How to sustainably increase students’ willingness to protect pollinators

The current loss of biodiversity requires efforts to increase awareness of pollinator conservation. An important tool is education which often uses the honeybee (Apis mellifera) as an exemplary organism to reach this goal. Any successful module needs to focus on reducing the perceived danger associated with fear, in order to support the willingness to protect them. Using a quasi-experimental design, we investigated the effectiveness of two educational approaches: one by authentically encountering living animals at a beehive, the other by using a remote online beehive. We monitored secondary school students’ (N = 354) perception of bees with respect to interest, danger and conservation as well as situational emotions (interest, well-being, boredom) during both interventions. In both cases positive effects on perception levels were observed, even when already a high willingness to protect bees existed. Using living animals in educational settings is crucial, especially when students’ situational emotions need targeting. However, we achieved similar intervention results in perception levels using a remote beehive, which therefore constitutes an excellent alternative to raise awareness of the conservation of bees as pollinators when working with living organisms is not possible.     

The Importance of Language Strategy in Simple Arithmetic

Students who seemingly are about equally adept at two languages differ considerably in their language strategy in mental arithmetic. The present findings suggest that language strategy has an important effect on simple arithmetical performance, affecting the mean reaction time of responses, the frequency of errors, and the experience of difficulty. Bilinguals who retrospectively reported a single language strategy during task performance showed a clear tendency for faster response times, fewer errors, and less perceived difficulty than bilinguals who used their two languages simultaneously or interchangeably. The degree of interference that occurs seems to depend on individual strategies and can be held to a minimum if the domains of use are clearly defined.

     

Socioscientific issues via controversy mapping: bringing actor-network theory into the science classroom with digital technology

ABSTRACT

What are the current challenges and opportunities for bringing actor-network theory (ANT) into issues-based science education? This article discusses experiences gained from introducing an educational version of ANT deploying digital technology into an upper secondary school science class. This teaching innovation, called controversy mapping, has been pioneered in different contexts of higher education before being adapted to school education. Experimenting with controversy mapping in a Swedish science class raised both conceptual and practical issues. These centre on: (1) how ANT-inspired controversy mapping redesigns the citizenship training enacted by institutionalized approaches to issues-based education as socioscientific issues (SSI); (2) how controversy mapping reconfigures the interdisciplinarity of issues-based science education; and (3) how controversy mapping displaces scientific literacy and knowledge of the nature of science as guiding concerns for teaching in favour of new preoccupations with digital literacy and digital tools and methods as contemporary infrastructures of free and open inquiry.     

Sex differences in quantitative and analytical GRE performance: An exploratory study

The exploratory data analysis method of median polishing was used in this study to examine patterns of differences in male and female performance on the Graduate Record Examination quantitative and analytical tests. Consistent with results of previous studies using a younger cohort of students, males were found overall to outperform females on the quantitative measure but not on the analytical measure. However, this pattern was found not to be consistent across all undergraduate majors. Women in the engineering and physical science majors were found to perform higher on both measures than would be expected.     

What do second-order judgments tell us about low-performing students’ metacognitive awareness?

According to the unskilled and unaware effect (Kruger and Dunning 1999), low-performing students tend to overestimate their performance. Differentiating the assessment of metacognitive judgments into performance judgments (PJs) and second-order judgments (SOJs), PJs of low-performing students tend to be inflated, while their SOJs are usually lower than those of high-performing students (Händel and Fritzsche 2016; Miller and Geraci 2011). This suggests some level of awareness. The present study investigated whether low-performers’ lower SOJs actually indicate metacognitive awareness. We studied SOJs after adequate and inadequate PJs, and investigated whether low-performers’ lower SOJs are made by default or whether their lower SOJs differ in a similar magnitude compared to those of high-performers (indicating metacognitive awareness). We address this issue by disentangling student and item effects via generalized linear mixed models. Reanalyzing the data of Händel and Fritzsche (2016) from N?=?116 students, we found that SOJs depended on the students who provided the SOJ and on the items on which the SOJ was made. Overall, SOJs depended on the PJs and on the interaction of performance and PJs, but not on the performance itself. Separate analyses for students of different performance levels revealed that low-performing students showed less awareness, indicated by a non-significant interaction effect of performance and PJs. Thus, it takes mixed models to tell the whole story of low-performing students’ lower SOJs.     

Bias hypotheses under scrutiny: investigating the validity of student assessment of university teaching by means of external observer ratings

To advance the discussion on the validity of student evaluations of university teaching, student ratings of two teaching dimensions – student involvement and rapport – were compared with corresponding observer ratings. Seven potential bias variables were tested with regard to their impact on the students’ teaching assessment: three teacher characteristics (first impression, enthusiasm, humour) and four student characteristics (prior interest, expected grades, study experience, class attendance). Bias was defined as an impediment of the students’ assessment of teaching on course level. By means of bivariate correlations with course averages and two-level latent moderated structural equations, data of 1,716 students in 80 courses were analysed. Results showed that all three teacher characteristics were genuinely connected to rapport, and even explained variance of the student-rated variable when controlling for observer-rated rapport. The assessment of student involvement was not modified by the teacher characteristics except for teacher enthusiasm, which affected the student evaluation when controlling for observed involvement and, moreover, moderated the relation between the observed and the student-rated variable. For the examined student characteristics, no biasing effects were found – neither on rapport nor on student involvement.     

Exploring temporal sequences of regulatory phases and associated interactions in low- and high-challenge collaborative learning sessions

Investigating the temporal order of regulatory processes can explain in more detail the mechanisms behind success or lack of success during collaborative learning. The aim of this study is to explore the differences between high- and low-challenge collaborative learning sessions. This is achieved through examining how the three phases of self-regulated learning occur in a collaborative setting and the types of interaction associated with these phases. The participants were teacher training students (N?=?44), who worked in groups on a complex task related to didactics of mathematics during 6 weeks. The participants were instructed to use an application that was designed to increase awareness of the cognitive, motivational and emotional challenges the group might face. Based on the application’s log files, the sessions were categorized into low- and high-challenge sessions. The video data from each session were coded based on the self-regulation phases and the types of interaction. The frequencies of the phases and the types of interaction were calculated for each session, and process discovery methods were applied using the heuristic miner algorithm. The results show no significant differences between the sessions in the frequency of phases. However, the process models of the two sessions were different: in the high-challenge sessions, the groups switched between the forethought and performance phases more. In conclusion, the regulation phases and types of interaction that contribute to successful collaboration differ in high- and low challenge sessions and support for regulated learning is needed especially at the middle of the learning process.