Emerging Technologies for Education : 8th International Symposium, SETE 2023, Sydney, Australia, November 26-28, 2023, Revised Selected Papers, Part I

• Autore: Kubincová Zuzana
• Pubblicazione: Singapore : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (349 pages)
• Altri autori: HaoTianyong CapuanoNicola TemperiniMarco GeShili MuYuanyuan FantozziPaolo YangJing
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- SETE Main Track -- Perceptions of High School Mathematics Students in the Use of Technologies for Educational Purposes -- 1 Introduction -- 1.1 Objectives -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Instrument -- 2.3 Instrument Validation -- 2.4 Data Set Key Variables -- 2.5 Data Collect Process -- 3 Results and Discussion -- 4 Conclusion -- References -- Social Innovation on Educational AI Developments. A Case Study on Social Participation on Designing AI Generative Models for Diversity -- 1 Introduction -- 1.1 Stay of the Art: Cognitive Diversity and Easy-to-Read Solutions -- 1.2 The Relevance of Validation in AI Tools for Easy-Reading -- 2 Methodology -- 2.1 Cognitive Accessibility Experts and End Users -- 2.2 Experts and Public Participation to Avoid Social Biases -- 2.3 Validation of Legal Translations: Steps to Improve Legal Accuracy -- 2.4 AI Solutions to Integrate Participation and Validation -- 3 Conclusion -- References -- Empowering Collaboration Through Immersive Technologies: Fostering Intercultural Competencies -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusions -- References -- Investigating the Adoption of Machine Translation in Foreign Language Learning: The Instructors' Perspective -- 1 Introduction -- 2 Related Works and Background -- 3 Method -- 3.1 MT Quality Evaluation -- 3.2 Survey Study with Instructors -- 4 Results -- 4.1 MT Quality Results -- 4.2 Survey Results -- 5 Discussion and Limitations -- 6 Conclusion -- References -- On the Dynamic Generation of Items Within an Assessment Test Using Genetic Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Model Description -- 3.1 General Considerations -- 3.2 Components -- 3.3 Requirements -- 3.4 Generations of the Items and Sequences of Items. ; 4 Discussions and Results -- 5 Conclusions -- References -- Engagement at a Distance: Online Instructor Behaviors to Encourage Student Success -- 1 Introduction -- 2 Review of Related Literature -- 3 Methodology -- 4 Online Instructor Behaviors Supporting Student Success -- 4.1 Behavior 1: Managing Time and Commitments -- 4.2 Behavior 2: Personalized and Timely Feedback -- 4.3 Behavior 3: Soliciting Feedback from Students -- 4.4 Behavior 4: Active Use of the Online Learning Platform -- 4.5 Behavior 5: Peer to Peer Support -- 4.6 Behavior 6: Ensure Students Have Timely Access to Technical Support -- 4.7 Evaluating the Effectiveness of the Instructor Behaviors -- 5 Conclusion -- References -- EduPort: An Intelligent Learning System Based on Deep Learning - A Preliminary Evaluation -- 1 Introduction -- 2 Related Work -- 3 The Eduport System -- 3.1 The Architecture -- 3.2 The Implementation -- 4 First Evaluation -- 4.1 Method -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- Examining the Technological Pedagogical Content Knowledge (TPACK) of Biology Educators: A Case Study on Pre-service and In-service Teachers in Preparation for Applying STEM Education -- 1 Introduction -- 2 Literature Review -- 2.1 STEM Education -- 2.2 Pre-service and In-service Biology Teacher in Mainland China -- 2.3 Theoretical Framework of STEM-TPACK -- 3 Methodology -- 3.1 Research Design -- 3.2 Data Collection -- 3.3 Data Analysis -- 3.4 Ethical Measures -- 4 Results and Findings -- 4.1 TPACK Differences in Implementing STEM Education Between the Pre-service and In-service Biology Teachers -- 4.2 Strengths and Weaknesses -- 4.3 In-service Teachers' Suggestions -- 5 Discussion -- 5.1 Interpretations of Research Findings -- 5.2 Comparison with the Results and Findings in Other Studies -- 5.3 Limitations and Suggestions -- 6 Conclusion -- References. ; Online Performance Prediction Combined Prior Knowledge and Deep Learning Models -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Data Description -- 3.2 Data Preparation -- 4 Proposed Model -- 5 Experiment and Result Analysis -- 5.1 Experimental Settings -- 5.2 Result Analysis -- 5.3 Discussion -- 6 Conclusion and Future Work -- Appendix -- References -- On the Impact of Augmented Reality for Rehabilitation Treatment: Early Results from a Study with Children -- 1 Introduction -- 2 Background -- 3 The Study -- 3.1 Materials and Methods -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- Oriented Classroom Instructional Behavior Recognition Benchmark -- 1 Introduction -- 2 Data Processing and Analysis -- 2.1 Data Annotation -- 2.2 Data Collection -- 2.3 Behavior Marking -- 3 Experiments and Analysis -- 3.1 Dataset Splits -- 3.2 Model and Setting -- 3.3 Evaluation and Analysis -- 3.4 Discussion -- 4 Conclusion and Future Research -- References -- An Approach to Teach Text Analysis to Digital Humanists, a Qualitative Evaluation -- 1 Introduction -- 2 An Approach to Quantitative Content Analysis of Literary Texts -- 3 Evaluation -- 3.1 Participants -- 3.2 Method -- 3.3 Instruments -- 3.4 Case Studies Analysis -- 3.5 Case Studies Results -- 4 Conclusions and Future Work -- References -- Artificial Intelligence and Learning of Students with Dyslexia: A Brief Review -- 1 Introduction -- 2 Dyslexia -- 3 Methods -- 3.1 The Eligibility Criteria -- 3.2 The Information Sources -- 3.3 The Search Strategy -- 3.4 The Selection Process -- 3.5 The Data Collection Process -- 3.6 Data Items -- 3.7 The Risk of Bias Assessment -- 3.8 Effect Methods -- 4 Results -- 4.1 Identification -- 4.2 Screening -- 4.3 Inclusion -- 5 Discussion -- 6 Conclusions and Future Plans -- References -- Workshop CLNN. ; Proficiency Effect on the Development of L2 Derivational Knowledge -- 1 Introduction -- 2 Literature Review -- 2.1 Derivational Awareness and Three Aspects of Derivational Knowledge -- 2.2 L2 Derivational Knowledge and L2 Proficiency -- 3 The Present Study -- 4 Methodology -- 4.1 Participants -- 4.2 Research Design -- 4.3 Data Collection Procedures -- 4.4 Data Analysis -- 5 Results -- 5.1 Relationships Between L2 Proficiency and Three Aspects of L2 Derivational Knowledge -- 5.2 Effects of L2 Proficiency, Aspect of Knowledge, and Well-Formedness on L2 Derivational Knowledge -- 6 Discussion -- 7 Conclusion -- 8 Funding Acknowledgement -- References -- Mental Simulation of Implied Orientation Information in Chinese Sentences -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Participants -- 3.2 Pre-test -- 3.3 Materials -- 3.4 Design and Procedure -- 3.5 Post-test of Mental Imagery -- 4 Results -- 4.1 Effects of Mental Simulation on Language Comprehension -- 4.2 Explorations of Mental Imagery -- 5 Discussion -- 6 Conclusion -- References -- Workshop DLCCE -- Reliability of Effort Indicators for Human Translation and Post-editing of Machine Translation: An Eye Tracking and Keylogging Study Involving Student Translators -- 1 Introduction -- 2 Selection of Effort Indicators -- 3 The Eye-Tracking and Key-Logging Experiment -- 3.1 Participants -- 3.2 Tools -- 3.3 Experiment Procedure -- 4 Data Analyses and Discussion -- 4.1 Processing of Data -- 4.2 Correlation Tests -- 4.3 Factor Analyses -- 5 Implications and Conclusion -- References -- Translation Practice and Competence Enhancement in the Age of AI: Applying ChatGPT to Translation Education -- 1 Introduction -- 2 Translation Education in the Age of AI -- 2.1 Translation Education and Technologies -- 2.2 ChatGPT and Its Potential in Translation Education. ; 3 Translation Competence in the Age of AI -- 4 ChatGPT-Facilitated Translation Education -- 4.1 ChatGPT-Facilitated Translation Practice -- 4.2 ChatGPT-Facilitated Translation Competence Enhancement -- 5 Discussion -- 6 Conclusion -- References -- Designing an Integrated Teaching Model of College English Course Assisted by Digital Platforms -- 1 Introduction -- 2 Integration of Internet and Information Technology in College English Course -- 2.1 Literature Review -- 2.2 Categorizing of Platforms Applied in HFUT -- 3 Designing and Application of an Integrated Teaching Model in HFUT -- 3.1 Participants -- 3.2 Procedures -- 4 Analysis of Questionnaire and One-to-One Interviews -- 5 Conclusion -- References -- Knowledge-Network-Based Translation Learning and Learners' Perception -- 1 Introduction -- 2 Literature Review -- 3 Applicability of ClinkNotes: Users' Perceptions -- 3.1 Participants -- 3.2 Questionnaire -- 3.3 Procedures -- 4 Analysis of the Questionnaire -- 5 Findings -- 6 Conclusion -- References -- The Influencing Factors of Learning Motivation in the Computer-Aided Speaking Course: An Empirical Approach -- 1 Introduction -- 2 Dornyei's Motivation Theory -- 3 The Experiment -- 3.1 Participants -- 3.2 Procedure -- 3.3 Data Analysis -- 4 Discussion -- 5 Conclusion -- References -- An Experiment on Translation Education Information System Driven-By Knowledge Network Management -- 1 Introduction -- 2 Translation Education Information System -- 3 Textwells and Knowledge Network Management -- 4 An Experiment on Textwells -- 4.1 Translation Course Design -- 4.2 Semi-construction Questionnaire -- 5 Statistical Analysis and Findings -- 5.1 Test Score and Translation Knowledge -- 5.2 Questionnaire Data -- 6 Conclusion -- References. ; Chinese Students' Perception and Demand on AI Assisted Interpretation Technology and Its Implication on Education of Interpreters.
• Titolo autorizzato: Emerging Technologies for Education
• ISBN: 9789819742431
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910874657103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science Series