Search

Students' interest is considered an important learning outcome, but it is also a relevant predictor for student learning, and future vocational choices. According to numerous studies, however, students' interest in STEM fields usually declines during the course of secondary education. From the perspective of science education, it is therefore necessary to foster or at least maintain students' interest. Despite the variety of approaches that have already been examined in order to promote student interest, the problem of low-interested students remains. Prior findings indicate that specific person characteristics and the students' perception of the situation seem to be moderate the effectiveness of many approaches. The current intensive repeated measure intervention study addresses the investigation of a possible interest trigger (formative assessment) and also the process that influences the perception of this trigger. Based on a sample of 9th-grade chemistry students (N = 200), three different interventions of formative assessment were implemented in regular classrooms. Students' situational interest was assessed repeatedly in short time intervals. Based on multilevel analyses, not all interventions were perceived as equally interesting by the students. While students' individual interest influences the perception of all interventions positively, the impact of gender, chemistry grade, and enjoyment varies across the interventions.

Reading comprehension is an essential skill for learning in general and in science classes. Problems with reading comprehension might hinder students' participation in learning science. Text in science includes specific language features that distinguishes it from narrative text, so should reading instruction be part of teaching science? The direct and inferential mediation (DIME) model of reading comprehension subsumes factors that influence reading comprehension. It was tested separately regarding narrative text as well as expository text in English; however, both have not been tested by directly comparing them to each other. In this study, we investigated to what degree general reading comprehension of narrative text is directly comparable to topic-specific reading comprehension of science text. Hence, first the applicability of the DIME model of reading comprehension in another language (i.e. German) was tested. Second, a general reading comprehension model was directly compared to a topic-specific model for reading comprehension of science text. Participants across the two studies were 704 German Grade 8 students who completed measures of comprehension and the DIME predictor variables. Results of two path analyses indicate the general applicability of the model for another language and additionally for both genres. However, some differences are highlighted that may be of importance in future science-specific studies as well as for teaching science.

Conceptual knowledge is a crucial tool for students to understand scientific phenomena. Knowledge about the structure and function of mental concepts potentially helps science educators to foster the acquisition of this tool. Specifically, the coherence of students' mental concepts is an intensely discussed issue within the related conceptual change discourse. While former discussions focused on the question of whether these conceptions are coherent or not, recent approaches describe them as dynamic systems behaving more or less coherently in different situations. In this contribution, we captured this dynamic behavior of individual concepts by means of network analysis. Transcribed video data of 16 pairs of students working on four subsequent experiments on energy were transformed into weighted networks, which in turn were characterized by standardized coherence parameters. These coherence parameters and more basic network parameters were correlated with students' pre-post scores of a multiple-choice test on the energy concept. We found that the coherence parameter is significantly related to the students' test scores. Even more intense relations are indicated if networks are calculated solely based on conceptual key terms. Implications as well as methodological constraints of this approach are discussed.

Research in Organic Chemistry education has revealed students' challenges in mechanistic reasoning. When solving mechanistic tasks, students tend to focus on explicit surface features, apply fragmented conceptual knowledge, rely on rote-memorization and, hence, often struggle to build well-grounded causal explanations. When taking a resource perspective as a lens, students' difficulties may arise from either an unproductive or a missing activation of cognitive resources. Instructors' explanations and their guidance in teaching situations could serve as a lynchpin to activate these resources. Compared to students' challenges in building mechanistic explanations in Organic Chemistry, little is known about instructors' explanations when solving mechanistic tasks and how they shape their targeted explanations for students in terms of the construction and embedding of cause-effect rationales. This qualitative study aims to contribute to the growing research on mechanistic reasoning by exploring instructors' explanatory approaches. Therefore, we made use of the framing construct, intended to trigger certain frames with explicit instruction. Ten Organic Chemistry instructors (university professors and lecturers) were asked to solve case comparison tasks while being prompted in two scenarios: an expert frame and a teaching frame. Our analysis shows that there is a shift from instructors' mechanistic explanations in the expert frame towards more elaborated explanations in the teaching frame. In the teaching frame, contrary to what might be expected, complete cause-effect relationships were not always established and instructors differed in how they shaped their explanations. Additional explanatory elements were identified in both frames and their shift in use is discussed. Comparing approaches between frames sheds light on how instructors communicate mechanistic explanations and allows us to derive implications for teaching Organic Chemistry.

Research in science education agrees that one of the key challenges of learners in the discipline is certainly connecting domain-specific representations to the underlying concepts. One way of supporting students to make applicable connections is using purposefully designed highlighting techniques in multimedia instructions. In order to examine the influence of different highlighting techniques on learning, 171 chemistry undergraduate students were provided with tutorial videos either with static, dynamic or without highlighting. The results show that students viewing tutorial videos with dynamic highlighting gave more sophisticated answers in direct retention tasks. Furthermore, results indicate that low prior knowledge is compensated by both static and dynamic highlighting techniques. This finding is supported by causal mediation analysis, which indicates that the effect of prior knowledge is moderated by the different highlighting techniques. Besides student learning outcomes, students' evaluation of the different tutorial videos shows significant benefits of the highlighted instructions in terms of perceiving higher comprehensibility. The results support the use of appropriate highlighting techniques in instructional formats to foster a stronger link between conceptual knowledge and representations.

This paper presents the findings of a three-year longitudinal study (Grades 9-11; N = 756 students in German secondary schools; mean starting age = 14.7 years) that explores the development of and the interplay between upper-secondary students' individual interest and conceptual understanding in chemistry. Students' individual interest was assessed in seven dimensions of school science activities (realistic, investigative, artistic, social, conventional, and networking) according to Dierks et al.'s RIASEC+N model. The data was collected annually using paper-and-pencil questionnaires. In order to analyse the longitudinal relation between students' academic interest and conceptual understanding, Eccles et al.'s Expectancy-Value Theoretical Model of Achievement Choices (EEVT) was utilised and seven bivariate cross-lagged models were performed to investigate the assumed reciprocal relations between both constructs. Regarding the developmental progression of individual interest and conceptual knowledge, latent growth curve models indicate a small decrease in all of the seven dimensions of students' interest in school science activities and concomitant a moderate growth of students' conceptual understanding. Moreover, structural equation modelling suggests weak reciprocal relations between students' conceptual understanding and their interest in investigative, social and networking school science activities, respectively. Furthermore, students' interest in enterprising activities predicted their subsequent conceptual understanding. No systematic pattern of cross-lagged effects between the three remaining interest dimensions and conceptual understanding were found. The results indicate that school science activities, which provide the potential for cognitively activating learning opportunities, could enhance the relation between students' interest and conceptual understanding. Implications for teaching practice and further research are discussed.

Science standards of different countries introduced disciplinary core ideas and crosscutting concepts--such as energy--to help students develop a more interconnected science understanding. As previous research has mostly addressed energy learning in specific disciplinary contexts, this study targets students' cross-disciplinary understanding of energy. Since no respective test instrument was available, we present the development and validation of an instrument that can be used to compare students' progressing energy understanding across contexts from biology, chemistry, and physics. In a cross-sectional study, we administered the new instrument to N = 752 students at the end of grades 6, 8, and 10. In addition to a detailed discussion of the instrument's reliability and validity, the study findings compare progressing energy understanding in the three disciplinary contexts. With regard to energy as a crosscutting concept, the results are then used to discuss how students' energy understanding may be connected across disciplinary boundaries.

Chemical representations serve as a communication tool not only in exchanges between scientists but also in chemistry lessons. The goals of the present study were to measure the extent of student teachers' knowledge about chemical representations, focusing on chemical formulae and structures in particular, and to explore which factors related to the education in school and university contribute to inter-individual differences. Using a quantitative cross-sectional design, 322 students from 12 German universities in different stages of their university education were tested with the Chemical Representations Inventory (CRI, Taskin, Bernholt, & Parchmann, 2015). In addition, a short questionnaire was administered containing demographic data and possible factors that could have an effect on students' success in solving the items of the inventory. The data was analyzed by using Rasch modeling. The results show that student teachers' knowledge about chemical representations is quite low, with an average of students' total achievement of 50% in the corresponding inventory on chemical representations. A multivariate linear model revealed that passing exam(s) in organic chemistry at university, the grade of school leaving certificate, gender as well as studying chemistry in upper secondary school on basic and advanced levels are significant predictors of student teachers' knowledge. In total, these predictors are able to explain 30.3% of the variance in the test results. The dominance of school-related variables in the regression analysis indicates that school education seems to be still important after several years of studying and is not equalized by education at university.

Background: Complexity models have provided a suitable framework in various domains to assess students' educational achievement. Complexity is often used as the analytical focus when regarding learning outcomes, i.e. when analyzing written tests or problem-centered interviews. Numerous studies reveal negative correlations between the complexity of a task and the probability of a student solving it. Purpose: Thus far, few detailed investigations explore the importance of complexity in actual classroom lessons. Moreover, the few efforts made so far revealed inconsistencies. Hence, the present study sheds light on the influence the complexity of students' and teachers' class contributions have on students' learning outcomes. Sample: Videos of 10 German 8th grade physics courses covering three consecutive lessons on two topics each (electricity, mechanics) have been analyzed. The sample includes 10 teachers and 290 students. Design and methods: Students' and teachers' verbal contributions were coded manual-based according to the level of complexity. Additionally, pre-post testing of knowledge in electricity and mechanics was applied to assess the students' learning gain. ANOVA analysis was used to characterize the influence of the complexity on the learning gain. Results: Results indicate that the mean level of complexity in classroom contributions explains a large portion of variance in posttest results on class level. Despite this overarching trend, taking classroom activities into account as well reveals even more fine-grained patterns, leading to more specific relations between the complexity in the classroom and students' achievement. Conclusions: In conclusion, we argue for more reflected teaching approaches intended to gradually increase class complexity to foster students' level of competency.

Current reforms in the education policy of various countries are intended to produce a paradigm shift in the educational system towards an outcome orientation. After implementing educational standards as normative objectives, the development of test procedures that adequately reflect these targets and standards is a central problem. This paper constructs the theoretical framework for the assessment of students' content knowledge in chemistry. The resulting scheme and manual were used to develop model-based tasks in various content areas. Students' performances in paper and pencil tests taken in school grades 6 to 12 were analyzed. The quantitative data were used for a reliable classification of the tasks. The results shed light on the development of content knowledge in chemistry as well as on the various systematic factors that influence students' performance. (Contains 6 tables and 2 figures.)