Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

Machine learning

Experience and Educationis the best concise statement on education ever published by John Dewey, the man acknowledged to be the pre-eminent educational theorist of the twentieth century. Written more than two decades after Democracy and Education(Dewey's most comprehensive statement of his position in educational philosophy), this book demonstrates how Dewey reformulated his ideas as a result of his intervening experience with the progressive schools and in the light of the criticisms his theories had received. Analysing both "traditional" and "progressive" education, Dr. Dewey here insists that neither the old nor the new education is adequate and that each is miseducative because neither of them applies the principles of a carefully developed philosophy of experience. Many pages of this volume illustrate Dr. Dewey's ideas for a philosophy of experience and its relation to education. He particularly urges that all teachers and educators looking for a new movement in education should think in terms of the deeped and larger issues of education rather than in terms of some divisive "ism" about education, even such an "ism" as "progressivism." His philosophy, here expressed in its most essential, most readable form, predicates an American educational system that respects all sources of experience, on that offers a true learning situation that is both historical and social, both orderly and dynamic.

经验与教育 = Experience and education

Preparing the books to read every day is enjoyable for many people. However, there are still many people who also don't like reading. This is a problem. But, when you can support others to start reading, it will be better. One of the books that can be recommended for new readers is experience and education. This book is not kind of difficult book to read. It can be read and understand by the new readers.

Experience and Education.

Qualitative content analysis is commonly used for analyzing qualitative data. However, few articles have examined the trustworthiness of its use in nursing science studies. The trustworthiness of q...

https://journals.sagepub.com/doi/pdf/10.1177/2158244014522633

Qualitative Content Analysis: A Focus on Trustworthiness

The purpose of this study is to provide conceptual order and a tool for the use of computer-mediated communication (CMC) and computer conferencing in supporting an educational experience. Central to the study introduced here is a model of community inquiry that constitutes three elements essential to an educational transaction—cognitive presence, social presence, and teaching presence. Indicators (key words/phrases) for each of the three elements emerged from the analysis of computer-conferencing transcripts. The indicators described represent a template or tool for researchers to analyze written transcripts, as well as a guide to educators for the optimal use of computer conferencing as a medium to facilitate an educational transaction. This research would suggest that computer conferencing has considerable potential to create a community of inquiry for educational purposes.

/pdf/critical-inquiry-in-a-text-based-environment-computer-3f0amd5n1t.pdf

Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education

This article describes a practical approach to judging the nature and quality of critical discourse in a computer conference. A model of a critical community of inquiry frames the research. A core concept in defining a community of inquiry is cognitive presence. In turn, the practical inquiry model operationalizes cognitive presence for the purpose of developing a tool to assess critical discourse and reflection. The authors present encouraging empirical findings related to an attempt to create an efficient and reliable instrument to assess the nature and quality of critical discourse and thinking in a text‐based educational context. Finally, the authors suggest that cognitive presence (i.e., critical, practical inquiry) can be created and supported in a computer‐conference environment with appropriate teaching and social presence.

https://cde.athabascau.ca/coi_site/documents/Garrison_Anderson_Archer_CogPres_Final.pdf

Critical thinking, cognitive presence, and computer conferencing in distance education

From the Publisher:
There is a technological revolution taking place in higher education The growth of 'e-learning' is being described as explosive, unprecedented and disruptive E-Learning in the 21st Century provides a framework for understanding the application and characteristics of e-learning in higher education The authors discuss their extensive research from technological, pedagogical and organizational perspectives in order to create practical models and release the full potential of e-learning This in-depth understanding will give direction and guidance to educators who wish to facilitate critical discourse and higher-order learning through the use of electronic technologies in a networked learning context

E-Learning in the 21st Century: A Framework for Research and Practice

Instructional media such as computer conferencing engender high levels of student-student and student-teacher interaction; therefore, they can support models of teaching and learning that are highly interactive and consonant with the communicative ideals of university education. This potential and the ubiquity of computer conferencing in higher education prompted three of the authors of the this article to develop a community of inquiry model that synthesizes pedagogical principles with the inherent instructional and access benefits of computer conferencing (Garrison, Anderson, & Archer, 2000). This article explicates one element of the model, social presence. Social presence is defined as the ability of learners to project themselves socially and affectively into a community of inquiry. A template for assessing social presence in computer conferencing is presented through content analysis of conferencing transcripts. To facilitate explication of the scheme and subsequent replication of this study, selections of coded transcripts are included, along with interrater reliability figures. The article concludes with a discussion of the implications and benefits of assessing social presence for instructors, conference moderators, and researchers.

Les medias educatifs, tel le forum electronique, sont susceptibles d'engendrer un niveau eleve d'interaction entre les etudiants et entre le tuteur et chaque etudiant; par consequent, ils peuvent soutenir des modeles d'enseignement et d'apprentissage qui mettent en valeur l'interaction et qui sont compatibles avec les ideaux communicationnels d'une education universitaire. Ce potentiel, ainsi que l'ubiquite du forum asynchrone dans l'education superieure, ont mene trois des auteurs de cet article a developper un modele de communaute de recherche qui resume les principes pedagogiques applicables au forum electronique en incluant les benefices que l'enseignement peut en retirer et les avantages relatifs a l'accessibilite (Garrison, Anderson, & Archer, 2000). Cet article explique un element du modele : la presence sociale. On y definit la presence sociale comme la capacite des apprenants de se projeter sur le plan social et emotionnel dans une communaute de recherche. On y decrit un gabarit utilise pour evaluer la presence sociale lors d'une analyse de contenu de transcriptions de forums electroniques. Afin d'aider la comprehension des modalites d'evaluation et de faciliter la reproduction subsequente de cette etude, un echantillonnage de transcriptions codees ainsi que les baremes de fiabilite inter-evaluateurs sont fournis. L'article se termine par une discussion des consequences et des avantages de l'evaluation de la presence sociale du point de vue des formateurs, des animateurs de conference et des chercheurs.

/pdf/assessing-social-presence-in-asynchronous-text-based-2hcjv55ff1.pdf

Assessing Social Presence In Asynchronous Text-based Computer Conferencing

This study attempts to find appropriate interaction analysis/content analysis techniques that assist in examining the negotiation of meaning and co-construction of knowledge in collaborative learni...

/pdf/analysis-of-a-global-online-debate-and-the-development-of-an-zom040i7va.pdf

Analysis of a Global Online Debate and the Development of an Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing.

Terry Anderson

Papers

Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education

Critical thinking, cognitive presence, and computer conferencing in distance education

E-Learning in the 21st Century: A Framework for Research and Practice

Assessing Social Presence In Asynchronous Text-based Computer Conferencing

Analysis of a Global Online Debate and the Development of an Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing.