Effectiveness of Reading-Strategy Interventions in Whole Classrooms: a Meta-Analysis

Research has demonstrated that in controlled experiments in which small groups are being tutored by researchers, reading-strategy instruction is highly effective in fostering reading comprehension (Palincsar & Brown, Cognition and Instruction, 1(2), 117–175, 1984). It is unclear, however, whether reading-strategy interventions are equally effective in whole-classroom situations in which the teacher is the sole instructor for the whole class. This meta-analysis focuses on the effects of reading-strategy interventions in whole-classroom settings. Results of studies on the effectiveness of reading-strategy interventions in whole-classroom settings were summarized (N_studies?=?52, K?=?125) to determine the overall effects on reading comprehension and strategic ability. In addition, moderator effects of intervention, study, and student characteristics were explored. The analysis demonstrated a very small effect on reading comprehension (Cohen’s d?=?.186) for standardized tests and a small effect (Cohen’s d?=?.431) on researcher-developed reading comprehension tests. A medium overall effect was found for strategic ability (Cohen’s d?=?.786). Intervention effects tended to be lower for studies that did not control for the hierarchical structure of the data (i.e. multilevel analyses).For interventions in which “setting reading goals” was part of the reading-strategy package, effects tended to be larger. In addition, effects were larger for interventions in which the trainer was the researcher as opposed to teachers and effect sizes tended to be larger for studies conducted in grades 6–8. Implications of these findings for future research and educational practice are discussed.     

Cross‐national differences in participating in tertiary science,technology, engineering and mathematics education

In many western countries attention is currently being given to the participation of students in tertiary Science, Technology, Engineering and Mathematics (STEM) education. This is a result of internationally competing economic ambitions, coupled with acute shortages on the STEM labour market, a declining interest among students for STEM education and a long‐lasting under‐representation of women. However, despite similarities concerning policy attitudes and identified problems, western countries differ considerably from each other concerning the percentages of students that choose STEM education and the proportion of female students included here. Based on an in‐depth study in Sweden, the UK, the US and the Netherlands, this article investigates the reasons for these cross‐national differences. At the heart of the explanations lie the accessibility of the STEM pipeline, the level of broad‐based interdisciplinary studies as opposed to compartmentalization and early specialization, labour market characteristics, social traditions and government policies.     

A multidimensional approach to examine student interdisciplinary learning in science and engineering in higher education

Preparing science and engineering students to work in interdisciplinary teams necessitates research on teaching and learning of interdisciplinary thinking. A multidimensional approach was taken to examine student interdisciplinary learning in a master course on food quality management. The collected 615 student experiences were analysed for the cognitive, emotional, and social learning dimensions using the learning theory of Illeris. Of these 615 experiences, the analysis showed that students reported 214, 194, and 207 times on, respectively, the emotional, the cognitive, and the social dimension. Per learning dimension, key learning experiences featuring interdisciplinary learning were identified such as ‘frustrations in selecting and matching disciplinary knowledge to complex problems’ (emotional), ‘understanding how to apply theoretical models or concepts to real-world situations’ (cognitive), and ‘socially engaging with peers to recognise similarities in perceptions and experiences’ (social). Furthermore, the results showed that students appreciated the cognitive dimension relatively more than the emotional and social dimensions.     

The content of educational technology curricula: a cross-curricular state of the art

The purpose of this study is to analyze the content features of educational technology curricula for primary education developed by national governments. A qualitative cross-case document analysis of the national educational technology curriculum of Norway, Flanders and England was conducted. The analysis focuses on the underlying visions, specific aims and instruction related aspects that are integrated in the national educational technology curricula of the three cases under investigation. The results indicate that specific aims mainly focus on the critical use of educational technology; safe and responsible use of educational technology; information retrieval, processing and production; communication by use of educational technology; and use of educational technology for subject learning. It is possible that a discrepancy exists between the concepts of digital literacy and the specific aims that are addressed in educational technology curricula. Moreover, the rationales that underlie educational technology curricula represent a catalytic and social point of view rather than an economic one. The implications of our findings for curriculum developers and researchers are discussed.     

Promoting science and technology in primary education: a review of integrated curricula

Integrated curricula seem promising for the increase of attention on science and technology in primary education. A clear picture of the advantages and disadvantages of integration efforts could help curriculum innovation. This review has focused on integrated curricula in primary education from 1994 to 2011. The integrated curricula were categorised according to a taxonomy of integration types synthesised from the literature. The characteristics that we deemed important were related to learning outcomes and success/fail factors. A focus group was formed to facilitate the process of analysis and to test tentative conclusions. We concluded that the levels in our taxonomy were linked to (a) student knowledge and skills, the enthusiasm generated among students and teachers, and the teacher commitment that was generated; and (b) the teacher commitment needed, the duration of the innovation effort, the volume and comprehensiveness of required teacher professional development, the necessary teacher support and the effort needed to overcome tensions with standard curricula. Almost all projects were effective in increasing the time spent on science at school. Our model resolves Czerniac’s definition problem of integrating curricula in a productive manner, and it forms a practical basis for decision-making by making clear what is needed and what output can be expected when plans are being formulated to implement integrated education.     

Developing Successful Readers: Building Early Comprehension Skills through Television Viewing and Listening

Developing the ability to read is a complex process involving a variety of skills, including both basic language skills and language comprehension skills. Although a balanced reading program would include the development of basic language and comprehension skills, comprehension has often been overlooked in early reading instruction. In this article, we examine recent research findings on how comprehension skills develop in young children and discuss the implications of those findings for comprehension assessment and interventions.     

Quality of teaching in four European countries: a review of the literature and application of an assessment instrument

Background From 2002 onwards, initiatives and first steps for the project International Comparative Analysis of Learning and Teaching (ICALT) have been taken by the inspectorates of education in England, Flanders (Belgium), Lower Saxony (Germany) and The Netherlands. The inspectorates of education in these European countries reviewed the results of research on the basic characteristics of good and effective teaching and selected standards and indicators for an observation instrument that could be used to evaluate the quality of teaching. The inspectorates from these countries jointly developed an instrument to observe and analyse the quality of learning and teaching in primary schools.

Purpose The observation instrument was piloted for reliability and inter-rater reliability, and for validity, in the four countries.

Sample Mathematics lessons in England, Flanders (Belgium), Lower Saxony (Germany) and The Netherlands were observed in 854 classrooms, with children who were about 9 years old when they started the school year.

Design and methods Inspectors in the four countries were trained in the proper use of the observation instrument, and used the instrument during their own inspections or evaluations.

Results This study shows that the quality of teaching in the four countries can be compared in a reliable and valid way as regards five aspects: ‘efficient classroom management’, ‘safe and stimulating learning climate’, ‘clear instruction’, ‘adaptation of teaching’ and ‘teaching–learning strategies’.

Conclusions It is found that only a few percentage points of difference between teachers are due to differences existing in the four countries. Furthermore, it may be concluded that the five aspects of quality of teaching are positively and significantly correlated with pupil involvement, attitude, behaviour and attainment.     

Effective School Improvement in Mathematics

This article addresses the evaluation of the Mathematics Improvement Programme. The results show that the programme improved the learning results of pupils in grade 3 with half a standard deviation and reduced the percentage of struggling pupils to less than 1%. Fifteen percent of the variance in pupil results is to be explained at the school level. About a quarter of this 15% can be explained by differences between the experimental and the comparison group. All of this condition variance is explained by the experimental variables. Five out of 10 implementation features contribute significantly to differences in pupil results.