Student teachers’ beliefs about the teacher’s role in inclusive education

The main aim of this research is to examine the basic features of student teachers’ professional beliefs about the teacher’s role in relation to teaching mainstream pupils and pupils with developmental disabilities. The starting assumption of this analysis is that teacher professional development is largely dependent upon teachers’ beliefs about various facets of their professional work. These concepts strongly influence the way that teachers teach and the way that they develop as teachers. The participants in the research are 314 student teachers at the Faculty of Teacher Education of the University of Zagreb who are being prepared to teach in lower grades of primary school. The beliefs were explored using a metaphor technique derived from cognitive theory of metaphor. The differences between beliefs about the perceived teacher role in general, and the perceived teacher role in the education of pupils with developmental disabilities were analysed. The results indicate that the dominant belief about the teacher’s role in teaching mainstream pupils is of the teacher as a transmitter of knowledge, while the findings regarding the dominant belief about the teacher’s role in teaching pupils with developmental difficulties appeared to be self-cantered orientation. No differences were found between student teachers at different study levels. The findings are discussed in the light of the curriculum of initial teacher education.     

Empowering learners with personalised learning approaches? Agency,equity and transparency in the context of learning analytics

Abstract

The emergence of personalised data technologies such as learning analytics is framed as a solution to manage the needs of higher education student populations that are growing ever more diverse and larger in size. However, the current approach to learning analytics presents tensions between increasing student agency in making learning-related decisions and ‘datafying’ students in the process of collecting, analysing and interpreting data. This article presents a study that explores staff and student experience of agency, equity and transparency in existing data practices and expectations towards learning analytics in a UK university. The results show a number of intertwined factors that have contributed to the tensions between enhancing a learner’s control of their studies and, at the same time, diminishing their autonomy as an active agent in the process of learning analytics. This article argues that learner empowerment should not be automatically assumed to have taken place as part of the adoption of learning analytics. Instead, the interwoven power relationships in a complex educational system and the interactions between humans and machines need to be taken into consideration when presenting learning analytics as an equitable process to enhance student agency and educational equity.     

Students’ Mental Models of the Internet and Their Didactical Exploitation in Informatics Education

The Internet constitutes a relatively new teaching subject for the Informatics curriculum. Within secondary education, students should develop an understanding of basic Internet concepts as well as Internet skills. For the attainment of these goals it is necessary that they develop adequate mental models of the Internet. That development should be based on the assessment of their initial mental models of the Internet. The purpose of this study was the investigation of the mental models that high school students form of the Internet in the beginning of the Informatics curriculum. The study involved 340 Greek high school students who completed a written questionnaire and a drawing task. The results suggest that students form simplistic, utilitarian rather than structural mental models of the Internet, which would provide them with an adequate explanatory system of what the Internet actually is and the processes underlying its use. The students’ mental models also involve particular misconceptions. The didactical implications of the findings for Informatics education at high school level are considered.     

FísicActiva: applying active learning strategies to a large engineering lecture

This paper presents and analyses the results obtained by applying Active Learning techniques in overcrowded Physics lectures at the University of the Republic, Uruguay. The course referred to is Physics 1, the first Physics course that all students of the Faculty of Engineering take in their first semester for all the Engineering-related careers. Qualitative and quantitative data corresponding to three semesters are shown and discussed, indicating that the students that attended these lectures outperformed the students that followed the course in the traditional way: the pass rates increased, whereas the failure rates decreased. The students highly valued this methodology, in particular, the interactive and relaxed dynamics, highlighting the concern of professors to answer questions by means of new questions so as to promote reasoning. The results obtained point to a work path that deserves to be deepened and extended to other Engineering courses.     

The Draw-a-Scientist Test in an African context: comparing students’ (stereotypical) images of scientists across university faculties

Background: People’s perceptions of scientists have repeatedly been investigated using the Draw-a-Scientist Test (DAST). The test is used to identify people’s (stereotypical) images of scientists, which might affect attitudes towards science and science-related career choices.

Purpose: The current study has two goals. (1) Applying the DAST at a university in South Africa, the study will add to the existing research literature through its Southern African context. (2) The study will also look more closely at the link between (stereotypical) images of scientists and science-related career choices.

Sample: The DAST was applied to first-year students (n = 445) across different faculties at a South African university. If the assumption that young people’s perceptions of scientists influence their career choice is correct, one would expect differences in the drawings made by students who have opted for different fields of study.

Design and methods: The DAST was administered during orientation week of the first-year students in January 2017. Students were provided with a prepared blank sheet of paper and asked to draw a scientist and to fill in further information on the back of the paper. A content analysis applying the DAST checklist was used to analyse the images.

Results: The findings show that South African students use about four stereotypical indicators when drawing a scientist, and social science students drew stereotypical attributes more frequently when compared to students from other faculties. A typical scientist – as depicted in this study – is a man of uncertain age, who wears eyeglasses and a lab coat, and is surrounded by laboratory equipment.

Conclusions: Findings are largely in line with the international research literature. To challenge gender stereotypes, more contact between students and female role models might be essential. If (stereotypical) images really affect science-related career choices deserves further attention in future research studies.     

Exploratory Analysis to Identify Concepts,Skills, Knowledge,and Tools to Educate Business Analytics Practitioners

Recent technological advancements in data storage and processing have changed how companies conduct their business. An increasing number of firms have started putting their efforts in extracting information from their databases to improve profitability and reduce costs using quantitative approaches. Thus, the job market has been experiencing a rapidly growing demand for business analytics (BA) practitioners, and universities across the globe are increasingly responding to this newly emerged field by offering both undergraduate and graduate level degrees as well as certificate programs. Thus, this research aims to provide a framework for academic institutions to develop a state‐of‐the‐art master's in business analytics (MSBA) curriculum by identifying concepts, skills, knowledge, and tools (CSKT) that industry seeks in BA practitioners. Our data‐driven methodology utilizes peer institution analysis, indeed.com web scraping, and focus group analysis with mid‐ and senior‐level analytics leaders from major companies. Our contribution to the literature and recommendations to institutions developing MSBA programs are offered at the end.     

Emotional Behavior Problems,Parent Emotion Socialization,and Gender as Determinants of Teacher–Child Closeness

Research Findings: Drawing from a diverse community sample of 89 children, ages 4–6, their primary caregivers and teachers, this study examined the interplay of child emotional behavior problems, parent emotion socialization practices, and gender in predicting teacher-child closeness. Teachers reported on perceptions of closeness with children. Parents and teachers reported on children’s emotional behavior problems, as indexed by overanxious behavior, overt, and relational aggression. Regression models revealed that higher relational aggression related to closer teacher-child relationships for all children of parents who employed minimization as an emotion socialization practice. Similarly, higher overt aggression related to closer teacher-child relationships for girls who experienced parent minimization. An analogous pattern of results emerged, such that lower parent emotional support buffered girls against the negative effects of higher relational aggression on teacher-child closeness, whereas higher parent emotional support related to lower levels of closeness for these girls. These findings contradict prior research linking supportive emotion socialization practices (e.g., empathy, comforting) to socioemotional competence and unsupportive practices (e.g., minimization, punishment) to poor school adjustment. Practice or Policy: Findings have implications for improving children’s classroom experience by identifying parent emotion socialization and gender as contexts for understanding child emotional behavior problems in relation to teacher-child closeness.