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Three strategies for assessment in autonomous language learning. Joan Jamieson, Northern Arizona University, USA & Carol A. Chapelle, Iowa State University, USA. Three Strategies. Adaptivity Feedback Self-assessment. An Adaptive Strategy.

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three strategies for assessment in autonomous language learning

Three strategies for assessment in autonomous language learning

Joan Jamieson, Northern Arizona University, USA

&

Carol A. Chapelle, Iowa State University, USA

three strategies
Three Strategies
  • Adaptivity
  • Feedback
  • Self-assessment
an adaptive strategy
An Adaptive Strategy
  • Learner would benefit from more than one form of material
  • Computer should select appropriate form based on responses to questions
overview of lea
Overview of LEA

Beginning Reading

Beginning Listening

Beginning Writing

Results &

Recommendations

Interest and Ability Finder

Intermediate Reading

Intermediate Listening

Intermediate Writing

Results &

Recommendations

Advanced Reading

Advanced Listening

Advanced Writing

Results &

Recommendations

the interest survey
The Interest Survey
  • Select test form
  • Select recommendations
a feedback strategy
A Feedback Strategy
  • Learner benefits from total scores
  • Learner might benefit more from part scores
part scores reflect subskills
Part Scores Reflect Subskills
  • Tests are often made up of subskills
  • Each item can be coded according to subskill
  • Scores for subskills can be computed by including codes
tags for leo tests
Tags for LEO Tests

TAG What the TAG means

L listening

LIN listening for information

LID listening for ideas

G grammar

G1 grammar point 1

G2 grammar point 2

G3 grammar point 3

S speaking

V vocabulary

R reading

P pronunciation

P1 pronunciation point 1

P2 pronunciation point 2

using tags with system variables
Using Tags with System Variables
  • “score” yields percentage correct
  • score (tag) yields percentage correct for any items with a given “tag”
  • score (G2) yields percentage correct of 2nd point of grammar—expressions for suggesting
combining tags and system variables
Combining Tags and System Variables

score (L | G | V | S | P | R)

n/m1= “rawscore(LIN) / tqw(LIN)”

n/m2= “rawscore(LID) / tqw(LID)”

n/m3= “rawscore(G1) / tqw(G1)”

n/m4= “rawscore(G2) / tqw(G2)”

n/m5= “rawscore(G3) / tqw(G3)”

mock up of progress report screen
Mock-up of Progress Report Screen

Progress Report

LEO 3 Test

Learner’s name:

Score: score (L | G | V | S | P | R)

Language area Number correct/number of items

Listening for information n/m1

Listening for ideas n/m2

Grammar (point1*) n/m3

Grammar (point2*) n/m4

Grammar (point3*) n/m5

a self assessment strategy
A Self-Assessment Strategy
  • Learner may benefit by comparing his/her perspective of performance with score
  • Computer can collect self-confidence data along with performance data
example of self confidence item
Example of Self-Confidence Item

Was your answer correct? How sure are you? Click a circle below.

Completely Not sure at all

sure

superimposed self assessment item
Superimposed Self-Assessment Item

Was your answer correct? How sure are you? Click in a circle for each answer.

1.

2.

3.

Completely Not sure

sure at all

computing average confidence tarone and yule 1989
Computing Average Confidence (Tarone and Yule, 1989)

Circle clicked 5 4 3 2 1 total average confidence

correct answers 20 5 3 2 0 29 4.52

incorrect answers 0 0 4 5 2 11 2.00

(20*5)+(5*4)+(3*3)+(2*2)+(0*1)/29 = 4.52

(4*3)+(5*2)+(2*0)/11 = 2.00

Tarone, E., & Yule, G. (1989). Focus on the language learner. Oxford, UK: Oxford University Press.

computing self monitoring index
Computing Self-Monitoring Index
  • Derived by subtracting self-confidence rating on incorrect items from self-confidence rating on correct items:

4.52 – 2.00 = 2.52

  • Index ranges in value from 4 to - 4
  • Messages could be provided instead of numbers
self assessment superimposed onto progress report
Self-Assessment Superimposed onto Progress Report

Self-Assessment: You seem to be aware of your own ability. When you gave the correct answer, you were very sure you were correct. When you gave the wrong answer, you were not too sure you were correct.

implementing self assessment
Implementing Self-Assessment
  • Tag self-assessment items <SA>
  • Save value of “rawscore (SA)” separately for correct and incorrect items:
    • IF ANSWER = 1 THEN SAOK = SAOK + rawscore (SA)
    • IF ANSWER = 0 THEN SANO = SANO + rawscore (SA)
calculating average scores
Calculating Average Scores
  • AVGSAOK = SAOK / # CORRECT ITEMS
  • AVGSANO = SANO / # INCORRECT ITEMS
  • MONITORING INDEX = AVGSAOK-AVGSANO
three strategies for individualizing assessment
Three Strategies for Individualizing Assessment
  • Adapting level, content, and recommendations based on learner’s responses
  • Additional feedback in the form of diagnostic scores
  • Self-assessment to heighten learner’s metacognitive awareness
three strategies for assessment in autonomous language learning1

Three strategies for assessment in autonomous language learning

Joan Jamieson, Northern Arizona University, USA

&

Carol A. Chapelle, Iowa State University, USA

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