the proceedings contain 16 papers. the topics discussed include: what do students feel about learning programming using both English and their native language?;students' types of argumentative knowledge constructi...
ISBN:
(纸本)9781538608920
the proceedings contain 16 papers. the topics discussed include: what do students feel about learning programming using both English and their native language?;students' types of argumentative knowledge construction process in social collaborative learning environment;the effect of scenario-epistemic game on higher order thinking skills among high school chemistry students in Malaysia;a perspective from Vietnamese students on teaching of soft skills;how do first year students learn C programming in Bhutan?;students' experience and use of assessment in an online introductory programming course;how do you feel: affective expressions from computer science senior capstone projects;developing critical reflection skill among pre-service teacher through collaborative inquiry using social media;why do female students choose to study CS in the Kingdom of Saudi Arabia?;the effects of electronic textbook implementation on students' learning in a chemistry classroom;a systematic review of learning analytics intervention contributing to student success in online learning;the effect of mobile problem-based science dictionary application DicScience PBL towards students' mastery of scientific terms and critical thinking;participatory refinement of participatory outcomes: students iterating over the design of an interactive mobile learning application;and work in progress - the impact of the student scrum master on quality and delivery time on students' projects.
the advent of the education metaverse has transformed the landscape of learning and teaching, offering immersive and dynamic. the Education Metaverse represents a transformative paradigm shift in the field of educatio...
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Grading short answer questions in higher education often poses significant challenges due to its subjective nature and time-consuming process. As educational institutions expand, the need for efficient and objective g...
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Distributed Denial of Service (DDoS) attacks are a critical threat to the security and reliability of Software-Defined Networking (SDN) environments. Existing datasets for training machine learning (ML) models, such a...
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Withthe increasing popularity and preference of online classes, teachers are at a disadvantage of losing face-time with students and are faced withthe challenge of monitoring their students’ attention levels remote...
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Automated Assessment of English Spoken Discourse is invaluable tool used in the process of learning foreign languages, teaching and communication as it is capable of delivering a large number of assessments of spoken ...
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Artificial intelligence and machine learning applications (AI/ML) provide unique opportunities for documentation, assessment and protection of world cultural heritage, at risk from natural disasters such as earthquake...
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Machine learning and data mining techniques have become indispensable in the field of bioinformatics withthe advancements in big data analysis such as omics, biomedical imaging, and signal processing. Toward developi...
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Robots have become increasingly important in a variety of life domains as a result of the rapid advancement of technology. Additionally, robots are employed in education as teaching assistants in science, art, and lan...
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ISBN:
(纸本)9789819761050
Robots have become increasingly important in a variety of life domains as a result of the rapid advancement of technology. Additionally, robots are employed in education as teaching assistants in science, art, and language courses. this research aims to explore the potential of robotic systems as a multipurpose tool for increasing cultural awareness, language proficiency, and communicative competence in the GenAI era. Language games, conversation simulations, and real-time feedback mechanisms are just a few examples of interactive scenarios enabled by virtual robot systems or tutor robots that enable immersive language experiences that go beyond the limitations of conventional schooling. this research contributes knowledge that explores how AI can be used to personalize language teaching according to the needs and learning styles of each student in higher education. the total population of undergraduate students involved in this research was 350 for the 2023 academic year, with 24 students selected purposefully based on sample characteristics from this group who were exposed to using AI for one semester. the research method used is a mix method with quantitative analysis of the results of surveys and interviews with students who are known to have given positive responses and proposes a comprehensive strategy for using AI robot technology in EFL classrooms, which can significantly improve effective learning outcomes. the survey results also show that if educators have a solid understanding of the relationship between linguistic acquisition and technological advances, they will be better prepared to design engaging, individualized lessons that prepare their students to use the language effectively in real-world contexts. the robot-assisted language learning (RALL) approach used in this study, withthe integration of robots in the classroom, has the potential to change the way people learn languages to make it more interesting, fun, and motivating, increase engagement
this paper presents the design and implementation of a rural education platform utilizing Improved Support Vector Machine (ISVM) and Deep Neural Network (DNN) methodologies within a cloud computing framework. the plat...
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