Abstract
Sixty-six studies were reviewed that met several a priori criteria. Specifically, the studies had to be empirical investigations that related to a particular academic domain and that involved connected discourse presented either in traditional written form or on computer. In addition, the studies had to incorporate some measure of both knowledge and interest. The resulting body of literature was first summarized and analyzed in terms of the domains chosen, the subjects selected, the nature of the texts used, the manner in which knowledge and interest were assessed, and the principal outcomes reported. Next, from this analysis, six premises were proposed as guides for future research and practice. Finally, concluding remarks were advanced that address the overall significance of text-processing research that interactively considers the domain of knowledge and the interest of the reader.
Keywords
Subject matterA priori and a posterioriSubject (documents)Principal (computer security)Domain (mathematical analysis)Computer scienceDomain knowledgeEmpirical researchBody of knowledgeMeasure (data warehouse)PsychologyMathematics educationNatural language processingEpistemologyArtificial intelligenceData miningMathematicsKnowledge managementPedagogy
Affiliated Institutions
Related Publications
The Role of Subject-Matter Knowledge and Interest in the Processing of Linear and Nonlinear Texts
Sixty-six studies were reviewed that met several a priori criteria. Specifically, the studies had to be empirical investigations that related to a particular academic domain and...
Qualitative Data Analysis: A Sourcebook of New Methods
Part One: Introduction Part Two: Focusing and Bounding the Collection of Data Part Three: Analysis During Data Collection Part Four: Within-Site Analysis Part Five: Cross-Site A...
ANALYSIS OF MULTITRAIT-MULTIMETHOD MATRICES: A TWO STEP PRINCIPAL COMPONENTS PROCEDURE
A relatively simple technique for .assessing the convergence of sets of variables across method domains is presented. The technique, two-step principal components analysis, empi...
Machine learning in automated text categorization
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of ...
Knowing, Learning, and Instruction
Contents. L.B. Resnick, Introduction. W. Kintsch, Learning from Text. I.L. Beck, M.G. McKeown, Expository Text for Young Readers: The Issue of Coherence. G. Leinhardt, Developme...
Publication Info
- Year
- 1994
- Type
- article
- Volume
- 64
- Issue
- 2
- Pages
- 201-201
- Citations
- 20
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
20
OpenAlex
Cite This
Patricia A. Alexander,
Jonna M. Kulikowich,
Tamara L. Jetton
(1994).
The Role of Subject-Matter Knowledge and Interest in the Processing of Linear and Nonlinear Texts.
Review of Educational Research
, 64
(2)
, 201-201.
https://doi.org/10.2307/1170694
Identifiers
- DOI
- 10.2307/1170694