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| |field_screenshot= | | |field_screenshot= |
| |field_name=ALA-Reader | | |field_name=ALA-Reader |
| |field_developers= | | |field_developers=Roy B. Clariana, College of Education, Penn State University |
| |field_website=http://www.personal.psu.edu/rbc4/score.htm | | |field_website=http://www.personal.psu.edu/rbc4/score.htm |
| |field_data_tool_type= | | |field_data_tool_type= |
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| 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. | | 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. |
| |field_analysis_orientation=General analysis | | |field_analysis_orientation=Learning Sciences analysis |
| |field_data_analysis_objective= | | |field_data_analysis_objective=Analysis & Visualisation of data |
| |field_mining_tool_type=Text mining | | |field_mining_tool_type=Text mining |
| |field_data_manipulation_type=Data analysis, Data visualisation | | |field_data_manipulation_type=Data analysis, Data visualisation |
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| |field_last_edition=2014/11/11 | | |field_last_edition=2014/11/11 |
| }} | | }} |
| | http://www.personal.psu.edu/rbc4/ |
Revision as of 16:01, 11 November 2014
ALA-Reader
Developed by: Roy B. Clariana, College of Education, Penn State University
License:
Web page : Tool homepage
Tool type :
The last edition of this page was on: 2014/11/11
The Completion level of this page is : Low
The last edition of this page was on: 2014/11/11 The Completion level of this page is : Low
SHORT DESCRIPTION
Quote: 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 rather easy 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, Data visualisation.
| Tool objective(s) in the field of Learning Sciences |
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☑ 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
|
ABOUT USERS
Tool is suitable for:
Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others
Required skills:
SYSTEM ADMINISTRATION: Basic
DATA MINING MODELS: Medium
FREE TEXT
Tool version : ALA-Reader
(blank line)
Developed by : Roy B. Clariana, College of Education, Penn State University
(blank line)
Tool Web page : http://www.personal.psu.edu/rbc4/score.htm
(blank line)
Tool type :
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|
SHORT DESCRIPTION
Quote: 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
| 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 rather easy 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 interactive and updated in "real time")
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 |
OTHER TOOL INFORMATION
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| ALA-Reader
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| Roy B. Clariana, College of Education, Penn State University
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| http://www.personal.psu.edu/rbc4/score.htm
|
| Quote: 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
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| Analysis & Visualisation of data
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| Researchers
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| Basic
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| N/A
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| Basic
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| Medium
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| Text mining
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| Data analysis, Data visualisation
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| rather easy to use
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| Low
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http://www.personal.psu.edu/rbc4/
