Analysing the integration of engineering in science lessons with the Engineering-Infused Lesson Rubric

ABSTRACT

Science teachers are being called on to incorporate engineering practices into their classrooms. This study explores whether the Engineering-Infused Lesson Rubric, a new rubric designed to target best practices in engineering education, could be used to evaluate the extent to which engineering is infused into online science lessons. Eighty lessons were selected at random from three online repositories, and coded with the rubric. Overall results documented the strengths of existing lessons, as well as many components that teachers might strengthen. In addition, a subset of characteristics was found to distinguish lessons with the highest level of engineering infusion. Findings are discussed in relation to the potential of the rubric to help teachers use research evidence-informed practice generally, and in relation to the new content demands of the U.S. Next Generation Science Standards, in particular.     

Perceived Rates of Return to Higher Education: an international review and comparison

The present paper attempts to assess the link between economic factors and the private demand for higher education through an investigation of the findings of relevant studies. After an examination of the various methodologies adopted by different authors in the estimation of the perceived rate of return to higher education, the main findings of available studies conducted in several countries (UK, the Philippines, Egypt, Hong Kong, and Cyprus) are discussed and compared. The main conclusions drawn from this comparison are the following: First, the perceived rates of return to higher education are, for the most part, very realistic, indicating an accurate perception of the economic benefits of higher education on the part of students. Second, non‐economic factors, such as gender, ability and socio‐economic background, appear to constitute strong influences on the private demand for higher education, which educational policy makers should take into account, along with the economic variables. Finally, it is suggested that the methodology discussed in the present paper can be used in the future to estimate the perceived profitability of higher studies at different institutions and countries offering higher education.     

Engaging with holistic curriculum outcomes: deconstructing ‘working theories’

International debates persist about what constitutes desirable outcomes from early childhood education experiences. The New Zealand early childhood curriculum brings together academic and social-pedagogic outcomes as interdependent holistic constructs named ‘dispositions’ and ‘working theories’. These constructs are complex notions that require interpretation by researchers and teachers in order to be recognised as outcomes by those with a vested interest in children's education: parents and policy-makers. This paper engages with the construct of working theories. It explains its genesis and outlines research activity thus far. The paper draws on findings from a two-year qualitative research project exploring children's interests, inquiries and working theories. The paper analyses two vignettes of working theories into mutually constitutive components of knowledge, skills and strategies, and attitudes and expectations. It argues that deconstructing working theories into elements able to be recognised by those outside early childhood education provides a way to demystify these innovative outcomes. Such scrutiny may assist parents and policy-makers to understand ways that the learning they value is present in the early years. Further, holistic outcomes are responsive to research and scholarship on appropriate pedagogy that encourages children to develop identities as learners, identities critical to living in the twenty-first century.     

Revisiting Cross-document Structure Theory for multi-document discourse parsing

Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the growing amount of information and the emergence of new technologies that deal with many sources of information, more precise and efficient parsing techniques are required. The most relevant theory to multi-document relationship, Cross-document Structure Theory (CST), has been used for parsing purposes before, though the results had not been satisfactory. CST has received many critics because of its subjectivity, which may lead to low annotation agreement and, consequently, to poor parsing performance. In this work, we propose a refinement of the original CST, which consists in (i) formalizing the relationship definitions, (ii) pruning and combining some relations based on their meaning, and (iii) organizing the relations in a hierarchical structure. The hypothesis for this refinement is that it will lead to better agreement in the annotation and consequently to better parsing results. For this aim, it was built an annotated corpus according to this refinement and it was observed an improvement in the annotation agreement. Based on this corpus, a parser was developed using machine learning techniques and hand-crafted rules. Specifically, hierarchical techniques were used to capture the hierarchical organization of the relations according to the proposed refinement of CST. These two approaches were used to identify the relations among texts spans and to generate multi-document annotation structure. Results outperformed other CST parsers, showing the adequacy of the proposed refinement in the theory.     

Isolation and enrichment of low abundant particles with insulator-based dielectrophoresis

Isolation and enrichment of low-abundant particles are essential steps in many bio-analytical and clinical applications. In this work, the capability of an insulator-based dielectrophoresis (iDEP) device for the detection and stable capture of low abundant polystyrene particles and yeast cells was evaluated. Binary and tertiary mixtures of particles and cells were tested, where the low-abundant particles had concentration ratios on the order of 1:10 000 000 compared to the other particles present in the mixture. The results demonstrated successful and stable capture and enrichment of rare particles and cells (trapping efficiencies over 99%), where particles remained trapped in a stable manner for up to 4 min. A device with four reservoirs was employed for the separation and enrichment of rare particles, where the particles of interest were first selectively concentrated and then effectively directed to a side port for future collection and analysis. The present study demonstrates that simple iDEP devices have appropriate screening capacity and can be used for handling samples containing rare particles; achieving both enrichment and isolation of low-abundant particles and cells.     

The Role of Anatomy Computer-Assisted Learning on Spatial Abilities of Medical Students

Currently, medical education context poses different challenges to anatomy, contributing to the introduction of new pedagogical approaches, such as computer-assisted learning (CAL). This approach provides insight into students' learning profiles and skills that enhance anatomy knowledge acquisition. To understand the influence of anatomy CAL on spatial abilities, a study was conducted. A total of 671 medical students attending Musculoskeletal (MA) and Cardiovascular Anatomy (CA) courses, were allocated to one of three groups (MA Group, CA Group, MA + CA Group). Students' pre-training and post-training spatial abilities were assessed through Mental Rotations Test (MRT), with scores ranging between 0-24. After CAL training sessions, students' spatial abilities performance improved (9.72 ± 4.79 vs. 17.05 ± 4.57, P < 0.001). Although male students in both MA Group and CA Group show better baseline spatial abilities, no sex differences were found after CAL training. The improvement in spatial abilities score between sessions (Delta MRT) was correlated with Musculoskeletal Anatomy training sessions in MA Group (r = 0.333, P < 0.001) and MA + CA Group (r = 0.342, P < 0.001), and with Cardiovascular Anatomy training sessions in CA Group (r = 0.461, P = 0.001) and MA + CA Group (r = 0.324, P = 0.001). Multiple linear regression models were used, considering the Delta MRT as dependent variable. An association of Delta MRT to the amount of CAL training and the baseline spatial abilities was observed. The results suggest that CAL training in anatomy has positive dose-dependent effect on spatial abilities.     

Bookselling—book buying: The European perspective of the online market

The book market in European countries is different than the U.S. market for various political, geographical, and cultural reasons. The authors outline these differences and provide background on the move to electronic commerce and future. The article includes many electronic and print sources of and bibliographic tools for locating books in the European market.