Springer Science and Business Media LLC

Students are generally known to memorise and regurgitate chemical equations without sufficient understanding of the changes that occur at the particulate level. In addition, they often fail to recognise the significance of the symbols and formulas that are used to represent chemical reactions. This article describes an evaluation of the ability of 65 Grade 9 students (15–16 years old) from a Singapore secondary school to describe and explain seven types of chemical reactions using macroscopic, submicroscopic and symbolic representations. The study was conducted over nine months using a supplementary teaching program with particular emphasis on the use of multiple levels of representation to describe and explain chemical reactions. Students’ proficiency in the use of multiple levels of representation was assessed at the end of the course using a two-tier multiple-choice diagnostic instrument that was previously developed by the authors. In order to evaluate the efficacy of the instructional program, the instrument was also administered to another group of 76 students who were not involved in the supplementary instructional program. The efficacy of the program was evident from the significantly improved scores on the diagnostic instrument of the former group of students. In addition, several student conceptions in the use of multiple levels of representation were identified that could assist teachers in their planning and implementation of classroom instruction.

This study raises a great number of questions, many of which would be valuable for science curricula to reflect upon. Firstly, it would seem that the practising professionals do not believe methodology is easily taught, at least not without a strong factual knowledge base. Secondly, science courses have had little effect on carrer choice, with the possible slight exception of physical scientists working in the public sector. Thirdly, scientists would give strong support to the idea of teaching students to use ‘scientific attitudes’ in their everyday life. And fourthly, the social implications of science are felt to be deserving of close attention in schools-but perhaps not within the science classroom. What clearly remains to be done is the difficult and time-consuming work to follow up these hints. What do the scientists see asthe scientific attitudes? What facts, etc., should form the basis of the science curricula? How should the social implications of science be discussed, and what responses are appropriate to them? To answer these questions will take a national study of great scope and effort, yet it would seem to be an essential part of the process of determinng science education programmes of purpose and value.

There are no panaceas and no shortcuts. Man is an amphibious being who lives simultaneously or successively in several universes: in the world of matter, the world of mind, the world of spirit; in the individual world and in the social world; in the homemade universe of his own artifacts, institutions, and imaginings, and in the given, the God-made universe of nature and grace. In the very nature of things none of the major problems confronting such a being can possibly be a simple problem. Those who seek simple solutions for complex problems may have the best of intentions; but unfortunately there is an original sin of the intellect in our habit of arbitrary oversimplification. Those who act without taking precautions against this vice of their intellectual nature doom themselves and their fellows to perpetual disappointment. (Aldous Huxley, 1953, p. 1.)

This study is part of a larger research that explores the creation of an instrument to capture the social and cultural factors that affect Black students’ persistence in STEM. Most research on self-efficacy in the science education literature were either done at predominantly White institutions, during summer programs for students of color, or on predominantly White populations. This study provides insights into self-efficacy indicators at an institution that was specifically created to consider the social, cultural, and historical implications for educating Blacks in STEM. One hundred sixty-four undergraduate students enrolled in an introductory biology course at an Historically Black College and University completed a questionnaire. The survey addressed the hypothesized factors—expectancy, self-efficacy, familial self-efficacy, cognitive self-efficacy, and commitment. The results highlight the importance of science identity and familial sources of vicarious experiences as important indicators of persistence and performance in STEM. The importance of social and cultural factors for Black students’ persistence in STEM is underscored.

This study evaluates the effectiveness of an intervention of formative assessments with a clicker-based technology on anxiety and academic performance. We use a randomized experiment in physics education in one school in Dutch secondary education. For treated students, the formative assessments are operationalized through quizzing at the end of each physics class, where clickers enable students to respond to questions. Control students do not receive these assessments and do not use clickers, but apart from that, the classes they attend are similar. Findings from multilevel regressions indicate that the formative assessments significantly reduce anxiety in physics and improve academic performance in physics in comparison with traditional teaching. Furthermore, a mediation effect of anxiety in physics on academic performance is observed. In sum, this implies that an easy to implement technique of formative assessments can make students feel more at ease, which contributes to better educational performance.

This study aimed to design a teaching sequence for science education that enabled lower secondary school students to enhance their motivation towards science. Further, it looked to examine the way the designed teaching sequence affected students with different motivational profiles. Industry site visits, with embodied theory-based motivational features were included as part of the designed teaching sequence. The sequence was implemented in Finland and Greece with 54 participants, 27 from each country. Quantitative data was collected using the Evaluation of Science Inquiry Activities Questionnaire, based on the Intrinsic Motivation Inventory but did not map the expected outcomes. Interviews, however, showed that students with different motivational profiles found aspects within the module that met their psychological needs as explained by Self-Determination Theory. The results offer a perspective to adolescents’ psychological needs along with some insights into how students mediate the way they value an activity in the context of science education.

The lack of coherence between early childhood education settings and primary school classrooms provides a challenge to the creation of a seamless educational experience in the period from birth to age eight. This paper examines the nature of technological activities in Kindergartens and New Entrant/Year One classes in New Zealand. It highlights commonalities between the two and discusses the potential for technology education to provide a bridge for children to ease their passage into the formal school setting and to provide a coherent educational experience.

This study explores the role of domain-specific knowledge in students’ modeling practice and how this knowledge interacts with two domain-general modeling strategies: use of evidence and developing a causal mechanism. We analyzed models made by middle school students who had a year of intensive model-based instruction. These models were made to explain a familiar but unstudied biological phenomenon: late onset muscle pain. Students were provided with three pieces of evidence related to this phenomenon and asked to construct a model to account for this evidence. Findings indicate that domain-specific resources play a significant role in the extent to which the models accounted for provided evidence. On the other hand, familiarity with the situation appeared to contribute to the mechanistic character of models. Our results indicate that modeling strategies alone are insufficient for the development of a mechanistic model that accounts for provided evidence and that, while learners can develop a tentative model with a basic familiarity of the situation, scaffolding certain domain-specific knowledge is necessary to assist students with incorporating evidence in modeling tasks.