University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model

As many Korean universities have recommended the implementation of mobile learning (m‐learning) for various reasons, the number of such tertiary learning opportunities has steadily grown. However, little research has investigated the factors affecting university students' adoption and use of m‐learning. A sample of 288 Konkuk university students participated in the research. The process by which students adopt m‐learning was explained using structural equation modeling technique and the Linear Structural Relationship (LISREL) program. The general structural model based on the technology acceptance model included m‐learning self‐efficacy, relevance for students' major (MR), system accessibility, subjective norm (SN), perceived usefulness, perceived ease of use, attitude (AT), and behavioral intention to use m‐learning. The study results confirmed the acceptability of the model to explain students' acceptance of m‐learning. M‐learning AT was the most important construct in explaining the causal process in the model, followed by students' MR and SN.     

Model‐based reasoning about energy: A fourth‐grade case study

We report a case study of model‐based reasoning in which a small group of fourth‐grade students analyzes the energy flow when a solar panel is used to power an electric motor that spins a propeller. In developing their explanation of energy flow, the students draw on a general model of energy developed collectively by their class in the course of an experimental classroom curriculum led by a trained teacher. They also construct a model‐based representation of the specific system under study. Their investigation and reasoning process exhibit all the features of authentic scientific model‐based inquiry, including the revision of their models to incorporate new information. In the course of their work the students recruit and seamlessly integrate nearly all of the practices of science designated in the Next Generation Science Standards. This case study provides an example of what modeling‐based teaching and learning can look like in an elementary school classroom. It also suggests that the study of energy offers a particularly promising context for developing students' use of science practices, especially the practice of developing and using models.     

Skill and will: The role of motivation and cognition in the learning of college chemistry

This study investigated how students' level of motivation and use of specific cognitive and self-regulatory strategies changed over time, and how these motivational and cognitive components in turn predicted students' course performance in chemistry. Participants were 458 students enrolled in introductory college chemistry classes. Participants' motivation and strategy use were assessed at three time points over the course of one semester using self-report instruments. Results showed an overall decline in students' motivational levels over time. There was also a decline in students' use of rehearsal and elaboration strategies over time; students' use of organizational and self-regulatory strategies increased over time. These trends, however, were found to vary by students' achievement levels. In terms of the relations of motivation and cognition to achievement, the motivational components of self-efficacy and task value were found to be the best predictors of final course performance even after controlling for prior achievement.     

Science teachers' sensemaking of the use of epistemic tools to scaffold students' knowledge (re)construction in classrooms

This study explores the process of teacher scaffolding student engagement in epistemic tools from the critical sensemaking perspective. Epistemic tools are contextual artifacts manipulated to investigate and evaluate ideas to construct knowledge within the constraints of a disciplines' representational means. The main sources of our data are ~50 min-long semistructured, responsive interviews with the 14 secondary school science teachers who participated in our professional learning environment (PLE) and implemented the activities from the PLE in their classrooms. We utilized the tools of discourse analysis to explore teacher sensemaking while they learned to teach science with epistemic tools. We then looked at intertextualities of meaning across multiple sets of data such as students' artifacts, pre/postsurveys, audio and video recordings of the workshops, and teachers' written implementation feedback forms. As a result, we recognized a pattern across different classrooms. Teachers would begin with a contextualized goal, and use a pedagogical strategy to scaffold their students as they worked to achieve that goal. Then, all teachers reported they faced some sort of ambiguity (such as grappling with failure, different levels of students). When faced with an ambiguity, teachers would then revise either their contextualized goal or their initial pedagogical strategy to help their students to reach their goals. Finally, we utilized constant-comparative analysis to identify themes for teachers' contextualized goals. Four major themes emerged, including communicating connections to core ideas of science, making sense of how science works, assessing students' learning process outcomes, and fostering students' epistemic agency. The findings of the study have implications for future research and professional development activities on the use of epistemic practices and tools in classrooms with unique contextual characteristics.     

1, 2, 3, 4: Infusing Quantitative Literacy into Introductory Biology

Biology of the twenty-first century is an increasingly quantitative science. Undergraduate biology education therefore needs to provide opportunities for students to develop fluency in the tools and language of quantitative disciplines. Quantitative literacy (QL) is important for future scientists as well as for citizens, who need to interpret numeric information and data-based claims regarding nearly every aspect of daily life. To address the need for QL in biology education, we incorporated quantitative concepts throughout a semester-long introductory biology course at a large research university. Early in the course, we assessed the quantitative skills that students bring to the introductory biology classroom and found that students had difficulties in performing simple calculations, representing data graphically, and articulating data-driven arguments. In response to students'' learning needs, we infused the course with quantitative concepts aligned with the existing course content and learning objectives. The effectiveness of this approach is demonstrated by significant improvement in the quality of students'' graphical representations of biological data. Infusing QL in introductory biology presents challenges. Our study, however, supports the conclusion that it is feasible in the context of an existing course, consistent with the goals of college biology education, and promotes students'' development of important quantitative skills.     

Scientific explanations: Characterizing and evaluating the effects of teachers' instructional practices on student learning

Teacher practices are essential for supporting students in scientific inquiry practices, such as the construction of scientific explanations. In this study, we examine what instructional practices teachers engage in when they introduce scientific explanation and whether these practices influence students' ability to construct scientific explanations during a middle school chemistry unit. Thirteen teachers enacted a project‐based chemistry unit, How can I make new stuff from old stuff?, with 1197 seventh grade students. We videotaped each teacher's enactment of the focal lesson on scientific explanation and then coded the videotape for four different instructional practices: modeling scientific explanation, making the rationale of scientific explanation explicit, defining scientific explanation, and connecting scientific explanation to everyday explanation. Our results suggest that when teachers introduce scientific explanation, they vary in the practices they engage in as well as the quality of their use of these practices. We also found that teachers' use of instructional practices can influence student learning of scientific explanation and that the effect of these instructional practices depends on the context in terms of what other instructional practices the teacher uses. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 45: 53–78, 2008     

Developing instruments concerning scientific epistemic beliefs and goal orientations in learning science: a validation study

ABSTRACT

The purpose of this study was to develop and validate two survey instruments to evaluate high school students' scientific epistemic beliefs and goal orientations in learning science. The initial relationships between the sampled students' scientific epistemic beliefs and goal orientations in learning science were also investigated. A final valid sample of 600 volunteer Taiwanese high school students participated in this survey by responding to the Scientific Epistemic Beliefs Instrument (SEBI) and the Goal Orientations in Learning Science Instrument (GOLSI). Through both exploratory and confirmatory factor analyses, the SEBI and GOLSI were proven to be valid and reliable for assessing the participants' scientific epistemic beliefs and goal orientations in learning science. The path analysis results indicated that, by and large, the students with more sophisticated epistemic beliefs in various dimensions such as Development of Knowledge, Justification for Knowing, and Purpose of Knowing tended to adopt both Mastery-approach and Mastery-avoidance goals. Some interesting results were also found. For example, the students tended to set a learning goal to outperform others or merely demonstrate competence (Performance-approach) if they had more informed epistemic beliefs in the dimensions of Multiplicity of Knowledge, Uncertainty of Knowledge, and Purpose of Knowing.     

The impact of three‐dimensional computational modeling on student understanding of astronomical concepts: a quantitative analysis

The increased availability of computational modeling software has created opportunities for students to engage in scientific inquiry through constructing computer‐based models of scientific phenomena. However, despite the growing trend of integrating technology into science curricula, educators need to understand what aspects of these technologies promote student learning. This study used a multi‐method research approach involving both quantitative (Paper 1) and qualitative data (Paper 2) to examine student conceptual understanding of astronomical phenomena, relative to two different instructional experiences. Specifically, based on students' understandings of both spatial and declarative knowledge, we compared students who had constructed three‐dimensional computational models with students who had experienced traditional lecture‐based instruction. Quantitative analysis of pre‐interview and post‐interview data revealed that construction of three‐dimensional models best facilitated student understandings of spatially related astronomical concepts — whereas traditional instruction techniques best facilitated student understandings of fact‐oriented astronomical knowledge. This paper is the first in a two‐paper set that continues our line of research into whether problem‐based courses such as the Virtual Solar System course can be used as a viable alternative to traditional lecture‐based astronomy courses.     

‘You're Like Yourself': Multimodal Literacies in a Reading Support Class

This article explores the experiences and literacy practices of an adolescent boy enrolled in an academic support class, in which students received an open-ended invitation to respond to S.E. Hinton's novel The Outsiders with the software programme Comic Life. In constructing this ‘telling case', we highlight how traditional print literacies associated with English instruction can construct school as a ‘contradictory symbolic space' for many students, but also how the introduction of the multimodalities can provide opportunities for adolescents to experience in-school literacies as social, performative and creative. We argue for re-envisioning literacy curricula and assessment not only to incorporate multimodalities, but also to provide students with instruction in writing conventions and practice with print in ways that serve larger purposes beyond remediation and test preparation. We posit the possibility for ‘complementary symbolic spaces' that are connected to the landscape of adolescent literacies that students traverse outside school and to students' desires to communicate, create and reach others within a range of discourse communities.     

Toward University Modeling Instruction—Biology: Adapting Curricular Frameworks from Physics to Biology

University Modeling Instruction (UMI) is an approach to curriculum and pedagogy that focuses instruction on engaging students in building, validating, and deploying scientific models. Modeling Instruction has been successfully implemented in both high school and university physics courses. Studies within the physics education research (PER) community have identified UMI''s positive impacts on learning gains, equity, attitudinal shifts, and self-efficacy. While the success of this pedagogical approach has been recognized within the physics community, the use of models and modeling practices is still being developed for biology. Drawing from the existing research on UMI in physics, we describe the theoretical foundations of UMI and how UMI can be adapted to include an emphasis on models and modeling for undergraduate introductory biology courses. In particular, we discuss our ongoing work to develop a framework for the first semester of a two-semester introductory biology course sequence by identifying the essential basic models for an introductory biology course sequence.     

What is this Substance? What Makes it Different? Mapping Progression in Students’ Assumptions about Chemical Identity

Given the diversity of materials in our surroundings, one should expect scientifically literate citizens to have a basic understanding of the core ideas and practices used to analyze chemical substances. In this article, we use the term ‘chemical identity' to encapsulate the assumptions, knowledge, and practices upon which chemical analysis relies. We conceive chemical identity as a core crosscutting disciplinary concept which can bring coherence and relevance to chemistry curricula at all educational levels, primary through tertiary. Although chemical identity is not a concept explicitly addressed by traditional chemistry curricula, its understanding can be expected to evolve as students are asked to recognize different types of substances and explore their properties. The goal of this contribution is to characterize students' assumptions about factors that determine chemical identity and to map how core assumptions change with training in the discipline. Our work is based on the review and critical analysis of existing research findings on students' alternative conceptions in chemistry education, and historical and philosophical analyses of chemistry. From this perspective, our analysis contributes to the growing body of research in the area of learning progressions. In particular, it reveals areas in which our understanding of students' ideas about chemical identity is quite robust, but also highlights the existence of major knowledge gaps that should be filled in to better foster student understanding. We provide suggestions in this area and discuss implications for the teaching of chemistry.     

Scaffolding Students’ Online Critiquing of Expert- and Peer-generated Molecular Models of Chemical Reactions

In this study, we developed online critiquing activities using an open-source computer learning environment. We investigated how well the activities scaffolded students to critique molecular models of chemical reactions made by scientists, peers, and a fictitious peer, and whether the activities enhanced the students' understanding of science models and chemical reactions. The activities were implemented in an eighth-grade class with 28 students in a public junior high school in southern Taiwan. The study employed mixed research methods. Data collected included pre- and post-instructional assessments, post-instructional interviews, and students' electronic written responses and oral discussions during the critiquing activities. The results indicated that these activities guided the students to produce overall quality critiques. Also, the students developed a more sophisticated understanding of chemical reactions and scientific models as a result of the intervention. Design considerations for effective model critiquing activities are discussed based on observational results, including the use of peer-generated artefacts for critiquing to promote motivation and collaboration, coupled with critiques of scientific models to enhance students' epistemological understanding of model purpose and communication.     

Reflections on and implications of the Programme for International Student Assessment 2015 (PISA 2015) performance of students in Taiwan: The role of epistemic beliefs about science in scientific literacy

The 2015 Programme for International Student Assessment (PISA) has drawn a substantial amount of attention from science educators and educational policymakers because it marked the first time that PISA assessed students' ability to evaluate and design scientific inquiry using computer-based simulations. We undertook a secondary analysis of the PISA 2015 Taiwan dataset of 7,973 students from 214 schools to identify critical issues of student learning and potentially reshape our educational system and policies. Thus, this study sought to identify potential latent clusters of students' scientific literacy performance according to a set of focus variables selected from the PISA student questionnaires. In addition, significant determinants of students' scientific literacy and resiliency were analyzed. Cluster analysis results demonstrated the presence of four clusters of high, medium, low, and inferior scientific literacy/epistemology/affective dispositions. Specifically, students in cluster 1 compared with other clusters showed that the higher the scientific literacy scores are, the more positive epistemic beliefs about science, achievement motivation, enjoyment of science, interests in broad science, science self-efficacy, information and communications technology (ICT) interest, ICT autonomy, more learning time, more teacher supports and teacher-directed instructions are. Regression results indicated that the most robust predictor of students' scientific literacy performance is epistemic beliefs about science, followed by learning time, interest in broad science topics, achievement motivation, inquiry-based science teaching and learning practice, and science self-efficacy. Decision tree model results showed that the descending order of the variables in terms of their importance in differentiating students as high- versus low-performing were epistemic beliefs about science, learning time, self-efficacy, interest in broad science, and scientific inquiry, respectively. A similar decision tree model to determine students as resilient versus non-resilient also was found. Various interpretations of these results are discussed, as are their implications for science education research, science teaching, and science education policy.     

Coming to Voice: Preparing Bilingual-Bicultural Teachers for Social Justice

This study examined the development of bicultural voice in Latina/o preservice teachers. Researchers used survey, interview, and observational data to probe students' knowledge, beliefs, and orientations related to teaching culturally and linguistically diverse students. The researchers found that the bilingual cohort courses afforded students with opportunities to juxtapose personal narratives with broader social contexts, thereby allowing students to examine and critique the ideology and curricula of schools. The authors assert that cultivating social justice orientations in bilingual-bicultural preservice teachers is crucial to the empowerment of bilingual-bicultural teachers and their students.     

The Nature of Scientific Explanation: Examining the perceptions of the nature,quality, and “goodness” of explanation among college students,science teachers,and scientists

Issues regarding scientific explanation have been of interest to philosophers from Pre-Socratic times. The notion of scientific explanation is of interest not only to philosophers, but also to science educators as is clearly evident in the emphasis given to K-12 students' construction of explanations in current national science education reform efforts. Nonetheless, there is a dearth of research on conceptualizing explanation in science education. Using a philosophically guided framework—the Nature of Scientific Explanation (NOSE) framework—the study aims to elucidate and compare college freshmen science students', secondary science teachers', and practicing scientists' scientific explanations and their views of scientific explanations. In particular, this study aims to: (1) analyze students', teachers', and scientists' scientific explanations; (2) explore the nuances about how freshman students, science teachers, and practicing scientists construct explanations; and (3) elucidate the criteria that participants use in analyzing scientific explanations. In two separate interviews, participants first constructed explanations of everyday scientific phenomena and then provided feedback on the explanations constructed by other participants. Major findings showed that, when analyzed using NOSE framework, participant scientists did significantly “better” than teachers and students. Our analysis revealed that scientists, teachers, and students share a lot of similarities in how they construct their explanations in science. However, they differ in some key dimensions. The present study highlighted the need articulated by many researchers in science education to understand additional aspects specific to scientific explanation. The present findings provide an initial analytical framework for examining students' and science teachers' scientific explanations.     

University physics students' use of models in explanations of phenomena involving interaction between metals and electromagnetic radiation

We examine third year university physics students' use of models when explaining familiar phenomena involving interaction between metals and electromagnetic radiation. A range of scientific models are available to explain these phenomena. However, explanations of these phenomena tend not to be used as exemplars of scientific models within undergraduate physics education. The student sample is drawn from six universities in UK and Sweden. These students have difficulties in providing appropriate explanations for the phenomena. Many students draw upon the Bohr model of isolated atoms when explaining light emission of metals. The students tend not to recognize that atoms in metals interact to give an electronic structure very different from that of the isolated atom. Few students use a single model consistently in their explanations of these related phenomena. Rather, students' use of models is sensitive to the context in which each phenomenon is presented to them.     

Teachers' understanding and the use of the learning cycle

This study examined the relationships that exist between high school science teachers' understanding of the Piagetian developmental model of intelligence, its inherent teaching procedure—the learning cycle—and classroom teaching practices. The teachers observed in this study had expressed dissatisfaction with the teaching methods they used, and, subsequently, attended a National Science Foundation sponsored in-service program designed to examine laboratory-centered science curricula and the educational and scientific theories upon which the curricula were based. The teachers who exhibited a sound understanding of the Piagetian model of intelligence and the learning cycle were more likely to effectively implement learning cycle curricula. They were able to successfully integrate their students' laboratory experiences with class discussions to construct science concepts. The teachers who exhibited misunderstandings of the Piagetian developmental model of intelligence and the learning cycle also engaged their students in laboratory activities, but these activities were weakly related to learning cycles. For example, the data gathered by their students were typically not used in class discussions to construct science concepts. Therefore, these teachers apparently did not discern the necessity of using the data and experiences from laboratory activities as the impetus for science concept attainment. Additional results comparing degrees of understanding, teaching behaviors and questioning strategies are discussed.     

Vexing questions that sustain sensemaking

Current science education reforms highlight the importance of students making sense of scientific ideas. While research has studied how to support sensemaking in classrooms, we still know very little about what drives students to pursue and persist in it on their own. In this article, we use a set of parallel case studies of undergraduate students discussing introductory physics to show how certain student-generated, vexing questions both initiate and sustain students' sensemaking processes. We examine affective and linguistic markers in student discourse in paired-clinical interviews to demonstrate both of these functions of vexing questions and detail their role in the explanations students construct. We conclude by discussing the implications of this analysis both for supporting sensemaking in classrooms and for studying it in research.     

Profiling Changing States of Conceptual Knowledge: With Designs Toward Developing a Universal Knowledge Interface System for the 21st Century

In this article, we present a framework for assessing changes in conceptual knowledge commonly found in scientific domains. In particular, we identify the underlying organizational patterns and contents that make up pictorial, diagrammatic, process, and procedural knowledge. These patterns are called knowledge models. Once we have defined and illustrated these models, we then demonstrate how the knowledge-updating strategies of accretion, fine tuning, and restructuring (Vosniadou & Brewer, 1987) can be rendered measurable. We next demonstrate how knowledge modeling can be used to profile changes in students' conceptual knowledge as they learn about meiosis (Cavallo, 1991). We conclude by discussing how knowledge modeling can be used to provide (a) comparability and common interpretability between studies investigating knowledge acquisition, (b) a framework for teachers to organize and transmit knowledge in their classrooms, (c) a framework for students to construct understanding of scientific phenomena, and (d) a framework for designing systematic hypertext and multimedia environments. We argue that, by using the knowledge models proposed in this article, researchers, teachers, students, and instructional designers can communicate through a universal interface for organizing and updating conceptual knowledge.