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This study aims to investigate the integration of heritage language and culture in technology-enhanced bilingual education and examine the dominance of the English language and culture in computer-assisted language learning settings.

This research used a narrative inquiry methodology. The data came from semi-structured interviews with 25 bilingual teachers in the Kurdistan region of Iraq and Texas.

The study found a significant bias in the use of technology toward the target language, often at the expense of heritage language and culture. The curricula analyzed were predominantly focused on superficial cultural elements of the target language, leading to a neglect of deeper cultural engagement.

This research highlights the phenomenon of cultural cringe within bilingual education and the skewed use of technology toward the target language.

The following chapter describes and discusses survey-based findings of students’ perception concerning the acquisition of a third language supported by modern technologies at the university level and provides an overview of research on teaching methodologies. The surveys show that selected reality-based activities not only support students’ language-learning efforts, but also contribute to a more relaxed acquisition of the German language, an important factor of Stephen Krashen’s theory of the lowering of the “Affective Filter,” which stems from 1984. The goal was to find specific technology-enhanced exercises that support the acquisition of the German language, including relatively complex grammatical structures. Although the surveys were conducted among students who took German classes at various levels, the assumption can be made that some aspects of the findings and suggestions are also beneficial for the teaching of other foreign languages.

All humans have an innate ability to learn multiple languages and with ­increasing mobility across linguistic boundaries, people are more than ever embracing multilingualism. This chapter examines international students’ perceptions of their third language (L3) learning experience in their second language (L2) English context. Challenges and strategies of L3 learning are explored as data from a survey and interviews were analyzed. Twenty-eight (n = 28) international students were asked to answer Likert-scale and ­open-­ended questions regarding their L3 learning experience. Select ­participants were also interviewed. The quantitative and qualitative results show that learning an L3 not only offered international students an opportunity to strengthen their understanding of the relationship between language and culture, but also allowed them to position themselves as multilinguals within the globalized world context. Furthermore, the data reveal that technology is an integral part of international students’ L3 learning process, but that additional support is needed. This chapter also discusses ideas including technology-e­nhanced language learning to assist international students in their L3 learning experience in higher education.

This study aims to examine the effectiveness of bilingual learning strategies designed to support Chinese undergraduate business students facing significant learning challenges in an Australian university capstone curriculum delivered at their Chinese university. These challenges include the students’ difficulty understanding discipline-specific English terminology, using this terminology to discuss disciplinary concepts with their instructors and stress caused by an abnormally high study load.

In response to these challenges, the project team implemented a suite of bilingual strategies to reduce cognitive load and enhance learning, which included Chinese-English glossaries to build disciplinary-specific vocabularies; a bilingual teaching assistant to enable students to communicate in their language of choice; the use of WeChat to connect students to staff and to provide translanguaging opportunities; and bilateral managerial and academic support for strengthening the institutional cross-cultural relationship through staff exchange and language learning programs. A series of surveys were administered to measure the impact of these strategies on students’ learning, and WeChat logs were analysed to determine students’ linguistic preferences during discussions with staff and students.

The results of this project show strong support for each bilingual strategy, high academic performance amongst the student cohort, the positive contribution to learning and connection provided by social media technology, students’ language of choice preferences and chosen translanguaging styles and the important role of teaching staff in supporting international students’ intercultural learning and adaptation to a foreign university learning system.

This original evidence-based study helps to address the gap in bilingual education in Australian higher education demonstrating a successful strategy for dealing with language and discipline-specific challenges confronting EAL students.

In a multicultural context like the one that can be found in Dallas (Texas), foreign language teachers must be prepared to deal with an ever-growing group of multicultural, multilingual students. This chapter discusses the work done in a university MA classroom that teaches Spanish-as-a-foreign-language school, high-school, and university instructors how to improve their teaching methods by including real literature examples in their classrooms. As the class included a particularly diverse multicultural group, the authors provide concrete examples on how to approach such a classroom. By outlining the different methodologies used by the main professor and some of the techniques employed by the students themselves, this chapter explores some of the major translanguaging strategies that can be used in a multilingual classroom.

The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research gap by taking an educational perspective to review the existing literature on artificial intelligence chatbots.

This study combines bibliometric analysis and citation network analysis: a bibliometric analysis through visualization of keyword, authors, organizations and countries and a citation network analysis based on literature clustering.

Educational applications of chatbots are still rising in post-COVID-19 learning environments. Popular research issues on this topic include technological advancements, students’ perception of chatbots and effectiveness of chatbots in different educational contexts. Originating from similar technological and theoretical foundations, chatbots are primarily applied to language education, educational services (such as information counseling and automated grading), health-care education and medical training. Diversifying application contexts demonstrate specific purposes for using chatbots in education but are confronted with some common challenges. Multi-faceted factors can influence the effectiveness and acceptance of chatbots in education. This study provides an extended framework to facilitate extending artificial intelligence chatbot applications in education.

The authors have to acknowledge that this study is subjected to some limitations. First, the literature search was based on the core collection on Web of Science, which did not include some existing studies. Second, this bibliometric analysis only included studies published in English. Third, due to the limitation in technological expertise, the authors could not comprehensively interpret the implications of some studies reporting technological advancements. However, this study intended to establish its research significance by summarizing and evaluating the effectiveness of artificial intelligence chatbots from an educational perspective.

This study identifies the publication trends of artificial intelligence chatbots in educational contexts. It bridges the research gap caused by previous neglection of treating educational contexts as an interconnected whole which can demonstrate its characteristics. It identifies the major application contexts of artificial intelligence chatbots in education and encouraged further extending of applications. It also proposes an extended framework to consider that covers three critical components of technological integration in education when future researchers and instructors apply artificial intelligence chatbots to new educational contexts.