OTseeker helps library and allied health professionals to find quality evidence efficiently

Background: Research is essential for evidence‐based practice yet many health professionals do not have enough time to find research. Studies relevant to occupational therapists can be particularly difficult to find. Most search engines are broad and return a large number of irrelevant articles. Occupational Therapy Systematic Evaluation of Evidence (OTseeker) is an occupational therapy database available at http://www.otseeker.com . Developed by Australian occupational therapists, the resource aims to increase access to research and support clinical decision making. This discipline‐specific database contains pre‐appraised information from a variety of sources and decreases the time required to locate best evidence. Objectives: The aims of this paper are to: (i) describe how health librarians can use OTseeker to help allied health students, researchers and practitioners, particularly in occupational therapy, to find quality evidence; (ii) provide a teaching resource for health librarians based around the OTseeker evidence database; and (iii) highlight new features contained on the OTseeker database. Methods: A case study is provided which focuses on searching for evidence on the effectiveness of upper limb rehabilitation after stroke using OTseeker. Conclusion: This paper may increase the knowledge, skills and competencies of health librarians, helping them to access evidence‐based databases, and educate other professionals.     

Chinese students’ perceptions of a collaborative e-learning environment and factors affecting their performance: implementing a Flemish e-learning course in a Chinese educational context

This study was set up in a Chinese university in Beijing by implementing a Flemish e-learning course in a Chinese setting. A main feature of the e-learning environment is the asynchronous ‘task-based’ online group discussion. The purpose of the study is to understand Chinese students’ perceptions of a collaborative e-learning environment and the factors that affect their online performance and academic achievement. The results of the study indicate that the students had less positive perceptions of the e-learning environment as compared to their perceptions of a more conventional environment. However, the students reported to a higher level of preferences of peer learning, critical thinking, and problem-based learning (PBL) after one semester e-learning experience. In addition, we examined variables that might have affected students’ performance in e-learning environments. The results show that students with higher motivational orientations perform better in the online group discussions.     

From Ends to Causes (and Back Again) by Metaphor: The Paradox of Natural Selection

Natural selection is one of the most famous metaphors in the history of science. Charles Darwin used the metaphor and the underlying analogy to frame his ideas about evolution and its main driving mechanism into a full-fledged theory. Because the metaphor turned out to be such a powerful epistemic tool, Darwin naturally assumed that he could also employ it as an educational tool to inform his contemporaries about his findings. Moreover, by using the metaphor Darwin was able to bring his theory in accordance with both the dominant philosophy of science in his time and the respected tradition of natural theology. However, as he introduced his theory of evolution by natural selection in On the origin of species in 1859, the metaphor also turned out to have a serious downside. Because of its intentional overtones, his contemporaries systematically misunderstood his metaphor not as a natural mechanism causing evolution to occur but as an agent who works towards particular ends. The difference in success between natural selection as an epistemic tool and its failure as an educational tool is labelled as a paradox. We explain the paradox from a cognitive perspective and discuss the implications for teaching evolution.     

Introductory Biology Students’ Conceptual Models and Explanations of the Origin of Variation

Mutation is the key molecular mechanism generating phenotypic variation, which is the basis for evolution. In an introductory biology course, we used a model-based pedagogy that enabled students to integrate their understanding of genetics and evolution within multiple case studies. We used student-generated conceptual models to assess understanding of the origin of variation. By midterm, only a small percentage of students articulated complete and accurate representations of the origin of variation in their models. Targeted feedback was offered through activities requiring students to critically evaluate peers’ models. At semester''s end, a substantial proportion of students significantly improved their representation of how variation arises (though one-third still did not include mutation in their models). Students’ written explanations of the origin of variation were mostly consistent with their models, although less effective than models in conveying mechanistic reasoning. This study contributes evidence that articulating the genetic origin of variation is particularly challenging for learners and may require multiple cycles of instruction, assessment, and feedback. To support meaningful learning of the origin of variation, we advocate instruction that explicitly integrates multiple scales of biological organization, assessment that promotes and reveals mechanistic and causal reasoning, and practice with explanatory models with formative feedback.     

The design and implementation of learning paths in a learning management system

Learning paths have the potential to play an important role in the way educators serve their learners. Empirical research about learning paths is scarce, particularly in a secondary education setting. The present quasi-experimental study took place in the context of a biology course involving 360 secondary school students. A 2?×?2 factorial research design was adopted. Learners were engaged in learning activities in a learning path. These learning activities (1) differed in design and (2) were either undertaken individually or collaboratively. Gender was considered as a critical co-variable, given the focus on science learning. All learning paths were developed on the basis of visual representations, but in the experimental design conditions, learners worked with learning paths designed according to Mayer's multimedia guidelines (2003). Multilevel analyses were applied to study the impact on learning outcomes according to the design of learning paths, the individual/collaborative setting, and the co-variable gender. The study provides empirical evidence that both the design and the group setting (collaborative versus individual) have an impact on learning outcomes. Although there was no main effect, several significant interaction effects with gender were found. The results are helpful to direct research about the design and implementation of learning paths in a secondary school setting and underpin the relevance of representation modes in science learning.     

Using a storybook prompt to uncover inservice and preservice teachers’ dispositions toward struggling students

Abstract

The NCATE performance standards include “dispositions,” which validate the importance of teacher beliefs and attitudes. This project was designed to measure preservice and inservice teachers’ beliefs and potential dispositions toward struggling students. The children's story, Next Year I'll be Special, was read to preservice teachers from two teacher education programs (n = 139) and one group of inservice teachers (n = 41). Marilyn, the main character, is struggling in first grade, but she anticipates second grade will be better because she will have a new teacher. Participants were asked to write their prognoses for Marilyn's second‐grade year. Responses were coded into three categories, Overall Impression, Ownership of Academic Challenges, and Ownership of Social Challenges. Respondents (56%) indicated that second grade would be as bad as or worse than first grade for Marilyn. Further, results revealed that experienced teachers were more negative in their predictions than beginning teacher education students. Results were replicated in the second teacher education sample.     

Influence of student learning experience on academic performance: The mediator and moderator effects of self‐regulation and motivation

This study examined the mediator and moderator roles of self‐regulation and motivation constructs in the relationship between learning experience and academic success. Self‐reported measures of learning experience, self‐regulation and motivation were obtained from 384 undergraduate students from a university in Hong Kong. Structural equation modelling indicated that self‐regulation and motivation fully mediated the learning experience—academic performance relation. In addition, hierarchical regression analysis also showed that both self‐regulation and motivation had small moderating effects on the link between learning experience and academic performance. That is, the association between learning experience and cumulative GPA was stronger for students with lower levels of self‐regulation and motivation. The implications of fostering motivation and enhancing university learning experience are discussed.     

Comparing Squared Multiple Correlation Coefficients Using Structural Equation Modeling

In social science research, a common topic in multiple regression analysis is to compare the squared multiple correlation coefficients in different populations. Existing methods based on asymptotic theories (Olkin & Finn, 1995) and bootstrapping (Chan, 2009) are available but these can only handle a 2-group comparison. Another method based on structural equation modeling (SEM) has been proposed recently. However, this method has three disadvantages. First, it requires the user to explicitly specify the sample R² as a function in terms of the basic SEM model parameters, which is sometimes troublesome and error prone. Second, it requires the specification of nonlinear constraints, which is not available in some popular SEM software programs. Third, it is for a 2-group comparison primarily. In this article, a 2-stage SEM method is proposed as an alternative. Unlike all other existing methods, the proposed method is simple to use, and it does not require any specific programming features such as the specification of nonlinear constraints. More important, the method allows a simultaneous comparison of 3 or more groups. A real example is given to illustrate the proposed method using EQS, a popular SEM software program.