1. Introduction
Teacher wellbeing is highlighted as a topic of concern in education. While using digital technologies is highlighted as an important need for teachers, the link between uses of digital technologies and how they might positively support teacher wellbeing has received limited research attention to date. Acknowledging these two important concerns (teacher wellbeing, and using digital technologies to support teaching and learning), it is crucial that we consider how to gather research evidence about uses of digital technologies that might positively support teacher wellbeing. This paper takes a step in that direction in this newly formulated area of research.
This is a conceptual paper, where the study detailed uses an inductive approach to initially develop an outline model and framework of features and factors that can influence teacher wellbeing when teachers use digital technologies. The framework is then developed further to derive a structured data collection instrument.
The paper begins by providing an overview and rationale for undertaking this focus and development, an overview of relevant literature on wellbeing, and how this is related to literature on teacher wellbeing, digital wellbeing, effective uses of digital technologies for teaching and learning, digital literacy, and digital agency. Features and factors that could influence teacher wellbeing when teachers use digital technologies, drawing on findings from the literature review, are identified and formulated as a framework. The efficacy of the proposed framework is assessed, by relating its features to a selected range of existing case studies that report teacher uses of digital technologies in specific but different contexts and situations. The findings of this efficacy review support a proposed data collection instrument that can be used to gather evidence about teacher wellbeing when teachers are using digital technologies.
The idea of digital technologies having a positive influence on teacher wellbeing is often overshadowed in the literature by reports of negative influences. For example, cyberbullying of teachers by students and parents has been reported in the media [
1], as have problems associated with email overload [
2]. At a policy level, it is often the negative influences of increasing uses of digital technologies on children and young people’s wellbeing that have been considered fundamentally. For example, in a briefing paper [
3] for the House of Lords in the United Kingdom (UK), negative effects were highlighted through a stated focus on “issues of: cyberbullying; the use of social media; and screen time” (p. 1).
In a research overview, Mackin [
4], looking at the effects from an adolescent perspective, highlights other potentially negative effects on learning that have been raised in a range of previous studies: mental health problems, ‘shallower engagement with written material’, shortening of attention spans, reducing reliance on memory, and sleep disruption (p. S138-9). Anderson and Rainie [
5] share and categorise other concerns from a range of respondents as “digital deficits; digital addiction; digital distrust/divisiveness; digital duress; and digital dangers” (p. 3). These issues may certainly be identified by teachers, but they might also be fundamentally associated with certain approaches to and management of teaching. Indeed, Harding et al. [
6], from their study of 3215 12-13-year-old students and 1182 teachers, pointed to this, in concluding that teacher wellbeing affected by student wellbeing and distress could “be partially explained by teacher presenteeism and quality of teacher-student relationships” (p. 460). In contrast, the effects of digital technologies on learning can be positive, and according to Mackin [
4], there is as yet insufficient evidence about impacts on mental processes. However, ways that digital technologies are used can affect mental processes; as Howard-Jones [
7] says in his report on the impact of digital technologies on human wellbeing, “it is how specific applications are created and used (by who, when and what for) that determine their impact” (p. 7). Although this report [
7] is not specifically focused on teachers and their practices, the author does recommend that “[m]ore research is needed in a number of areas, to help evaluate the risks and potential benefits for healthy development presented by the new technologies and their applications” (p. 8).
In exploring teacher uses of digital technologies and how teachers’ activities and actions might be leading to teacher wellbeing outcomes, there are a number of salient background concepts and practices to consider. Some background concepts are specifically associated with digital technologies while others are concerned with teacher wellbeing at a wider level. The concept of teacher wellbeing and the importance of teacher wellbeing on a wider level have both been studied in some depth (for example, [
8,
9]). Concerns about appropriate uses of technologies by teachers in their teaching practices have also been studied in some depth, while practices that teachers can usefully adopt and implement have been explored through conceptions of digital literacy. A range of studies have focused on the digital literacy of teachers (for example, [
10,
11]), others on the digital agency of teachers (for example, [
12,
13]), yet others on digital wellbeing that includes teachers (for example, [
14,
15]) and finally others on uses of technologies by teachers to support effective and specific teaching and learning outcomes (for example, [
16,
17]).
However, the concept and ways that outcomes of uses of digital technologies might support teacher wellbeing (or not) have not been studied to the same extent. One article that has explored this concept offers an innovative technology adoption development perspective [
18] and provides a conceptual framework in order to study teacher wellbeing in this context. Looking at evidence of outcomes on teacher wellbeing when digital technologies are used is not the approach taken by these authors, but one study that has focused on evidence of outcomes [
19] explores the effect of home-school communication on teacher wellbeing, as it is recognised that relationships with parents can have both positive and negative effects on teacher wellbeing. The study gathered evidence from 400 parents and 80 teachers in Finland. The authors identified three categories of communication between schools and homes, where effects on teacher wellbeing could arise. The most commonly used was ‘study-related matters’ (
n = 188) that included items such as ‘homework, test dates, evaluation, and absences’. This was followed by ‘behavioral issues’ (
n = 58) that included items such as ‘continuous misbehavior and infrequent misbehavior’, and lastly ‘sensitive issues’ (
n = 51) that included items such as ‘conflicts and health matters’ (p. 5). The study found that, overall, “parents and teachers expressed the need for more balanced and encouraging feedback on pupils. It appears from our results that there is too much emphasis still on a child’s weaknesses” (p. 6). Whilst this study highlights the need to select digital technologies and their uses appropriately and that the management of the communication can be critical, and whilst ways to support more positive relationships that would lead to more positive teacher wellbeing are suggested, the study does not identify any specific outcomes relating to features or factors that have influenced teachers in their reported wellbeing.
Recent events, brought about by the coronavirus (COVID-19) pandemic, where many teachers have been asked to support their pupils and students through online practices, have opened up ideas for uses of digital technologies to many teachers who had not used these previously [
20,
21]. The outcomes of this shift in terms of teacher wellbeing are not yet known in detail, but it is clear that such practices can support teacher wellbeing in terms of general health; online practices can support social distancing [
22]. In contrast to some extent, a recent University College London (UCL) review of research literature [
23] suggested that schools have not been shown in the past to have had major impacts on the spread of viral infections and that schools could for economic and social reasons be opened earlier than had been suggested by others. More recently, researchers (including those at Imperial College London) have questioned findings and recommendations from an alternative scientific perspective [
24], contending whether comparing previous viral epidemics and pandemics offers a reliable perspective about possible impacts of this current pandemic. While our children and youth may be more resistant on the whole to the most severe symptoms arising from infection [
25], our older populations (which include teachers) will certainly be at greater risk. Classrooms are restricted spaces; they are areas where individuals may well have difficulty in maintaining sufficient social distance (particularly where younger children are involved). Additionally, airborne spread may well be supported by airflow patterns that are set up through movements within these spaces. To address this dilemma, there are schools that have continued to maintain teaching and learning in difficult circumstances, using digital technology to its best effect—to support communication as well as to support viable teacher and pupil interactions, providing a basis for continued teaching and learning.
Therefore, what evidence do we have that digital technology can support teacher wellbeing, and in what situations is this happening, or not? This paper provides an initial overview and then takes a strategic approach to its exploration. The paper is not intended to provide detailed quantitative insight; it offers a strategic perspective for future action.
4. Discussion
Considering the maximum number of ways that a technology could influence wellbeing of a teacher across all five cases in the previous section, and within each of the five categories identified in
Table 2, this would total: 35 for digital literacy; 20 for digital agency; 40 for digital wellbeing; 45 for activities and outcomes; and 110 for effects on physical, social and psychological wellbeing. The actual number and percentage of positive features that were identified from the analysis of the five cases were: 26 out of 35 (74%) for digital literacy; 14 out of 20 (70%) for digital agency; 39 out of 40 (98%) for digital wellbeing; 34 out of 45 (76%) for activities and outcomes; and 13 out of 110 (12%) for effects on physical, social and psychological wellbeing. Across these five cases, the most influential category identified in supporting positively was digital wellbeing, followed by activities and outcomes, digital literacy and digital agency, with limited influence being shown on physical, social and psychological wellbeing. It should be noted, however, that this outcome could at least in part have arisen from the fact that data gathering from the case studies did not ask specific questions about this latter area or indeed about some of the elements in other categories. If data are to be gathered about the influences as a whole on teacher wellbeing, then clearly a wide range of questions needs to be asked if the potential influences (negative and neutral as well as positive) are to be fully considered.
To view similarities and differences across the identified positive factors in all cases, an overview grid (shown in
Table 7) has been created. The right-hand column totals the number of instances that the factor was identified across the five cases. The factors are ordered from the highest number of instances (5 in total) to the lowest (1 in total). Again, it should be noted that factors other than those identified might have been involved, but when the cases were created, specific questions relating to these other factors were not asked of the teachers.
The factors where influence was not identified (gaining 0 responses across all five cases), and perhaps where more emphasis needs to be placed on subsequent studies in this field were: feeling more able to switch off and relax; reducing long weekday hours; finding more time to be with family and friends; reducing weekend working; reducing holiday working; reducing anxiety; reducing depression; reducing workload; offering a better work/life balance; reducing unreasonable manager demands; reducing colleague bullying; offering more opportunity to work independently; reducing discrimination; enabling more physical exercise; and reducing reliance on ways to alleviate stress.
From
Table 7, it can be seen that it was certainly possible to identify factors influencing more positive teacher wellbeing in each case, given the details known within the cases analysed. The original set of factors listed in the left-hand column of
Table 2,
Table 3,
Table 4,
Table 5 and
Table 6 and in the left-hand column of
Table 7 appears to cover related outcomes of teacher wellbeing for each of the range of different digital technologies used. Relevant identification holds for each of the cases, which focus on different schools, different contexts, different digital technologies and different actors involved (pupils, teachers, principals and parents). Certain factors have been identified as those likely to influence a wide range of cases (across all five cases in this paper), while some have not been identified at all. However, given the sources to which these factors were related, this does not mean that any of these are not important or irrelevant. What might be inferred at this stage is that those with higher total ratings are those that might be relevant to many different situations.
Overall, the conceptual framework shown in
Table 1 identifies features and factors of teacher wellbeing that are driven by psychological, social and physical concerns [
27]. In order to retain this range and possible balance for any case situation, the full set of features and factors that are known at any one time should be considered when undertaking research that gathers evidence about effects of digital technologies on teacher wellbeing; furthermore, instruments should allow for negative and neutral influences to be gathered as well as positive influences. When asking teachers about their experiences, these features and factors can certainly be framed or phrased using existing research tools and approaches in ways that enable the identification of negative and neutral influences as well as positive influences. This balance of negative, neutral and positive influences can effectively be gathered and accommodated within adopted data collection and analysis methods, chosen according to study contexts (with an example provided in the next section of this paper). Additionally, it should be noted that background studies contributing to this conceptual framework (particularly [
8,
9]) did identify negative influences as part of their data collection and analysis methods.
5. Conclusions
From the analysis and discussion presented in the previous section, it is vitally important that a full range of features and factors are used when gathering data to explore whether and how digital technologies influence teacher wellbeing (and exactly in what ways and to what extent). Questions to ask teachers, drawn from the conceptual framework and the analysis of its applicability to a range of case scenarios is shown in
Table 8, in the form of a data gathering instrument. Some redundant (repeated) factors have been eliminated from the factors listed, and the list has been reordered to group questions into categories (shown in the lettered headers A-E of
Table 8), aligned with commonly encountered topics associated with data gathering when these are undertaken in case study situations. In this data gathering instrument (
Table 8), each feature is introduced with a general question that relates to the focus of that feature, followed by specific factors that are presented with a range of response options in Likert-style form in order to gather negative, neutral and positive perceptions, and finally, each feature ends with an open-ended question.
It should be noted that the data collection instrument shown in
Table 8 is not a scale measurement tool. The study was not undertaken in a way that would allow the development and assessment of the use of a scale development tool, using a scale development approach. It might also be argued that the questions in
Table 8, identifying factors affecting teacher wellbeing when using digital technologies, can only gather evidence that would be considered to be too ‘subjective’. Indeed, Veerhoven [
49] discusses distinctions between subjective and objective evidence in detail and indicates the importance of considering evidence that can combine both the subjective with the objective where possible. If this data collection instrument is used in a case study scenario, it is argued that it is important that the ‘how’ and ‘why’ questions, which Yin [
50] so rightly emphasised as being critical to understanding any case, are asked additionally. It is through the understanding and detail that arises from answers to these ‘how’ and ‘why’ questions that can lead to examples of ways to support teachers positively.
In summary, digital technologies have more commonly been identified in the past as having negative influence on teachers and their wellbeing. Whilst examples of such negative influence clearly exist, it is also important for us to identify where positive influences on teacher wellbeing may be arising, in order for us to support teachers more effectively in the future—in terms of their needs, in times when demands on their time and on their expertise do not seem to be diminishing. We owe it to the teacher profession to understand much more exactly when, how and why positive teacher wellbeing can be supported through effective uses of digital technologies. Given the current situation from 2020 and ideas of different possible future scenarios of how educational provision may be developed to address contemporary challenges, it is particularly important that this area of research focuses on four different alternatives. These four alternatives should cover contexts where teacher wellbeing arises from uses of digital technologies firstly in a purely face-to-face classroom environment, secondly in a purely online environment, thirdly through a blended model where face-to-face and online happen at different scheduled times, and fourthly through a hybrid model where face-to-face and online are happening concurrently. A deeper understanding of how teacher wellbeing in each context can be supported is likely to match the needs for our future in education.