Difference between revisions of "REAP Multimodal Learning Fall 09"

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The REAP software has been used for the first five years in the English Language Institute of the University of Pittsburgh to teach vocabulary through reading words in context (Heilman et al., 2006). It allows the study of many questions in vocabulary learning, text learning, and motivation for reading. Past work suggests that ESL students may know the oral form of a word without knowing the written form and raise the possibility that this knowledge could help support learning word meaning from reading documents.
 
The REAP software has been used for the first five years in the English Language Institute of the University of Pittsburgh to teach vocabulary through reading words in context (Heilman et al., 2006). It allows the study of many questions in vocabulary learning, text learning, and motivation for reading. Past work suggests that ESL students may know the oral form of a word without knowing the written form and raise the possibility that this knowledge could help support learning word meaning from reading documents.
  
[[Image:Reap context definition.jpg|500px]]
+
This is an exploratory study that will use REAP to present oral and written input to students in the ELI LearnLab. For example, while allowing students to hear as well as see words should help learning, in some instances this form of oral assistance may create too much cognitive load, thus distracting the student from attending to word meaning. The goal is explore questions such as this while establishing materials and spoken language procedures that can work in the in-vivo ELI setting.
  
 +
Here is an example of a typical instruction where the student can hear the word as he gets the definition to a word:
 +
 +
[[Image:MultimodalLearning.JPG]]
  
{| border="1"
 
|+
 
|-
 
| ||'''Passive''' || '''Active''' || '''Interactive'''
 
|-
 
| '''Explicit (general)''' || Dictionary Definitions ||  || Practice Exercises
 
|-
 
| '''Implicit (instance)''' || Interpreting meaning in context while reading || Sentence Production (assessment) || Practice Exercises
 
|}
 
  
 
=== Glossary ===
 
=== Glossary ===
Line 58: Line 52:
 
[[Normal post-test]] scores  
 
[[Normal post-test]] scores  
  
[[Normal post-test]] scores for practiced words only
+
[[Normal post-test]] scores for words that have been instructed in both modes
  
[[Long-term retention]] test scores, same post-test but administered months later.
+
[[Long-term retention]] test scores, same post-test but administered in Spring 10
  
Evidence of [[Transfer]]: sentence production tasks for target words, correct use of words in writing assignments for other courses.
+
Evidence of [[Transfer]]: sentence production tasks for target words, assessed through open-ended questions in post-test
  
 
=== Independent variables ===
 
=== Independent variables ===
[[Personalization]] of readings by topics of interest.  In the control condition, the tutor did not use potential personal interest as a factor in its selection of reading materials.  In the treatment condition, the tutor did use interest as a factor.  All other selection criteria were the same in both conditions.  Time on task was also the same.
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Number of instructions in visual modes per word
 +
 
 +
Number of instructions in auditory modes per word
  
 
=== Hypotheses ===
 
=== Hypotheses ===
  
Since intrinsic motivation seems to be important in language learning, the benefits of [[personalization]] will outweigh the costs.
+
Students that got instructions in both modes will have experienced more robust learning than students that only got visual instructions.
  
 
=== Further Information ===
 
=== Further Information ===

Latest revision as of 18:19, 9 November 2009

REAP Study on Multimodal Learning of Vocabulary

Logistical Information

Contributors Gabriel Parent, Luis Marujo, Adam Skory, Maxine Eskenazi
Study Start Date October 13, 2009
Study End Date November 20, 2009
Learnlab Courses English Language Institute Reading 4 and 5 (ESL LearnLab)
Number of Students 68
Total Participant Readings (est.) 816
Data in Datashop no

Abstract

The term “Multimodal learning” refers to learning where two or more different modes are used in order to integrate a Knowledge Component. In the particular case of vocabulary, the typical modes would be:

  • Visual ( visual word form )
  • Auditory ( auditory word form )
  • Pictorial ( picture of the concept subjacent to a word )

The object of this study is to evaluate the relationship between the visual and auditory modes in learning vocabulary.

Word learning episodes can occur through writing and speech. Spoken language knowledge is important as a foundation for reading, and may support word learning through reading. The objective of this study is to investigate under what conditions does spoken language input, when combined with written input, lead to better word learning for L2 learners.

The REAP software has been used for the first five years in the English Language Institute of the University of Pittsburgh to teach vocabulary through reading words in context (Heilman et al., 2006). It allows the study of many questions in vocabulary learning, text learning, and motivation for reading. Past work suggests that ESL students may know the oral form of a word without knowing the written form and raise the possibility that this knowledge could help support learning word meaning from reading documents.

This is an exploratory study that will use REAP to present oral and written input to students in the ELI LearnLab. For example, while allowing students to hear as well as see words should help learning, in some instances this form of oral assistance may create too much cognitive load, thus distracting the student from attending to word meaning. The goal is explore questions such as this while establishing materials and spoken language procedures that can work in the in-vivo ELI setting.

Here is an example of a typical instruction where the student can hear the word as he gets the definition to a word:

MultimodalLearning.JPG


Glossary

Research question

Under what conditions does spoken language input, when combined with written input, lead to better word learning for L2 learners?

Dependent variables

Normal post-test scores

Normal post-test scores for words that have been instructed in both modes

Long-term retention test scores, same post-test but administered in Spring 10

Evidence of Transfer: sentence production tasks for target words, assessed through open-ended questions in post-test

Independent variables

Number of instructions in visual modes per word

Number of instructions in auditory modes per word

Hypotheses

Students that got instructions in both modes will have experienced more robust learning than students that only got visual instructions.

Further Information

Annotated bibliography

Heilman, M., Collins-Thompson, K., Callan, J. & Eskenazi, M. (2006). Classroom success of an Intelligent Tutoring System for lexical practice and reading comprehension. Proceedings of the Ninth International Conference on Spoken Language Processing.