Development,Evaluation and Use of a Student Experience Survey in Undergraduate Science Laboratories: The Advancing Science by Enhancing Learning in the Laboratory Student Laboratory Learning Experience Survey

Student experience surveys have become increasingly popular to probe various aspects of processes and outcomes in higher education, such as measuring student perceptions of the learning environment and identifying aspects that could be improved. This paper reports on a particular survey for evaluating individual experiments that has been developed over some 15 years as part of a large national Australian study pertaining to the area of undergraduate laboratories—Advancing Science by Enhancing Learning in the Laboratory. This paper reports on the development of the survey instrument and the evaluation of the survey using student responses to experiments from different institutions in Australia, New Zealand and the USA. A total of 3153 student responses have been analysed using factor analysis. Three factors, motivation, assessment and resources, have been identified as contributing to improved student attitudes to laboratory activities. A central focus of the survey is to provide feedback to practitioners to iteratively improve experiments. Implications for practitioners and researchers are also discussed.     

Exploring the Popperian Framework in a Pre‐service Teacher Education Program

The study reported in this article is derived from a critical analysis of the work of 28 pre‐service teachers enrolled in the course “Teaching elementary language arts” in a Bachelor of Education concurrent program in a southern State university. The pre‐service teachers were taught how to use an innovative knowledge‐building framework based on the ideas of the philosopher of science, Karl Popper. Two samples of pre‐service teachers’ writing were analyzed to provide evidence of whether they support the occurrence of growth and development of professional knowledge. This study provides some indication of Popper’s framework potential as an effective critical analysis framework for achieving this goal.     

Characteristics of Effective In‐service Programmes and Activities: results of a Dutch survey

The goal of this study is to determine which features effective in‐service activities must have, and to what extent designers of in‐service activities take these features into account. The study is also directed at the relationship between these features of in‐service activities and their implementation and impact characteristics. On the basis of a Delphi‐study, a survey was carried out among teachers, principals, in‐service education and training (INSET) trainers and school counsellors. This article presents the data gathered on programme participants’ and trainers’ opinions and beliefs about effective in‐service and about implementation and impact characteristics. The study also examines the extent of the oft reported critical comments on in‐service activities. In spite of extensive criticism about the value of in‐service education, most participants are positive about the design and execution of the activities. However, INSET has to be closely watched for effectiveness, especially where it concerns applicability and functionality. This is generally judged to be insufficient.     

The Aims of English Teaching: A View from History

Once again, the National Curriculum orders for English are being rewritten. The writers of the new curriculum have looked to the education systems of ‘high-performing jurisdictions’ for inspiration. The result is a curriculum draft that offers a limited view of the subject and one which apparently fails to prioritise the needs of the learner. The model of English developed in the postwar years by those working within the London Association for the Teaching of English (LATE) offers a very different view of the subject. The Aims of English Teaching is an early document articulating LATE’s vision of the subject; this article offers a reading of this document and suggests that there may be much in this history to draw on as teachers are apparently offered more freedom to design their own programmes of study.     

The Emotionality of Whiteness in Physical Education Teacher Education

ABSTRACT

The physical education teacher education (PETE) pipeline makes it clear to historically racially minoritized pre-service teachers the value of White norms and experiences while simultaneously “othering” their cultural knowledge. Using Critical Race Theory, Critical Whiteness Studies, and emotionality as theoretical frameworks, this visual narrative inquiry explored self-identified Black and Latinx pre-service physical education teachers’ (n = 10) stories of a racialized identity within predominantly White PETE programs as well as the emotionality of whiteness for myself as a White researcher and teacher educator. I utilized narrative-based semi-structured and conversational interviews, along with photo-elicitation, as methods of data collection. The results contrast participants’ experiences of normalized racism with my heightened emotions of shock and dismay, shedding light on my own white emotionality toward racism. The critical examination of the emotions of whiteness demonstrated the potential to lead PETE faculty toward deeper reflection as to how whiteness is upheld, but also how they might further work to de-center whiteness within their pedagogies, curricula, and programs.     

Using causal models to bridge the divide between big data and educational theory

An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results produced using these methods often fail to link to theoretical concepts from the learning sciences, making them difficult for educators to trust, interpret and act upon. At the same time, many of our educational theories are difficult to formalise into testable models that link to educational data. New methodologies are required to formalise the bridge between big data and educational theory. This paper demonstrates how causal modelling can help to close this gap. It introduces the apparatus of causal modelling, and shows how it can be applied to well-known problems in LA to yield new insights. We conclude with a consideration of what causal modelling adds to the theory-versus-data debate in education, and extend an invitation to other investigators to join this exciting programme of research.

Practitioner notes

What is already known about this topic

• ‘Correlation does not equal causation’ is a familiar claim in many fields of research but increasingly we see the need for a causal understanding of our educational systems.
• Big data bring many opportunities for analysis in education, but also a risk that results will fail to replicate in new contexts.
• Causal inference is a well-developed approach for extracting causal relationships from data, but is yet to become widely used in the learning sciences.

What this paper adds

• An overview of causal modelling to support educational data scientists interested in adopting this promising approach.
• A demonstration of how constructing causal models forces us to more explicitly specify the claims of educational theories.
• An understanding of how we can link educational datasets to theoretical constructs represented as causal models so formulating empirical tests of the educational theories that they represent.

Implications for practice and/or policy

• Causal models can help us to explicitly specify educational theories in a testable format.
• It is sometimes possible to make causal inferences from educational data if we understand our system well enough to construct a sufficiently explicit theoretical model.
• Learning Analysts should work to specify more causal models and test their predictions, as this would advance our theoretical understanding of many educational systems.

     

Does speed-reading training work,and if so,why? Effects of speed-reading training and metacognitive training on reading speed,comprehension and eye movements

Background

Commercial speed-reading training programs are typically marketed with the promise to dramatically increase reading speed without impairing comprehension. From the perspective of reading psychology, it seems quite unlikely that speed-reading training can indeed have such effects. However, research on the effectiveness of modern speed-reading training programs on reading performance in typical readers is sparse. The present study had two goals. First, we sought to extend prior research on speed-reading by assessing the effects of a speed-reading application on reading performance in a pre-training and post-training design with a control group. Second, we aimed to identify the mechanism underlying speed-reading training programs.

Methods

We assessed reading speed, comprehension and eye movements of 30 German-speaking undergraduates (M_age = 22.77 years, SD_age = 3.41 years) before and after they received a commercial, app-based speed-reading training, a metacognitive training or no training.

Results

Results revealed higher reading speed in the speed-reading condition and metacognitive condition compared with the control condition, although not to the extent claimed in the application. Eye-movement data indicated that the increase in reading speed was due to fewer and shorter fixations in measures reflecting late but not early lexical processing. No differences in comprehension performance were observed between the three conditions.

Conclusions

We discuss our findings in support of the idea that the increase in reading speed was not caused by a change in basic characteristics of participants' reading behaviour, but rather by an increase in their awareness of their own reading process. Further research is needed to investigate whether the observed effects are maintained over time.