A Systematic Review on the Use of Emerging Technologies in Teaching English as an Applied Language at the University Level

: At present, emerging technologies, such as machine learning, deep learning, or various forms of artiﬁcial intelligence are penetrating different ﬁelds of education, including foreign language education (FLE). Moreover, the current young generation was born into the technological environment, and they perceive technologies as being an indispensable part of their everyday life. However, they mainly use technologies in their informal learning, but there is not much research into emerging technologies in FLE, namely in teaching and learning English as an applied language. Therefore, the purpose of this systematic review is to identify, bring together, compare and analyze all of the technologies that are currently efﬁciently employed in foreign language teaching and learning, and based on the ﬁndings of the detected experimental studies, we provide speciﬁc pedagogical implications on how to use these technologies in the acquisition of English as an applied language at the university level. The methodology followed the PRISMA guidelines for systematic reviews and meta-analyses. The results of the detected experimental studies revealed that there was a serious lack of the latest technologies, such as chatbots or virtual reality (VR) devices, that are being empirically employed in a foreign language (FL) education. Moreover, mobile apps are merely focused on the development of FL vocabulary. The ﬁndings also indicate that although the FL teachers might theoretically know about these latest technological devices, such as neural machine translation, they do not know how to practically implement them in their teaching process. Therefore, this research suggests that teachers must be trained and pedagogically guided on how to purposefully implement them in their FL classes to support traditional instruction in order to identify what skills or language structures could be developed through their use. In addition, it is also claimed that more experimental studies are needed to clearly the evidence and its usefulness in teaching a foreign language as an applied language.


Introduction
Today's digital age and its emerging technologies, with the latest achievements of artificial intelligence and big data processing, have unprecedently affected education processes and pedagogy, including the strategies and approaches related to foreign language (FL) teaching and learning [1].Present day graduates belong to Generation Z, who are known for being digitally literate, technologically savvy, and having grown up with digital tools.In addition, they are going to be soon followed by Generation Alpha, whose members are characterized as permanently connected and who are able to make their own decisions based on the use of technologies and also being able to manage their digital identities or visuals [2].Thus, the present day foreign language education usually is, or should be, technology-based since technology has become an integral part of the life of the current generation, and also, today's language learning environment which is no longer solely constricted to the traditional or formal school learning environment [3].
In this respect, foreign language teachers face a serious challenge in integrating different kinds of technologies into their teaching realities as they have to satisfy the learning needs of the two generations.However, in order to keep up with their digitally informed students and engage them in learning a foreign language, they must use recent technologies, such as chatbots or virtual reality.They also have to evaluate which of these technologies could generate some impact in their classes, analyze their potential, and utilize all of the benefits they bring.Moreover, they ought to assess the potential risks these technologies could pose.In addition, the teachers must always consider the added value of the selected tools for the students' learning and their learning outcomes, which is not an easy task as the research into the practical utilizations of digital technologies with clear pedagogical outcomes is, surprisingly, scarce.It must not be forgotten that, as the research in [4] emphasizes, FL teachers should also promote not only the students' knowledge acquisition in various learning contexts, but they should also enhance the skills that appear to be crucial for the 21st century, such as critical thinking, creativity, communication, or collaboration skills.Moreover, to be able to motivate their students to use these technologies in FL learning, they themselves must have a positive attitude to their use in FL classrooms [5][6][7], as well as possess the relevant subject, technological, and pedagogical knowledge [8].
For the aforementioned reasons, the rationale of this study is to provide a clear and systematic analysis of the cutting-edge research into the practical use of modern technologies in FL classes, as it is provided by the empirical research that is currently globally available.Thus, the purpose of this review is to identify, bring together, compare, and analyze all of the technologies that are currently efficiently employed in foreign language teaching and learning, based on the findings of the identified experimental studies.Furthermore, it aims at providing very specific pedagogical implications on using these technologies for the acquisition of English as an applied language at the university level.There have been several systematic reviews [9,10] on a similar topic, but none of them provide the practical implications that could be instantly implemented into FL education, thus, this study attempts to bridge this gap in the current research.
The following research questions have been formulated to obtain the results of this study:

1.
What are the most efficient digital tools that can be used for FL learning and teaching based on the empirical research findings?2.
What are the practical implications that could be yielded from these studies?

Materials and Methods
This review study exploits the PRISMA methodology for systematic reviews and metaanalyses.PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) is employed for systematically and explicitly identifying, selecting, and critically appraising the relevant research on a given topic.For detailed information and specific guidelines, please consult: https://www.bmj.com/content/372/bmj.n160 (accessed on 1 January 2023).As emerging technologies are being perceived as the latest technologies and as the aim was not to provide a historical overview, but to identify the current findings and practical implications, the search was strictly limited to research that has been published in the last five years, i.e., from January 2018 to December 2022.In addition, only the experimental studies dealing exclusively with the use of novel or recent technologies in the teaching of English as an applied language with a special focus on their implementation in English language classrooms were included in this review.Theoretical, descriptive, observational, and non-experimental studies were excluded from the search as the main aim was to look for empirically verified findings that could be transferrable to teaching practices.The search was conducted in two well-established databases, i.e., Scopus and Web of Science, and the titles of the articles, their abstracts, and keywords were focused on as these were sufficient to generate a reliable and adequate core of articles that were to be further analyzed.Only open access articles were included in this review study since the authors of this review did not want to exclude anyone from not having the access to their research.The following inclusion and exclusion criteria were deployed to obtain only the relevant studies that deal exclusively with the given topic.

•
Only experimental studies focusing on the research topic, i.e., the use of novel technologies in the teaching of English as an applied language with a special focus on their implementation in university English language classrooms.

•
Published from January 2018 to December 2022.

•
Scopus and Web of Science databases.

•
Peer-reviewed and only English-written journal articles were included.

•
Search terms were applied in the title, abstract, or keywords of the articles.

•
Experimental studies with specific practical outcomes for EFL.

•
Open access articles.

•
Descriptive studies, theoretical studies, conference proceedings, case studies, observational studies, book chapters, editorials, systematic reviews, and meta-analyses.
The initial search using this search string generated 59 documents from Scopus and 107 studies from Web of Science.After applying all of the inclusion and exclusion criteria and removing the duplicates, 14 studies could be considered to be analyzed.

Results
The aim of this systematic review was to collect information about the impact of the latest technologies on the English language learning process, analyze this information, and provide a summary of the practical implications that could be related to the use of digital technologies and FL learning and teaching with the utilization of technologies.The first search generated 59 (Scopus) and 107 (Web of Science) studies, but after the manual evaluation of them, only thirteen studies were identified as being relevant since they provided clear information on the topic and scope of the study.These thirteen studies, which were conducted in different countries, were detected on the basis of the inclusion and exclusion criteria based above with the verification of whether they provide practical guidance and implications for FL teaching or learning that are statistically sound and are not just an opinion of the participants or the tutors.Therefore, the majority of the survey studies had to be abandoned.The remaining studies all used standardized outcome measures, such as pre-tests and post-tests, which means that the experiment employed experimental and control group settings with clear testing before and after the intervention, thus, making the results statistically significant and replicable.The number of participants ranged from 20 to 483 university students, and the intervention period lasted between one and six months.Although the search span was quite wide, namely those published in the last five years, the vast majority of the latest technologies included only mobile apps used to develop students' vocabulary.In fact, the development of FL vocabulary was also the aim of other technological tools, such as the use of the NAO robot or machine translation.
Five studies conducted in the Czech Republic, Hong Kong, Iran, Korea, Serbia, and Russia investigated the impact of mobile learning applications (apps) on vocabulary acquisition.Different mobile learning apps were chosen as a tool for FL acquisition, but the results of the studies were consistent as certain vocabulary enhancements were found and vocabulary retention was improved, as was confirmed by all of the studies.In addition, the study participants reported an increased motivation to learn, the perception of fun learning, better understanding, and the acceptance of mobile devices as new learning tools.In terms of pedagogical implications, the teachers were advised to implement mobile technologies in the language teaching process in order to help their students to achieve better learning outcomes.However, to achieve them, it is crucial that the learning content is well organized, readable, and easy to be absorbed by the users.
Two more studies focused on the impact of a particular application, namely What-sApp, on language acquisition, and they were conducted in Saudi Arabia and Yemen.Alenezia and Bensalem [11], who compared the impacts of the WhatsApp and Blackboard platforms on language learning, reported that there was no significant difference between the effectiveness of the two platforms.However, an increase in motivation to complete a task when one is using WhatsApp was perceived by the study participants.Similar results were shown in a study conducted by Sabri et al. [12].Therefore, teachers are advised to use WhatsApp as a pedagogical tool and encourage their students to create and join WhatsApp groups in the process of language acquisition.However, these findings presented rather subjective opinions or the feelings of the participants and there is no rigorous data which support these empirical research findings.
Various freely available information and communication technology (ICT) tools, such as the Memrise platform, the Lingualeo website, the British Council website, and Google Forms, were used to investigate their impact on the reading skills of students in Kazakhstan.As a result of the study, the development of reading skills and the improvement of foreign language and culture learning were found.According to Adilbayev et al. [13], various ICT tools should be used to improve the students' reading skills under the guidance of the teacher.This issue, however, still needs further verification, and experimental research must be conducted on the impact of digital technologies on the development of reading competencies.
Another study conducted in South Korea investigated the quality and nature of machine translation applications (MTAs) and their impact on language learning.Google Translator was chosen as the research tool in their study.The findings indicate that machine translation appears to be a practical and useful aid in solving lexical grammatical problems.According to Chon et al. [14], machine translation has great potential to narrow the gap in the writing ability between the proficient and less proficient learners.The participants in the study were able to produce more complex sentences and were aware of the grammatical errors they made when they used MTA.The use of MTA proved to have some limitations as translation errors may have occurred, but they still do not represent a major limitation as the mistakes of the students if they were not using the tool would have been much more serious.Based on these findings, the authors claim that teachers should train their students to notice errors or inappropriate language use in machine-translated texts, which goes without saying, but the authors do not explicate how this ambitious aim should be achieved.
A study conducted in South Korea and Japan [15] compared the intelligibility test results between the artificial intelligence (AI) application and native English speakers in order to highlight the feasibility of AI apps in FL pronunciation practice and promote the intelligibility of Korean-accented English.Google Assistant and Apple Siri were used as research tools.The results revealed that native speakers found Korean-accented English to be more intelligible than AI apps are.Relatively high intelligibility scores were achieved by the native speakers.The native speakers would have fewer problems than the AI apps did when one was recognizing consonant sounds, consonant clusters in initial and medial positions in a word, and vowel length features.As a result, they believe that in the process of English learning, the students should aim to communicate intelligibly with humans with various accents by practicing communication with current available AI apps.In addition, two more research studies [16,17] also explored the possibilities using of AI in language learning.More specifically, Banaeian and Gilanlioglu [16] focused on the use of the NAO robot in developing the student's FL vocabulary.Although there were not any significant differences between the experimental and control groups, both of the groups enhanced their FL vocabulary.Moreover, the students found the use of the NAO robot to be useful for learning new words, which is just a subjective feeling, without there being any experimental verification of it.Dizon [17] investigated the use of the chatbot, Alexa, in the development of listening and speaking skills.The findings of this study revealed that only the speaking skills had been improved.As in other research that has already been mentioned, the students found this new technology to be enjoyable and motivating for studying English.
The study conducted by Ma [18] examined the virtual reality technology in an immersive English teaching college context method based on artificial intelligence and machine learning.The results of the research show the improvement of the students' English quality through immersive context teaching combining constructivism theory and VR technology.The participants of the research reported satisfaction with the VR technology, as well as satisfaction with their own academic performances.It was recommended that one should to implement the context teaching method in the process of language learning as it enables the students to accept and use language in the communicative environment.Therefore, the teaching must be student-centered in order to enable the students to learn independently.
Finally, Abdelrady and Akram [19] conducted a research study to investigate a Class-Point tool to investigate its usefulness for assessing the e-learning satisfaction of EFL students.It was recommended that one should use the ClassPoint tool to enrich the EFL students' learning experiences based on the experiments that were conducted in the study.The results show that the tool enhances the EFL students' learning based on the responses given by the participants.
A summary of the research studies is shown in Table 1.Improvement of motivation to complete the assignments when using WhatsApp.
Not provided.

Banaeian and Gilanlioglu [16] Cyprus
To examine how the NAO robot as a teaching assistant impacts the way university students learn vocabulary and their attitudes towards it.
65 participants.4 sessions during two weeks.Use of the NAO robot.

Pre-test Post-test Questionnaire Interview
There were no significant differences in learning new words between the experimental and control groups.Problems with voice recognition and speech rate, and the students had inadequate listening skills, and there were individual differences.
Students had mixed feelings about the use of the NAO robot, but the positive attitudes prevailed.
The benefits and drawbacks of the NAO robot should be considered before its integration into foreign language vocabulary learning and teaching.
Teachers should be provided with professional training for using the NAO robot effectively with various learners.

Chon et al. [14] South Korea
To explore the quality and the nature of MT and consider its implications for language learning.Teachers should provide strategy-based instruction to train learners to notice the errors or inappropriate use of the language in machine-translated texts.
Learners should be instructed to pay attention to revising their L1 texts.Teachers should be role models for their students when using they are learning applications.New vocabulary can be introduced through the traditional methods of learning and subsequently revised through a mobile application.
Learning content should be well organized, readable, and easy to absorb.When one is using a mobile app, it is recommended at they add new vocabulary regularly, preferably after each face-to-face lesson.
It is important to carry out a formative assessment in order to monitor students' progress.
Teachers should ask for feedback to understand students' perceptions of the use of new technologies.
Students should have the possibility to decide whether they want to use mobile learning or prefer traditional learning through textbooks.
It would be suitable to raise other teachers' awareness of the implementation of mobile technologies.Use of the mobile devices and well-designed vocabulary learning applications have great potential in helping language learners to shortcut the process of learning and learn a considerable amount of essential vocabulary in a short time.
The application should be used in order to complement formal education.This is especially beneficial in teaching foreign language vocabulary, as it receives less attention in the language teaching classrooms, and mobile devices make it possible to extend learning beyond the classroom.

Discussion
The use of emerging technologies for teaching English as an applied language at the university level is becoming increasingly important, and the amount of research into the practical implication is growing, however, it is still very limited, and the growth is not occurring at an adequate pace compared to the development of information and communication technology in other research areas.Basically, the majority of the studies assume that technology enhances the quality of the language learning process [26,27], but in many of them, this statement is not supported sufficiently with statistically reliable data, therefore, more data urgently need to be processed to obtain reliable results that could clearly show the trajectory of the current development and potential near future trends.This systematic review explores the implementation of technology in the process of language learning and assesses the potential of technology for improving language education.This review found that emerging technologies in teaching English, especially vocabulary mobile learning applications, help students to improve their FL vocabulary and even their ability to express themselves more fluently [23].These results are in line with the outcomes of Kohnke et al. [22], who reported that using vocabulary mobile learning applications helped the student's to enhance their vocabulary range.Moreover, the results of the study provided credible evidence of the facilitative effect of the vocabulary mobile learning application on the enhancement of the students' vocabulary retention.The results of the studies conducted by Adilbayeva et al. [13]; Alenezia and Bensalem [11]; Jeong [21]; Kohnke et al. [22]; Poláková and Klímová [23]; Stefanovic and Klochkova [24]; Zakian et al. [25] inform us about the students' positive perception of the new learning tools, their enhanced motivation to learn, and their increased involvement in the learning process, which seems to be the major benefits of all of these modern tools, as they provide the users with the feeling of competency.The students' motivation to learn was also positively influenced by the use of other complementary tools, such as Facebook, WhatsApp, Google Translator, virtual reality, augmented reality, and artificial intelligence [14,[16][17][18][19]27], which sheds a positive light on the future possibilities of these tools, which are related to AI, chatbots, VR, AR, and neural machine translations.Generally, the research shows that motivation is one of the main driving forces of the learning process [28,29], and vice versa, achieving the learning outcomes have a positive impact on the learners' motivation.Therefore, these two variables, i.e., motivation and cognitive gains (linguistic skills), are correlated [23].More specifically, this is illustrated in a study by Poláková and Klímová [23], whose results revealed that their students (71%) felt motivated when they were using the mobile application in the progression of their education.Learning was perceived as being more fun and less stressful (100%), and many students reported that their motivation had increased thanks to there being better learning outcomes.
To sum them up, the research findings indicate that the use of the above-mentioned technologies led to several important achievements, some of which must be further studied in depth to provide more pragmatic outcomes, as follows:

•
Improvement of the student's confidence in English writing [14].

•
Improvement of listening and speaking skills [18].

•
Improvement of the students' understanding of daily conversations [25].
Generally, the findings of the identified research studies, apart from two studies [11,16], showed that technology-supported language learning was effective at a certain level, which was relatively difficult to quantify, but its positive impact is measurable and visible.Therefore, it is recommended that people use these tools in the process of language acquisition at the university level, however, it should be used as a complementary tool and with adequate due diligence, and this research should be improved upon with more research findings that should be coming soon.It goes without saying, as Fanenshtel and Skyba [30] point out, technology itself cannot fully supplement a teacher.A vocabulary mobile app may claim that to know a word, but the learners need to see how a word's context affects its meaning.This fact about technology being a support tool has been confirmed by many other research studies, such as those by Bećirović, Brdarević-Čeljo, and Delić, [3], Klimova and Pikhart [31], Lin et al. [32], and Nagy [33].
Considering the results of the various studies and the learners' comments on the use of new technologies in the language learning process, it can be concluded that new technologies are perceived as being useful complementary tools for language acquisition.This is supported by basically all of the studies that included a satisfaction survey of the participants.It seems that this aspect of the utilization of digital tools is an important motivator for the students, thus, enhancing their subjective positive experience, enabling them to spend more time learning a foreign language or in a foreign language environment that could be used as an unintentional learning environment.However, the findings from the identified studies also indicate that although FL teachers might know about the latest technological devices, such as neural machine translation, they do not know how to implement them in their teaching process.This has been confirmed by Bostancioglu and Handley [34], who report that FL teachers have a good level of knowledge about technology in general, but they do not know how to apply this knowledge in their teaching.
The key benefits implied from the provided studies are that emerging technologies can help learners to improve their FL vocabulary and speaking skills, but the exact data that could be replicable and transferred into a larger context are still missing.In summary, emerging technologies in FL education have the potential to clearly improve the students' motivation to learn, and thus, ideally, help them to achieve better learning outcomes if these tools are used adequately, which is still defined rather vaguely, and there is no clear idea on how to achieve it.
On the contrary, there are some limitations of the detected studies, which include, in particular, that it had a short intervention period, different numbers of subject samples, as well as a low number of the latest technologies, such as chatbots, robots, or machine translation tools which were used to teach English as an applied language.
This systematic review has its limitations as well, one of which is the inclusion of only open access studies, which might have left out some of those on the latest technologies, such as the study on chatbots by Lin and Mubarok [35], but with this limitation in mind, it still provides a clear summary of the core ideas that are related to the analyzed topic.These findings should provide scholars with a foundation that must be extended with the completion of more experimental research that leave out survey studies on user satisfaction.

Conclusions
In conclusion, the research questions in the beginning of this paper were answered.Since the findings showed that there was a lack of the latest technologies, such as chatbots or VR devices, that have been empirically researched in FL education, mobile apps used for the development of FL vocabulary have remained the most efficient devices that have been used for FL teaching and learning.
As far as the practical implications are concerned, the results of this systematic review confirm that emerging technologies could and even should be used as supports in FL education.However, the students should be encouraged to also use these devices outside of their FL classrooms because the students seem to be motivated to learn a foreign language when they are using such devices, and they can achieve better learning results with them, as is supported by the research findings.In addition, the teachers must be trained and pedagogically guided on how to purposefully implement them in their FL classes in order to know what skills or language structures could be developed through their use.As the results confirm, FL vocabulary, for instance, can be developed when one is using mobile apps or neural machine translation.Speaking skills can be enhanced by the use of chatbots or VR devices, and reading comprehension can be enhanced through the use of various websites.Furthermore, the findings of this review study should be of interest to all stakeholders, such as technology developers, policy makers, teachers, as well as the end users who should work on the development, implementation, and use of such tools in FLL in order to make them more effective, reliable, and safe.
Overall, more experimental studies are needed to clearly evidence their usefulness in teaching a foreign language as an applied language, as the current findings that are available are more intuitive, rather than being statistically relevant and generally valid.
to be an aid for lexico-grammatical problem solving.Machine translation narrowed the difference in writing ability between skilled and less skilled learners.Machine translation facilitated the use of lower frequency words.Machine translation produced more complex sentences.Reduction of grammatical errors.Mistranslations may have occurred.

Table 1 .
An overview of the findings from the detected studies.