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Emerging Technologies for Education: 8th International Symposium, SETE 2023, Sydney, Australia, November 2628, 2023, Revised Selected Papers, Part I 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 338 pages, kõrgus x laius: 235x155 mm, 69 Illustrations, color; 36 Illustrations, black and white; XVII, 338 p. 105 illus., 69 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14606
  • Ilmumisaeg: 17-Jul-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819742420
  • ISBN-13: 9789819742424
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Emerging Technologies for Education: 8th International Symposium, SETE 2023, Sydney, Australia, November 2628, 2023, Revised Selected Papers, Part I 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 338 pages, kõrgus x laius: 235x155 mm, 69 Illustrations, color; 36 Illustrations, black and white; XVII, 338 p. 105 illus., 69 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14606
  • Ilmumisaeg: 17-Jul-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819742420
  • ISBN-13: 9789819742424
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819742424.html
Märksõnad:
This two-volume set LNCS 14606-14607 constitutes the revised selected papers of several workshops which were held in conjunction with the 8th International Symposium on Emerging Technologies for Education, SETE 2023, held in Sydney, Australia, during November 2628, 2022\3.





The 46 revised full papers presented in this book were carefully reviewed and selected from 23 submissions.





SETE 2023 presented the following six workshops:





First International Workshop on Cognitive Neuroscience of Language Learning (CLNN).





Second International Workshop on Digitalization In Language And Cross-Cultural Education (DLCCE).





Sixth International Workshop on Educational Technology for Language Learning (ETLL).





Second Workshop on Hardware And Software Systems as Enablers for Lifelong Learning (HASSELL).





Ninth International Workshop on Peer Review, Peer Assessment, and Self Assessment in Education (PRASAE).
.- SETE MAIN TRACK.



.- Perceptions of High School Mathematics students in the use of technologies
for educational purposes.



.- Social innovation on educational AI developments. A case study on social
participation on designing AI generative models for diversity.



.- Empowering collaboration through immersive technologies fostering
intercultural competencies.



.- Investigating the Adoption of Machine Translation in Foreign Language
Learning: the Instructors Perspective.



.- On the dynamic generation of items within an assessment test using genetic
algorithms.



.- Engagement at a Distance Online Instructor Behaviors to Encourage Student
Success.



.- EduPort: an Intelligent Learning System Based on Deep Learning  A
Preliminary Evaluation.



.- 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.



.- Online Performance Prediction Combined Prior Knowledge and Deep Learning
Models.



.- On the impact of augmented reality for rehabilitation treatment: early 
results from a study with children.



.- Oriented Classroom Instructional Behavior Recognition Dataset Construction
and Benchmark.



.- An approach to teach Text Analysis to Digital Humanists, a qualitative
evaluation.



.- Artificial Intelligence and Learning of Students with Dyslexia: a Brief
Review.



.- Workshop CLNN.



.- Proficiency effect on the development of L2 derivational knowledge.



.- Mental Simulation of Implied Orientation Information in Chinese
Sentences.



.- Workshop DLCCE.



.- Reliability of Effort Indicators for Human Translation and Post editing of
Machine Translation: An Eye Tracking and Keylogging   Study Involving Student
Translators.



.- Translation Practice and Competence Enhancement in the Age of AI: Applying
ChatGPT to Translation Education.



.- Designing An Integrated Teaching Model of College English Course Assisted
by Digital Platforms.



.- Knowledge-Network Based Translation Learning and Learners Perception.



.- The Influencing Factors of Learning Motivation in the Computer-Aided
Speaking Course: An Empirical Approach.



.- An Experiment on Translation Education Information System Driven by
Knowledge Network Management.



.- Chinese Students Perception and Demand on AI Assisted Interpretation
Technology and its Implication on Education of    Interpreters.



.- Closed-Loop Automation with Python in Translation Technology Teaching the
Acquisition of a Meta-Technology Competence Through Project Based Learning.



.- A Digitalized Approach to Discourse Production and Reception from the
Perspective of Proximization Theory.



.- Research on the Teaching Model Design and application of Corpus based
Translation Curriculum Group for Micro-majors.