3. Results
The activities described by the teachers showed the presence of different types of digital resources, whose frequency also varied (see
Figure 1) (objective 1). The most frequently named resources were audiovisuals and text files, which were used in more than half of the activities, while software programs were only employed in just over 16% of activities. Significant differences were found between the use of audiovisual and text files versus communication platforms, as well as between these and software programs (
p < 0.001).
Therefore, concerning the first objective, we found that the most employed resources were audiovisuals and text files for the presentation of content or the completion of tasks. But for what purpose were these digital resources used, and what learning were they intended to promote? Concerning this second objective, as can be seen in
Table 3, the activities described by the teachers were directed towards reproductive learning (
p < 0.001) and in which verbal outcomes predominated compared to procedural and attitudinal ones (
p < 0.001). These teaching activities primarily required students to acquire or incorporate information without elaborating on it. The least frequent demand was related to organising or analysing this information to extract new knowledge from it.
All differences were significant (p < 0.01), except for the relationship between interpretation and communication, where no differences appeared. Thus, we can say that, in general, the activities required rather superficial information processing from students. Moreover, these results are consistent with what teachers explained that students should do in these tasks. In general, students were expected to access materials provided by teachers (64.3% of the activities) rather than search for information (27.9% of the activities) (p < 0.001). There was also a tendency to propose activities aimed at reproducing information (57.2%) rather than asking students to generate new content (48.3%), but these differences were not significant. Accordingly, more closed than open activities were carried out (p < 0.001) and assessment was more focused on the product than the process (p < 0.001). Finally, the most common activities were individual, followed by the class group, with hardly any presence of student group work, which could encourage interaction or collaboration between students (p < 0.001).
In short, activities were predominantly oriented towards the acquisition of verbal content and promoted reproductive processes. These activities were characterised by being closed and individual, in which the learner focused on accessing the information provided by the teacher and in which the final product was assessed, rather than the process used to achieve that result. They were therefore content-focused activities managed specifically by the teacher. A typical example of this type of activity was reported by a teacher of 6–9-year-old children who asked her students to watch a video story and answer a series of questions (example 21 in
Appendix A Table A4) or that reported by a teacher of 9–12-year-old children who provided her students with notes which they had to study to complete a knowledge acquisition test in a self-correcting format (example 38 in
Appendix A Table A5).
This general portrait is enriched by analysing how each digital resource was specifically used in the classroom. To this end, in keeping with our third objective, we focused on analysing which characteristics of the activity were most frequent depending on the resource used and whether the type of activity changed depending on who managed the resource and how. Therefore, we begin with the most frequently used resources, which, as we have seen, were audiovisual. As can be seen in
Table 4, the chi-square and residual analyses showed that teachers sent their students audiovisual files so that they could access the information contained in them (
p < 0.001, ASR = 3.1). These files were not intended to be used to organise information (
p < 0.05, ASR = −2.1). However, when it was the students who produced such resources, there were more activities aimed precisely at this organisation (
p < 0.05, ASR = 2.4), while those that only accessed them were less frequent (
p < 0.001, ASR = −3.5). An example of this type of activity was the case of a teacher who asked her 12–16-year-old students to create a story from the covers of different books, reorganising the information they provided to create a new story (see example 12 in
Appendix A Table A3). However, when it was the teacher who selected (
p < 0.01, ASR = 3.1) or produced the resource (
p < 0.01, ASR = 2.6), the activities only required access to the information, as can be seen in the following example of a teacher of 9–12-year-old students who provided links to self-created audiovisual montages, which the students had to review and then answer a series of questions on (example 10 in
Appendix A Table A3).
In the case of text files, as anticipated in the method, different types were distinguished according to their communicative function (questionnaire-based, informative, expository, expressive, informative) (see
Figure 2). The most frequently used text files were multiple texts, which were significantly more frequent than expressive or expository texts (
p < 0.05). These resources were used in individual activities (
p < 0.01, ASR = 2.7) (see
Table 5) aimed at verbal learning (
p < 0.01, ASR = 2.9), especially when it came to questionnaire-based communication (
p < 0.05, ASR = 2.3), although this was not the case with literary-expressive texts (
p < 0.05, ASR = −2). As in the case of audiovisuals, students were limited to accessing the information (
p < 0.05, ASR = 2.2), both when teachers selected the texts (
p < 0.001, ASR = 4.4) and when they produced them themselves (
p < 0.01, ASR = 3.1). This result can be seen in the following activity of a teacher of 9–12-year-old children. This teacher gave her students notes with different links for them to access (example 27 in
Appendix A Table A5). Nevertheless, when students selected the texts (
p < 0.001, ASR = −3.5) or wrote them themselves (
p < 0.01, ASR = −2.6), they did not simply access the information. For example, the following teacher of 12–16-year-old students (example 39 in
Appendix A Table A5) stated that she wanted her students to be able to write a piece of text of no more than 100 words in which they recount an encounter with a certain character with appropriateness, coherence, and cohesion […]. In short, this teacher provided her students with an evaluation rubric to help them better control their activity. This way of evaluating is an example of a trend that our data shows. The evaluation is more formative when the texts are created and managed by the students instead of created and managed by the teacher (
p < 0.05, ASR = 2.2).
There were differences in the frequency with which different communication platforms were used (see
Figure 3), with video calls being the most frequent, followed by social media platforms and finally email. All differences were significant (
p < 0.05). These resources (
Table 6) were mainly used for students to search for information (
p < 0.05, ASR = 2.3) which they then had to reproduce (
p < 0.05, ASR = 2.0). It is also interesting that they were not employed in individual activities (
p < 0.001, ASR = −4.4) but when the whole classroom was involved (
p < 0.001, ASR = 6.4). Video calls, in addition to following this same pattern, were characterised by promoting verbal learning (
p < 0.05, ASR = 2.3). In turn, emails were used in activities that promoted active information seeking (
p < 0.001, ASR = 3.9). However, social media platforms were used more frequently for students to access a given information (
p < 0.05, ASR = 2.3), which seems to indicate that the teacher is the one who managed them for sharing resources with their students rather than as a space for more horizontal interaction. The following activity of a secondary teacher is an example of this type of educational practice: “I develop my English classes by sharing my materials on the subject’s blog, where the materials are posted, both written texts and audiovisual material” (example 6 in
Appendix A Table A2).
Finally, educational software programs (16.4% of the activities) were employed, as shown in
Table 7, in closed activities (
p < 0.05, ASR = 2.1), which again required the student to access the information (
p < 0.05, ASR = 2.3) and then reproduce it (
p < 0.05, ASR = 2.3). However, they were frequently also used in formative assessment-oriented activities (
p < 0.05, ASR = 2.1). This seemingly contradictory result may occur because this type of assessment was most frequent when students produced their own software. This software was not used for attitudinal learning (
p < 0.01, ASR = −3), to favour communication (
p < 0.2, ASR = −2.3), or to produce new content (
p < 0.001, ASR = −3.7). Along the same lines, a negative relationship can be observed between the production of materials using software by the teacher and open activities (
p < 0.05, ASR = −2.3) in which the student must produce new content (
p < 0.05, ASR = −2.7) and which are evaluated in a formative way (
p < 0.05, ASR = −2.0). Neither is it used in open-ended activities (
p < 0.01, ASR = −2.7) nor in those that seek to carry out summative assessment (
p < 0.05, ASR = −2.1). Examples of this type of activity managed by the teacher would be the use of Genially by children aged 6–9 years to complete multiplication tables (example 18 in
Appendix A Table A3) and by students aged 12–16 years when entering a website and taking part in a game to learn irregular verbs (example 17 in
Appendix A Table A3).
On the contrary, as we saw before, when the software is produced by the student, the activities are open-ended (
p < 0.001, ASR = 3.9), directed towards the production of information (
p < 0.001, ASR = 4.4), and their evaluation is more formative (
p < 0.001, ASR = 3.5). Therefore, when the student manages the resource, it refers to a completely different style of activity, as we can see in the following example in which a teacher instructs the 12–16-year-old students to program through the platform
https://scratch.mit.edu/ (accessed on 3 January 2023) (or similar) and then create their own video game (example 20 in
Appendix A Table A3).
To sum up, the data show that audiovisuals, text files, software programs, and communication platforms are used in individual activities, primarily aimed at providing students with access to the content delivered and, in many cases, to promote verbal learning. It seems therefore that the resources’ uses are more content-centred than student-centred and not very dialogical.
The opposite relationship is also apparent. On the few occasions when students manage resources, assessment is more formative.
Finally, regarding our fourth objective, we found no relevant effects related to teaching characteristics. The use of these resources was considerably homogeneous in all the conditions analysed, which is highly relevant, given the diversity of the educational spaces analysed, and considering the educational levels studied and subjects included. Nevertheless, we found some obvious data, such as that text files were more widely used with 12–16-year-old students (p < 0.05, ASR = 2.3) than with children between 6 and 9 years of age (p < 0.05, ASR = −3.0), where specifically expository texts were hardly used (ASR = −2.6, p < 0.05). We also found a predominance of expressive text use by females over males (ASR = 3.0, p < 0.01) which might have indicated a certain tendency of females to promote attitudes. However, the latter was not reflected in the data.
4. Discussion
As was proposed in the Introduction, participation in today’s digital society requires the development of a set of competences that would be very difficult to learn without the use of digital technologies in education. We also saw that, to achieve these outcomes, these digital resources must be used in formats that facilitate student-centred teaching, through dialogical situations involving multiple voices, acknowledging a diversity of viewpoints, and using multiple codes and languages [
3,
4,
5]. However, the results we have presented show that teachers’ uses of ICT during classroom lockdown fall far from these requirements. As we have seen, teachers used digital resources predominantly to send information or content to their students, mainly in audiovisual format and via text files. Social media platforms were also used more to transmit information or work instructions in a unidirectional way (generally from the teacher to the students) than to generate spaces for dialogue and interaction. Educational software was hardly used, with these scarce uses mainly focused on repetitive assessments through games such as Kahoot and escape-room. The use of simulations that allow interaction with environments inaccessible from the classroom was practically non-existent [
41].
In short, digital resources were used more to transmit information than to engage students in a dialogue with different information or points of view to construct their own views. As we saw in
Table 3, a sketch of these tools shows that they were particularly used in closed tasks, in which it was sufficient for students to access the information proposed by the teacher with little or no need to analyse it, let alone organise it. Students’ work was oriented towards the reproduction of verbal information and the final product was evaluated more than the process followed to deal with that information. Therefore, our first conclusion is that teaching during the pandemic was fundamentally focused on content. The widespread and necessary use of ICT did not serve to make learning student-centred but was managed by the teacher and primarily aimed at the transmission and evaluation of the content. This pattern is repeated, with some slight variations when we analyse the relationship between the different resources and activities, although these data also show that when activities relinquished control of ICT management to the students to do more than simply return the product to the teachers, teaching was more constructive in its nature. Although less frequent, when such activities occurred, they promoted other ways of learning that were closer to those goals set for ICT integration in the curriculum [
1].
The dialogical possibilities of these tools were not exploited. The data show that the most common activities were individual or whole-group activities. There was hardly any student work in small groups, so collaborative or cooperative tasks among students were rare. Therefore, the second conclusion is that ICT during the pandemic also did not serve to move in the direction of more dialogical teaching.
Regarding the use of different codes and languages, the type of activity analysis we have carried out does not inform whether teaching was directed towards multimodal learning based on multiple representations [
5]. Although within the text files there is a preference for texts that combine different representational formats (multiple texts) and there is often a combination of audiovisual and textual resources, the emphasis on verbal outcomes seems to indicate that these representations were probably not favoured either. In fact, most audiovisual activities managed by the teacher were aimed at providing students with access to different content. In this sense, the low number of activities aimed at working on students’ attitudes is striking, especially when numerous studies [
28,
42,
43] show teachers’ concern for their students’ wellbeing and emotions during the pandemic. Activities that promoted the learning of procedures are more interesting insofar as they helped in some cases to promote more complex and deeper processing, aimed at the analysis or organisation of data, and not, as was mostly the case, at their mere acquisition or communication, where the students’ learning activity once again appeared to refer to the old behaviourist times in which activity was reduced to receiving input and generating an associated output.
Therefore, our results show that the critical incident provoked by the pandemic, which triggered the necessary use of digital technologies to provide continuity in education, led teachers to adapt these resources to more traditional teaching, whose features [
8] are confirmed in this study. Undoubtedly, the need to use ICT as the only teaching medium required a great deal of effort from teachers, which may have contributed to this result. Nevertheless, these conclusions are more in line with the results of international studies, mentioned in the Introduction, on the educational use of ICT. These studies show little transformative power and poor learning outcomes [
17,
18], unlike the experimental works which incorporate more dialogical and student-centred uses and achieve better learning outcomes for students [
11]. For the integration of ICT in the classroom to serve to transform teaching and learning practices, it is first necessary to transform teaching conceptions and practices [
44,
45], which still seem largely anchored in traditional goals and methods, centred on the transmission of essentially verbal content by the teacher in individual learning spaces.
The data from this study also show that these more traditional practices prevail at all educational levels, in all knowledge domains, and among teachers with different levels of professional experience, as there are hardly any differences in the uses of ICT depending on any of these variables. These fairly homogeneous uses do not seem to depend on these variables, but rather form part of a dominant educational culture whose transformation will require intervention at diverse levels, and also a major effort to promote teacher training in new educational uses of ICT.
Given that some studies show a gap between what teachers say about these uses and what they do in their actual classroom practice [
46], it is necessary, on the one hand, for research to differentiate these two components in teaching activity, beliefs, and practices. In this paper, we did not ask teachers about their beliefs but asked them to describe the activities they carried out. We chose this method because asking for a description of activities allowed us at the same time to reach a larger number of teachers than observation would have, and to analyse activities that were closer to those carried out in the classroom. A new system for analysing teaching and learning practices (SATA) was used for this analysis, which we believe is another relevant contribution of this study, as it allows for a more detailed analysis of activities than a closed-ended questionnaire would have provided. However, asking teachers to describe their activities in writing is still a limited methodology for a qualitative analysis of teaching practice. To explore the full spectrum of teachers’ explicit conceptions to their classroom practices, a convergence of different methodologies is needed, from experimental or correlational analyses to descriptive studies or case studies.
In future studies, we would like to probe more deeply into an analysis of cases centred on good practices in the use of ICT, understanding as such those that involve a dialogical, student-centred use which integrates different codes or representational modalities. Although most of the tasks sent to us by teachers responded to the profile we have mentioned, and although we did not find significant differences associated with teachers’ characteristics, some teachers carried out highly suggestive activities in which they presented open tasks that encouraged their students to collaborate with their classmates and required analysing and organising different information to solve problems, make decisions, or reach their own conclusions. In these tasks the teacher acted more as a guide and assessment formed part of the learning and teaching process itself.
In conclusion, we believe that teacher training, both initial and in-service, should be based on analysing these good practices. Rather than resorting, here too, to training based on verbal explanations to teachers about these good practices, teacher training based on reflection on their own practice is required [
27,
47]. If teachers have the embodied experience of participating in teacher education in which digital resources are integrated and oriented towards these new uses, only then will they be able to use them accordingly in their teaching practice. Teachers need to realise not only that good integration of digital resources involves designing tasks in which learners manage these resources, but also that this requires learning new teaching roles and functions. It is not about using ICT to channel the teacher’s voice but about guiding students to learn to open a dialogue with the multiple voices that can be identified in these environments.