標(biāo)題: Titlebook: Cognitive Tutor; Custom-Tailored Peda Ninni Singh,Vinit Kumar Gunjan,Jacek M. Zurada Book 2022 The Editor(s) (if applicable) and The Author [打印本頁] 作者: 無力向前 時(shí)間: 2025-3-21 17:26
書目名稱Cognitive Tutor影響因子(影響力)
書目名稱Cognitive Tutor影響因子(影響力)學(xué)科排名
書目名稱Cognitive Tutor網(wǎng)絡(luò)公開度
書目名稱Cognitive Tutor網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cognitive Tutor被引頻次
書目名稱Cognitive Tutor被引頻次學(xué)科排名
書目名稱Cognitive Tutor年度引用
書目名稱Cognitive Tutor年度引用學(xué)科排名
書目名稱Cognitive Tutor讀者反饋
書目名稱Cognitive Tutor讀者反饋學(xué)科排名
作者: 哎呦 時(shí)間: 2025-3-21 20:32 作者: 帽子 時(shí)間: 2025-3-22 01:43 作者: 概觀 時(shí)間: 2025-3-22 07:50 作者: 確定方向 時(shí)間: 2025-3-22 09:32 作者: 拱墻 時(shí)間: 2025-3-22 13:03 作者: 拱墻 時(shí)間: 2025-3-22 19:34 作者: 體貼 時(shí)間: 2025-3-22 23:03 作者: 公社 時(shí)間: 2025-3-23 02:03 作者: insipid 時(shí)間: 2025-3-23 05:41 作者: ostrish 時(shí)間: 2025-3-23 12:04
978-981-19-5199-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Nefarious 時(shí)間: 2025-3-23 15:47
Introduction,d’s origins, which can only gain through a historical perspective. The dynamics of the field and the challenges it faces are described. The chapter concludes with an overview of the book’s content and structure.作者: 人造 時(shí)間: 2025-3-23 21:51 作者: extract 時(shí)間: 2025-3-23 22:34
Xiaochuan Pan,Tao Zhang,Xuying Xu,Rubin Wangd’s origins, which can only gain through a historical perspective. The dynamics of the field and the challenges it faces are described. The chapter concludes with an overview of the book’s content and structure.作者: Nucleate 時(shí)間: 2025-3-24 03:26
https://doi.org/10.1007/978-1-4020-8387-7This chapter describes the development of an adaptive domain model for the tacit knowledge domain. The prime consideration has been inclined toward the development of a knowledge base that comprises twelve pedagogy styles that have been designed as per learner preferences (Learning Style and Learning Profile).作者: Engaging 時(shí)間: 2025-3-24 08:47 作者: 典型 時(shí)間: 2025-3-24 12:34
https://doi.org/10.1007/978-3-031-21696-1This chapter discusses the results obtained under the evaluation process of SeisTutor chapter. The statistical results and findings have been discussed.作者: Range-Of-Motion 時(shí)間: 2025-3-24 17:47 作者: patriot 時(shí)間: 2025-3-24 21:17 作者: 歡呼 時(shí)間: 2025-3-24 23:33 作者: Introvert 時(shí)間: 2025-3-25 05:51 作者: Paleontology 時(shí)間: 2025-3-25 08:54 作者: 大漩渦 時(shí)間: 2025-3-25 12:10 作者: AVANT 時(shí)間: 2025-3-25 17:00
Pedagogy Modeling for Building SeisTutor Intelligent Tutoring System, discussion of the adaptive features: custom-tailored curriculum sequencing module, tutoring strategy recommendation module, and learner performance analyzer module (emotion recognition module and the degree of understandability). The emotion recognition module is used to track learner excitement, w作者: MOAN 時(shí)間: 2025-3-25 23:13 作者: cylinder 時(shí)間: 2025-3-26 00:58
Pedagogy Modeling,ons. In contrast, the degree of understandability module is used to determine the learner’s degree of understanding after completing the learning session. The overall performance and activity of the learner are visualized in the form of a progress report.作者: enfeeble 時(shí)間: 2025-3-26 05:10
Pedagogy Modeling for Building SeisTutor Intelligent Tutoring System,hile the degree of understandability module is used to determine the learner’s degree of understanding after completing the learning session. The overall performance and activity of the learner are visualized in the form of a progress report.作者: FLASK 時(shí)間: 2025-3-26 10:55 作者: Graduated 時(shí)間: 2025-3-26 13:37
Execution of Developed Intelligent Tutoring System,odel includes the Curriculum Identification Module, the Tutoring Strategy Recommendation Module, and the Learner Performance Analyzer Module sub-components. The interconnection, functioning, and data flow are described in the chapter using the DFDs.作者: Needlework 時(shí)間: 2025-3-26 18:55 作者: stress-test 時(shí)間: 2025-3-26 22:15
Boris B. Velichkovsky,Sofia Popovahile the degree of understandability module is used to determine the learner’s degree of understanding after completing the learning session. The overall performance and activity of the learner are visualized in the form of a progress report.作者: gene-therapy 時(shí)間: 2025-3-27 05:08
Book 2022by incorporating artificial?intelligence. Artificial?intelligence is an advanced field of research. It is particularly used in the field of education to increase the effectiveness of teaching and learning techniques. With the advancement of internet?technology, there?is a rapid growth?in?web based?d作者: PALL 時(shí)間: 2025-3-27 08:13 作者: 小母馬 時(shí)間: 2025-3-27 10:56
https://doi.org/10.1007/978-981-16-0317-4 knowledge engineering, a major epistemological dilemma has arisen, which is discussed in detail in the first section of this work. Following that, a range of knowledge representation languages considers factors such as expressiveness, inferential power, cognition plausibility, and pedagogical emphasis.作者: Arresting 時(shí)間: 2025-3-27 15:27
Federico Gallo,Andriy Myachykov,Yury Shtyrovodel includes the Curriculum Identification Module, the Tutoring Strategy Recommendation Module, and the Learner Performance Analyzer Module sub-components. The interconnection, functioning, and data flow are described in the chapter using the DFDs.作者: 嘲弄 時(shí)間: 2025-3-27 20:31
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