Text Processing: Implications for Online Learning 1 Gunn, T, & Beaudin, L. C. (2006). Text Processing: Implications for Online Learning. International Journal of Knowledge, Culture and Change Management, 6 (4) pp.89-94. Introduction The ability to read and comprehend text is a well-recognized goal of education. Narrative and expository text have historically comprised the knowledge and information that is communicated in classrooms. Regardless of the decade or nation, students have sat at their desks with hard copy versions of required readings. However, with the presence of new technology and resulting modes of transmission such as web-based materials and/or multi-media objects, this experience has, and will continue to become less common. More frequently, students are being expected to search and read documents found on the Internet. While it is difficult to argue that having timely, vast amounts of information at one’s disposal is problematic, we cannot assume that information alone is sufficient. As well, in a time when literally anyone can publish a blog or Website, we have to be cognizant of the need to provide properly constructed web-based materials. Without attention to structure and design, online materials may potentially add a stumbling block to students learning effectively. For decades, text-processing research has driven effective text construction. Do the same principles apply to Internet text? Are Websites constructed with the psychology of text processing in mind? Karsenti (2001) argues that the arrival of web-based courses and other Internet resources appears to be one of the great focuses of pedagogical innovations in teacher education programs. While many claims have been made regarding the potential for web-based learning, to date, little attention has been given to online text processing. This paper will examine text processing research and its 1 Text Processing: Implications for Online Learning 2 implications for online learning. Specifically, do the same principles that guide instructional text apply to Internet sources? If so, what implications do they have for the design of online instructional materials? Text Processing Research findings indicate that word recognition processes must be accurate and automatized in order for text comprehension to occur (e.g., Adams, 1990). More simply, text comprehension depends upon the basic decoding skills of the reader. However, word recognition is only one of many reading comprehension processes. There are a several notable text processing models, but the most widely accepted is Kintsch’s (1988). He developed the construction-integration (CI) model of comprehension. Kintsch (1988, 1992) suggests that processing occurs in two stages. During the first stage (i.e. construction), concepts from the text, as well as syntax, semantic, and world knowledge are activated to produce a network of activated concepts. The activation process then continues throughout the network strengthening links between contextually compatible units or concepts and weakening those that are incompatible (i.e. integration). This continues until a stable state is achieved. The outcome is the second stage, which is referred to as the reader’s mental representation (Kintsch, 1988, 1994a, 1994b; McNamara & Kintsch, 1996). Although it is a holistic structure, a mental representation embodies a number of different components. Of primary importance are the textbase and situational models. The textbase model is created by way of those elements and relations that are found directly in the text (McNamara & Kintsch, 1996). In order to create a textbase model, the reader must have syntactic and semantic knowledge of the text, but also be able to infer 2 Text Processing: Implications for Online Learning 3 its microstructure and macrostructure. A strong textbase model contributes to high text memory. Conversely, the situation model involves meaning making. In other words, it is a representation of the situation depicted in the text (i.e., goals, events, actions, characters) (Zwaan, 1996). Meaning making is the result of combining the textbase with the reader’s prior knowledge and experience. A strong situation model contributes to high text learning. Various sources contribute to the building of a situation model including knowledge about language, the world, the specific communicative situation, as well as personal experiences (McNamara & Kintsch, 1996). These sources help to “transform what by itself is only an isolated memory structure into something that relates to, and is integrated with, the reader’s personal store of knowledge and experience” (McNamara & Kintsch, 1996, p. 252). Therefore, when the reader is unable to create a mental representation of the text, processing and understanding cannot take place. Text Elements The manner in which text is written and/or structured either helps or diminishes its comprehensibility. In order for to it be effectively processed, text must contain good coherence or structure (e.g., Kintsch, 1994a). Specifically, text microstructure is comprised of local text properties (i.e., connectives, argument overlap, pronominal reference). These properties give the text coherence at a propositional or local level (McNamara & Kintsch, 1996). Conversely, text macrostructure refers to the global organization of the text (i.e., topic headers and topic sentences). Because macrostructure specifies the most important portions of the text, the reader is aided in the construction of a strong mental representation. 3 Text Processing: Implications for Online Learning 4 According to Kintsch (e.g., 1985), if the micro- and/or macrostructure are poor, it is difficult to develop an effective textbase model. This is worsened when the reader is lacking in domain knowledge (i.e., topic familiarity). On the other hand, if the reader is knowledgeable of the topic, it is easier to build a strong situation model, despite the text being poorly written. Regardless, poorly written text is typically difficult for the reader to process and therefore not conducive to learning. Kintsch’s text processing theory has even greater implications for online learning given the Internet’s increased demands on literacy skills. For instance, online environments are often based on rules that can be unfamiliar and non-traditional to the reader. Readers are required to navigate web links, to use technological symbols and jargon, and to scroll through a paperless document, to name a few. The text-based components of online learning environments are now web-based and technology driven. In the case of online courses, students are required to create a schema of the “virtual classroom” and its contents as well as utilize a new or different skill base. Given these concerns, it is evident that text must always be clear and concise. Creating online text that has appropriate microstructure is the mandate of all authors, whether the text is online or in paper form. However, for the web author, it is important not to exchange parsimony for clarity, as there is a tendency for online text to be brief and direct. While this may be an artifact of technology (i.e., technology is designed to expedite task engagement), web authors must ensure that ideas and sentences are internally coherent. With respect to text macrostructure, it is recommended that web authors provide a site map or advanced organizer so that readers have a mental picture of how the webpage 4 Text Processing: Implications for Online Learning 5 is organized. To achieve this, the author can create a page that displays the webpage outline with an overview of topics and reading requirements. In the case of online learning environments, course sites should also be designed with an intuitive and clear internal navigation system that is easy for students to master. Therefore, it is imperative to remember that learning from text requires deliberate action on the part of the reader to comprehend and extract meaning (Cassamise and Snyder, 2005). This becomes more obvious in the online environment wherein readers typically have to rely heavily on text processing. Narrative versus Expository Text When reading narrative text, it is easy for the reader to develop a strong mental representation. The text is typically structured in a manner that is familiar to the reader. Its contents typically describe common experiences such as everyday events, personality traits, and human emotions (e.g., Graesser, Bertus, & Magliano, 1995; van Dijk & Kintsch, 1983). Even if the text has poor micro- or macrostructure, the reader can get the gist of the text and create a situation model. Obviously, this is not the case with expository text. It is full of technical jargon, theory, and assumptions about the reader’s knowledge base. This is worsened when the text is poorly written; which is a surprisingly common occurrence (e.g., Britton, van Dusen, Gulgoz, & Glynn, 1989). Some common expository text problems include poor introductory passages, a failure to link ideas together, abrupt changes in topics, poor or nonexistent headings and text signals, assumptions about reader knowledge, topic contradictions, and so forth (Gunn, 2000). 5 Text Processing: Implications for Online Learning 6 Therefore, mental representations of text, text coherence, and topic familiarity all contribute to text processing (e.g., van Dijk & Kintsch, 1983). Regardless of a reader’s technical abilities, comprehension can be difficult if one or more of these components are lacking. It is safe to presume that those searching the Internet are typically looking for news, instructional materials/guides, and domain specific information (i.e., historical, medical, economic, entertainment, etc.). That being the case, the most common genre of Internet text is expository as opposed to narrative. Expository text is defined as “text that is written to expose information or ideas. Similar to narrative text, it may be used for entertainment, persuasion, or aesthetic purposes. However, unlike its entertainment counterpart, its primary purpose is to inform the reader” (Gunn, 2000, p. 16). As explained above, expository text requires the reader to enter the text processing experience with appropriate comprehension skills. Readers should have strong decoding skills, semantic knowledge, and comprehension skills. Writers of expository text must assist their readers with properly structured materials. The text should be coherent at the micro level with appropriate syntax (i.e., grammar), topic clarity, strong argument overlap (i.e., continuity of ideas from one sentence to the next), appropriate connectives (e.g., and, or, but), and pronominal references (i.e., clear references to who and what you are referring to from sentence to sentence e.g., “Bob” is “he”). The text must also have coherence at the macro level. The text must begin with an introduction or advanced organizer for the body of the text. In addition, each paragraph should have topic sentences and concluding sentences that link adjacent 6 Text Processing: Implications for Online Learning 7 paragraphs. There should also be textual signals (i.e., headers, topical overviews, topical summaries) to assist the reader making transitions between topics and or sections of text. Potential Problems with Internet Text Despite these “musts”, Internet text is often lacking in one or more of the above cited areas. To begin, we may safely assume that a significant number of readers are not highly proficient text processors. This is further compounded by the surprisingly frequent display of poor text structure in online environments. A quick glance through a number of Websites verifies this assumption. Website text is often abruptly written, poorly formatted, and visually cumbersome. One of the most common problems is poor coherence due to non-existent or difficult to follow signaling. For example, it may be that the font is the same size as the body of the text and/or only marginally distinguishable because of coloring. Moreover, it is off center or is not distinctive from the paragraph or section that it is signaling. This is additionally problematic when the website text is surrounded by a vast array of advertisements. Also contributing to poor coherence is difficulties at the micro- and macro levels. The structure of the text is difficult to follow when sentences are presented in point form, or when the Website is forsaking clarity for brevity. Simply, the sentences appear to be loosely interconnected without attention to paragraph continuity or persuasion (i.e., poor argument overlap) While poor microstructure does not always contribute to poor macrostructure, they are often interdependent. That is, where microstructure is disjointed and weak, there are poor connections between paragraphs and sections. One of the hallmarks of good 7 Text Processing: Implications for Online Learning 8 macrostructure is appropriate headings as well as well-defined topic and concluding sentences and paragraphs. Moreover, the individual sections appear to logically flow, one to the other. Website text rarely provides these since their intention is to be a brief discussion or information source. Therefore, it is important that instructors both be attentive to this in their own webpage development, but also careful in selecting wellconstructed online resources for their students to access. When a Website is well written it will provide enough clarity to assist the reader in navigating through jargon laden, domain specific information. In other words, the expository compositions are easy to process or comprehend. As discussed earlier, poorly written text in combination with low domain knowledge often leads to poor text comprehension. One way to circumvent this problem is to help the reader link new information to his or her world or previous knowledge. This may be accomplished by using simple, clear language and everyday examples. Conclusion The goal in appropriately constructing text is to enable the reader to remember and learn from what was written. This is especially important for expository text, as its intention is to be informative, particularly when it is read by those who are attempting to acquire information (i.e., readers with low domain knowledge). This suggests that text must have strong micro- and macrostructure. For those who are designing online courses, they must be especially cognizant of the factors affecting text processing. In attending to the literature on text processing and exploring the nature of online learning, one can see that online education that is well organized has the potential to accommodate multiple learning styles. As well, the online 8 Text Processing: Implications for Online Learning 9 environment offers a unique opportunity to enhance text-based instruction in its ability to link to a variety of learning objects within a text document. For instance, while writing expository text, the online instructor can link to definitions, images, and sounds that can enhance the text processing capabilities of their students. The following guiding principals will aid online instructors as they develop and present web-based materials to their students: Include a site map or visual representation. Be sure that formatting is consistent throughout (i.e., appropriate headings, color schemes and structure). Create text that is easy to navigate and user friendly. Attend to appropriate and logical text sequencing. Create links to various other online learning objects (i.e., sound, text, and images that enhance learning and comprehension for a variety of learning styles.) In summary, the Internet is becoming a vital source of information for learning. Therefore, it is critical that Websites adhere to the principles of good text construction. By applying a few simple text construction principles to Website text, the writer and reader are guaranteed a more satisfying, meaningful reading experience. Finally, authors of online learning materials must understand that structure, navigational structure, page formatting, coherence of text, prior knowledge, reader interest, and ease of use all contribute to efficient learning from text. 9 Text Processing: Implications for Online Learning 10 References Adams, M. (1990). Beginning to Read: Thinking and learning about print. Cambridge, MA: The MIT Press. 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