ALA-Reader

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ALA-Reader v1.01 (2005/04/01)

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Developed by: Roy B. Clariana, College of Education, Penn State University
License: Free&Closed source
Web page : Tool homepage
Tool type : Application software

Tool.png

The last edition of this page was on: 2014/11/11

The Completion level of this page is : Low


SHORT DESCRIPTION

Quote from the software home page (11/2014): Here is a software tool that can translate written text summaries directly into proximity files (prx) that can be analyzed by Pathfinder KNOT. It also generates text proposition files that can be imported by CMAP Tools to automatically form concept maps from the text. It should be of use to researchers who want to visualize "text" for various instructional and research-related reasons. Also it should work with different languages.

ALA-Reader contains a rudimentary scoring system. Essentially, this tool converts the written summary into a cognitive map and then scores the cognitive map using an approach that we developed for scoring concept maps. The "score" produced is percent agreement with an expert referent. As I narrow down what algorithms work, then I plan to release updated versions periodically.


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is somewhat difficult to use.

Tool orientation

This tool is specially designed for learning sciences analysis.

Data mining type

This tool is made for Text mining.

Manipulation type

This tool is designed for Data analysis.

IMPORT FORMAT :

EXPORT FORMAT :


Tool objective(s) in the field of Learning Sciences

Analysis & Visualisation of data
Predicting student performance
Student modelling
Social Network Analysis (SNA)
Constructing courseware

Providing feedback for supporting instructors:
Recommendations for students
Grouping students:
Developing concept maps:
Planning/scheduling/monitoring
Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type:
  • Data analysis of type:
  • Data visualisation of type: (These visualisations can be updated in "real time" )



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: Basic

PROGRAMMING: N/A

SYSTEM ADMINISTRATION: Basic

DATA MINING MODELS: Medium



FREE TEXT


Tool version : ALA-Reader v1.01 2005/04/01
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Developed by : Roy B. Clariana, College of Education, Penn State University
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Tool Web page : http://www.personal.psu.edu/rbc4/score.htm
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Tool type : Application software
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Free&Closed source

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1 SHORT DESCRIPTION


Quote from the software home page (11/2014): Here is a software tool that can translate written text summaries directly into proximity files (prx) that can be analyzed by Pathfinder KNOT. It also generates text proposition files that can be imported by CMAP Tools to automatically form concept maps from the text. It should be of use to researchers who want to visualize "text" for various instructional and research-related reasons. Also it should work with different languages.

ALA-Reader contains a rudimentary scoring system. Essentially, this tool converts the written summary into a cognitive map and then scores the cognitive map using an approach that we developed for scoring concept maps. The "score" produced is percent agreement with an expert referent. As I narrow down what algorithms work, then I plan to release updated versions periodically.

2 TOOL CHARACTERISTICS


Tool orientation Data mining type Usability
This tool is specially designed for learning sciences analysis. This tool is designed for Text mining. Authors of this page consider that this tool is somewhat difficult to use.
Data import format Data export format
. .


Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☐ Predicting student performance
☐ Student modelling
☐ Social Network Analysis (SNA)
☐ Constructing courseware

☐ Providing feedback for supporting instructors:
☐ Recommendations for students
☐ Grouping students:
☐ Developing concept maps:
☐ Planning/scheduling/monitoring
Experimentation/observation


Can perform data extraction of type:

Can perform data transformation of type:

Can perform data analysis of type:

Can perform data visualisation of type:
(These visualisations can be updated in "real time" )


3 ABOUT USER


Tool is suitable for:
Students/Learners/Consumers:☐ Teachers/Tutors/Managers:☐ Researchers:☑ Organisations/Institutions/Firms:☐ Others:☐
Required skills:
Statistics: BASIC Programming: System administration: BASIC Data mining models: MEDIUM

4 OTHER TOOL INFORMATION


No screenshot.jpg
ALA-Reader
Free&Closed source
Roy B. Clariana, College of Education, Penn State University
2005/04/01
v1.01
http://www.personal.psu.edu/rbc4/score.htm
Quote from the software home page (11/2014): Here is a software tool that can translate written text summaries directly into proximity files (prx) that can be analyzed by Pathfinder KNOT. It also generates text proposition files that can be imported by CMAP Tools to automatically form concept maps from the text. It should be of use to researchers who want to visualize "text" for various instructional and research-related reasons. Also it should work with different languages.

ALA-Reader contains a rudimentary scoring system. Essentially, this tool converts the written summary into a cognitive map and then scores the cognitive map using an approach that we developed for scoring concept maps. The "score" produced is percent agreement with an expert referent. As I narrow down what algorithms work, then I plan to release updated versions periodically.

Learning Sciences analysis
Analysis & Visualisation of data
Researchers
Basic
N/A
Basic
Medium
Application software
Text mining
Data analysis
somewhat difficult to use
Low

5 Constraintings and limitations

This tool requires:

  • A files that includes a structured definition of 30 terms (max).
  • Writing 2 expert files
  • Essay files can only include 30 sentences

6 Other tools

As explained in the introduction, this tool produces a proximity matrix and two other tools are needed for analysis:

  • KNOT (Pathfinder KNOT). The Knowledge Network Organizing Tool (KNOT) is built around the Pathfinder network generation algorithm and includes several tools.
  • CMAP Tools Concept mapping software.

7 Links

http://www.personal.psu.edu/rbc4/

8 Bibliography

The author of this package used this software for several studies, for example:

  • Clariana, R.B., & Koul, R. (2004). A computer-based approach for translating text into concept map-like representations. In A.J.Canas, J.D.Novak, and F.M.Gonzales, Eds., Concept maps: theory, methodology, technology, vol. 2, in the Proceedings of the First International Conference on Concept Mapping, Pamplona, Spain, Sep 14-17, pp.131-134. See http://cmc.ihmc.us/papers/cmc2004-045.pdf.
  • Clariana, R. B., Wallace, P. E., & Godshalk, V. M. (2009). Deriving and measuring group knowledge structure from essays: The effects of anaphoric reference. Educational Technology Research and Development, 57, 725–737.
  • Clariana, R. B., & Taricani, E. M. (2010). The consequences of increasing the number of terms used to score open-ended concept maps. International Journal of Instructional Media, 37, 163–173.
  • Roy B. Clariana, Michael B. Wolfe, Kyung Kim (2014). The influence of narrative and expository lesson text structures on knowledge structures: alternate measures of knowledge structure, Educational Technology Research and Development 62 (5), http://dx.doi.org/10.1007/s11423-014-9348-3

Other studies using the software:

  • Draper, D. (2010). The instructional effects of knowledge-based community of practice learning environments on student achievement and knowledge convergence. Doctoral dissertation retrieved July 22, 2014, from https://etda.libraries.psu.edu/paper/10629/.
  • Klois, S. S., Segers, E., Clariana, R. B., & Verhoeven, L. (2013). Effects of links in children’s digital text comprehension. A presentation with paper at the Twentieth Annual Meeting Society for the Scientific Study of Reading, Hong Kong (July).

About Pathfinder:

  • Schvaneveldt, R. W. (Ed.). (1990). Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex.
Facts about "ALA-Reader"
Analysis orientationLearning Sciences analysis +
Data analysis objectiveAnalysis & Visualisation of data +
Data manipulation typeData analysis +
Data tool typeApplication software +
End user typeResearchers +
Has completion levelLow +
Has descriptionQuote from the
Quote from the [http://www.personal.psu.edu/rbc4/score.htm software home page (11/2014): Here is a software tool that can translate written text summaries directly into proximity files (prx) that can be analyzed by Pathfinder KNOT. It also generates text proposition files that can be imported by CMAP Tools to automatically form concept maps from the text. It should be of use to researchers who want to visualize "text" for various instructional and research-related reasons. Also it should work with different languages. ALA-Reader contains a rudimentary scoring system. Essentially, this tool converts the written summary into a cognitive map and then scores the cognitive map using an approach that we developed for scoring concept maps. The "score" produced is percent agreement with an expert referent. As I narrow down what algorithms work, then I plan to release updated versions periodically.
to release updated versions periodically. +
Has interface usabilitysomewhat difficult to use +
Has last revision numberv1.01 +
Has nameALA-Reader +
Has websitehttp://www.personal.psu.edu/rbc4/score.htm +
Is developed byRoy B. Clariana, College of Education, Penn State University +
Last editionNovember 11, 2014 +
License typeFree&Closed source +
Mining tool typeText mining +
User data mining models levelMedium +
User programming levelN/A +
User statistics levelBasic +
User system engineering levelBasic +
Was last released onApril 1, 2005 +