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Effect of Prior Knowledge on Good and Poor Readers' Memory of Text

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Abstract

We investigated how prior knowledge influences the amount of short-term nonverbal and verbal memory and long-term retention in students of high and low ability in reading comprehension. Sixty-four junior high students were divided into four equal-sized groups on the basis of preassessed reading ability (high and low) and preassessed amount of existing prior knowledge about baseball (high and low). Each subject silently read an account of a half inning of a baseball game. After reading, each subject recalled the account nonverbally by moving figures and verbally by retelling the story. After an interpolated task, they summarized the game and sorted passage sentences for idea importance. There was a significant main effect for prior knowledge on all measures. No interactions between prior knowledge and ability were found. These results delineate the powerful effect of prior knowledge. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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... Prior knowledge has been shown to make a greater contribution to text comprehension than decoding or reported use of strategies (Samuelstuen & Bråten, 2005), and to make a contribution to comprehension independent of topic interest (Baldwin, Peleg-Bruckner & McClintock, 1985). Readers with more knowledge of the topic of a text also perform better on comprehension assessments than readers with less knowledge, independent of reading ability (e.g., Recht & Leslie, 1988). ...
Chapter
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In this chapter, we develop a model of integrated content-area and literacy learning in three phases. First, we review scholarship to establish how knowledge acquisition affects comprehension and how it is affected, in turn, by reading experiences. The second section of the chapter presents prior efforts in which language and literacy processes have been integrated or combined with content-area learning goals. Finally, we present theory and research for integrated instruction where knowledge acquisition is in the foreground and reading processes are developed in service of that knowledge acquisition.
... Working with others through PDI is not only a scaffold for accessing content but also a way for students to foster their curiosity, "inspire each other's wonderings" (Coiro, 2015, p. 192), and feel a sense of belonging in a community. Through a variety of expressive mediums, students are building background knowledge, which has been found to not only support reading comprehension (Cervetti & Hiebert, 2019;Recht & Leslie, 1988) and oral language development (Wright & Gotwals, 2017) but also agency in independent inquiry. ...
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Offering a heuristic to apprentice young children into the disciplines, we examine how one multiage classroom teacher leveraged the resources of personal digital inquiry to forward students’ knowledge building.
... That is, items in the reading passages were about a game of hockey among school children for instance, or about birds off the Bay of Fundi. Studies in differential item functioning did find out that previous knowledge of subjects in reading tests does influence test outcomes/performance (Recht, 1988). We wonder to what extent such factors have an impact on the students' performance in the PCAP. ...
Conference Paper
Author Malcolm Gladwell argues in both his bestsellers books The Tipping Point and Outliers that extreme intelligence is not exclusively responsible for success. Neither is giftedness. One could be extremely gifted, but if the surrounding environment is not supportive, no greatness would be achieved and no endeavor would be successful. Most importantly, Gladwell singled out perseverance as a key element of success and as being far more important than the "intelligent quotient" alone. Can the same thing be applied to school subjects? More specifically, is reading linked to personal choices and preferences? Or can the environment have an effect on reading competence? If so, what factors can sharpen the "gift" of reading? For the last 5 decades or more, these questions have been at the heart of much research around the world. In this study, we used Learning Analytics to study data in novel ways within a big data perspective. Learning Analytics (LA) is defined as the "use of data, statistical analysis, and explanatory and predictive models to gain insights and act on complex issues about the learners "by Diaz &Brown (2012). We used LA to explore factors that influence performance in reading among school children. Using a large data of set (approximately 9000 subjects) from across Canada, we aimed to find out what elements can predict excellence in advanced reading. The data is from the PanCanadian Assessment Program (PCAP), a national achievement test administered by the Council of Ministers of Education, Canada. LA allowed us to go beyond traditional statistical analysis; we were able to use data mining techniques to advance our understanding of reading competence from a big picture perspective. Instead of using only the individual results, we wanted to find what other factors influence reading beyond personal strength or intelligence alone, or more appropriately, we want to find out what contribute to building personal strength in reading. Along with the test results, the PCAP data include responses to three extensive questionnaires: from students/parents, teachers, and school administration. The extensive data, both the surveys and the test results, gave us a unique opportunity to delve into reading competence. Reading is directly linked to Literacy, identified by one of the core competencies for elementary education in Canada. Our findings were interesting since we were able to single out new factors that were not significant in other studies that relied on classical statistics methods. As an educational research tool, LA comes with new innovation at how we look at Data from elementary schools
... The amount of prior knowledge is positively associated with text comprehension after reading single (Ozuru et al., 2009;Priebe et al., 2012;Recht & Leslie, 1988; for the effects of the quality of prior knowledge see and multiple texts (Bigot grasping the meaning of sentences, need to invest cognitive resources in these processes, with the consequence that fewer resources are available for higher-level learning processes such as reading strategies (Cain et al., 2004). Furthermore, the processes undertaken during reading are assumed to take place in working memory (de Bruïne et al., 2021). ...
Thesis
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Distributed practice is a well-known learning strategy whose beneficial effects on long-term learning are well proven by various experiments. In learning from texts, the benefits of distribution might even go beyond distributed practice, i.e. distribution of repeated materials. In realistic learning scenarios as for example school or university learning, the reader might read multiple texts that not repeat but complement each other. Therefore, distribution might also be implemented between multiple texts and benefit long-term learning in analogy to distributed practice. The assumption of beneficial effects of this distributed learning can be deduced from theories about text comprehension as the landscape model of reading (van den Broek et al., 1996) in combination with theories of desirable difficulties in general (R. A. Bjork & Bjork, 1992) and distributed practice in particular (Benjamin & Tullis, 2010). This dissertation aims to investigate (1) whether distributed learning benefits learning; (2) whether the amount of domain-specific prior knowledge moderates the effects of distribution, (3) whether distributed learning affects the learner’s meta-cognitive judgments in analogy to distributed practice and (4) whether distributed practice is beneficial for seventh graders in learning from single text. In Experiment 1, seventh graders read two complementary texts either massed or distributed by a lag of one week between the texts. Learning outcomes were measured immediately after reading the second text and one week later. Judgements of learning were assessed immediately after each text. Experiment 2 replicated the paradigm of Experiment 1 while shortening the lag between the texts in the distributed condition to 15 min. In both experiments, an interaction effect between learning condition (distributed vs. massed) and retention interval (immediate vs. delayed) was found. In the distributed condition, the participants showed no decrease in performance between the two tests, whereas participants in the massed condition did. However, no beneficial effects were found in the delayed test for the distributed condition but even detrimental effects for the distributed condition in the immediate test. In Experiment 1, participants in the distributed condition perceived learning as less difficult but predicted lower success than the participants in the massed condition. Experiment 3 replicated the paradigm of Experiment 1 with university students in the laboratory. In the preregistered Experiment 4, an additional retention interval of two weeks was realized. In both experiments, the same interaction between learning condition and retention interval was found. In Experiment 3, the participants in the distributed condition again showed no decrease in performance between the two tests, whereas participants in the massed condition did. However, even at the longer retention interval in Experiment 4, no beneficial effects were found for the distributed condition. Domain-specific prior knowledge was positively associated with test performance in both experiments. In Experiment 4, the participants with low prior knowledge seemed to be impaired by distributed learning, whereas no difference was found for participants with medium or high prior knowledge. In the preregistered Experiment 5, seventh graders read a single text twice. The rereading took place either massed or distributed with one week. Immediately after rereading, judgements of learning were assessed. Learning outcomes were assessed four min after second reading or one week later. Participants in the distributed condition predicted lower learning success than participants in the massed condition. An interaction effect between learning condition and retention interval was found, but no advantage for the distributed condition. Participants with low domain-specific prior knowledge showed lower performance in short-answer questions in the distributed condition than in the massed condition. Overall, the results seem less encouraging regarding the effectiveness of distribution on learning from single and multiple texts. However, the experiments reported here can be perceived as first step in the realistic investigation of distribution in learning from texts.
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This paper develops a technique for isolating and studying the per- ceptual structures that chess players perceive. Three chess players of varying strength - from master to novice - were confronted with two tasks: ( 1) A perception task, where the player reproduces a chess position in plain view, and (2) de Groot's ( 1965) short-term recall task, where the player reproduces a chess position after viewing it for 5 sec. The successive glances at the position in the perceptual task and long pauses in tbe memory task were used to segment the structures in the reconstruction protocol. The size and nature of these structures were then analyzed as a function of chess skill. What does an experienced chess player "see" when he looks at a chess position? By analyzing an expert player's eye movements, it has been shown that, among other things, he is looking at how pieces attack and defend each other (Simon & Barenfeld, 1969). But we know from other considerations that he is seeing much more. Our work is concerned with just what ahe expert chess pIayer perceives.