Profile of South African secondary-school teachers’ teaching quality: evaluation of teaching practices using an observation instrument

The need for quality teaching is reflected in the poor performance of students in international tests. Teachers’ practices and contextual factors could contribute to substandard quality of teaching in South Africa. Several studies indicate that successful learning is largely dependent on the teachers’ practices in class. The focus of the present research was to profile the effective teaching practices of 424 secondary-school teachers in the Gauteng Province, South Africa. Teachers were observed by trained observers using a valid and reliable observation instrument measuring six domains of effective teaching practices. Results showed that teachers find it difficult to differentiate in class and to activate learning. Additionally, teachers with more than 15 years of teaching experience scored lower than teachers with less experience, in all six teaching domains. Presumably, experienced teachers may lack motivation and/or insufficient training in implementing interactive and differentiated teaching methods that are needed for effective teaching practices.     

Characteristics of the research supervision of postgraduate teachers’ action research

Today, many institutions of higher education support students in conducting practice-oriented research. This research refers to a broad array of approaches geared toward practitioners’ practice. The supervision of such research is of crucial importance, but little is known about its nature and characteristics. This study examined what research supervisors and postgraduate, in-service teacher students perceive are key elements of successful action research supervision. Four action research supervisors and eight postgraduate students were interviewed. Data were analysed by using theory and empirical data. Findings reveal 24 key elements of action research supervision, which refer to supervisors’ (1) skills in supporting knowledge development through and about action research and creating a supportive environment for developing knowledge, (2) knowledge and expertise in supervising action research, (3) attitude in the supervision of action research and (4) the motives driving supervisors’ actions in the student-supervisor relationship.     

Erratum: Correction to Description of Analytic Method

Erratum. Child Development 76, 841-855.Online publication date: 14-Jul-2005.     

Impact of Inservice Education in Elementary Science: Participants Revisited a Year Later

Journal of Science Teacher Education -     

What is on our children’s minds? An analysis of children’s writings as reflections of group‐specific socialisation practices

In the present study it has been examined how children’s creative writing tasks may contribute to teachers’ understanding of children’s values. Writings of 300 elementary school children about what they would do if they were the boss of The Netherlands were obtained and seemed to reflect different types of values. Most children were concerned with charity. Also, writings concerned materialist values and socio‐political topics, such as human rights, power and tolerance. Analyses of group‐specific differences showed girls to write more about charity and health when compared to boys. Children from low socio‐economic backgrounds wrote less about environmental issues compared to children from middle and high socio‐economic backgrounds. Children from ethnic minority backgrounds who wrote more about obtaining goods for themselves and less about environmental issues than Dutch‐origin children. In addition, age differences were found in line with an increase in social and moral development. These differences are discussed in light of differential socialisation practices.     

Parents’ perceptions of secondary school students’ motivation and well-being before and during the COVID-19 lockdown: the moderating role of student characteristics

During the COVID-19 lockdown of spring 2020, Dutch children were being homeschooled. We examined how parents’ (n = 470) perceptions of secondary school students’ (M_age = 14.23 years) need satisfaction, academic motivation and well-being differed before the lockdown (assessed retrospectively) and during the lockdown. Furthermore, we examined the differential impact of the lockdown for different groups of children based on parental educational level, academic track, gender and special educational needs (SEN). Results indicated that students’ motivation and well-being as perceived by parents decreased during the lockdown and this could be explained by decreases in need satisfaction. Most student characteristics did not moderate the effects of the lockdown, except for SEN. The lockdown effects were less negative for children with SEN, especially gifted children and children with behavioural disabilities, than for children without SEN. Results are discussed with regard to their practical implications after the lockdown and for future lockdowns.     

From dignity to security protocols: a scientometric analysis of digital ethics

Our lives are increasingly intertwined with the digital realm, and with new technology, new ethical problems emerge. The academic field that addresses these problems—which we tentatively call ‘digital ethics’—can be an important intellectual resource for policy making and regulation. This is why it is important to understand how the new ethical challenges of a digital society are being met by academic research. We have undertaken a scientometric analysis to arrive at a better understanding of the nature, scope and dynamics of the field of digital ethics. Our approach in this paper shows how the field of digital ethics is distributed over various academic disciplines. By first having experts select a collection of keywords central to digital ethics, we have generated a dataset of articles discussing these issues. This approach allows us to generate a scientometric visualisation of the field of digital ethics, without being constrained by any preconceived definitions of academic disciplines. We have first of all found that the number of publications pertaining to digital ethics is exponentially increasing. We furthermore established that whereas one may expect digital ethics to be a species of ethics, we in fact found that the various questions pertaining to digital ethics are predominantly being discussed in computer science, law and biomedical science. It is in these fields, more than in the independent field of ethics, that ethical discourse is being developed around concrete and often technical issues. Moreover, it appears that some important ethical values are very prominent in one field (e.g., autonomy in medical science), while being almost absent in others. We conclude that to get a thorough understanding of, and grip on, all the hard ethical questions of a digital society, ethicists, policy makers and legal scholars will need to familiarize themselves with the concrete and practical work that is being done across a range of different scientific fields to deal with these questions.     

Economic Viewpoints in Educational Effectiveness: Cost-effectiveness Analysis of an Educational Improvement Project

Cost-effectiveness analysis is not only important for decision making in educational policy and practice. Also within educational effectiveness research it is important to establish the costs of educational processes in relationship to their effects. The integrated multilevel educational effectiveness models provide opportunities to conduct more refined cost-effectiveness analyses than were carried out in the past. A cost-effectiveness analysis of an educational improvement project in Indonesia illustrates that combining the knowledge base and methodology of educational effectiveness research and cost-effectiveness analysis provides fruitful possibilities for future theoretical and practical developments in both approaches.     

Signal detection theory as a tool for successful student selection

Prediction accuracy of academic achievement for admission purposes requires adequate sensitivity and specificity of admission tools, yet the available information on the validity and predictive power of admission tools is largely based on studies using correlational and regression statistics. The goal of this study was to explore signal detection theory as a tool to extend the available information; signal detection theory allows for comparisons of selection outcomes on both group and individual levels and the development of tailor-made criteria for specific programmes and admission goals. We investigated who would or would not have been admitted applying specific criteria for each of three common admission tools, how many admitted students would fail and how many applicants who would have been successful would be rejected. Both comparisons at an individual level and the receiver operating characteristic curves at a group level revealed that scores obtained in a programme-specific matching programme and non-cognitive factors appear more valuable than regression statistics suggest when it comes to admitting applicants who will become successful students. Signal detection theory allows not only for admission-goal-specific and programme-specific fine-tuning of the content of admission tools, it also informs about the effects of criteria and thus allows the setting of criteria.