Intelligent assistants in language learning: an analysis of features and limitations

Learning a second language is a challenging endeavour which requires various degrees of support. The proliferation of smart technologies includes chatbots and conversational agents which have the potential to ‘assist’ language learners (Kukulska-Hulme, 2019). However, whilst a growing number of researchers and developers are working on such intelligent assistants across different disciplines, little is known about their application to language learning. The aim of this project was to review relevant research literature over a ten-year period (2010-2020) in order to uncover the capabilities and limitations of Intelligent Assistants (IAs) in relation to language learning. Results suggest that IAs can assist learners in a variety of ways, including provision for conversation and pronunciation practice. These tools can also fail to comprehend meaning or accented pronunciation. The analysis highlighted gaps in research around skills development, task design, pedagogy, and the use of chatbots in virtual worlds

Designing Embodied Interactive Software Agents for E-Learning: Principles, Components, and Roles

Embodied interactive software agents are complex autonomous, adaptive, and social software systems with a digital embodiment that enables them to act on and react to other entities (users, objects, and other agents) in their environment through bodily actions, which include the use of verbal and non-verbal communicative behaviors in face-to-face interactions with the user. These agents have been developed for various roles in different application domains, in which they perform tasks that have been assigned to them by their developers or delegated to them by their users or by other agents. In computer-assisted learning, embodied interactive pedagogical software agents have the general task to promote human learning by working with students (and other agents) in computer-based learning environments, among them e-learning platforms based on Internet technologies, such as the Virtual Linguistics Campus (www.linguistics-online.com). In these environments, pedagogical agents provide contextualized, qualified, personalized, and timely assistance, cooperation, instruction, motivation, and services for both individual learners and groups of learners. This thesis develops a comprehensive, multidisciplinary, and user-oriented view of the design of embodied interactive pedagogical software agents, which integrates theoretical and practical insights from various academic and other fields. The research intends to contribute to the scientific understanding of issues, methods, theories, and technologies that are involved in the design, implementation, and evaluation of embodied interactive software agents for different roles in e-learning and other areas. For developers, the thesis provides sixteen basic principles (Added Value, Perceptible Qualities, Balanced Design, Coherence, Consistency, Completeness, Comprehensibility, Individuality, Variability, Communicative Ability, Modularity, Teamwork, Participatory Design, Role Awareness, Cultural Awareness, and Relationship Building) plus a large number of specific guidelines for the design of embodied interactive software agents and their components. Furthermore, it offers critical reviews of theories, concepts, approaches, and technologies from different areas and disciplines that are relevant to agent design. Finally, it discusses three pedagogical agent roles (virtual native speaker, coach, and peer) in the scenario of the linguistic fieldwork classes on the Virtual Linguistics Campus and presents detailed considerations for the design of an agent for one of these roles (the virtual native speaker)

Development of English as a Second Language in the Context of Massively Multiplayer Online Role-playing Games

This dissertation examined the affordances of commercially developed massively multiplayer online (role-playing) games (MMOGs) for second language (L2) development. It comprises three self-contained but related studies. The first study, as a scoping review, synthesized 32 empirical papers, which investigated different aspects of L2 development in the context of these games. It sought to find out what aspects of L2 learning have been examined and how, and what the findings suggest regarding L2 learning opportunities and outcomes. This study highlighted that empirical research in this area is mainly qualitative and that L2-related affective factors, vocabulary, and communicative competence have been the most widely investigated topics. It concluded that MMOGs afford socially supportive and emotionally safe environments, which encourage L2 learners to use multiple opportunities for enriching their L2 vocabulary and enhancing their communicative competence in the target language. The second study was an exploratory research. It adopted an interactionist approach to characterize the nature of the negotiations of meaning that occurred in the conversational exchanges between native (NES) and non-native English speakers (NNESs) playing World of Warcraft. The data consisted of 63 hours of audio-recorded, in-game conversations over a 5-month period. The participants consisted of an NES and 6 NNESs who were divided into two groups (low and high intermediate) according to their English language proficiency. This study identified and characterized the most frequently occurred triggers, indicators, responses and reaction to the responses in three types of dyadic conversational exchanges. The third study examined L2 development through ―usage-based‖ theories of language learning. It was a time-series (longitudinal) research that examined the trend of changes in the linguistic complexity of the NNESs‘ spoken discourse during a 5-month period of gameplay. This examination involved repeated (in three equally-distributed time intervals) calculations of fourteen syntactic complexity indices and the indices associated with three components of lexical complexity (diversity, sophistication, and density). Overall, the results turned out to be more promising for the low intermediate than the high intermediate group of the NNESs. More detailed findings are presented and discussed in light of the current literature

Development of English as a Second Language in the Context of Massively Multiplayer Online Role-playing Games

This dissertation examined the affordances of commercially developed massively multiplayer online (role-playing) games (MMOGs) for second language (L2) development. It comprises three self-contained but related studies. The first study, as a scoping review, synthesized 32 empirical papers, which investigated different aspects of L2 development in the context of these games. It sought to find out what aspects of L2 learning have been examined and how, and what the findings suggest regarding L2 learning opportunities and outcomes. This study highlighted that empirical research in this area is mainly qualitative and that L2-related affective factors, vocabulary, and communicative competence have been the most widely investigated topics. It concluded that MMOGs afford socially supportive and emotionally safe environments, which encourage L2 learners to use multiple opportunities for enriching their L2 vocabulary and enhancing their communicative competence in the target language. The second study was an exploratory research. It adopted an interactionist approach to characterize the nature of the negotiations of meaning that occurred in the conversational exchanges between native (NES) and non-native English speakers (NNESs) playing World of Warcraft. The data consisted of 63 hours of audio-recorded, in-game conversations over a 5-month period. The participants consisted of an NES and 6 NNESs who were divided into two groups (low and high intermediate) according to their English language proficiency. This study identified and characterized the most frequently occurred triggers, indicators, responses and reaction to the responses in three types of dyadic conversational exchanges. The third study examined L2 development through ―usage-based‖ theories of language learning. It was a time-series (longitudinal) research that examined the trend of changes in the linguistic complexity of the NNESs‘ spoken discourse during a 5-month period of gameplay. This examination involved repeated (in three equally-distributed time intervals) calculations of fourteen syntactic complexity indices and the indices associated with three components of lexical complexity (diversity, sophistication, and density). Overall, the results turned out to be more promising for the low intermediate than the high intermediate group of the NNESs. More detailed findings are presented and discussed in light of the current literature

Overcoming foreign language anxiety in an emotionally intelligent tutoring system

Learning a foreign language entails cognitive and emotional obstacles. It involves complicated mental processes that affect learning and emotions. Positive emotions such as motivation, encouragement, and satisfaction increase learning achievement, while negative emotions like anxiety, frustration, and confusion may reduce performance. Foreign Language Anxiety (FLA) is a specific type of anxiety accompanying learning a foreign language. It is considered a main impediment that hinders learning, reduces achievements, and diminishes interest in learning. Detecting FLA is the first step toward reducing and eventually overcoming it. Previously, researchers have been detecting FLA using physical measurements and self-reports. Using physical measures is direct and less regulated by the learner, but it is uncomfortable and requires the learner to be in the lab. Employing self-reports is scalable because it is easy to administer in the lab and online. However, it interrupts the learning flow, and people sometimes respond inaccurately. Using sensor-free human behavioral metrics is a scalable and practical measurement because it is feasible online or in class with minimum adjustments. To overcome FLA, researchers have studied the use of robots, games, or intelligent tutoring systems (ITS). Within these technologies, they applied soothing music, difficulty reduction, or storytelling. These methods lessened FLA but had limitations such as distracting the learner, not improving performance, and producing cognitive overload. Using an animated agent that provides motivational supportive feedback could reduce FLA and increase learning. It is necessary to measure FLA effectively with minimal interruption and then successfully reduce it. In the context of an e-learning system, I investigated ways to detect FLA using sensor-free human behavioral metrics. This scalable and practical method allows us to recognize FLA without being obtrusive. To reduce FLA, I studied applying emotionally adaptive feedback that offers motivational supportive feedback by an animated agent

Development of the E-Muhadatsah Kit for Non-Arabic Speakers in Malaysian Institutions of Higher Learning: A Need Analysis

Needs analysis plays an important role in the development of a product to ensure that the product can meet the needs of consumers. The development of the E-Muhadatsah kit or Arabic conversation kit based on an android application is a self-communication platform among non-Arabic speakers in Malaysian Institutions of Higher Learning. This study aims to identify the need for developing the E-Muhadatsah kit among non-Arabic speakers at the tertiary level as well as to identify the level of interest in Arabic speaking, Arabic communication confidence, and students' willingness to communicate in Arabic. The assignment and exercise needs in improving students’ Arabic speaking or communication skills were also identified. A set of questionnaires was distributed to 214 respondents from universities in Malaysia namely UPM, UPSI, UniSZA, and UiTM. Then, the data obtained from the administration of the questionnaire were analyzed using SDSS version 25 software and interpreted based on the analysis of mean scores and standard deviations. Meanwhile, the open-ended questionnaire data were analyzed thematically. The results showed that respondents saw the development of the E-Muhadatsah kit as a great need for non-Arab students in higher education. In addition, the study also found that respondents showed a high interest in Arabic speaking, confidence in Arabic communication, and students' willingness to communicate in Arabic at a high level. Thus, this study proposes the development of a conversation-based Arabic language interactive multimedia kit to improve the communication proficiency of non-Arabic speakers, further able to help Arabic language educators to diversify multimedia-assisted teaching methods

Development of English as a Second Language in the Context of Massively Multiplayer Online Role-playing Games

This dissertation examined the affordances of commercially developed massively multiplayer online (role-playing) games (MMOGs) for second language (L2) development. It comprises three self-contained but related studies. The first study, as a scoping review, synthesized 32 empirical papers, which investigated different aspects of L2 development in the context of these games. It sought to find out what aspects of L2 learning have been examined and how, and what the findings suggest regarding L2 learning opportunities and outcomes. This study highlighted that empirical research in this area is mainly qualitative and that L2-related affective factors, vocabulary, and communicative competence have been the most widely investigated topics. It concluded that MMOGs afford socially supportive and emotionally safe environments, which encourage L2 learners to use multiple opportunities for enriching their L2 vocabulary and enhancing their communicative competence in the target language. The second study was an exploratory research. It adopted an interactionist approach to characterize the nature of the negotiations of meaning that occurred in the conversational exchanges between native (NES) and non-native English speakers (NNESs) playing World of Warcraft. The data consisted of 63 hours of audio-recorded, in-game conversations over a 5-month period. The participants consisted of an NES and 6 NNESs who were divided into two groups (low and high intermediate) according to their English language proficiency. This study identified and characterized the most frequently occurred triggers, indicators, responses and reaction to the responses in three types of dyadic conversational exchanges. The third study examined L2 development through ―usage-based‖ theories of language learning. It was a time-series (longitudinal) research that examined the trend of changes in the linguistic complexity of the NNESs‘ spoken discourse during a 5-month period of gameplay. This examination involved repeated (in three equally-distributed time intervals) calculations of fourteen syntactic complexity indices and the indices associated with three components of lexical complexity (diversity, sophistication, and density). Overall, the results turned out to be more promising for the low intermediate than the high intermediate group of the NNESs. More detailed findings are presented and discussed in light of the current literature