ETR&D

Mastering correct pronunciation is crucial for effective Spanish language learning and communication. However, many existing language learning resources lack adequate coverage of pronunciation guidance and feedback mechanisms. This study aims to address this gap by developing SpanishBot, an innovative chatbot designed to facilitate the learning of Spanish letter pronunciations and their variations for non-native speakers. Forty-eight participants, unfamiliar with Spanish, were randomly divided into an experimental group using SpanishBot and a control group using independent learning methods. The experimental group interacted with SpanishBot over a 2-month period, which utilized Python programming and the Line instant messaging platform for delivering personalized pronunciation feedback and practice. Instruments included a pre-test and a post-test, as well as the SpanishBot system, which provided real-time feedback on pronunciation accuracy based on audio recordings. Findings revealed a statistically significant difference between the two groups’ post-test scores, with the experimental group demonstrating remarkable improvements in Spanish pronunciation proficiency. This study highlights SpanishBot’s potential in language education, specifically for Spanish pronunciation training.

In higher education, concept mapping has been extensively adopted as an assessment and evaluation tool for conceptual knowledge. In recent years, an increasing number of researchers have applied concept mapping to teaching in technology-based environments. However, no research was found to holistically explore the role of concept maps in technological contexts of higher education, or their influences on different learning aspects. To address this gap, the present study referred to the technology-based learning model to conduct a systematic review of the dimensions of the research trends, features (including data analysis, participants, media of concept maps, application domains, and roles of concept maps), and research foci. Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedure, this study reviewed the Social Sciences Citation Index articles published in technology-based learning and higher education journals by the end of 2021 from the Web of Science database. The results indicated that in studies on the use of concept maps in technological contexts in higher education (CMHE), the most productive countries/regions (of the first authors) were Taiwan and the United States. The most frequently adopted data analysis methods were quantitative analysis and mixed. In the aspect of application domains, Engineering (including Computer courses) was the most frequent subject for CMHE studies, followed by Language, Social Studies, and Health, Medical and Physical Education. Desk-top computers were the most frequently adopted medium for working on concept maps, although there was increasing adoption of mobile devices. The role of concept maps was mainly as a personal mindtool and assessment and evaluation tool, followed by a collaborative mindtool. In terms of research foci, the cognition dimension was explored the most in CMHE studies, followed by the affect dimension, and learning behavior. Based on the findings of this study, several recommendations are made as a reference for educators, researchers, and policy makers in higher education.

To help young students succeed in problem-based learning (PBL), researchers suggested investigating students’ need for cognition (NFC), one’s inclination to exert mental effort during learning. How one puts mental effort into a learning task is related to motivation. If motivated, students are more likely to engage in challenging tasks, put in more effort, and feel competent about what they are doing. This study investigated, through a mixed-methods design, middle school students’ NFC, their motivation to learn, their learning performance, and the relationships among these factors as they engaged in technology-enriched PBL. The findings showed that NFC played an important role in students’ learning. There were significant positive relationships among NFC level, intrinsic motivation both in general and in using PBL, and their learning performance. There were also significant differences in learning performance among the high, medium, and low NFC groups, showing that students in the high group performed better than their counterparts. However, the low NFC group gained more knowledge than their counterparts after using PBL. The study’s findings were further substantiated by qualitative data, which provided nuanced insights that complement the quantitative evidence through detailed topic and sentiment analyses. Limitations of the study were also discussed.

This study evaluates the impact of a computer-assisted language learning (CALL) tool for the acquisition of academic English and oral language skills in children learning English as a second language. Using a quasi-experimental design, we compare English proficiency scores for K-5 students who did or did not use the program during the 2020–21 school year. Analyses showed that learners who used the program scored higher on the overall test, including on the oral and written domains, compared to students who did not use the program. When controlling for prior year achievement, we found small, positive but non-significant effects for program users. Proficiency analyses did not reveal any significant differences between student groups. The results show promising evidence that CALL tools, and particularly those focused on oral language development, can be used to provide structured support to students for learning academic English and developing greater overall English language proficiency.

This study investigated the sentiment of Twitter discourse on Open Educational Resources (OER). We collected 124,126 tweets containing hashtags related to OER posted from January 2017 to December 2021. We performed fine-grained sentiment analysis using Bidirectional Encoder Representations from Transformers (BERT) to categorize tweets into five sentiment classes: strongly negative, weakly negative, neutral, weakly positive and strongly positive. In addition, thematic analysis was performed by using PyTorch to identify the hidden themes in the tweets. Findings from this study reveal a predominantly positive sentiment toward OER on Twitter, highlighting the perceived benefits of accessibility, inclusivity, and the potential for enhancing educational equality. However, we also found that there are some negative sentiments expressed towards OER, with concerns about quality and effectiveness being the main reasons for criticism. In addition, longer tweets were more likely to express negative sentiments about OER. Finally, the thematic analysis revealed that most tweets center on resources or products that are obtainable through open licensing. These findings have implications for the promotion and implementation of OER and for understanding the role of social media in shaping discourse on education.

Argumentation is fundamental and essential in mathematics education. It promotes deep mathematical understanding and helps students connect abstract ideas logically. However, teachers and students in the traditional teacher-centered classroom face difficulties teaching and learning math argumentation. In this article, a cooperative conversation-based tutoring system to foster argumentative skills in learning Pythagorean Theorem was designed. The study analyzed results from an experiment involving 118 middle school students in Taiwan who engaged in formulating, validating, generalizing, and justifying learned mathematics concepts with the help of virtual tutors and peers. The control group included 82 middle schoolers who received the same learning content in the teacher-centered classroom setting. Results confirmed that this agent system promoted significantly better learning outcomes, and the learners’ argumentative experience was also enhanced. Moreover, the unique interactions that took place between each student and the agent system resulted in numerous opportunities for learning mathematical argumentation through an adaptive learning mode.

This study explores factors that influence teachers’ technology adoption in technology-rich classrooms and how they interact by integrating task technology fit into the Technology Acceptance Model (TAM). A proposed model was tested via 343 survey responses from Grade 1–12 teachers using structural equation modeling. The results indicated technology task fit played an essential role in teachers’ technology adoption in technology-rich classrooms. Perceived ease of use, however, did not influence teachers’ intention to use technology as previously predicted. The findings suggest that to promote technology adoption in teaching, it is important to help teachers integrate technology into their instructional design and create a supportive culture with sufficient technological support.

Role-play tasks have long been used by researchers and practitioners to observe L2 (Second language) speaking performance. This social-situated simulation allows students to employ their language skills to converse about real-life themes. While role-plays are highly plausible to actively engage students in interactive learning environments, it has been challenging to determine whether students perform at an adequate level of speaking proficiency with an appropriate learning approach. Nevertheless, the emerging technology-supported role-play tasks employing AI (artificial intelligence) could enhance competencies, enabling students to perform better in role-plays. Therefore, to enhance and support students’ performance in role-plays, English speaking skills, and their interaction mindset, we integrated an AI-based speaking learning app in the Generalization, Formulation, Correction, Appreciation (AI-GFCA) learning model. A quasi-experiment was conducted in a university with a total of 45 students. One class was randomly assigned to apply the AI-GFCA learning model as the experimental group, while the other was the control group (AI-C). The findings indicated that the AI-GFCA learning model could significantly enhance students’ role-play performance, English speaking skills, and interaction mindset. Furthermore, students produced fewer L2 errors and perceived a better learning experience than the AI-C group. It is noted that with the support of AI learning speaking through role-play tasks, students received sufficient corrective feedback, which encouraged them to establish a positive and motivating learning interaction, thus benefiting their academic performance.

The ever-changing global educational landscape, coupled with the advancement of Web3, is seeing rapid changes in the ways pedagogical artificially intelligent conversational agents are being developed and used to advance teaching and learning in higher education. Given the rapidly evolving research landscape, there is a need to establish what the current state of the art is in terms of the pedagogical applications and technological functions of these conversational agents and to identify the key existing research gaps, and future research directions, in the field. A literature survey of the state of the art of pedagogical AI conversational agents in higher education was conducted. The resulting literature sample (n = 92) was analysed using thematic template analysis, the results of which were used to develop a conceptual framework of pedagogical conversational agents in higher education. Furthermore, a survey of the state of the art was then presented as a function of the framework. The conceptual framework proposes that pedagogical AI conversational agents can primarily be considered in terms of their pedagogical applications and their pedagogical purposes, which include pastoral, instructional and cognitive, and are further considered in terms of mode of study and intent. The technological functions of the agents are also considered in terms of embodiment (embodied/disembodied) and functional type and features. This research proposes that there are numerous opportunities for future research, such as, the use of conversational agents for enhancing assessment, reflective practice and to support more effective administration and management practice. In terms of technological functions, future research would benefit from focusing on enhancing the level of personalisation and media richness of interaction that can be achieved by AI conversational agents.

Augmented Reality (AR) is increasingly being adopted in education to foster engagement and interest in a variety of subjects and content areas. However, there is a scarcity of instruments to measure the instructional impact of this innovation. This article addresses this gap in two unique ways. First, it presents validation results of the Augmented Reality Presence Scale (ARPS), which was created to evaluate presence in augmented learning environments. Using the Rasch Rating Scale Model, ARPS was validated with 90 college students involved in an AR learning experience. Second, it analyzed the correlations between ARPS scores and the Reduced Instructional Materials Motivation Survey (RIMMS). ARPS was found to be a reliable instrument to evaluate AR presence. Additionally, ARPS was found to be positively correlated to all the four RIMMS dimensions (i.e., attention, relevance, confidence, and satisfaction). These research results point to presence as a desirable outcome of AR-mediated instruction. Moreover, AR presence was facilitated by non-invasive interfaces and perceived agency. Finally, this technology was shown to be productive in addressing all motivation stages rather than working just as a starting step.

In the clinical medical field, case studies, medication records, examination results, and physician prescriptions are documented in English. As a consequence, the English for Medical Professionals (EMP) program has become one of the important courses in nursing education in non-English-speaking countries. For English as a Foreign Language (EFL) learners, learning English for medical professionals can become challenging without the support of appropriate learning contexts. In general, the didactic teaching strategy widely used in the EMP program in large classrooms is a passive method without a feedback mechanism. To address the issues of English for Medical Professionals for EFL learners, the study proposed a self-determination theory-based digital gaming approach with autonomy, competence, and relatedness. To verify the effectiveness of the proposed approach, we conducted an experiment in the EMP program by comparing the self-determination theory-based digital gaming approach with the conventional approach, and explored the differences between these two approaches in terms of learning achievement, learning attitude, critical thinking tendency, technology acceptance, and flow experience. The experimental results showed that nursing students who learned with the self-determination theory-based digital gaming approach significantly enhanced their learning achievement, learning attitude, critical thinking tendency, technology acceptance, and flow experience in the EMP program.

In the wake of network technology and with the flourishing development of online learning, online presence is beginning to be conceptualized as a pivotal determinant affecting students’ cognitive and learning behaviors in the online landscapes. However, how online presence influences students’ technology-enhanced language learning experience through a multivariate relationship is critical to developing multidimensional approaches to understand students’ online learning beyond the classroom. This study surveyed 330 undergraduate students of college English course in a comprehensive research university in Eastern China concerning online presence, learning aspiration, perceived authenticity and learning engagement which are associated with their technology-enhanced language learning experience. Structural equation modeling analyses of the survey responses indicated the significant association between online presence, learning aspiration, perceived authenticity and learning engagement. Specifically, research results supported the major hypothesis of online presence’s influence on learning aspiration and learning engagement, and this effect was found to be mediated by perceived authenticity and learning engagement. In addition, this study found that perceived authenticity significantly influenced learning engagement, and that learning engagement significantly influenced learning aspiration as well. This research extended our understanding of the main effects of online presence and would help inform teacher educators and network administrators for curriculum and technological development purposes.

Aiming to promote equity in computing, this study proposes an educational model that offers an alternative approach to inspire K-12 students to become interested in CS and develop their computational thinking (CT) skills. It also examines the experience of marginalized students during the COVID pandemic in a learning environment grounded in the model. Adopting a mixed methods case study, this work focused on the experience of 82 girls enrolled in a free after school program. The results show that access to the opportunities is critical to promote equity. The experience allows the underrepresented population, i.e. the girls, to gain deepened understanding of not only CT/CS, but also other topics like work ethics, digital citizenship, and how to work with peers to achieve goals. The girls have also broadened their views of computing related fields by working on meaningful projects that demonstrated the value of abstract concepts of coding and programming. A combination of human facilitators and well-constructed tutorials has the potential of improving girls’ self-study skills and preparing them to become more independent learners.

The benefits of peer evaluation of teaching effectiveness and quality in higher education are well documented. While instruments exist for the review and evaluation of entire online courses, there is no standardized single-lesson, peer evaluation instrument available for online instruction. This pilot study focused on the validation of a peer observation and evaluation tool for use with single lessons in both synchronous and asynchronous online courses in an inter-professional school of health professions. The researchers modified a psychometrically validated instrument developed for in-person peer observation by adding items from a renowned online course rubric to create a peer observation tool, entitled the Peer Observation and Evaluation Tool-Online (POET-O). The resulting instrument demonstrated adequate construct validity and reliability by using the many-facet Rasch measurement (MFRM) technique. MFRM results also indicated potential places to revise and improve the instrument. Recommendations for implementing the peer evaluation process of teaching are provided.

To date, neuroanatomy education courses are still based on two-dimensional (2D) illustrations combined with cadaver dissections. To gain a more comprehensive understanding of neuroanatomy, we offered mixed reality experience using a head-mounted device (HMD) for medical students during their neuroanatomy course. This pilot study´s purpose was to determine whether or not, from a pragmatic view, the utilization of 3D VR/AR via HMD is viable in neuroanatomy courses and aimed to evaluate the feasibility of using mixed reality in neuroanatomy education and experiences with the mixed reality brain environment. A virtual model including major neuroanatomical structures was generated from a MRI dataset using computer software. Major structures were displayed and annotated in different combinations and scenes using an HMD. Along with the 3D virtual model, the original MRI was presented in a virtual form inside the HMD. Conventional 2D anatomical atlases were also used during the seminar. Thirty medical students (11 male; 19 female; average: 23.2 years) in their second year were recruited from October 2022 to February 2023 for this study via open invitation during neuroanatomy lectures. Participants were asked to wear the HMDs and to take a 2 h neurosurgery-oriented mixed reality seminar given by a neurosurgical teacher in small groups (3 per group). A questionnaire comprising five levels of options was designed and used to evaluate the feasibility/effectiveness of this seminar. The mixed reality environment, comprising virtual 3D models of major brain structures, virtual MRI, and conventional 2D anatomical graphs, was uncomplicated and feasible for neuroanatomy education of the medical students. According to our survey, all participants (30/30) strongly agreed that the 3D visualization of the spatial relationships between anatomical structures was easy to use as a meaningful supplement. Twenty-one of the participants strongly agreed and nine quite agreed that they had more interest in neuroanatomy. Eighty-seven percent of the participants were strongly satisfied with the mixed reality seminar versus conventional neuroanatomy seminars, and the other 13% were quite satisfied with the mixed reality approach. Most of the participants (20/30) strongly agreed that mixed reality helped them memorize the anatomical structures, and 9/30 participants quite agreed. Seventy-four percent of the participants agreed that immersive mixed reality is better than 3D models presented in 2D devices. Over half of the participants could wear the HMD for over 60 min (65%) without any ophthalmic discomfort, and the HMD was reported to be well tolerable (57%). Nearly three-fourths of the participants found that handling the device was extremely simple, and the other part indicated that it was quite simple. No health issues or discomfort on the forehead occurred. As a consequence, the seminar has been officially classified as an elective neuroanatomy course for second-year medical students. The use of mixed reality with HMDs to illustrate 3D brain models relevant for the neuroanatomy cadaver dissection education and described in our study was positively perceived by the medical students and demonstrated the viability of 3D AR/VR via HMD in neuroanatomy education. Future research lines are warranted to determine the usefulness of mixed reality technologies to effectively support medical students education of the complex three-dimensional brain anatomy.