Learning Engagement Research Articles

Utilizing YouTube Videos to Improve Speaking Skills in Seventh-Grade Students at MTsN 2 Kota Bengkulu

This study aimed to explore how YouTube digital videos could enhance students’ speaking skills and to identify the factors that influenced these improvements. Conducted as Classroom Action Research, the study involved 36 seventh-grade students at MTsN 02 Kota Bengkulu. The research employed a mixed-methods approach, gathering both quantitative data through speaking tests and qualitative data through observations, field notes, and interviews. The results revealed that key factors driving this improvement included increased student motivation and active participation in the learning process. Students reported feeling more confident in their speaking abilities, and the authentic language input provided by YouTube videos helped them improve their pronunciation, vocabulary, and fluency. The novelty of this study lay in applying YouTube as a pedagogical tool within an Indonesian junior high school context, specifically focusing on its impact on speaking skills. Furthermore, the study highlighted the importance of combining digital media with interactive classroom activities to create a more engaging and effective learning environment. This research contributed to the growing body of literature on digital media in education by offering practical insights into how YouTube videos could be successfully integrated into language teaching to foster speaking skill development among younger learners. The findings suggested that YouTube digital videos served as an effective medium for improving language proficiency, particularly in EFL (English as a Foreign Language) contexts, where authentic language exposure was often limited. Moreover, the study emphasized the crucial role of motivation and student engagement, offering valuable strategies for educators to implement in their classrooms to enhance student learning outcomes.

Advancing language learning: The impact and challenges of Computer-Assisted Language Learning (CALL)

Abstract. Computer-Assisted Language Learning (CALL) represents a transformative approach in modern education, integrating technology to enhance language acquisition effectively. This comprehensive review examines the various dimensions of CALL, focusing on its deployment through interactive software, online courses, mobile applications, and the accompanying challenges. Quantitative analyses reveal significant improvements in learner engagement and cognitive load management due to multimedia and interactive content. Moreover, the adaptability of CALL to cater to individual learning needs through personalized and adaptive learning systems demonstrates a superior proficiency acquisition rate. Despite these advancements, CALL implementation faces substantial barriers including technological limitations, the need for extensive teacher training, and concerns regarding data privacy and security. This article assesses the statistical impact of these elements on language learning outcomes and suggests strategies for overcoming the associated challenges. Through mixed-methods research and longitudinal studies, the effectiveness of CALL platforms is substantiated, highlighting their pivotal role in reshaping language education across diverse demographic and geographic spectrums.

Effects of communication mode on EFL learners’ engagement and request learning

This study examines how different communication modes (two kinds of computer-mediated communication and face-to-face mode) influence EFL learners’ engagement during a collaborative writing task and its impact on subsequent request learning outcomes, measured by sociopragmatic and pragmalinguistic competence. Ninety-six high school English learners were assigned to groups for text-based chat, audio chat, and face-to-face interactions to complete a collaborative writing task in pairs. Two versions of the Written Discourse Completion Test (WDCT) were employed as pre-tests and post-tests to assess and compare the learning outcomes in request-making across the three groups. Cognitive and social engagement of learners were assessed by using multiple measures derived from chat logs and recordings, while a post-task questionnaire was utilized to gauge emotional engagement during the task. The results indicated that learners in the face-to-face and audio-chat conditions demonstrated higher levels of cognitive engagement compared to the text-chat group. The text-chat group reported fewer instances of negative emotions. In terms of request learning outcomes, all groups showed an increase in sociolinguistic appropriateness; however, no significant differences were found in overall pragmalinguistic competence. Social and emotional engagement significantly correlated with sociopragmatic improvement in the audio-chat mode, yet these indicators did not demonstrate significant predictive power.

ELT Student Teachers’ Acceptance and Knowledge Base of Integrating Virtual Reality into Task-Based Contexts

This qualitative study explored the acceptance and knowledge base of English language teaching (ELT) student teachers regarding the incorporation of virtual reality (VR) into oral tasks to promote learner engagement within the framework of task-based language teaching (TBLT). Twenty-six ELT student teachers, pursuing their Master of Arts degree at a university in Hong Kong, were interviewed about their acceptance of VR oral tasks and assessed on their knowledge of task engagement and VR. Content analysis, guided by the technology acceptance model and the technological pedagogical and content knowledge (TPACK) framework, was conducted to analyse their interview data. The findings indicated their acceptance of VR-based oral tasks, based on their overall positive perceptions of VR, and confirmed their existing pedagogical knowledge of task engagement. However, their concerns regarding the effectiveness of VR-based oral tasks were influenced by their insufficient TPACK. The findings highlight their urgent need for professional training, not only to enhance VR experiential opportunities but also to learn how to develop teaching materials that integrate VR.

Teacher support in AI-assisted exams: an experimental study to inspect the effects on demotivation, anxiety management in exams, L2 learning experience, and academic success

Although AI technologies show great promise for education, their inclusion into assessment systems has generated debates regarding student motivation, anxiety, learning opportunities, and academic results. This study explored the influence of teacher support in AI-assisted exams on L2 learners’ demotivation, anxiety, L2 learning experience, and academic success. Conducted at a large university in Ethiopia, participants included 92 BA Management students from two intact classes, equally distributed by gender and ranging in age from 18 to 23. The two intact classes were randomly divided into an experimental and a control group. Using a quantitative quasi-experimental pretest–posttest control group design, the study administered an Oxford Quick Placement Test, the Academic Motivation Scale, the Foreign Language Classroom Anxiety Scale, the L2 Learning Experience Scale, and a researcher-made test to assess academic success. The AI tools integrated into the exams included automated assessment and feedback systems to enhance learner engagement. Chi-square analyses and independent samples t-tests revealed significant positive effects of teacher support on reducing demotivation and anxiety, enhancing L2 learning experiences, and improving academic success in the experimental group compared to the control group, highlighting the benefits of combining AI tools with teacher support. These findings suggest that teacher support in AI-assisted exams can substantially benefit L2 learners. Additionally, the findings indicate that AI-assisted exams can considerably improve learning outcomes when paired with effective teacher involvement, highlighting implications for various stakeholders in L2 instruction. Implications of the study, limitations, and suggestions for future research are discussed.

Assessing Learning in Mathematical Sensemaking Electromagnetism Instructions among Rwanda Polytechnic Students at Huye College

In the realm of electromagnetic (EM) courses in engineering, many studies have reported students’ learning difficulties related to mathematical frameworks representing physical phenomena. Students’ learning engagement and learning gains are not satisfying. The present study assessed first-year engineering students’ behavioural engagement and perceived learning gains in mathematical sensemaking electromagnetism instructions at RP-Huye College. Within a single-case research design, a six-weeks intervention incorporating mathematical sensemaking instructions, supported by physical experimentation and computer simulations, was implemented to 61 first-year engineering students who were enrolled in the department of electrical and electronics engineering. All enrolled students were purposively recruited to participate because this target population was less than 100. Data were collected through classroom observations, which used the behavioural engagement related to instruction (BERI) and a post-topic evaluation, which used a semi-structured questionnaire. Data analysis involved the use of graphs, descriptive statistics and inductive thematic analysis. Findings revealed that students were mostly engaged during mathematical sensemaking by hands-on and simulation-based activities, particularly in topics related to electromagnets, where engagement levels peaked at 7.5 in average. Conversely, lecture-based tasks, especially on magnetic forces and electromagnetic induction, recorded the lowest engagement at 6.2 in average. The post-topic assessment on perceived learning gains showed that students had highly positive perceptions on their learning experiences (M=4.82, SD=0.48) and recognized the significance of EM in engineering (M=4.85, SD=0.38). These numerical results were complemented by students’ narrations, which indicated that they gained particular attention about specific EM formulas and how they can apply them in engineering. However, the present study also noted that further refinement in instructional design, particularly by incorporating specific dimensions of mathematical sensemaking, could optimize learning outcomes for EM courses in engineering. Additionally, formal assessments of students’ mastery and experimental studies can benefit future work.

The Role of Digital Technology in Supporting English Language Learners: Balancing Engagement and Access in Secondary Schools

This study explores the impact of digital technology on the engagement and learning experiences of English language learners (ELLs) in secondary classrooms. Through interviews and focus group discussions with three ELLs, the research identifies key themes in how students use technology for research, language assistance, and overall learning support. The findings suggest that digital tools such as smartphones, online dictionaries, and translation apps play a vital role in helping ELLs navigate linguistic challenges and engage with academic content. Students rely on these tools to independently clarify unfamiliar terms, conduct research, and overcome language barriers. Additionally, the study highlights that while ELLs value technology, they express a preference for balanced integration, with both traditional and digital methods supporting their learning. As schools increasingly move toward restricting personal mobile devices, the findings raise concerns about how such policies may hinder ELLs' access to essential language support tools. The study advocates for a more inclusive approach to technology integration that considers the specific needs of ELLs and leverages personal devices to foster engagement and academic success.

Empowering Education Through Teacher-Technology Collaboration

The emergence of information systems integrated with artificial intelligence (AI) technology has led to great changes in education. It provides strong support and guarantees for the education field in adapting to the transformation of the digital environment. As end users and managers of information system and technology, teachers' innovative leadership contributes to this rapid digitalization transformation in education. The current study highlights the leading role of teachers' innovative leadership in the teaching process involving the application of smart learning systems. In the smart learning environment, teachers who practice more innovative leadership improve the engagement of end user learners in collaborative activities and further improve campus organizational culture. This study further presents feasible measures for practicing innovative teacher leadership in class and conducting blended management for teacher–AI collaboration in a smart environment.

The impact of the educational environment on student engagement and academic performance in health professions education

BackgroundThis research explores the relationships between the educational environment, student engagement, and academic achievement in Health Professions Education (HPE) , specifically examining the mediating role of engagement.MethodsThe study used cross-sectional design, and data were collected from 554 HPE students via self-report questionnaires. The Dundee Ready Education Environment Measure (DREEM) assessed the educational environment while the University Student Engagement Inventory measured learning engagement across the behavioral, emotional, and cognitive dimensions. Academic achievement was measured using cumulative GPA. Relationships between study variables were analyzed using path analysis.ResultsPath analysis demonstrated that four educational environment subscales directly affected emotional engagement (48% variance explained). Students’ perception of learning and academic self-perceptions influenced behavioral engagement (28% variance explained), while cognitive engagement was influenced by academic self-perceptions (39% variance explained). GPA was positively influenced by behavioral and cognitive engagement but negatively by emotional engagement. Cognitive and behavioral engagement mediated the relationship between students’ academic self-perceptions and academic achievement.ConclusionsStudents’ perceptions of the educational environment significantly influenced emotional engagement, followed by cognitive and behavioral engagement. Cognitive and behavioral engagement directly affected academic achievement and mediated the relationship between the educational environment and academic achievement.

A Comprehensive Review on Emotional Support Delving into Concepts Functions Influential Factors and Theoretical Frameworks

To deepen the theoretical understanding of emotional support, this study selects 89 Chinese and English scholarly articles related to emotional support from databases such as China National Knowledge Infrastructure (CNKI), Web of Science, Elsevier, Wiley, JSTOR, and Taylor & Francis. Utilizing NVivo 12 for coding and framework construction, a comprehensive literature review is conducted across four dimensions: connotation, role, influencing factors, and theoretical models. The findings reveal the following: Firstly, researchers’ consensus that emotional support entails the expression of positive emotions such as concern, empathy, understanding, respect, trust, and encouragement towards others. Secondly, emotional support significantly enhances individuals' mental and physical health, and fosters students' learning engagement and academic achievement. Thirdly, the effectiveness of emotional support is influenced by the relationships between the supporter and the supported, as well as the broader supportive environment. Lastly, theoretical models of emotional support encompass the main effect model, the stress-buffering model, and the dynamic effect model.

Integrative Learning Strategies for Enhancing Critical Thinking in Islamic Religious Education

This research employs a qualitative approach to explore integrative learning strategies aimed at enhancing critical thinking skills in Islamic Religious Education at the secondary school level in Padang, Indonesia. The study involved four teachers and 120 students from various classes to provide a comprehensive perspective. Given the increasing importance of critical thinking in education, especially in subjects that shape students' moral and ethical foundations, this research emphasizes the crucial role of developing these skills within Islamic Religious Education. Data were collected through direct classroom observations, in-depth interviews with teachers and students to capture their experiences and insights on the strategies used, and a detailed analysis of relevant teaching materials. The findings reveal that group discussions create a dynamic environment where students can exchange ideas, broaden perspectives, and develop critical arguments. Case study analyses enable students to connect religious concepts to real-life situations, reinforcing the practical significance of religious teachings. Problem-solving activities promote logical, systematic, and reflective thinking skills, especially when addressing complex moral and ethical dilemmas. The study also highlights that these strategies not only enhance students' critical thinking but also increase their active engagement in learning, deepen their understanding of religious teachings, and foster a reflective approach toward moral values. This research offers an in-depth understanding of the effectiveness of integrative learning strategies in Islamic Religious Education and underscores their relevance in preparing students to meet the demands of modern education, which prioritizes critical thinking skills.

A systematic review on robot-assisted language learning for adults

In the 21st-century era of globalization, language proficiency is a pivotal connector across cultures, with artificial intelligence (AI) revolutionizing educational paradigms through Robot-Assisted Language Learning (RALL). This systematic review examines the role of RALL in adult second language acquisition, focusing on its pedagogical strategies and learner engagement. Unlike the previous systematic reviews that explore the multifaceted roles of robots in language learning, including as teachers, tutors, assistants, and peer learners, we identify explicit and implicit instructional strategies within RALL, highlighting the unique learning landscape of adult learners characterized by self-regulation and self-direction. We assess the latest advancements in RALL for adult learners through three research questions, compare the effectiveness of explicit versus implicit instructions, and investigate affective factors enhancing RALL performance. Our review contributes a comprehensive status analysis, in-depth exploration of interaction modes, and insights for future research directions, providing a roadmap for academic research and practical guidance for educators and robot developers. This study aims to optimize RALL strategies to better meet the needs of adult learners, fostering a more efficient and engaging language learning experience.

Teacher Questioning for Engaging EMI: A Quest for the Holy Grail?

AbstractQuestions asked by teachers are vital to maintaining and sustaining learner engagement. In Hong Kong secondary classrooms where English is used as the medium of instruction (EMI), productive teacher questioning is key to promoting both language and content learning. Drawing on classroom observations and in-depth interviews, this study investigated the questioning practices of two teachers from EMI schools in Hong Kong. Quantitative and qualitative analyses of the data revealed that the teachers adopted different approaches to questioning. Their questioning practices can be captured by a dynamic model of two intersecting dimensions: cognitive demand (lower- and higher-order questions) and interactional orientation (authoritative and dialogic discourses). The findings of this study support the notion of teacher questioning as pedagogy and demonstrate how productive teacher questioning can mediate learner engagement. A guiding framework is proposed for productive teacher questioning that relies on the synergistic combination of cognitive demand and interactional orientation.

A comparative study on the impact of four different SVVR-supported intercultural learning environments on learners’ intercultural competence and learning engagement

ABSTRACT In the digital age, spherical video-based virtual reality (SVVR) emerges as a powerful tool for intercultural education, enabling immersive experiences that transcend geographical boundaries. However, prevalent research often reduces learners to passive observers, constraining the cultivation of intercultural competence. This study addresses the gap in current research by examining the effects of learning devices and interaction components within SVVR environments, based on embodied cognition theory, on intercultural competence. Additionally, it also focuses on student engagement during intercultural learning in SVVR environments, an aspect that previous studies have insufficiently explored. Using a mixed-methods approach with 80 participants from China and Indonesia, we compared four distinct learning environments: Basic Learning Environment (BLE), Virtual Reality Learning Environment (VRLE), Basic Guide Learning Environment (BGLE), and Embodied interactive Learning Environment (EILE). The findings indicate that the EILE, which achieves a higher level of embodied interaction, significantly enhances intercultural competence and learning engagement compared to other conditions. Specifically, EILE group showed superior emotional and cognitive engagement, as well as diverse and proactive behavioural patterns. This study underscores the importance of educational design in SVVR, showing that careful consideration of learning devices and interactive components can promote active learning, deeper understanding, and positive learning behaviours.

University Students' Perspectives on the Use of Interactive Presentation Technologies

This study seeks to examine University students' perspectives on the use of interactive presentation technologies (namely Classpoint) in order to foster an interactive learning environment and enhance motivation during remote learning. The sample consisted of 66 students who were currently enrolled in undergraduate and graduate programmes at Arab Open University. In order to accomplish the objective of the study, a questionnaire consisting of a 20-item Likert scale was devised to assess the efficacy of employing Classpoint in terms of presentations, classroom engagement, and motivation for remote learning as seen by the students. Furthermore, 14 students were subjected to semi-structured interviews. This study employs a combination of qualitative and quantitative methodologies. The findings indicated that the utilisation of Classpoint resulted in heightened classroom engagement and enhanced students' enthusiasm for remote education. The findings also indicated a strong inclination among students to utilise Classpoint for establishing an engaging learning atmosphere during remote education. Furthermore, there were statistically significant variations in the average scores based on the students' educational level, favouring those enrolled in the master's programme. However, no statistically significant difference was observed based on the students' gender. Moreover, the findings indicated that there were no statistically significant disparities in student motivation for remote learning based on educational level and gender. Additionally, the qualitative analysis revealed a substantial enhancement in student motivation because of using Classpoint.

Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles

Ubiquitous learning enables software analysts to acquire knowledge and design test oracles from online resources including developer documentations, forums and collaborative platforms. Test oracles are primarily designed by humans and may contain quality defects. Mutation testing can facilitate the adaptability of ubiquitous learning to enhance software quality assurance. Unfortunately, mutation testing generates a large number of faulty versions known as mutants to analyze the quality of test oracles which is computationally expensive. In this paper, we proposed minimal path selection strategy to select fewer and non-trivial mutants to analyze diverse test oracles realizing ubiquitous learning environments. The proposed selection strategy explores the relationship between faulty conditions and output statements to identify feasible paths. To establish a ubiquitous learning setup, diverse test oracles are selected by incorporating user input, automated scripts and developer insights. This approach aims to enhance learner engagement and effectively design test oracles. The empirical evaluation and state-of-the-art comparison of various Java-built software programs demonstrated the potential of ubiquitous learning in software quality assurance by reducing 75% of the generated mutants. Furthermore, only 64%–85% of adequate test oracles were required to meet the desired quality assurance criteria. The study highlights the significance of personalized and adaptive approaches to assure software quality in ubiquitous learning environments.

L2 Grit and Its Association with Online Learning Engagement and Interaction Strategies: A Structural Equation Model

L2 Grit and Its Association with Online Learning Engagement and Interaction Strategies: A Structural Equation Model

Factors influencing EFL learners’ speaking fluency: A case study at a high school in Vietnam

This study investigates how four key factors - English exposure, learning environment, motivation, and teaching pedagogy - affect English speaking fluency among high school students, using both qualitative and quantitative research methods. The findings indicate that frequent exposure to English, an engaging learning environment, and effective teaching pedagogy significantly enhance students' speaking fluency and motivation. Qualitative results show that students who interact with English regularly, whether through classroom activities or extracurricular engagement, demonstrate better fluency and enthusiasm. A dynamic and supportive learning environment, combined with interactive teaching strategies, fosters higher levels of student participation and motivation. However, the study acknowledges several limitations. The small sample size used in the qualitative phase may not fully represent the broader student population, potentially impacting the generalizability of the findings. The reliance on self-reported data in the quantitative analysis introduces the possibility of bias, which could affect the accuracy of the results. The study also notes that focusing on a limited set of factors might overlook other influential elements such as individual learning styles or external pressures. Future research should aim to include a larger and more diverse sample, explore a broader range of factors affecting English fluency, and incorporate various activities and technological tools to address these limitations. By expanding the scope of research and incorporating these suggestions, more comprehensive strategies can be developed to improve English speaking fluency among students. This approach will provide valuable insights for educators and policymakers, assisting them in designing more effective language programs and interventions that enhance students' communicative competence and overall language proficiency.

The limits of learning engagement and academic leadership within the higher education digitalization process - analysis by using PLS SEM.

There is convincing evidence that the learning environments digitalization of tools and equipment ultimately results in the speed and depth learning involvement of academia members, by raising attainment of each of the digital learning experiences. The majority of the research that was conducted on the topic of enhancing the digital skills of learners, which would ultimately lead to an increase in their active engagement, was conducted on students in primary and secondary education, leaving members of higher education outside of the scope of the study. Given the uninterrupted search for academic performance and innovation, the current research considers the technological changes that lead to the transformation of the traditional academic learning environments as previously known. The current paper considers the changes in the learners' engagement in the context of the dually digital transformation of the higher academic multi-institutional digitally-learning enhancements. An important factor to be considered regards the leadership evolution (in terms of teaching) that over time, led to a different speed contextual shift, according to its effectiveness, leading to higher or lower students learning (dis)engagement. The current manuscript aims to examine how the higher education digitalization levels could affect the student's learning engagement, under the close monitoring of the academia leadership styles practice. Data collection and analysis implied at first a qualitative approach by issuing an online-distributed survey that resulted in a number of 2272 valid responses. After performing structural equation modelling and proving a valid assessment tool, the analysis resulted into statistically proving the validity of two main hypotheses according to which students learning engagement has a positive effect on the practice of academic leadership. Additionally, results emphasized the fact that higher education digitalization has altogether a negative effect of students learning engagement. Consequently, the current study stresses on the importance of different peers' categories in the context of higher education institutions performance, with an emphasis on the different levels of students' engagement and the leadership styles evolution and practice, aspects uniformly developing within a continuously digitally transformation of the higher education environment.

Analysing the Impact of Gamification Techniques on Enhancing Learner Engagement, Motivation, and Knowledge Retention: A Structural Equation Modelling Approach

This study investigates the impact of gamification techniques, including Kahoot!, Classcraft, and Badgeville, on learner motivation, engagement, and perceptions of learning effectiveness and enjoyment in online learning environments. Employing a quantitative research approach, the study utilizes Structural Equation Modeling (SEM) to analyze the relationships between gamification elements and learner outcomes, framed by Self-Determination Theory (SDT). Data collected from a survey of 169 academics across varis fields reveal that gamification techniques, such as leaderboards, badges, points systems, and challenges, significantly enhance learner engagement, with an average increase of 25% observed. Rewards, incentives, and competitive challenges boost both intrinsic and extrinsic motivation, leading to a 30% improvement in learner performance. Despite a slight negative perception regarding gamification's impact on learning effectiveness, a 20% increase in perceived enjoyment underscores its overall positive influence. Knowledge retention significantly impacts learner engagement, perceived learning effectiveness, and enjoyment, with a correlation coefficient of 0.65 between retention rates and engagement levels. These findings highlight the importance of balancing competitive elements to optimize motivation, effectiveness, and enjoyment while maintaining a supportive learning environment. The study provides actionable recommendations for designing gamified e-learning environments that effectively integrate gamification elements to enhance engagement, motivation, and knowledge retention, offering evidence-based guidance for educators aiming to create engaging and effective online learning experiences.