Can dynamic visualizations improve middle school students' understanding of energy in photosynthesis?

Dynamic visualizations have the potential to make abstract scientific phenomena more accessible and visible to students, but they can also be confusing and difficult to comprehend. This research investigates how dynamic visualizations, compared to static illustrations, can support middle school students in developing an integrated understanding of energy in photosynthesis. Two hundred 7th‐grade students were randomly assigned to either a dynamic or a static condition and completed a web‐based inquiry unit that encourages students to make connections among energy concepts in photosynthesis. While working on the inquiry unit, students in the dynamic condition interacted with a dynamic visualization of energy transformation, whereas students in the static condition interacted with a series of static illustrations of the same concept. The results showed that students in both conditions added new, scientific ideas about energy transformation and developed a more coherent understanding of energy in photosynthesis. However, when comparing the two conditions, we found a significant advantage of dynamic visualization over static illustrations. Students in the dynamic condition were significantly more successful in articulating the process of energy transformation in the context of chemical reactions during photosynthesis. Students in the dynamic condition also demonstrated a more integrated understanding of energy in photosynthesis by linking their ideas about energy transformation to other energy ideas and observable phenomena of photosynthesis than those students in the static condition. This study, consistent with other research, shows that dynamic visualizations can more effectively improve students' understanding of abstract concepts of molecular processes than static illustrations. The results of this study also suggest that with appropriate instructional support, such as making predictions and distinguishing among ideas, both dynamic visualizations and static illustrations can benefit students. This study underscores the importance of curriculum design in ensuring that dynamic visualizations add value to science instructional materials. © 2012 Wiley Periodicals, Inc. J Res Sci Teach 49: 218–243, 2012     

Pre-university Chemistry Students in a Mimicked Scholarly Peer Review

Peer review is a significant component in scientific research. Introducing peer review into inquiry processes may be regarded as an aim to develop student understanding regarding quality in inquiries. This study examines student understanding in inquiry peer reviews among pre-university chemistry students, aged 16–17, when they enact a design of a mimicked scholarly peer review. This design is based on a model of a human activity system. Twenty-five different schools in Brazil, Germany, Poland and The Netherlands participated. The students (n?=?880) conducted in small groups (n?=?428) open inquiries on fermentation. All groups prepared an inquiry report for peer review. These reports were published on a website. Groups were randomly paired in an internet symposium, where they posted review comments to their peers. These responses were qualitatively analyzed on small groups’ level of understanding regarding seven categories: inquiry question, hypothesis, management of control variables, accurate measurement, presenting results, reliability of results, discussion and conclusion. The mimicked scholarly review prompted a collective practice. Student understanding was significantly well on presenting results, discussion and conclusion, and significantly less on inquiry question and reliability of results. An enacted design, based on a model of a human activity system, created student understanding of quality in inquiries as well as an insight in a peer-reviewing practice. To what extent this model can be applied in a broader context of design research in science education needs further study.     

Learning from Chemical Visualizations: Comparing generation and selection

Dynamic visualizations can make unseen phenomena such as chemical reactions visible but students need guidance to benefit from them. This study explores the value of generating drawings versus selecting among alternatives to guide students to learn chemical reactions from a dynamic visualization of hydrogen combustion as part of an online inquiry unit. In prior research, generation has been more successful than selection in helping students distinguish among ideas to learn complex topics. However, selecting among perplexing alternatives may motivate learners to distinguish among ideas they might otherwise neglect. To test the value of selection for helping students distinguish ideas, this study contrasted complex selection (involving normative as well as non-normative ideas identified in prior research) from typical selection (involving images from the visualization). Results showed that all conditions improved student understanding and that typical selection was less effective than generation while complex selection was as successful as generation. In both generation and complex selection students revisited the visualization while learning, whereas revisiting was rare in typical selection. These results support the idea that distinguishing among common non-normative ideas is more valuable than distinguishing among images from the visualization. In addition, for students with low prior knowledge, both generation and complex selection had some advantages. Overall, the results suggest that students learning from complex visualizations could benefit from a combination of complex selection and generation.     

When academics integrate research skill development in the curriculum

This study considered outcomes when 27 academics explicitly developed and assessed student research skills in 28 regular (non-research methods) semester-length courses. These courses ranged from small (n?=?17) to medium-large (n = 222) and included those from first year to masters in business, engineering, health science, humanities and science, across five universities in three Australian cities. The two-year study used three data sets to determine the outcomes of development and assessment initiatives: student pre- (n?=?779) and post-questionnaires (n?=?601), interviews with students (n?=?46) one year after completing a course that developed research skills and interviews with academics (n?=?17) involved in developing and assessing student research skills. These multiple sources provided evidence that students developed a variety of discipline-specific research skills and that these skills were useful for subsequent studies and especially for employment. Academics indicated that the process of making explicit the development of student research skills led to enhancement of their teaching, helping the academics to clarify major course purposes as well as enabling them to provide more substantial feedback to students than in the past. Academics also indicated that this teaching process changed their understanding of disciplinary research and, for some, even suggested new directions in their research.     

Identifying patterns of students' performance on simulated inquiry tasks using PISA 2015 log-file data

Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses (product data), students' log files offer additional insights into how the responses were produced (process data). In this study, we examined students' log files to detect patterns of students' interactions with computer-based assessment and to determine whether unique characteristics of these interactions emerge as distinct profiles of inquiry performance. Knowledge about the characteristics of these profiles can shed light on why some students are more successful at solving simulated inquiry tasks than others and how to support student understanding of scientific inquiry through computer-based environments. We analyzed the Norwegian PISA 2015 log-file data, science performance as well as background questionnaire (N = 1,222 students) by focusing on two inquiry tasks, which required scientific reasoning skills: coordinating the effects of multiple variables and coordinating theory and evidence. Using a mixture modeling approach, we identified three distinct profiles of students' inquiry performance: strategic, emergent, and disengaged. These profiles revealed different characteristics of students' exploration behavior, inquiry strategy, time-on-task, and item accuracy. Further analyses showed that students' assignment to these profiles varied according to their demographic characteristics (gender, socio-economic status, and language at home), attitudes (enjoyment in science, self-efficacy, and test anxiety), and science achievement. Although students' profiles on the two inquiry tasks were significantly related, we also found some variations in the proportion of students' transitions between profiles. Our study contributes to understanding how students interact with complex simulated inquiry tasks and showcases how log-file data from PISA 2015 can aid this understanding.     

Using the Science Writing Heuristic to Improve Undergraduate Writing in Biology

Our objective was to investigate the impact of the Science Writing Heuristic (SWH) on undergraduates’ ability to express logical conclusions and include appropriate evidence in formal writing assignments. Students in three laboratory sections were randomly allocated to the SWH treatment (n?=?51 students) with another three sections serving as a control (n?=?47 students). All sections received an identical formal writing assignment to report results of laboratory activities. Four blinded raters used a 6-point rating scheme to evaluate the quality of students’ writing performance. Raters’ independent scoring agreement was evaluated using Cronbach's α. Paper scores were compared using a t-test, then papers were combined into low-scoring (3.5 of 6 points) or high-scoring (>3.5 of 6 points) sets and SWH and control cohorts were compared using Pearson's chi-square test. Papers from the SWH cohort were significantly (P?=?0.02) more likely to receive a high score than those from the control cohort. Overall scores of SWH cohort papers tended to be higher (P?=?0.07) than those from the control cohort. Gains in student conceptual understanding elicited by the SWH approach improved student ability to express logical conclusions about their data and include appropriate evidence to support those conclusions in formal research reports. Extending the writing tasks of the SWH to formal writing assignments can improve the ability of undergraduates to argue effectively for their research findings.     

Effects of Technology-Mediated Vocabulary Intervention for Third-Grade Students with Reading Difficulties

Abstract

In this experimental study, we examined the effects of a technology-mediated intervention to improve students’ understanding of academic vocabulary and its impact on measures of vocabulary and comprehension. The Vocabulators program was implemented in two states involving 24 teachers and 200 third-grade students identified as in need of supplemental vocabulary instruction. Individual students within each classroom were randomly assigned to treatment (n?=?100) or typical instructional practices (n?=?100) conditions. In the treatment condition, students received, on average, 29 lessons on vocabulary and comprehension. Results of linear regression analyses showed statistically significant and practical effects on experimenter-developed proximal measures of decoding (ES = 0.52), expressive vocabulary (ES = 0.78), receptive vocabulary (ES = 0.51), and near transfer measures of understanding vocabulary in sentences (ES = 0.65), and informational text comprehension (ES = 0.28). Group performance did not differ statistically on near transfer measures of sentence verification with vocabulary and narrative text comprehension as well as distal standardized measures of general vocabulary or reading comprehension. Findings suggest the potential impact of technology-based vocabulary/comprehension lessons to supplement typical instruction.     

Promoting Linguistically Diverse Students’ Short-Term and Long-Term Understanding of Chemical Phenomena Using Visualizations

Ensuring that all students, including English language learners (ELLs) who speak English as a second language, succeed in science is more challenging with a shift towards learning through language-intensive science practices suggested by the Next Generation Science Standards (NGSS). Interactive visualization technologies have the potential to support science learning for all students, including ELLs, by providing explicit representations of unobservable scientific systems. However, whether and how such technologies can be beneficial for these underserved students has not been sufficiently investigated. In this study, we examine the short-term and long-term effects of interactive visualizations in improving linguistically diverse eighth-grade students’ understanding of properties of matter and chemical reactions during inquiry instruction. The results show that after interacting with the visualizations, both ELLs and non-ELLs showed significant improvement in their understanding of the target concepts at the molecular level on both the immediate test and the delayed test (3 months after the study). In particular, aligned with the goals of the NGSS, all students, including ELLs, were able to demonstrate their understanding of how energy and matter are involved in chemistry through developing molecular models, critiquing models, and constructing scientific explanations. This study shows the potential benefits of using interactive visualizations during inquiry instruction as a resource to help all students, including ELLs who are traditionally underserved in mainstream classrooms, develop a more coherent understanding of abstract concepts of molecular processes during chemical phenomena.     

Exploring the Impacts of Cognitive and Metacognitive Prompting on Students’ Scientific Inquiry Practices Within an E-Learning Environment

This study explores the effects of metacognitive and cognitive prompting on the scientific inquiry practices of students with various levels of initial metacognition. Two junior high school classes participated in this study. One class, the experimental group (n?=?26), which received an inquiry-based curriculum with a combination of cognitive and metacognitive prompts, was compared to the other class, the comparison group (n?=?25), which received only cognitive prompts in the same curriculum. Data sources included a test of inquiry practices, a questionnaire of metacognition, and worksheets. The results showed that the mixed cognitive and metacognitive prompts had significant impacts on the students’ inquiry practices, especially their planning and analyzing abilities. Furthermore, the mixed prompts appeared to have a differential effect on those students with lower level metacognition, who showed significant improvement in their inquiry abilities. A combination of cognitive and metacognitive prompts during an inquiry cycle was found to promote students’ inquiry practices.     

Predicting Students’ Skills in the Context of Scientific Inquiry with Cognitive,Motivational, and Sociodemographic Variables

Research on predictors of achievement in science is often targeted on more traditional content-based assessments and single student characteristics. At the same time, the development of skills in the field of scientific inquiry constitutes a focal point of interest for science education. Against this background, the purpose of this study was to investigate to which extent multiple student characteristics contribute to skills of scientific inquiry. Based on a theoretical framework describing nine epistemological acts, we constructed and administered a multiple-choice test that assesses these skills in lower and upper secondary school level (n?=?780). The test items contained problem-solving situations that occur during chemical investigations in school and had to be solved by choosing an appropriate inquiry procedure. We collected further data on 12 cognitive, motivational, and sociodemographic variables such as conceptual knowledge, enjoyment of chemistry, or language spoken at home. Plausible values were drawn to quantify students’ inquiry skills. The results show that students’ characteristics predict their inquiry skills to a large extent (55%), whereas 9 out of 12 variables contribute significantly on a multivariate level. The influence of sociodemographic traits such as gender or the social background becomes non-significant after controlling for cognitive and motivational variables. Furthermore, the performance advance of students from upper secondary school level can be explained by controlling for cognitive covariates. We discuss our findings with regard to curricular aspects and raise the question whether the inquiry skills can be considered as an autonomous trait in science education research.     

Distinguishing complex ideas about climate change: knowledge integration vs. specific guidance

We compared two forms of automated guidance to support students’ understanding of climate change in an online inquiry science unit. For specific guidance, we directly communicated ideas that were missing or misrepresented in student responses. For knowledge integration guidance, we provided hints or suggestions to motivate learners to analyze features of their response and seek more information. We guided both student-constructed energy flow diagrams and short essays at total of five times across an approximately week-long curriculum unit. Our results indicate that while specific guidance typically produced larger accuracy gains on responses within the curriculum unit, knowledge integration guidance produced stronger outcomes on a novel essay at posttest. Closer analysis revealed an association between the time spent revisiting a visualization and posttest scores on this summary essay, only for those students in the knowledge integration condition. We discuss how these gains in knowledge integration extend laboratory results related to ‘desirable difficulties’ and show how autonomous inquiry can be fostered through automated guidance.     

Qualitative graphing in an authentic inquiry context: How construction and critique help middle school students to reason about cancer

Inquiry instruction often neglects graphing. It gives students few opportunities to develop the knowledge and skills necessary to take advantage of graphs, and which are called for by current science education standards. Yet, it is not well known how to support graphing skills, particularly within middle school science inquiry contexts. Using qualitative graphs is a promising, but underexplored approach. In contrast to quantitative graphs, which can lead students to focus too narrowly on the mechanics of plotting points, qualitative graphs can encourage students to relate graphical representations to their conceptual meaning. Guided by the Knowledge Integration framework, which recognizes and guides students in integrating their diverse ideas about science, we incorporated qualitative graphing activities into a seventh grade web-based inquiry unit about cell division and cancer treatment. In Study 1, we characterized the kinds of graphs students generated in terms of their integration of graphical and scientific knowledge. We also found that students (n = 30) using the unit made significant learning gains based on their pretest to post-test scores. In Study 2, we compared students' performance in two versions of the same unit: One that had students construct, and second that had them critique qualitative graphs. Results showed that both activities had distinct benefits, and improved students' (n = 117) integrated understanding of graphs and science. Specifically, critiquing graphs helped students improve their scientific explanations within the unit, while constructing graphs led students to link key science ideas within both their in-unit and post-unit explanations. We discuss the relative affordances and constraints of critique and construction activities, and observe students' common misunderstandings of graphs. In all, this study offers a critical exploration of how to design instruction that simultaneously supports students' science and graph understanding within complex inquiry contexts.     

“Applying anatomy to something I care about”: Authentic inquiry learning and student experiences of an inquiry project

Despite advances to move anatomy education away from its didactic history, there is a continued need for students to contextualize their studies to make learning more meaningful. This article investigates authentic learning in the context of an inquiry‐based approach to learning human gross anatomy. Utilizing a case‐study design with three groups of students (n = 18) and their facilitators (n = 3), methods of classroom observations, interviews, and artifact collection were utilized to investigate students' experiences of learning through an inquiry project. Qualitative data analysis through open and selective coding produced common meaningful themes of group and student experiences. Overall results demonstrate how the project served as a unique learning experience where learners engaged in the opportunity to make sense of anatomy in context of their interests and wider interdisciplinary considerations through collaborative, group‐based investigation. Results were further considered in context of theoretical frameworks of inquiry‐based and authentic learning. Results from this study demonstrate how students can engage anatomical understandings to inquire and apply disciplinary considerations to their personal lives and the world around them. Anat Sci Educ 10: 538–548. © 2017 American Association of Anatomists.     

The Interplay of the Classroom Learning Environment and Inquiry‐based Activities

This quasi‐experimental study investigates how the classroom learning environment changed after inquiry‐based activities were introduced and student questioning was encouraged. Three science teachers and three classes of fifth graders (n=92) participated in this study. The analysis of covariance reveals that although the experimental group students perceived that their teacher’s support was significantly lower than that for the comparison group did (p< 0.05), they were significantly more involved in learning (p< 0.05) than their counterparts. Classroom observations of student questioning and inquiry activities revealed that those students with high quality levels in asking or responding to questions outperformed their counterparts in the inquiry ability of designing experimental procedures.     

Modelling water systems in an introductory undergraduate course: Students’ use and evaluation of data-driven,computer-based models

ABSTRACT

Introductory undergraduate courses present an opportunity to use disciplinary concepts in solving authentic problems. Making complex natural systems accessible to students through computer-based models allows them to practice making evidence-based predictions and communicate understanding. Despite the importance of modelling tools in formal classrooms, gaps exist in our understanding of how post-secondary students engage in computer-based modelling. Introductory courses, particularly in the hydrosciences, typically do not use these tools. This mixed methods study examines students’ model-based reasoning about a water-related issue over two years in response to a flipped course model. Students in an introductory water course learned basic hydrologic content and used a computer-based water model to complete a project. Data came from a pre-/post-course assessment, student assignments, and student interviews. Results of quantitative and qualitative data analyses show that students in the revised version of the course (Year 2, n?=?53) increased their understanding of core hydrology concepts and performed better on their evaluation of a computer-based water model, than students in the initial course (Year 1, n?=?38). We tentatively attribute these observed changes to increased active learning opportunities surrounding computer-based modelling of water systems. Findings contribute to science literacy development, undergraduate science learning environment design, and undergraduate scientific modelling.     

The Impact of an Inquiry-Based Geoscience Field Course on Pre-service Teachers

The purpose of this quasi-experimental study was to determine the effects of a field-based, inquiry-focused course on pre-service teachers?? geoscience content knowledge, attitude toward science, confidence in teaching science, and inquiry understanding and skills. The field-based course was designed to provide students with opportunities to observe, compare, and investigate geological structures in their natural environment and to gain an understanding of inquiry via hands-on learning activities designed to immerse students in authentic scientific investigation. ANCOVA and MANCOVA analyses examining differences in outcome measures between students in the field experience (n?=?25) and education students enrolled in the traditional, classroom-based course (n?=?37) showed that students in the field course generally had significantly higher scores. Results provide evidence of the value of the field and inquiry-based approach in helping pre-service teachers develop the needed skills and knowledge to create effective inquiry-based science lessons.     

Uncovering the Potential: The Role of Technologies on Science Learning of Middle School Students

There is, no doubt, untapped potential in using technological tools to enhance the understanding of science concepts. This study examines the potential by observing 7th and 8th grade middle school students’ (n = 23) use of portable data collection devices in a nine-week elective class, Exploring Technologies. Students’ use of the data collection devices and subsequent interactions were traced through audiocassette and videocassette recordings, field notes, and student artifacts. The culminating activity for the course was a scientific investigation that required students to use the technologies to answer student-selected research questions. To illustrate the use of technology as a mediatory tool, an inquiry investigation of three student groups is described. In examining the three groups of middle school students the researchers encountered specific evidence of technology maximizing students’ science learning. The students were able to use the portable data collection devices in their investigations as they discussed scientific ideas related to temperature and heat. The study’s findings indicated that the three student groups were able to use the tools to conduct scientific inquiry and engage in scientific discourse. Further research on instructional approaches that allow students to develop expertise by using technology as tools to construct knowledge about complex phenomena is encouraged.     

Science career aspiration and science capital in China and UK: a comparative study using PISA data

ABSTRACT

The concept of science capital has a growing influence in science education research for understanding young people’s science trajectories. Popularised in the UK, this paper aims to extend and evaluate the applicability of science capital in the context of China by drawing on PISA2015. More specifically, we make use of existing items in the PISA2015 survey as a proxy for operationalising the construct of science capital to explore the science career aspirations and attainments of 15-year-old Chinese and UK students (n?=?23,998). Our findings indicate that science capital has more explanatory power for understanding UK students’ science career aspirations than for Chinese students, where science attainment seems most important. We raise the potential challenge for Chinese students to convert their science capital into scientific self-efficacy and science career aspirations as we highlight the importance of recognising cultural and national differences in operationalising science capital.     

The triarchic theory of intelligence and computer-based inquiry learning

Sternberg's (1985) triarchic theory of human intelligence distinguished among three types of intellectual abilities: analytic, creative, and practical. Our study explored the relationships between student abilities and the cognitive and attitudinal outcomes that resulted from student immersion in a computer-based inquiry environment. In particular, we examined outcome variables related to content understanding, problem solving, and science-related attitudes. Results indicated that more practical abilities predicted greater content understanding and transfer of problem-solving skills. High analytic abilities were predictive of content understanding but not transfer of problem-solving skills. High creative abilities predicted problem solving, but were not predictive of performance on content understanding. In terms of science-related attitudes, students who were dominant in practical abilities had significantly more positive posttest attitudes than those dominant in analytic abilities. The results from this study were used to make recommendations regarding design principles used in the subsequent development of computer-based inquiry environments.