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An evidence-based approach to improving instructional practices and student outcomes in data use. It is a systematic process of evaluating and analysing learning problems, collecting and transforming various types of data into instructional decisions, and implementing informed actions to improve instruction and student learning. Since teachers are the main actors in instructional practices, this article reports on a study aimed at predicting the influence of various teachers’ characteristics on the degree of data use practices for instructional purposes.

In this study, we conducted a survey in a developing country to gather primary data. The collected data were analysed using a supervised machine learning approach, focussing on decision tree analysis, to determine the influential factors.

Our investigation identifies pedagogical knowledge, data literacy, content knowledge, knowledge of English for teaching and attitudes towards data as crucial determinants in predicting the intensity of such data use practices. Notably, pedagogical knowledge emerges as the most potent predictor, emphasising its pivotal role in shaping teachers’ frequency of instructional data use practices. Surprisingly, English proficiency does not exhibit a significant influence in this predictive model.

The findings may not be generalisable to a wider context since this study relied on a relatively small teacher self-reported sample collected through surveys, and, as this study used perception data, this may or may not reflect teachers’ actual knowledge and skills.

By spotlighting the nuanced interplay between teacher individual characteristics and the practice of data use for instructional improvement, this research contributes to a nuanced understanding of the factors shaping teachers’ engagement with data. Ultimately, it provides a foundation for targeted interventions and strategies aimed at fostering a culture of evidence-based practices to improve instruction and consequently student learning outcomes within educational settings.

This insight holds significant implications for policymakers, educational practitioners and providers of professional development programmes seeking to facilitate effective data use practices for instructional improvement.

By spotlighting the nuanced interplay between teacher individual characteristics and the practice of data use for instructional purposes, this research contributes to a nuanced understanding of the factors shaping teachers’ engagement with data. This study represents an empirical examination of such factors by employing a quantitative approach: a flexible decision tree analysis. This contributes to a growing body of research on factors related to teacher characteristics and much of the research in the field of data use has been done using a qualitative approach.

Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such interventions on student outcomes.

In this study, the authors employ a systematic literature review and meta-analysis to analyse teacher PDIs for data use.

The results suggest that conceptual, practical and continual goals are identified in data use PDIs. Supported by conceptual, practical or normative tools, facilitators employ a variety of techniques in facilitating teachers’ data use through data teams or professional learning communities. The facilitation techniques include assessing needs, using models or modelling, observing performance, providing feedback, providing built-in time for reflection and brokering. Further, the results highlight the influence of several conditions that contribute to the success of the interventions. Finally, the meta-analysis shows a significant positive effect of the interventions on student outcomes, with an effect size of 0.17.

The authors' proposed framework should be empirically tested and validated through field studies in various contexts. Since the authors focussed on studies reporting data use PDIs for instructional purposes as well as providing the descriptions of the PDIs, the number of included studies was only 27 and represented only four countries. Of the 27, 10 studies were used for the meta-analysis and the results may be subject to publication bias. Seemingly, the result may be related to the authors' inclusion/exclusion criteria that only included peer-reviewed journal articles and excluded non-peer-reviewed studies such as theses or dissertations. This criterion potentially neglected some relevant studies.

Policymakers interested in developing a data use PDI should take into account the various goals of data use PDIs, depending on policymakers' interests. Building teachers’ understanding of data use can be addressed by the practical goals. This can be conducted within a short period of time through training or courses, either in-person or online. This is appropriate for an initiation strategy for data use within schools. However, targeting specific skills and dispositional attributes around data use should adopt practical and continual goals. These types of goals require a PDI with a sustained duration embedded in teachers’ classroom practices; therefore, political and practical support is necessary.

The authors argue that the review findings contribute to knowledge and insights by presenting data use PDIs that support teacher learning, implementation and sustainability of data use practices.

This article provides a proposed framework for studying teacher PDIs for data use and sheds light on several goals, a variety of facilitation strategies and conditions and the effect of the interventions on student outcomes.

The purpose of this paper is to investigate the motivation levels of non-permanent English instructors (lecturers) in a university language centre (LC) and the factors with regard to what elements sustain their motivation to teach English and to remain in the Teaching English as a Foreign Language (TEFL) profession at an Islamic higher education institution.

An exploratory case study with a purposive sampling technique was employed in this study. Ten instructors (seven females and three males) aged between 26 and 40 years old participated (M = 29.6 year olds). The selected participants in the sample were instructors who had taught between three to nine years at the LC (M = 3.9 years), and interviews were the tools used to collect data.

Overall, LC instructors’ motivation is not internalised or less internalised into their self-concept. This can be seen from the results that show, respectively, instructors’ levels of no internalisation (42 per cent), less internalisation (40.5 per cent), more internalisation (11 per cent) and full internalisation (6.5 per cent). In total, 11 factors were identified: the influence of others, financial benefits, professional development opportunities, schedule flexibility, supportive working environment, social status and acceptance, a stepping stone for career advancement, networking, dedication, challenge and teaching as a calling. In general, it has been found that instructors are more externally than internally regulated or motivated.

This study only employed interview to collect data and had only ten respondents.

Data were collected at the LC of an Islamic institution of higher education institution where instructors are non-permanently employed. The LC is a TEFL environment serving about 12,000 students a year. This study, therefore, allows for an understanding of instructors’ motivation in such context.