Computational intelligence in digital pedagogy:
This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teachi...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
[2021]
|
| Schriftenreihe: | Intelligent systems reference library
Volume 197 |
| Schlagworte: | |
| Zusammenfassung: | This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnostic and feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applications on various sectors of education system |
| Beschreibung: | xxiv, 293 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811587436 |
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| 505 | 8 | |a Intro -- Foreword -- Preface -- Contents -- About the Editors -- 1 Authentic Pedagogy: A Project-Oriented Teaching-Learning Method Based on Critical Thinking -- 1.1 Introduction -- 1.2 Comparative Studies Between Pedagogic Principles -- 1.3 Procedure of Authentic Learning -- 1.4 Incorporation of Statistical Analysis -- 1.5 Results and Discussions -- 1.5.1 Performance -- 1.5.2 Quality Analysis -- 1.6 Conclusion -- References -- 2 A Set of Empirical Models to Evaluate E-learning Web Sites and Their Comparison -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed Model | |
| 505 | 8 | |a 2.3.1 Parameters Considered for Evaluation -- 2.3.2 Proposed Model Using PCA -- 2.3.3 Proposed Model Using AHP -- 2.4 Implementation -- 2.4.1 Results Using PCA -- 2.4.2 Results Using AHP -- 2.4.3 Comparison Between the Proposed Methodologies -- 2.5 Conclusion and Future Scope -- References -- 3 Multimedia-Based Learning Tools and Its Scope, Applications for Virtual Learning Environment -- 3.1 Introduction -- 3.2 Features and Challenges in Multimedia-Based Learning Tools -- 3.3 Results and Discussion -- 3.4 Conclusion -- References -- 4 Social Network Analysis in Education: A Study | |
| 505 | 8 | |a 4.1 Introduction -- 4.2 Basic Terms and Concepts Associated with Social Network Analysis in Education Field -- 4.3 Architecture -- 4.3.1 Data Mining in Educational Data and Application -- 4.4 Application of SNA in Education: Related Work -- 4.5 Challenges -- 4.6 Conclusion and Future Scope -- References -- 5 Personalization in Education Using Recommendation System: An Overview -- 5.1 Introduction -- 5.2 Basic Terms -- 5.2.1 E-learning -- 5.2.2 Integrated Classroom Teaching -- 5.2.3 Recommendation System -- 5.2.4 Collaborative Filtering -- 5.2.5 Content Based Recommendation System | |
| 505 | 8 | |a 5.2.6 Hybrid Recommendation System -- 5.3 Overview of Recommendation System in E-learning Sphere -- 5.4 Related Work -- 5.5 Challenges -- 5.6 Proposed Model -- 5.7 Conclusion and Future Direction -- References -- 6 Automation of Attainment Calculation in Outcome-Based Technical Education (OBTE) -- 6.1 Introduction -- 6.2 Previous Works -- 6.3 Proposed Scheme -- 6.3.1 Automation -- 6.3.2 Description of the Software -- 6.4 Case Study of CO, PO, and PSO Attainment Using Rubrics for a Set of Students -- 6.4.1 Generation of CO-PO, CO-PSO, Course-PO, and Course-PSO Mapping | |
| 505 | 8 | |a 6.4.2 Generation of Course-PO and Course-PSO Mapping at Program Level -- 6.4.3 Measuring Course Outcomes Attained Through University Examination (External Assessment) -- 6.4.4 Measuring Course Outcomes Attained Through Internal Examinations, Assignments, etc. (Internal Assessment) -- 6.4.5 Course Outcome Direct Attainment -- 6.4.6 Course Outcome Indirect Attainment -- 6.4.7 Total PO and PSO Attainment in Program Level -- 6.5 Comparative Analysis -- 6.6 Conclusion -- References -- 7 Quality Issues in Teaching-Learning Process -- 7.1 Introduction -- 7.2 Rationale | |
| 520 | 3 | |a This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnostic and feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applications on various sectors of education system | |
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| contents | Intro -- Foreword -- Preface -- Contents -- About the Editors -- 1 Authentic Pedagogy: A Project-Oriented Teaching-Learning Method Based on Critical Thinking -- 1.1 Introduction -- 1.2 Comparative Studies Between Pedagogic Principles -- 1.3 Procedure of Authentic Learning -- 1.4 Incorporation of Statistical Analysis -- 1.5 Results and Discussions -- 1.5.1 Performance -- 1.5.2 Quality Analysis -- 1.6 Conclusion -- References -- 2 A Set of Empirical Models to Evaluate E-learning Web Sites and Their Comparison -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed Model 2.3.1 Parameters Considered for Evaluation -- 2.3.2 Proposed Model Using PCA -- 2.3.3 Proposed Model Using AHP -- 2.4 Implementation -- 2.4.1 Results Using PCA -- 2.4.2 Results Using AHP -- 2.4.3 Comparison Between the Proposed Methodologies -- 2.5 Conclusion and Future Scope -- References -- 3 Multimedia-Based Learning Tools and Its Scope, Applications for Virtual Learning Environment -- 3.1 Introduction -- 3.2 Features and Challenges in Multimedia-Based Learning Tools -- 3.3 Results and Discussion -- 3.4 Conclusion -- References -- 4 Social Network Analysis in Education: A Study 4.1 Introduction -- 4.2 Basic Terms and Concepts Associated with Social Network Analysis in Education Field -- 4.3 Architecture -- 4.3.1 Data Mining in Educational Data and Application -- 4.4 Application of SNA in Education: Related Work -- 4.5 Challenges -- 4.6 Conclusion and Future Scope -- References -- 5 Personalization in Education Using Recommendation System: An Overview -- 5.1 Introduction -- 5.2 Basic Terms -- 5.2.1 E-learning -- 5.2.2 Integrated Classroom Teaching -- 5.2.3 Recommendation System -- 5.2.4 Collaborative Filtering -- 5.2.5 Content Based Recommendation System 5.2.6 Hybrid Recommendation System -- 5.3 Overview of Recommendation System in E-learning Sphere -- 5.4 Related Work -- 5.5 Challenges -- 5.6 Proposed Model -- 5.7 Conclusion and Future Direction -- References -- 6 Automation of Attainment Calculation in Outcome-Based Technical Education (OBTE) -- 6.1 Introduction -- 6.2 Previous Works -- 6.3 Proposed Scheme -- 6.3.1 Automation -- 6.3.2 Description of the Software -- 6.4 Case Study of CO, PO, and PSO Attainment Using Rubrics for a Set of Students -- 6.4.1 Generation of CO-PO, CO-PSO, Course-PO, and Course-PSO Mapping 6.4.2 Generation of Course-PO and Course-PSO Mapping at Program Level -- 6.4.3 Measuring Course Outcomes Attained Through University Examination (External Assessment) -- 6.4.4 Measuring Course Outcomes Attained Through Internal Examinations, Assignments, etc. (Internal Assessment) -- 6.4.5 Course Outcome Direct Attainment -- 6.4.6 Course Outcome Indirect Attainment -- 6.4.7 Total PO and PSO Attainment in Program Level -- 6.5 Comparative Analysis -- 6.6 Conclusion -- References -- 7 Quality Issues in Teaching-Learning Process -- 7.1 Introduction -- 7.2 Rationale |
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| index_date | 2024-07-03T16:42:07Z |
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| spelling | Computational intelligence in digital pedagogy Arpan Deyasi, Soumen Mukherjee, Anirban Mukherjee, Arup Kumar Bhattacharjee, Arindam Mondal, (editors) Singapore Springer [2021] © 2021 xxiv, 293 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Intelligent systems reference library Volume 197 Intro -- Foreword -- Preface -- Contents -- About the Editors -- 1 Authentic Pedagogy: A Project-Oriented Teaching-Learning Method Based on Critical Thinking -- 1.1 Introduction -- 1.2 Comparative Studies Between Pedagogic Principles -- 1.3 Procedure of Authentic Learning -- 1.4 Incorporation of Statistical Analysis -- 1.5 Results and Discussions -- 1.5.1 Performance -- 1.5.2 Quality Analysis -- 1.6 Conclusion -- References -- 2 A Set of Empirical Models to Evaluate E-learning Web Sites and Their Comparison -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed Model 2.3.1 Parameters Considered for Evaluation -- 2.3.2 Proposed Model Using PCA -- 2.3.3 Proposed Model Using AHP -- 2.4 Implementation -- 2.4.1 Results Using PCA -- 2.4.2 Results Using AHP -- 2.4.3 Comparison Between the Proposed Methodologies -- 2.5 Conclusion and Future Scope -- References -- 3 Multimedia-Based Learning Tools and Its Scope, Applications for Virtual Learning Environment -- 3.1 Introduction -- 3.2 Features and Challenges in Multimedia-Based Learning Tools -- 3.3 Results and Discussion -- 3.4 Conclusion -- References -- 4 Social Network Analysis in Education: A Study 4.1 Introduction -- 4.2 Basic Terms and Concepts Associated with Social Network Analysis in Education Field -- 4.3 Architecture -- 4.3.1 Data Mining in Educational Data and Application -- 4.4 Application of SNA in Education: Related Work -- 4.5 Challenges -- 4.6 Conclusion and Future Scope -- References -- 5 Personalization in Education Using Recommendation System: An Overview -- 5.1 Introduction -- 5.2 Basic Terms -- 5.2.1 E-learning -- 5.2.2 Integrated Classroom Teaching -- 5.2.3 Recommendation System -- 5.2.4 Collaborative Filtering -- 5.2.5 Content Based Recommendation System 5.2.6 Hybrid Recommendation System -- 5.3 Overview of Recommendation System in E-learning Sphere -- 5.4 Related Work -- 5.5 Challenges -- 5.6 Proposed Model -- 5.7 Conclusion and Future Direction -- References -- 6 Automation of Attainment Calculation in Outcome-Based Technical Education (OBTE) -- 6.1 Introduction -- 6.2 Previous Works -- 6.3 Proposed Scheme -- 6.3.1 Automation -- 6.3.2 Description of the Software -- 6.4 Case Study of CO, PO, and PSO Attainment Using Rubrics for a Set of Students -- 6.4.1 Generation of CO-PO, CO-PSO, Course-PO, and Course-PSO Mapping 6.4.2 Generation of Course-PO and Course-PSO Mapping at Program Level -- 6.4.3 Measuring Course Outcomes Attained Through University Examination (External Assessment) -- 6.4.4 Measuring Course Outcomes Attained Through Internal Examinations, Assignments, etc. (Internal Assessment) -- 6.4.5 Course Outcome Direct Attainment -- 6.4.6 Course Outcome Indirect Attainment -- 6.4.7 Total PO and PSO Attainment in Program Level -- 6.5 Comparative Analysis -- 6.6 Conclusion -- References -- 7 Quality Issues in Teaching-Learning Process -- 7.1 Introduction -- 7.2 Rationale This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnostic and feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applications on various sectors of education system Pädagogik (DE-588)4044302-4 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Unterrichtstechnologie (DE-588)4078641-9 gnd rswk-swf Neue Medien (DE-588)4196910-8 gnd rswk-swf Artificial intelligence / Educational applications Computational intelligence (DE-588)4143413-4 Aufsatzsammlung gnd-content Künstliche Intelligenz (DE-588)4033447-8 s Unterrichtstechnologie (DE-588)4078641-9 s Neue Medien (DE-588)4196910-8 s Pädagogik (DE-588)4044302-4 s DE-604 Deyasi, Arpan 1978- Sonstige (DE-588)1230414843 oth Mukherjee, Soumen (DE-588)1115818554 edt Mukherjee, Anirban (DE-588)1138850144 edt Erscheint auch als Online-Ausgabe 9789811587443 Intelligent systems reference library Volume 197 (DE-604)BV035704685 197 |
| spellingShingle | Computational intelligence in digital pedagogy Intelligent systems reference library Intro -- Foreword -- Preface -- Contents -- About the Editors -- 1 Authentic Pedagogy: A Project-Oriented Teaching-Learning Method Based on Critical Thinking -- 1.1 Introduction -- 1.2 Comparative Studies Between Pedagogic Principles -- 1.3 Procedure of Authentic Learning -- 1.4 Incorporation of Statistical Analysis -- 1.5 Results and Discussions -- 1.5.1 Performance -- 1.5.2 Quality Analysis -- 1.6 Conclusion -- References -- 2 A Set of Empirical Models to Evaluate E-learning Web Sites and Their Comparison -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed Model 2.3.1 Parameters Considered for Evaluation -- 2.3.2 Proposed Model Using PCA -- 2.3.3 Proposed Model Using AHP -- 2.4 Implementation -- 2.4.1 Results Using PCA -- 2.4.2 Results Using AHP -- 2.4.3 Comparison Between the Proposed Methodologies -- 2.5 Conclusion and Future Scope -- References -- 3 Multimedia-Based Learning Tools and Its Scope, Applications for Virtual Learning Environment -- 3.1 Introduction -- 3.2 Features and Challenges in Multimedia-Based Learning Tools -- 3.3 Results and Discussion -- 3.4 Conclusion -- References -- 4 Social Network Analysis in Education: A Study 4.1 Introduction -- 4.2 Basic Terms and Concepts Associated with Social Network Analysis in Education Field -- 4.3 Architecture -- 4.3.1 Data Mining in Educational Data and Application -- 4.4 Application of SNA in Education: Related Work -- 4.5 Challenges -- 4.6 Conclusion and Future Scope -- References -- 5 Personalization in Education Using Recommendation System: An Overview -- 5.1 Introduction -- 5.2 Basic Terms -- 5.2.1 E-learning -- 5.2.2 Integrated Classroom Teaching -- 5.2.3 Recommendation System -- 5.2.4 Collaborative Filtering -- 5.2.5 Content Based Recommendation System 5.2.6 Hybrid Recommendation System -- 5.3 Overview of Recommendation System in E-learning Sphere -- 5.4 Related Work -- 5.5 Challenges -- 5.6 Proposed Model -- 5.7 Conclusion and Future Direction -- References -- 6 Automation of Attainment Calculation in Outcome-Based Technical Education (OBTE) -- 6.1 Introduction -- 6.2 Previous Works -- 6.3 Proposed Scheme -- 6.3.1 Automation -- 6.3.2 Description of the Software -- 6.4 Case Study of CO, PO, and PSO Attainment Using Rubrics for a Set of Students -- 6.4.1 Generation of CO-PO, CO-PSO, Course-PO, and Course-PSO Mapping 6.4.2 Generation of Course-PO and Course-PSO Mapping at Program Level -- 6.4.3 Measuring Course Outcomes Attained Through University Examination (External Assessment) -- 6.4.4 Measuring Course Outcomes Attained Through Internal Examinations, Assignments, etc. (Internal Assessment) -- 6.4.5 Course Outcome Direct Attainment -- 6.4.6 Course Outcome Indirect Attainment -- 6.4.7 Total PO and PSO Attainment in Program Level -- 6.5 Comparative Analysis -- 6.6 Conclusion -- References -- 7 Quality Issues in Teaching-Learning Process -- 7.1 Introduction -- 7.2 Rationale Pädagogik (DE-588)4044302-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Unterrichtstechnologie (DE-588)4078641-9 gnd Neue Medien (DE-588)4196910-8 gnd |
| subject_GND | (DE-588)4044302-4 (DE-588)4033447-8 (DE-588)4078641-9 (DE-588)4196910-8 (DE-588)4143413-4 |
| title | Computational intelligence in digital pedagogy |
| title_auth | Computational intelligence in digital pedagogy |
| title_exact_search | Computational intelligence in digital pedagogy |
| title_exact_search_txtP | Computational intelligence in digital pedagogy |
| title_full | Computational intelligence in digital pedagogy Arpan Deyasi, Soumen Mukherjee, Anirban Mukherjee, Arup Kumar Bhattacharjee, Arindam Mondal, (editors) |
| title_fullStr | Computational intelligence in digital pedagogy Arpan Deyasi, Soumen Mukherjee, Anirban Mukherjee, Arup Kumar Bhattacharjee, Arindam Mondal, (editors) |
| title_full_unstemmed | Computational intelligence in digital pedagogy Arpan Deyasi, Soumen Mukherjee, Anirban Mukherjee, Arup Kumar Bhattacharjee, Arindam Mondal, (editors) |
| title_short | Computational intelligence in digital pedagogy |
| title_sort | computational intelligence in digital pedagogy |
| topic | Pädagogik (DE-588)4044302-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Unterrichtstechnologie (DE-588)4078641-9 gnd Neue Medien (DE-588)4196910-8 gnd |
| topic_facet | Pädagogik Künstliche Intelligenz Unterrichtstechnologie Neue Medien Aufsatzsammlung |
| volume_link | (DE-604)BV035704685 |
| work_keys_str_mv | AT deyasiarpan computationalintelligenceindigitalpedagogy AT mukherjeesoumen computationalintelligenceindigitalpedagogy AT mukherjeeanirban computationalintelligenceindigitalpedagogy |