Passive, derivative, cheerless, rule-bound, dogmatic Watson Todd, R. and Pojanapunya, P. (2009). Implicit attitudes towards native and non-native speaker teachers. System, 37(1), 23-33.

7 parts of IAT Questionnaire IAT IAT output Block No. of trials Function Items assigned to left-key response Items assigned to right-key response 1 20 Practice NEST names Non-NEST names 2 Positive adjectives Negative adjectives 3 NEST names + positive adjectives Non-NEST names + negative adjectives 4 40 Test 5 6 Non-NEST names + positive adjectives NEST names + negative adjectives 7 Questionnaire IAT IAT output

Communication AL CS A briefing document Psy background to IAT Applied Linguists Computer science A briefing document

How to create a briefing document List all components of a program and technical options Create codes and assign a color or font style to each of the options, together with description for the codes Type the program content in a Word document, together with the codes and descriptions on the first page Pojanapunya, P. (2012). Teacher-Programmer collaboration in CALL design: describes successful collaboration in materials design. Modern English teacher, 21(1), 38-41.

IAT components & technical options 1 IAT components & technical options Questionnaire IAT for NESTs and NNESTs Drop down list Checkbox Multiple choice Reaction times on the IAT Static and dynamic pages Statistical analysis Analysis results display

2 3 Briefing document Page 1: Briefing Text in black = content of the program Text in Green = notes and requests for the programmer Text in Red = revised content [Page 1], 2, 3, … = webpage Blue = hyperlink = text boxes 3 Text box

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