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The volume collects the papers presented at the Conference “Stat.Edu’21 -New Perspectives in Statistics Education”. The Conference was held at the Department of Political Sciences of the University of Naples Federico II (25-26 March 2021). The conference was the final event of the “ALEAS - Adaptive LEArning in Statistics”, an ERASMUS+ project (https://aleas-project.eu) developed in the period 2018-2021 to design and implement an Adaptive LEArning system able to offer personalised learning paths to students, with the purpose to provide them remedial advice to deal with the “statistics anxiety”.Stat.Edu’21 aimed at stimulating discussions, solicitations and contributions around the central theme of ALEAS, the development of adaptive learning systems in the field of Higher Education as a complementary tool for traditional courses and promote a community of practice in this field.The volume collects 12 papers reporting reflections and quantitative studies covering mainly three topics: the assessment of the effects of anxiety or more generally of a different attitude in the study of Statistics, tools and methods for the assessment of training paths and technology-based learning experiences Il volume raccoglie i contributi presentati alla conferenza “Stat.Edu’21 -New Perspectives in Statistics Education”. La Conferenza è stata ospitata dal Dipartimento di Scienze Politiche dell’Università degli Studi di Napoli Federico II (25-26 marzo 2021). La conferenza è stata organizzata come evento finale del progetto ERASMUS+ “ALEAS - Adaptive LEArning in Statistics” (https://aleas-project.eu) che si è svolto dal 2018 al 2021. Il progetto ha avuto l’obiettivo di sviluppare e implementare un sistema di apprendimento adattivo che offra percorsi di apprendimento personalizzati agli studenti, con lo scopo ultimo di aiutare gli studenti a fronteggiare l’ansia statistica.Stat.Edu’21 ha stimolato riflessioni, discussioni e contributi sul tema di ALEAS e sullo sviluppo di sistemi di apprendimento adattivo in ambito universitario come strumenti complementari ai corsi tradizionali e contribuito lo scambio di buone pratiche.Il volume comprende 12 contributi che propongono riflessioni e studi quantitativi in particolare su 3 temi: la valutazione degli effetti dell’ansia o più generalmente lo studio di diverse attitudini nello studio della statistica, strumenti e metodi per la valutazione dei percorsi di insegnamento e le esperienze di apprendimento basate sulla tecnologia.

Society & social sciences --- technology-based platforms, adaptive learning systems, statistical methods, statistics anxiety, higher education --- technology-based platforms, adaptive learning systems, statistical methods, statistics anxiety, higher education

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The volume collects the papers presented at the Conference “Stat.Edu’21 -New Perspectives in Statistics Education”. The Conference was held at the Department of Political Sciences of the University of Naples Federico II (25-26 March 2021). The conference was the final event of the “ALEAS - Adaptive LEArning in Statistics”, an ERASMUS+ project (https://aleas-project.eu) developed in the period 2018-2021 to design and implement an Adaptive LEArning system able to offer personalised learning paths to students, with the purpose to provide them remedial advice to deal with the “statistics anxiety”.Stat.Edu’21 aimed at stimulating discussions, solicitations and contributions around the central theme of ALEAS, the development of adaptive learning systems in the field of Higher Education as a complementary tool for traditional courses and promote a community of practice in this field.The volume collects 12 papers reporting reflections and quantitative studies covering mainly three topics: the assessment of the effects of anxiety or more generally of a different attitude in the study of Statistics, tools and methods for the assessment of training paths and technology-based learning experiences Il volume raccoglie i contributi presentati alla conferenza “Stat.Edu’21 -New Perspectives in Statistics Education”. La Conferenza è stata ospitata dal Dipartimento di Scienze Politiche dell’Università degli Studi di Napoli Federico II (25-26 marzo 2021). La conferenza è stata organizzata come evento finale del progetto ERASMUS+ “ALEAS - Adaptive LEArning in Statistics” (https://aleas-project.eu) che si è svolto dal 2018 al 2021. Il progetto ha avuto l’obiettivo di sviluppare e implementare un sistema di apprendimento adattivo che offra percorsi di apprendimento personalizzati agli studenti, con lo scopo ultimo di aiutare gli studenti a fronteggiare l’ansia statistica.Stat.Edu’21 ha stimolato riflessioni, discussioni e contributi sul tema di ALEAS e sullo sviluppo di sistemi di apprendimento adattivo in ambito universitario come strumenti complementari ai corsi tradizionali e contribuito lo scambio di buone pratiche.Il volume comprende 12 contributi che propongono riflessioni e studi quantitativi in particolare su 3 temi: la valutazione degli effetti dell’ansia o più generalmente lo studio di diverse attitudini nello studio della statistica, strumenti e metodi per la valutazione dei percorsi di insegnamento e le esperienze di apprendimento basate sulla tecnologia.

technology-based platforms, adaptive learning systems, statistical methods, statistics anxiety, higher education

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Small-scale entrepreneurs are ubiquitous in emerging market economies, yet very few graduate to become larger businesses. This paper asks whether such entrepreneurs aspire to grow and, if so, on which dimensions of the business? What factors influence these aspirations, how realistic are they, and do entrepreneurs dynamically update them based on realized outcomes? A unique panel data set of small-scale retailers in Indonesia is used to show that the average business has strong short- and long-term aspirations for growth in shop size, number of employees, number of customers, and sales. Yet, more than 50 percent of the businesses report no aspirations for growth in the next 12 months, and 16 percent fail to imagine an ideal business over the long term. Entrepreneurs with low profits, business skills, and agency beliefs, as well as those who are older, female, and less educated have significantly lower aspirations. Analysis from a year later shows that most entrepreneurs fail to set realistic aspirations at baseline, but significantly adjust their aspirations to realistic levels with realized outcomes. The analysis also shows that baseline aspirations are a strong predictor of measures of business expansion and innovation, as well as performance outcomes a year later.

Adaptive Learning --- Aspirations --- Education --- Educational Sciences --- Firm Performance --- Gender --- Gender & Development --- Inequality --- Innovation --- Law and Development --- Marketing --- Micro-Enterprises --- Poverty Reduction --- Private Sector Development --- Private Sector Development Law --- Private Sector Economics --- Small Business Growth

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The present book contains all of the articles that were accepted and published in the Special Issue of MDPI’s journal Mathematics titled "Computational Intelligence and Human–Computer Interaction: Modern Methods and Applications". This Special Issue covered a wide range of topics connected to the theory and application of different computational intelligence techniques to the domain of human–computer interaction, such as automatic speech recognition, speech processing and analysis, virtual reality, emotion-aware applications, digital storytelling, natural language processing, smart cars and devices, and online learning. We hope that this book will be interesting and useful for those working in various areas of artificial intelligence, human–computer interaction, and software engineering as well as for those who are interested in how these domains are connected in real-life situations.

Research & information: general --- Mathematics & science --- virtual dialogue assistant --- natural language processing --- machine learning --- online distance learning --- ubiquitous computing --- smart cars --- natural interfaces --- multimodal interaction --- smart devices --- gesture input --- voice input --- digital storytelling --- cultural heritage --- usability evaluation --- multi-platform evaluation --- fingerspelling recognition --- depth sensor --- finger attention --- receptive field --- inter-finger relation --- speaker diarization --- spontaneous speech processing --- voice activity detection --- overlapping speech detection --- speaker extractor models --- speaker number estimation --- model fusion --- quality estimation --- distant speech processing --- artificial neural networks --- agile global software engineering --- architectural knowledge management --- knowledge condensing --- edutainment applications --- emotions aware applications --- adaptive learning --- software architecture --- services --- formal concept analysis --- conceptual knowledge processing --- virtual reality --- human–computer interaction --- automatic speech recognition --- acoustic modeling --- highly inflected word forms --- acoustic background --- virtual dialogue assistant --- natural language processing --- machine learning --- online distance learning --- ubiquitous computing --- smart cars --- natural interfaces --- multimodal interaction --- smart devices --- gesture input --- voice input --- digital storytelling --- cultural heritage --- usability evaluation --- multi-platform evaluation --- fingerspelling recognition --- depth sensor --- finger attention --- receptive field --- inter-finger relation --- speaker diarization --- spontaneous speech processing --- voice activity detection --- overlapping speech detection --- speaker extractor models --- speaker number estimation --- model fusion --- quality estimation --- distant speech processing --- artificial neural networks --- agile global software engineering --- architectural knowledge management --- knowledge condensing --- edutainment applications --- emotions aware applications --- adaptive learning --- software architecture --- services --- formal concept analysis --- conceptual knowledge processing --- virtual reality --- human–computer interaction --- automatic speech recognition --- acoustic modeling --- highly inflected word forms --- acoustic background

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• Reference Manager
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The present book contains all of the articles that were accepted and published in the Special Issue of MDPI’s journal Mathematics titled "Computational Intelligence and Human–Computer Interaction: Modern Methods and Applications". This Special Issue covered a wide range of topics connected to the theory and application of different computational intelligence techniques to the domain of human–computer interaction, such as automatic speech recognition, speech processing and analysis, virtual reality, emotion-aware applications, digital storytelling, natural language processing, smart cars and devices, and online learning. We hope that this book will be interesting and useful for those working in various areas of artificial intelligence, human–computer interaction, and software engineering as well as for those who are interested in how these domains are connected in real-life situations.

Research & information: general --- Mathematics & science --- virtual dialogue assistant --- natural language processing --- machine learning --- online distance learning --- ubiquitous computing --- smart cars --- natural interfaces --- multimodal interaction --- smart devices --- gesture input --- voice input --- digital storytelling --- cultural heritage --- usability evaluation --- multi-platform evaluation --- fingerspelling recognition --- depth sensor --- finger attention --- receptive field --- inter-finger relation --- speaker diarization --- spontaneous speech processing --- voice activity detection --- overlapping speech detection --- speaker extractor models --- speaker number estimation --- model fusion --- quality estimation --- distant speech processing --- artificial neural networks --- agile global software engineering --- architectural knowledge management --- knowledge condensing --- edutainment applications --- emotions aware applications --- adaptive learning --- software architecture --- services --- formal concept analysis --- conceptual knowledge processing --- virtual reality --- human–computer interaction --- automatic speech recognition --- acoustic modeling --- highly inflected word forms --- acoustic background