Robot-assisted Language Learning Research Articles

Pitch It Right: Using Prosodic Entrainment to Improve Robot-Assisted Foreign Language Learning in School-Aged Children

Robot-assisted language learning (RALL) is a promising application when employing social robots to help both children and adults acquire a language and is an increasingly widely studied area of child–robot interaction. By introducing prosodic entrainment, i.e., converging the robot’s pitch with that of the learner, the present study aimed to provide new insights into RALL as a facilitative method for interactive tutoring. It is hypothesized that pitch-level entrainment by a Nao robot during a word learning task in a foreign language will result in increased learning in school-aged children. The results indicate that entrainment has no significant effect on participants’ learning, contra the hypothesis. Research on the implementation of entrainment in the context of RALL is new. This study highlights constraints in currently available technologies for voice generation and methodological limitations that should be taken into account in future research.

Designing an authoring system of robots and IoT-based toys for EFL teaching and learning

This study aims to design an authoring system of robots and IoT-based toys for creating a scenario-based interactive learning environment for young English as a Foreign Language learners. This study adopts a design-based research approach to investigate the pedagogical needs, the critical features and usability of such a authoring system. Twelve adult participants, including EFL teachers, parents, non-technical, and technical professionals, voluntarily participated in this study to co-develop and evaluated the authoring system through iterations of needs collection, system design, system testing and refinements. An authoring system, consisting of IoT-based toys, a robot and a script editor, was finally developed taking four cycles of iterative improvements in 18 weeks. Eleven pedagogical needs concerning children’s language and cognitive development, better children-robot interaction and practical issues were identified. The modifications made across different versions of the authoring system were presented in detail. The results also show that the issues of effectiveness, robustness and efficiency were the most frequently identified, and that the system had achieved good usability after four rounds of design and refinements. Design principles and guidelines also merged as a result providing insights into the effective design of Robot Assisted Language Learning in particular and Technology-Enhanced Language Learning in general.

Interaction and collaboration in robot-assisted language learning for adults

This article analyses how robot–learner interaction in robot-assisted language learning (RALL) is influenced by the interaction behaviour of the robot. Since the robot behaviour is to a large extent determined by the combination of teaching strategy, robot role and robot type, previous studies in RALL are first summarised with respect to which combinations that have been chosen, the rationale behind the choice and the effects on interaction and learning. The goal of the summary is to determine a suitable pedagogical set-up for RALL with adult learners, since previous RALL studies have almost exclusively been performed with children and youths. A user study in which 33 adult second language learners practice Swedish in three-party conversations with an anthropomorphic robot head is then presented. It is demonstrated how different robot interaction behaviours influence interaction between the robot and the learners and between the two learners. Through an analysis of learner interaction, collaboration and learner ratings for the different robot behaviours, it is observed that the learners were most positive towards the robot behaviour that focused on interviewing one learner at the time (highest average ratings), but that they were the most active in sessions when the robot encouraged learner–learner interaction. Moreover, the preferences and activity differed between learner pairs, depending on, e.g., their proficiency level and how well they knew the peer. It is therefore concluded that the robot behaviour needs to adapt to such factors. In addition, collaboration with the peer played an important part in conversation practice sessions to deal with linguistic difficulties or communication problems with the robot.

A Survey of Robot-Assisted Language Learning (RALL)

Robot-assisted language learning (RALL) is becoming a more commonly studied area of human-robot interaction (HRI). This research draws on theories and methods from many different fields, with researchers utilizing different instructional methods, robots, and populations to evaluate the effectiveness of RALL. This survey details the characteristics of robots used—form, voice, immediacy, non-verbal cues, and personalization—along with study implementations, discussing research findings. It also analyzes robot effectiveness. While research clearly shows that robots can support native and foreign language acquisition, it has been unclear what benefits robots provide over computer-assisted language learning. This survey examines the results of relevant studies from 2004 (RALL's inception) to 2017. Results suggest that robots may be uniquely suited to aid in language production, with apparent benefits in comparison to other technology. As well, research consistently indicates that robots provide unique advantages in increasing learning motivation and in-task engagement, and decreasing anxiety, though long-term benefits are uncertain. Throughout this survey, future areas of exploration are suggested, with the hope that answers to these questions will allow for more robust design and implementation guidelines in RALL.

An innovative approach of incorporating a humanoid robot into teaching EFL learners with intellectual disabilities

The present case study investigated the probable effect of applying a humanoid robot as a teacher-assistant for learning and retention of English vocabulary among 10 Iranian foreign language learners with intellectual disabilities, more specifically Down syndrome. This method is a new trend in using technology to teach classes called Robot Assisted Language Learning (RALL). To this end, participants were divided into 2 groups of five, one with the help of the robot (RALL) and one without (non-RALL). Both groups received the same lessons to learn 40 English vocabulary in 8 sessions. To measure the results, three English tests were run at different times during the teaching sessions (a pre-test, post-test, and a delayed post-test). The independent sample t-test on gain scores from pre-test to post-test revealed that there was a significant difference between the gains of the RALL group (M = 12.40) and the non-RALL group (M = 8.40), which indicates that RALL instruction had a large effect on the participants’ English vocabulary improvement. Moreover, while both RALL and non-RALL groups retained the taught vocabulary, the RALL group showed a more satisfying result. The findings of this study demonstrate the positive effects of using a humanoid robot to facilitate vocabulary learning and retention among people with Down syndrome who have issues with both language learning and verbal short-term memory and need to learn through visual activities, gestures, and games. This study could be a starting point for a new line of research in second or foreign language instruction specific to people with Down syndrome.

Future of technology in language teaching and learning

Ever since the technology found its way into language education during the 1980s and 1990s, discussions surrounding language teaching and learning with technology have manifested into an interdisciplinary field, bringing together the diverse groups of scholars to consider how best to support language learning with technology. In conjunction with the ongoing advancement of technology, the field has now expanded its avenue and established multiple sub-disciplines and special interest groups, such as Intelligent CALL, virtual-reality (VR) and language learning, digital game-based language learning, virtual world and language learning, computer-mediated communication (CMC), distance and blended learning, massive open online courses (MOOCs), and mobile-assisted language learning (MALL), with even more unique and innovative subfields such as robot-assisted language learning and speech bots emerging. To respond to the increasing interest, it has become apparent that creating open platforms for scholars and practitioners to share their research outputs and pedagogical reflections is critical in contributing to the long-term growth of the field.

Learning Effect of Implicit Learning in Joining-in-type Robot-assisted Language Learning System

The introduction of robots into language learning systems has been highly useful, especially in motivating learners to engage in the learning process and in letting human learners converse in more realistic conversational situations. This paper describes a novel robot-assisted language learning system that induces the human learner into a triad conversation with two robots through which he or she improves practical communication skills in various conversational situations. The system applies implicit learning as the main learning style for conveying linguistic knowledge, in an indirect way, through conversations on several topics. A series of experiments was conducted using 80 recruited participants to evaluate the effect of implicit learning and the retention effect in a joining-in-type robot-assisted language learning system. The experimental results show positive effects of implicit learning and repetitive learning in general. Based on these experimental results, we propose an improved method, integrating implicit learning and tutoring with corrective feedback in an adaptive way, to increase performance in practical communication skills even for a wide variety of proficiency of L2 learners.

Social Robots for Language Learning: A Review

In recent years, robots have increasingly been implemented as tutors in both first- and second-language education. The field of robot-assisted language learning (RALL) is developing rapidly. Studies have been published targeting different languages, age groups, and aspects of language and using different robots and methodologies. The present review presents an overview of the results obtained so far in RALL research and discusses the current possibilities and limitations of using social robots for first- and second-language learning. Thirty-three studies in which vocabulary, reading skills, speaking skills, grammar, and sign language were taught are discussed. Beside insights into learning gains attained in RALL situations, these studies raise more general issues regarding students’ motivation and robots’ social behavior in learning situations. This review concludes with directions for future research on the use of social robots in language education.

Improvement of Japanese adults' English speaking skills via experiences speaking to a robot

AbstractThis paper reports how robot‐assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To explore the effects of this system on the speaking skills of adults, we conducted a pretest and posttest designed pilot experiment. The participants in this study were nine female Japanese university students. The participants used the system for speaking practice for a total of 30 min per day for 7 days. The results of comparing the pretests with the posttests demonstrated that the adults' English speaking skills were enhanced; in particular, their speaking accuracy, fluency, and pronunciation improved greatly. This study contributes to providing clear evidence of the effects of RALL on Japanese adults' English speaking skills.

Technological Advancement in Assisting Adaptive Learning Measures to Increase Productivity and Retention of French as a Foreign Language for Post-Modern Learners in Post-Colonial Context

In the post-globalisation era of post-modern condition, Artificial intelligence is used as an instrument in the foreign language education, the advent of the age of internet. French language learning can be both highly fulfilling and utterly disappointing. Certain innovative and reciprocal approaches of learning French are vital to learn effectively. Development in technologies has won the attention of teaching community and post-modern learners Application of Artificial Intelligence (AI) in French language learning and teaching in post-globalization India; then, the new concept of Robot-Assisted Language Learning (RALL) defined both theoretically and applied to show the new trends in the educational purposes of AI. This study notes the contributions of Artificial Intelligence in the development of reading, writing and speaking skills.

원격로봇 보조 언어교육의 아동 상호작용 질적 탐색

원격로봇 보조 언어교육의 아동 상호작용 질적 탐색

On the Use of the Humanoid Bioloid System for Robot-Assisted Transcription of Mexican Spanish Speech

Within the context of service robotics (SR), the development of assistive technologies has become an important research field. However, the accomplishment of assistive tasks requires precise and fine control of the mechanic systems that integrate the robotic entity. Among the most challenging tasks in robot control, the handwriting task (transcription) is of particular interest due to the fine control required to draw single and multiple alphabet characters to express words and sentences. For language learning activities, robot-assisted speech transcription can motivate the student to practice pronunciation and writing tasks in a dynamic environment. Hence, this paper is aimed to provide the techniques and models to accomplish accurate robot-assisted transcription of Spanish speech. The transcriptor is integrated by a multi-user speech recognizer for continuous speech and the kinematic models for the Mexican Spanish alphabet characters. The Bioloid system with the standard humanoid configuration and no special modifications or tools was considered for implementation. Particularly, the proposed transcriptor could perform the handwriting task with the Bioloid’s two two DOF (degrees-of-freedom) arms. This enabled writing of one-line short and long sentences with small alphabet characters (width <1.0 cm). It is expected that the technique and models that integrate the transcriptor can provide support for the development of robot-assisted language learning activities for children and young adults.

The Impact of Social Robotics on L2 Learners’ Anxiety and Attitude in English Vocabulary Acquisition

This study aimed to examine the effect of robot assisted language learning (RALL) on the anxiety level and attitude in English vocabulary acquisition amongst Iranian EFL junior high school students. Forty-six female students, who were beginners at the age of 12, participated in this study and were randomly assigned into two groups of RALL (30 students) and non-RALL (16 students). The textbook, the materials, as well as the teacher were the same in the two groups. However in the RALL group, the treatment was given by a teacher accompanied by a humanoid robot assistant. Two questionnaires of anxiety and attitude were utilized to measure the students’ anxiety and attitude (Horwitz et al. 1986; Alemi and Alipour 2012). The results of descriptive and t tests indicated that there was lower anxiety and a more positive attitude towards English vocabulary acquisition in the RALL group compared with those in the non-RALL group. The study showed that the students in the RALL group had great fun in the learning process; they also believed they were learning more effectively, which helped them boost their motivation in the long run. The present study provides new insights into the use of technology in the language classroom, suggesting that teachers and material developers should integrate technology into the language learning process.

Applications of Robot Assisted Language Learning (RALL) in Language Learning and Teaching

This study covers a complete overview of the theoretical rationale of application of robots, other instructional inter faces like CALL, MALL, m-learning, r-learning, different types of robots, their instructional roles , their educational activities, the related researches, findings, and challenges of robotic assisted language learning . Since robotic revolution, many investigators in different countries have attempted to utilize robots to enhance education. As many people in the world have personal computers (PCs), in the following years, Personal Robots (PR) may become the next tool for every one’s life. Robots not only have the attributes of CALL/MALL, but also are able for independent movements, voice/visual recognition and environmental interactions, non-verbal communication, collaboration with native speakers, diagnosing pronunciation, video conferencing with native speakers, native speaker tutoring, adaptability, sensing, repeatability, intelligence, mobility and human appearance. Robot- aided learning (r- learning) services can be described as interactive and instructional activities which can be interacted and performed between robots and learners in both virtual and real worlds.

On the effectiveness of Robot-Assisted Language Learning

AbstractThis study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environment. A total of 24 elementary students, ranging in age from ten to twelve, were enrolled in English lessons. A pre-test/post-test design was used to investigate the cognitive effects of the RALL approach on the students’ oral skills. No significant difference in the listening skill was found, but the speaking skills improved with a large effect size at the significance level of 0.01. Descriptive statistics and the pre-test/post-test design were used to investigate the affective effects of RALL approach. The result showed that RALL promoted and improved students’ satisfaction, interest, confidence, and motivation at the significance level of 0.01.