Titlebook: Artificial Intelligence in Education Technologies: New Development and Innovative Practices; Proceedings of 2023 Tim Schlippe,Eric C. K. C

落后的煤渣

書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices影響因子(影響力)




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices被引頻次




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices被引頻次學(xué)科排名




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices年度引用




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices年度引用學(xué)科排名




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices讀者反饋




書目名稱Artificial Intelligence in Education Technologies: New Development and Innovative Practices讀者反饋學(xué)科排名

oracle

沖突

2367-4512 ic perspectives concerning AI in education.Brings together s.This book is a collection of selected research papers presented at the 2023 4th International Conference on Artificial Intelligence in Education Technology (AIET 2023), held in Berlin, Germany, on June 30 - July 2, 2023. AIET establishes a

強(qiáng)制性

CURL

Dorsal-Kyphosis

Alan L. Carsrud,Malin Br?nnbackrs prefer to learn some technical methods with low theoretical threshold. This research can not only help to design the project content of intelligent management course, but also is an important practice of PBL teaching method in application.

Obliterate

Anticlimax

Results Analysis of the Opinion Survey for Mechanical Engineering Students of a Course Taught in Fac replicated in other classes. With the information from the surveys and with the Machine Learning resources, a prediction model is made: given the didactic strategies used by the professor, predict the results of the course opinion survey; with the above, it will be possible to improve the teaching of the classes.

案發(fā)地點(diǎn)

Using Relational Dialectics to Better Understand the Impact of Computer-Mediated Communication from alitative analysis were accountability vs. unreliability, low anxiety vs. low motivation, and conventional vs. CMC-delivered practical (lab) classes. Findings support the need for a more specific online learning pedagogical discussion on low-level motivation, group project difficulties, and a more interactive lab-oriented class delivery.

Prologue

Design of Problem Based Learning in Intelligent Management Educationrs prefer to learn some technical methods with low theoretical threshold. This research can not only help to design the project content of intelligent management course, but also is an important practice of PBL teaching method in application.