How analogies foster learning from science texts

This article provides an introduction to extended text-based analogies used for instructional purposes in science textbooks. A theoretical framework for understanding learning via extended analogies is discussed, and examples of extended textual analogies are provided. Research which provides direction in how to optimally use analogies in science instruction is reviewed. Characteristics of good analogies, types of learners who might benefit from the use of analogies, and kinds of learning which might be facilitated are discussed. The issue of possible misconceptions generated via instructional analogies is addressed, in conjunction with suggestions for remediation. Finally, recommendations for effective use of analogies in text are made, suggestions for instructional practices accompanying textual science analogies are provided and directions for future research are suggested.     

Comprehension evaluation and regulation in learning from science texts

Metacognitive variables influence students' learning from science texts. This article deals with the comprehension monitoring abilities of secondary school science students, one of the areas of metacognition which has drawn considerable attention from researchers. The aims of the study are, in particular: (a) to know the extent to which comprehension is monitored by secondary science students as revealed by inconsistency detection in manipulated science texts, and (b) to identify the strategies used to regulate comprehension by the students who detect the inconsistencies. The results indicate that knowing that one understands or fails to understand science texts could be as important a problem as understanding proper. Besides, some incorrect regulatory strategies used by students who notice the inconsistencies in the texts are identified. These could also have an annoying influence in the regulatory behavior of students when studying regular science texts.     

The effects of strategy training on high school students’ learning from science texts

This research examines the effects of a reciprocal teaching intervention aimed at providing high school students. with a repertoire of strategies to integrate text and visual aid information (graphs, diagrams) while learning in science. Experimental subjects received an hour of instruction each week for 7 weeks using SLIC (Summarise, Link, Image, Check) strategies to integrate the written word with the visual aid while Controls were taught under normal class teaching methods using the same materials. Post test ANOVA’s with Treatment (Experimental, Control) and Reading Ability (Average, Below average) as the factors showed superior recall of details by average ability students in the Experimental group but no significant differences in main idea recall nor on comprehension questions. All Experimental students included a graph in their recalls and they also significantly included more linking information in their texts on the graphs. The quality of their recall graphs was superior to those of the Control group. The results of a far transfer test showed no effects of training on transfer. Implications for future research and for teaching are discussed.     

Evaluating the language of different types of explanations in junior high school science texts

Since 'it is written texts - and the talk around them - that provide the discursive means for the development of the 'higher mental functions' (Wells 1994), the quality of writing and explicit use of texts in teaching warrant close attention. This is not to diminish the importance of 'hands on' investigations, observation and negotiation of understanding through talk. However, the complementary use of effective texts has a significant role. This article demonstrates how functional language analyses differentiate explanation types and specify language features relevant to the effectiveness of texts in apprenticing students to the language forms of scientific English. Key differences between different types of explanations are illustrated, then sample text analyses show how language features index variation in explanation quality. Implications are drawn for the selection and use of texts and the role of knowledge about language in teaching critical comprehension and composition of science explanations.     

Mental rotation and diagrammatic reasoning in science

This article presents 3 studies that examine how students and experts employ mental rotation and a learned heuristic to solve chemistry tasks that involve spatial information. Results from Study 1 indicate that despite instruction in analytical strategies, students choose to employ mental rotation on canonical assessment tasks. In Study 2, experts were observed to selectively employ analytical strategies for the same tasks. In Study 3, students who used mental rotation were trained to use analytical strategies with equal success. Collectively, the 3 studies address the affordances of alternative strategies in science and the potential role of each in the classroom.     

The role of diagrammatic representation in learning sequences,identification and classification as a function of verbal and spatial ability

Grade 9 subjects learned the evolutionary sequence of dinosaurs and to classify them by type. Instruction was by menas of flow diagrams that showed the evolutionary sequence running across the page either from left to right or reversed from right to left, with or without drawings of dinosaurs. It was found that subjects seeing left-right ordered diagrams scored better on tests of sequence and classification than those seeing reversed diagrams. Also, the addition of drawings helped subjects identify dinosaurs by type. Verbal ability predicted learning as a function of treatment. Spatial ability did not. However, some evidence was found that high-spatial low-verbal subjects could classify the animals equally well from normal-order or reversed diagrams, while high-verbal subjects who were also low-spatial could classify them better if they had seen normal-order diagrams. These results suggest that diagrams provide different types of information and that learners may process each type differently.     

A new look in representations for mathematics and science learning

Representations such as formal notations and diagrams routinely figure in students' learning of mathematics and science. However, in light of the extensive research on students' misunderstanding in these subject matters, it is reasonable to ask whether other kinds of representations might help students to reach better understandings. Indeed, a number of educators have developed innovative representations, typically on computers, that supposedly foster understanding through suggestive visual analogies and microworlds to manipulate. Evaluative research on these new look representations as we call them suggests that they indeed can help students to understand.In this review, we focus on exactlyhow these representations aid understanding. We propose that they do so by facilitating the learner's construction of explanations, justifications, predictions, and the like. These constructions require search in problem spaces, in the sense of Newell and Simon (1972). The representations in question reduce the cognitive load of such searches, clarify the structure of the problem spaces that need to be searched, and make certain moves in the problem spaces more immediate. We invoke Gentner's (1983) theory of structure mapping to explain how these advantages are attained. We also examine several characteristic pitfalls of representations in this style.     

The effectiveness of conceptual change texts and concept clipboards in learning the nature of science

Background: One of the most important goals of science education is to enable students to understand the nature of science (NOS). However, generally regular science teaching in classrooms does not help students improve informed NOS views.

Purpose: This study investigated the influence of an explicit reflective conceptual change approach compared with an explicit reflective inquiry-oriented approach on seventh graders’ understanding of NOS.

Sample: The research was conducted with seventh grade students. A total of 44 students participated in the study.

Design and method: The study was an interpretive study because this study focused on the meanings that students attach to target aspects of NOS. Participants were divided into two groups, each consisting of 22 students. One of the groups learned NOS with an explicit reflective conceptual change approach. The requirements of conceptual change were provided through the use of conceptual change texts and concept cartoons. The other group learned NOS with an explicit reflective inquiry-oriented approach. The data were collected through open-ended questionnaires and semi-structured interviews. These instruments were employed in a pre-test, a post-test and a delayed test. Students’ views of the aspects of NOS were categorized as naive, transitional and informed.

Results: The result of this study indicated that before receiving instruction, most of the participants had transitional views of the tentative, empirical and imaginative and creative aspects of the NOS, and they had naive understandings of the distinction between observation and inference. The instruction in the experimental group led to a 60% – a 25% increase in the number of students who possessed an informed understanding of the tentative, empirical, creative and observation and inference aspect of the NOS. The instruction in the control group led to a 30% – a 15% increase in the informed NOS views.

Conclusion: The explicit reflective conceptual change approach is more effective than the explicit reflective inquiry-oriented approach in improving participants’ NOS conceptions. Another conclusion of this study is that if NOS is taught within the explicit reflective conceptual change approach, learners can retain learned views long after instruction.     

The role of submicroscopic and symbolic representations in chemical explanations

Chemistry is commonly portrayed at three different levels of representation – macroscopic, submicroscopic and symbolic – that combine to enrich the explanations of chemical concepts. In this article, we examine the use of submicroscopic and symbolic representations in chemical explanations and ascertain how they provide meaning. Of specific interest is the development of students' levels of understanding, conceived as instrumental (knowing how) and relational (knowing why) understanding, as a result of regular Grade 11 chemistry lessons using analogical, anthropomorphic, relational, problem‐based, and model‐based explanations. Examples of both teachers' and students' dialogue are used to illustrate how submicroscopic and symbolic representations are manifested in their explanations of observed chemical phenomena. The data in this research indicated that effective learning at a relational level of understanding requires simultaneous use of submicroscopic and symbolic representations in chemical explanations. Representations are used to help the learner learn; however, the research findings showed that students do not always understand the role of the representation that is assumed by the teacher.     

Exploring the effect of background knowledge and text cohesion on learning from texts in computer science

In this study, we examine the effect of background knowledge and local cohesion on learning from texts. The study is based on construction–integration model. Participants were 176 undergraduate students who read a Computer Science text. Half of the participants read a text of maximum local cohesion and the other a text of minimum local cohesion. Afterwards, they answered open-ended and multiple-choice versions of text-based, bridging-inference and elaborative-inference questions. The results showed that students with high background knowledge, reading the low-cohesion text, performed better in bridging-inference and in elaborative-inference questions, than those who read the high-cohesion text. Students with low background knowledge, reading the high-cohesion text, performed better in all types of questions than students reading the low-cohesion text only in elaborative-inference questions. The performance with open-ended and multiple-choice questions was similar, indicating that this type of question is more difficult to answer, regardless of the question format.     

Learning from refutation texts about scientific topics with analogical and causal explanations

Previous research has suggested that refutation texts are effective in facilitating learning and revision of misconceptions and that explanations are an essential component in their efficacy. In this study, we investigated the extent to which reading refutation texts featuring an analogy as an explanatory tool rather than a causal explanation results in different encoding processes during reading, belief in misconceptions, and confidence in beliefs. Using a think-aloud methodology, we found that a higher proportion of text-based inferences was associated with analogy texts than with non-analogy texts, and a higher proportion of knowledge-based inferences was associated with non-analogy than with analogy texts. Contrary to our hypotheses, no significant differences were found in belief in misconceptions and confidence outcomes between the text conditions. We discuss the implications of these findings in light of previous research suggesting that analogies improve learning outcomes.     

What recent research on diagrams suggests about learning with rather than learning from visual representations in science

The move from learning science from representations to learning science with representations has many potential and undocumented complexities. This thematic analysis partially explores the trends of representational uses in science instruction, examining 80 research studies on diagram use in science. These studies, published during 2000–2014, were located through searches of journal databases and books. Open coding of the studies identified 13 themes, 6 of which were identified in at least 10% of the studies: eliciting mental models, classroom-based research, multimedia principles, teaching and learning strategies, representational competence, and student agency. A shift in emphasis on learning with rather than learning from representations was evident across the three 5-year intervals considered, mirroring a pedagogical shift from science instruction as transmission of information to constructivist approaches in which learners actively negotiate understanding and construct knowledge. The themes and topics in recent research highlight areas of active interest and reveal gaps that may prove fruitful for further research, including classroom-based studies, the role of prior knowledge, and the use of eye-tracking. The results of the research included in this thematic review of the 2000–2014 literature suggest that both interpreting and constructing representations can lead to better understanding of science concepts.     

Combining verbal and visual cueing: Fostering learning pictorial content by coordinating verbal explanations with different types of visual cueing

Instructional Science - Multimedia learning scenarios in which a picture is the main focus often use combinations of verbal and visual cueing. Based on models of picture processing and multimedia...     

Static and animated graphics in learning from interactive texts

Animating the graphics in electronic documents may increase readers’ willingness to study them but may impair or distort the processes of gist comprehension. Experiment 1 confirmed that, compared with static diagrams, animation increased readers willingness to study a range of graphic genres (maps, time-lines, drawings of unfamiliar objects). Total reading time was also increased but readers’ differential access of static and animated graphics confounded the interpretation of immediate and delayed retention tests. Experiment 2 contrasted the effects of accessing the graphics before or during reading. Scores on a quiz immediately after reading were significantly higher when the graphics were seen before rather than during reading, suggesting that readers found it difficult to integrate the graphics while still building the gist of the text. Scores on both an immediate and a delayed quiz were significantly higher when the graphics were static rather than animated. One pointer to the cause of the decrement with animated graphics was that the quiz performance of readers having animated graphics correlated with their scores on a picture memory test, whereas those of readers with static graphics did not. In contrast the delayed quiz scores of readers with static graphics showed a significant interaction with their performance on a digit memory task. Readers with high scores on digit memory benefited from accessing the graphics while reading, but readers with low scores on the digit test were impaired by such access during reading. This suggests that the cognitive skills needed for integrating text with animated graphics may differ from those needed for dealing with static graphics.     

Exploring the relations between epistemic beliefs,emotions, and learning from texts

Conflicting claims about important socio-scientific debates are proliferating in contemporary society. It is therefore important to understand the individual characteristics that predict learning from conflicting claims. We explored individuals’ beliefs about the nature of knowledge and knowing (i.e., epistemic beliefs) and their emotions as potentially interrelated sets of learner characteristics that predict learning in such contexts. Undergraduate university students (N = 282) self-reported their topic-specific epistemic beliefs and were given three conflicting texts about climate change to read. Immediately after each of the three texts, participants self-reported the emotions they experienced. Following reading and self-report, participants wrote summaries of the conflicting texts. Text-mining and human coding were applied to summaries to construct two indices of learning from conflicting texts that reflected which source’s information is privileged in memory. Results from structural equation modeling revealed that epistemic beliefs were consistent in their predictions of emotions, which in turn variously predicted different learning outcomes. In particular, a belief that knowledge is justified by inquiry predicted surprise and curiosity, which at times facilitated learning. In contrast, confusion, predicted by passive reliance on external sources, related to impaired memory of conflicting content. Theoretical and methodological implications are discussed for research on the relations between epistemic beliefs, emotions, and learning about controversial topics.     

Directionality in the interrelations between approximate number,verbal number,and mathematics in preschool-aged children

A fundamental question in numerical development concerns the directional relation between an early-emerging non-verbal approximate number system (ANS) and culturally acquired verbal number and mathematics knowledge. Using path models on longitudinal data collected in preschool children (M_age = 3.86 years; N = 216; 99 males; 80.8% White; 10.8% Multiracial, 3.8% Latino; 1.9% Black; collected 2013–2017) over 1 year, this study showed that earlier verbal number knowledge was associated with later ANS precision (average β = .32), even after controlling for baseline differences in numerical, general cognitive, and language abilities. In contrast, earlier ANS precision was not associated with later verbal number knowledge (β = −.07) or mathematics abilities (average β = .10). These results suggest that learning about verbal numbers is associated with a sharpening of pre-existing non-verbal numerical abilities.     

Interest,inferences, and learning from texts

Topic interest and learning from texts have been found to be positively associated with each other. However, the reason for this positive association is not well understood. The purpose of this study is to examine a cognitive process, inference generation, that could explain the positive association between interest and learning from texts. In Study 1, sixty undergraduate students participated by reading two science texts, which differed in coherence levels, silently. The results replicated previous findings that topic interest is positively associated with recall and accurate answers to comprehension questions for both texts. In Study 2, sixty-nine undergraduate students participated by reading the same two science texts while thinking aloud. The results indicated that topic interest was positively associated with inference generation while reading for the more coherently-written text. Subsequent analyses indicated inference generation partly explained the positive association between topic interest and accurate answers to comprehension questions for the more coherently-written text. The findings from Study 2 were independent of the effects of reading comprehension skill. Theoretical implications of the findings, in regard to standards of coherence and depth of processing while reading, are discussed.     

The interplay between students' motivational profiles and science learning

Students' motivation plays an important role in successful science learning. However, motivation is a complex construct. Theories of motivation suggests that students' motivation must be conceptualized as a motivational system with numerous components that interact in complex ways and influence metacognitive processes such as self-evaluation. This complexity is further increased because students' motivation and success in science learning influence each other as they develop over time. It is challenging to study the co-development of motivation and learning due to these complex interactions which can vary widely across individuals. Recently, person-centered approaches that capture students' motivational profiles, that is, the multiplicity of motivational factors as they co-occur in students, have been successfully used in educational psychology to better understand the complex interplay between the co-development of students' motivation and learning. We employed a person-centered approach to study how the motivational profiles, constructed from goal-orientation, self-efficacy, and engagement data of N = 401 middle school students developed over the course of a 10-week energy unit and how that development was related to students' learning. We identified four characteristic motivational profiles with varying temporal stability and found that students' learning over the course of the unit was best characterized by considering the type of students' motivational profiles and the transitions that occurred between them. We discuss implications for the design and implementation of interventions and future research into the complex interplay between motivation and learning.