Bob Rehder
Biographic Data
| ID | 6212704 |
|---|---|
| NAME | Bob Rehder |
| GIVEN NAMES | Bob |
| FAMILY NAME | Rehder |
| SIGNATURE | REHDER B |
| AFFILIATIONS | University of Colorado Boulder |
| ORCID | 0000-0001-7795-7108 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 2 |
Learning from text: Matching readers and texts by latent semantic analysis
This study examines the hypothesis that the ability of a reader to learn from text depends on the match between the background knowledge of the reader and the difficulty of the text information. Latent Semantic Analysis (LSA), a statistical technique that represents the content of a document as a vector in high‐dimensional semantic space based on a large text corpus, is used to predict how much readers will learn from texts based on the estimated…
Using latent semantic analysis to assess knowledge: Some technical considerations
In another article (Wolfe et al., 1998/this issue) we showed how Latent Semantic Analysis (LSA) can be used to assess student knowledge—how essays can be graded by LSA and how LSA can match students with appropriate instructional texts. We did this by comparing an essay written by a student with one or more target instructional texts in terms of the cosine between the vector representation of the student's essay and the instructional text in ques…
Cognitive Activities and Levels of Abstraction in Procedural and Object-Oriented Design
The research reported in this article provides descriptions of design activities and of the evolving designs for expert procedural and expert object-oriented (OO) designers and for novice OO designers who also had extensive procedural experience. Ten experienced programmers were observed while designing software that would serve as a scoring system for swim meet competitions. Talk-aloud protocols were collected and analyzed for different types of…
Learning from text: Matching readers and texts by latent semantic analysis
This study examines the hypothesis that the ability of a reader to learn from text depends on the match between the background knowledge of the reader and the difficulty of the text information. Latent Semantic Analysis (LSA), a statistical technique that represents the content of a document as a vector in high‐dimensional semantic space based on a large text corpus, is used to predict how much readers will learn from texts based on the estimated…
Using latent semantic analysis to assess knowledge: Some technical considerations
In another article (Wolfe et al., 1998/this issue) we showed how Latent Semantic Analysis (LSA) can be used to assess student knowledge—how essays can be graded by LSA and how LSA can match students with appropriate instructional texts. We did this by comparing an essay written by a student with one or more target instructional texts in terms of the cosine between the vector representation of the student's essay and the instructional text in ques…
Cognitive Activities and Levels of Abstraction in Procedural and Object-Oriented Design
The research reported in this article provides descriptions of design activities and of the evolving designs for expert procedural and expert object-oriented (OO) designers and for novice OO designers who also had extensive procedural experience. Ten experienced programmers were observed while designing software that would serve as a scoring system for swim meet competitions. Talk-aloud protocols were collected and analyzed for different types of…
Learning from text: Matching readers and texts by latent semantic analysis
This study examines the hypothesis that the ability of a reader to learn from text depends on the match between the background knowledge of the reader and the difficulty of the text information. Latent Semantic Analysis (LSA), a statistical technique that represents the content of a document as a vector in high‐dimensional semantic space based on a large text corpus, is used to predict how much readers will learn from texts based on the estimated…
Using latent semantic analysis to assess knowledge: Some technical considerations
In another article (Wolfe et al., 1998/this issue) we showed how Latent Semantic Analysis (LSA) can be used to assess student knowledge—how essays can be graded by LSA and how LSA can match students with appropriate instructional texts. We did this by comparing an essay written by a student with one or more target instructional texts in terms of the cosine between the vector representation of the student's essay and the instructional text in ques…
Artificial Intelligence (3 works) · Computer Science (3 works) · Latent semantic analysis (2 works) · Natural language processing (2 works) · Psychology (2 works) · Text Readability and Simplification (2 works) · Topic Modeling (2 works) · Abstraction (1 works) · Advanced Text Analysis Techniques (1 works) · Cognition (1 works)