Testing the ecological validity of teacher-provided versus student-generated postquestions in reading college science text

This study compared the achievement of high- and low-reading-ability students in two classes of a one-semester introductory college biology course after they either received and used teacher-provided questions posed at various taxonomic levels on textual reading assigned over a five-week period (Group 1) or learned via training to generate and use their own questions at the identical taxonomic levels based on the same text over the same period of time (Group 2). Independent variables included (a) form of questioning (teacher provided and self-generated), (b) reading ability (low and high), and (c) question type (referent, literal, interpretive, inferential, and self-critical). Dependent variables included scores from weekly quizzes and from a summative examination. Results indicated that (a) training students to generate and answer their own questions based on text reading had a favorable effect on their midrange (weekly quiz) performance; (b) relative to long-range (summative exam) performance, training students to generate and answer their own questions based on study reading was no more efficacious than providing students with questions based on the same text; and (c) teacher-provided questions at the literal level facilitated the acquisition of intended and incidental discrimination material better than teacher-provided questions at any other taxonomic level.     

Key skills for science learning: the importance of text cohesion and reading ability

To explore the importance of text cohesion, we conducted two experiments. We measured online (reading times) and offline (comprehension accuracy) processes for texts that were high and low cohesion. In study one (n?=?60), we manipulated referential cohesion using noun repetition (high cohesion) and synonymy (low cohesion). Students showed enhanced comprehension accuracy and faster comprehension responses for text that were high in referential cohesion. In study two (n?=?52), we examined connective text designs (‘because’, ‘and’ and ‘no connective’). Students demonstrated enhanced reading times for text using a ‘because’ connective. Additionally, we examined the individual differences (reading ability, science self-concept and self-esteem) as predictors of achievement with science comprehension tasks. Across both experiments reading ability predicted comprehension with both high (noun-repetition text and ‘and’ text) and low cohesion text (synonym text and ‘no connective’ text). These findings highlight the importance of good reading abilities and text cohesion for promoting science comprehension and learning.     

Eye-movement modeling of integrative reading of an illustrated text: Effects on processing and learning

Integrative processing of verbal and graphical information is crucial when students read an illustrated text to learn from it. This study examines the potential of a novel approach to support the processing of text and graphics. We used eye movement modeling example (EMME) in the school context to model students' integrative processes of verbal and pictorial information by replaying a model's gazes while reading an illustrated text on a topic different from that of the learning episode. Forty-two 7th graders were randomly assigned to an experimental (EMME) or a control condition (No-EMME) and were asked to read an illustrated science text about the food chain. Online measures of text processing and offline measures of reading outcomes were used. Eye-movement indices indicated that students in the EMME condition showed more integrative processing than students in the No-EMME condition. They also performed better than the latter in the verbal and graphical recall, and in the transfer task. Finally, the relationship between the duration of reprocessing the graphical segments while rereading the correspondent verbal segments and transfer performance was stronger in the EMME condition, after controlling for the individual differences of prior knowledge, reading comprehension, and achievement in science. Overall, the findings suggest the potential of eye-tracking methodology as an instruction tool.     

Learning strategies in an 'ideal' computer-based learning environment

An experiment was conducted with 30 postgraduate students to discover how they might go about learning from an 'ideal' computer-based environment. A system was created which preserved the appearance of a computer-based interaction, yet which freed itself from the constraints of current technology. The students, although not aware of this at the time, were in fact interacting with two human experts, backed up with appropriate documentation and computer files, via a computer screen. The results suggest a number of different learning strategies linked to relatively successful and less successful learning. Implications for the design of computer-based learning materials are discussed.     

Learner-generated drawing as a strategy for learning from content area text

Learner-generated drawing is a strategy that can improve learning from expository text. In this paper, a model of drawing construction is proposed and the experimental design tests hypotheses derived from this model. Fourth and sixth grade participants used drawing under three experimental conditions with two conditions including varying degrees of support. On a problem solving posttest, both supported drawing groups scored higher than the non-drawing Control group. Although the grade by condition interaction was not significant, there was a strong trend in this direction. When sixth grade participants were considered independently, participants in the most supported drawing condition also obtained higher problem solving scores than those who drew without support. There were no significant condition effects for fourth grade nor were there any significant effects on a multiple-choice recognition posttest. Results were consistent with hypotheses and are discussed in light of the proposed theoretical framework.     

Uncovering the effect of text structure in learning from a science text: An eye-tracking study

This study examined whether reading a refutational or non-refutational text would induce different cognitive processing, as revealed by eye-movement analyses. Unlike a standard expository text, a refutational text acknowledges a reader’s alternative conceptions about a topic, refutes them, and then introduces scientific conceptions as viable alternatives. Forty university students read one or the other type of text about the phenomenon of the tides. All had alternative conceptions about the topic. Findings showed that at post-test (off-line measure) refutational text readers learned more than non-refutational text readers. Outcomes regarding indices of visual behavior (on-line measures) during reading revealed that refutational text readers fixated the text segments presenting scientific concepts for a longer time overall than non-refutational text readers, in particular during the second-pass reading. Refutational text readers also fixated the refutational segments for a shorter time than non-refutational text readers for the control segments. Furthermore, all indices of visual attention predicted learning only for the refutational text readers. The more the students’ reading of the refutational text was strategic, the better they learned from it. Implications about eye-tracking methodology and the refutational effect are drawn.     

Completion problems can reduce the illusions of understanding in a computer-based learning environment on genetics

Inaccurate judgments of task difficulty and invested mental effort may negatively affect how accurate students monitor their own performance. When students are not able to accurately monitor their own performance, they cannot control their learning effectively (e.g., allocate adequate mental effort and study time). Although students' judgments of task difficulty and invested mental effort are closely related to their study behaviors, it is still an open question how the accuracy of these judgments can be improved in learning from problem solving. The present study focused on the impact of three types of instructional support on the accuracy of students' judgments of difficulty and invested mental effort in relation to their performance while learning genetics in a computer-based environment. Sixty-seven university students with different prior knowledge received either incomplete worked-out examples, completion problems, or conventional problems. Results indicated that lower prior knowledge students performed better with completion problems, while higher prior knowledge students performed better with conventional problems. Incomplete worked-out examples resulted in an overestimation of performance, that is, an illusion of understanding, whereas completion and conventional problems showed neither over- nor underestimation. The findings suggest that completion problems can be used to avoid students' misjudgments of their competencies.     

A computer-based spatial learning strategy approach that improves reading comprehension and writing

This article explores the effectiveness of a computer-based spatial learning strategy approach for improving reading comprehension and writing. In reading comprehension, students received scaffolded practice in translating passages into graphic organizers. In writing, students received scaffolded practice in planning to write by filling in graphic organizers and in translating them into passages. Based on a cluster-randomized sampling process, 2,468 students distributed in 12 schools and 69 classrooms participated in the study. Schools were randomly assigned to the computer-based instruction (CBI) group or traditional instruction (TI) group. Teachers assigned to the CBI treatment integrated the applications into the language arts curriculum during one school semester. A standardized test was used to measure reading comprehension and writing. The data were analyzed through a statistical multilevel model. The findings showed that students in the CBI group improved their reading and writing skills significantly more than students under TI—yielding an effect size d = 0.30.     

The relationship between student-generated learning issues and self-study in problem-based learning

A major assumption of problem-based learning (PBL) is that learning issues, generated by students while discussing a problem, are used as guides for self-directed learning activities. This assumption, though basic to PBL, has never been tested. At the University of Limburg, the Netherlands, two procedures have been developed that reflect the extent to which students are able to identify important learning issues given a particular problem, and whether subsequent, independent, learning corresponds with these learning issues. The focus of the present article will be on the relationship between the two. We have explored to what extent student-generated learning issues are a major factor influencing the nature of students' self-study, or whether other factors may be involved in decisions on what to study and how much time to spend on topics selected. First, the production of learning issues was studied and represented as the percentage of overlap between learning issues raised by students and pre-set faculty objectives for each problem. The second procedure consisted of the administration of a Topic Checklist (TOC) which purports to measure students' actual self-directed learning activities. The TOC consists of a list of topics specifying the intended course content. Students were asked to indicate on a five-point Likert scale how much time they had spent studying each topic and to what degree they had mastered that topic. Third, learning issues and TOC topics were compared directly in a qualitative sense. Comparisons between the procedures revealed that a low proportion of variance of TOC scores could be predicted from the percentage of faculty objectives identified for each problem and the direct match between learning issues and TOC scores. It is concluded that scrutinizing student-generated learning issues and topics covered during self-study may provide information about what content is covered by students in tutorial groups. The discrepancy between the results of the measurements suggests, however, that learning issues produced during group discussion are not the sole source on which students base self-study decisions. Several other factors may be involved, such as tutor guidance, content already covered in previous units, issues raised during sessions with resource persons, and the nature of the learning resources available. Therefore, the relationship between learning issues and content covered during self-study is not as straightforward as is suggested.     

SciEthics Interactive: science and ethics learning in a virtual environment

Learning in immersive 3D environments allows students to collaborate, build, and interact with difficult course concepts. This case study examines the design and development of the TransGen Island within the SciEthics Interactive project, a National Science Foundation-funded, 3D virtual world emphasizing learning science content in the context of ethical dilemmas. The 2 year development process is examined through the lens of the rapid prototyping instructional design model, following the project from conceptualization to implementation of a 3D simulation. Through expert interviews, focus groups, and working groups, we were able to determine critical scientific and ethical issues to present to learners in the virtual world. We collected data on 53 students using the simulation at universities in the United States and South Africa and evaluated their experience using qualitative and quantitative methods. Results showed that student participants were engaged and motivated by the simulation. The students reported an increase in science knowledge and ethical understanding, but individual experiences varied.     

Designing and delivering representation-focused science lessons in a digital learning environment

Educational technology research and development - Inquiry-based representation-focused approaches in science education have shown promising outcomes when students engage in knowledge building via...     

Cultural communication learning environment in science classes

Classroom communication often involves interactions between students and teachers from dissimilar cultures, which influence classroom learning because of their dissimilar communication styles influenced by their cultures. It is therefore important to study the influence of culture on classroom communication that influences the classroom verbal and nonverbal interactions. The purpose of this study was to develop and validate a new instrument to assess eight scales of students?? classroom communication learning environment: Body Language, Communication Rate, Communication Loudness, Eye Contact, English Usage, Verbal Support, Intra-gender Communication and Inter-gender Communication. The instrument was administered to 1,723 upper-secondary biology students in Brunei government schools. The alpha reliability (0.58?C0.91) and discrimination validity (0.08?C0.13) coefficients for these scales were within acceptable ranges. Statistically significant ??² coefficients suggested that the instrument was able to differentiate between participating biology classes. Students perceived a low level verbal support and sometimes higher teacher communication rate in their classes. Dialects other than English, which is the medium of instruction, have been used in biology classes to some extent. There is a strong tendency for intra-gender than inter-gender communications in classes, which could limit the effectiveness of teaching and learning in constructivist classes     

Effects of learning cycle and traditional text on comprehension of science concepts by students at differing reasoning levels

Research has found the learning cycle to be effective for science instruction in hands‐on laboratories and interactive discussions. Can the learning cycle, in which examples precede the introduction of new terms, also be applied effectively to science text? A total of 123 high school students from two suburban schools were tested for reasoning ability, then randomly assigned to read either a learning cycle or traditional text passage. Immediate and delayed posttests provided concept comprehension scores that were analyzed by type of text passage and by reasoning level. Students who read the learning cycle passage earned higher scores on concept comprehension questions than those who read the traditional passage, at all reasoning levels. This result supports the hypothesis that reading comprehension and scientific inquiry involve similar information‐processing strategies and confirms the prediction that science text presented in the learning cycle format is more comprehensible for readers at all reasoning levels. © 1999 John Wiley & Sons, Inc. J Res Sci Teach 36: 23–37, 1999.     

浅谈阅读中的想像与学生创新能力的培养

素质教育的核心是培养学生的创新能力 ,创新能力来自创造性思维。创造性思维是各种思维品质中最为积极最有价值的思维形式 ,同时又是一切创新活动的基础和核心。想像则是思维的翅膀 ,是培养学生创新能力的重要条件之一 ,它是以形象思维为基础 ,把过去的认识和材料重新联系起来经过大脑加工改造而创造出新形象的过程。因此在阅读中 ,让学生展开想像的翅膀 ,在广阔的思维空间遨游 ,不仅可以使文中所描绘的事物具体化、形象化 ,帮助学生理解内容 ,获得美感 ,而且会使学生发现和再创造新的形象 ,从而培养学生的创新能力。想像可以由色而想、由形…     

Drawing pictures during learning from scientific text: testing the generative drawing effect and the prognostic drawing effect

Does using a learner-generated drawing strategy (i.e., drawing pictures during reading) foster students' engagement in generative learning during reading? In two experiments, 8th-grade students (Exp. 1: N = 48; Exp. 2: N = 164) read a scientific text explaining the biological process of influenza and then took two learning outcome tests. In Experiment 1, students who were asked to draw pictures during reading (learner-generated drawing group), scored higher than students who only read (control group) on a multiple-choice comprehension test (d = 0.85) and on a drawing test (d = 1.15). In Experiment 2, students in the learner-generated drawing group scored significantly higher than the control group on both a multiple-choice comprehension test (d = 0.52) and on a drawing test (d = 1.89), but students who received author-generated pictures in addition to drawing or author-generated pictures only did not. Additionally, the drawing-accuracy scores during reading correlated with comprehension test scores (r = .623, r = .470) and drawing scores (r = .620, r = .615) in each experiment, respectively. These results provide further evidence for the generative drawing effect and the prognostic drawing effect, thereby confirming the benefits of the learner-generated drawing strategy.     

Prizing children's science information books: the text,reading and the reader

The Royal Society Young People's Book Prize is awarded annually in the United Kingdom for the best science information book, and the winning book is chosen by panels of young people. This article discusses the findings of a study of the responses to the books and to their judging experience of young people who participated on panels in the 2011 Royal Society Young People's Book Prize. Interviews were conducted with 46 young people, aged from 8 to 14 years, from across the United Kingdom. The nature of contemporary non‐fiction books is discussed, specifically science information books. The impact of their design and format on reading is explored, as is the social nature of reading, which was a consequence of the judging panel context. The young people had opinions on the age range for which each book was most suitable, but they generally did so in such a way as to include themselves. It was found that their judging responsibilities contributed to these young people displaying a positive reading identity and sense of self‐efficacy.     

Prior knowledge,reading skill,and text cohesion in the comprehension of science texts

This study examined how text features (i.e., cohesion) and individual differences (i.e., reading skill and prior knowledge) contribute to biology text comprehension. College students with low and high levels of biology knowledge read two biology texts, one of which was high in cohesion and the other low in cohesion. The two groups were similar in reading skill. Participants' text comprehension was assessed with open-ended comprehension questions that measure different levels of comprehension (i.e., text-based, local-bridging, global-bridging). Results indicated: (a) reading a high-cohesion text improved text-based comprehension; (b) overall comprehension was positively correlated with participants' prior knowledge, and (c) the degree to which participants benefited from reading a high-cohesion text depended on participants' reading skill, such that skilled participants gained more from high-cohesion text.     

Effects of disfluency and test expectancy on learning with text

Do students learn better with texts that are Open image in new window (i.e., disfluent)? Previous research yielded discrepant findings concerning this question. To clarify these discrepancies, the present study aimed at identifying a boundary condition that determines when disfluent text is, and is not, beneficial to learning. This boundary condition is knowledge about whether a test will follow (high test expectancy) versus not (low test expectancy). Participants with high test expectancy may already engage in effortful processing, so that making text harder-to-read (disfluent) might not change their processing mode any further. Thus, particularly when no test is expected, disfluency is supposed to exert its beneficial effect. This assumption was tested in a 2?×?2 design (N?=?97) with text legibility (fluent vs. disfluent) and test expectancy (low vs. high) as factors, and learning outcomes (retention, transfer) and learning times as main dependent variables. Results revealed that high test expectancy led to better learning outcomes (for retention and transfer), but disfluent text did not. Unlike expected, there was no interaction between the two factors. Moreover, both high test expectancy and disfluency led to longer learning times, resulting in a lower efficiency when learning with disfluent compared to fluent text. Hence, the present results further question the stability and generalizability of a positive disfluency effect on learning, because only high test expectancy – but not disfluency - stimulated better learning through more effortful processing the way it was supposed to.