De zogenoemde “21th century skills” worden, aldus het Ministerie van Onderwijs, steeds belangrijker. Het zijn eigenschappen die we terugvinden in de eindtermen van vrijwel alle hbo-opleidingen en die – in de woorden van Donald Schön – de kern zijn van een “reflective practitioner” : een vakvrouw of –man, die zichzelf in complexe situaties kan sturen en daardoor productief blijft. Eerder onderzoek van het lectoraat Pedagogiek van de Beroepsvorming heeft aangetoond dat een leeromgeving gericht op zelfsturing aan drie condities moet voldoen: er moet sprake zijn van praktijkgestuurd onderwijs, studenten moeten de kans krijgen een dialoog aan te gaan over de zin en betekenis van hun ervaringen in het praktijkgestuurde onderwijs en studenten moeten medezeggenschap hebben over hun eigen leerproces. Met name het realiseren van een dialoog blijkt echter heel moeilijk te zijn. Zowel docenten als studenten (en ook de onderwijsmanagers) zijn gewend aan onderwijs waarin zin en betekenis nauwelijks ter discussie staat. Het gevolg is dat ze vooral gericht zijn op reproductief en niet op betekenis-gericht leren. Zelfsturing vereist evenwel deze laatste vorm van leren. Zelfsturing vereist een dialoog over de zin en betekenis van ervaringen die de student “raken”. Dergelijke ervaringen roepen veelal emoties op die in eerste instantie niet begrepen worden. Zin en betekenis zijn “geen dingen in een doosje”; ze worden gaandeweg duidelijk in een gesprek waarin de docent verklaart noch verheldert, maar samen met de student op zoek gaat naar de juiste woorden. Dat zijn woorden waarvan de student voelt dat ze haar in staat stellen iets uit te drukken dat voorheen nog niet onder woorden gebracht kon worden. In dit boek wordt vanuit verschillende perspectieven en op basis van empirisch onderzoek ingegaan op de vraag in hoeverre het hbo er in slaagt een dergelijke dialoog met haar studenten te realiseren. Tevens wordt stilgestaan bij methoden om zo’n dialoog te realiseren.
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Hoofdstuk 2 gaat over peer en professionele online support voor ouders bij het opvoeden. In totaal bevat het boek 31 hoofdstukken over sociaal netwerken, geschreven door tientallen onderzoekers wereldwijd.
MULTIFILE
The section - Travel Psychology - contains 3 chapters. Chapter 1 starts by listing different types of travel constraints facing all citizens. For travelers who negotiate their travel constraints and are able to travel, two seminal models for tourism motivations are reviewed. First, the pull and push factors are mentioned along with examples. In a second model, travel motivations are categorized into traveling to gain something and, travelling to get away from something.After reviewing various travel constraints and motivations, Chapter 1 continues by discussing how travelers’ mood and tendencies at any given time could affect the type of travel destination they pursue – historical vs. natural vs. manmade; warm vs. cold; urban vs. country; crowded vs. quiet; familiar vs. novel vs arousing; and, the type of experiences and activities travelers pursue on their vacation. Also, the relationship between less dynamic personality traits and travel decision-makings are discussed: who to travel with, where to stay, what to do; perceived risks; and information seeking behavior. Chapter 1 ends by discussing how travel service providers could play a significant role in helping customers make more informed and authentic decisions that would eventually feed their psychological needs, wants, and wellbeing. This wellbeing perspective to travel is contrasted with a service quality and money-driven perspective in tourism industry and research. Chapter 2 starts by reviewing the fundamentals of the science of positive psychology, defining wellbeing, happiness, and quality of life, and how tourism could be accounted as one element linked to all the above. A page is dedicated to memorable tourism experiences and its different dimensions such as hedonic and eudaimonic experiences, and how some of these memorable experiences positively impact travelers’ subjective wellbeing. In the core of chapter 2, travelers’ diverse needs are discussed under: (a) physiological needs such as quality and attractive local food and drinks, physical activity, and adequate sleep on vacations; (b) mental needs including topics such as expressing emotions before, during, and after vacation, causes and fluctuations of emotions; mood regulations on vacations; mindfulness; technology use; stress recovery mechanisms during vacations namely relaxation, detachment, control, mastery; and optimal challenge and flow states for individuals and group of travelers; (c) interpersonal needs of the traveler including interaction with host community, service providers, and other travelers, e.g., joint experiences of romantic partners and family members. Throughout chapter 2, how service providers and experience designers could more effectively monitor, identify, and address these physiological, mental, and social needs are thoroughly discussed. Moreover, evidence and research-based travel tips are offered to general travelers for observing, attending to, appreciating, and enhancing positive emotions during the anticipation phase of a vacation, during the actual trip, on the way home, and up to two weeks post-vacation. A small section at the end of Chapter 2 is devoted to the psychology of holidays and staycations for employees with stressful jobs. Chapter 3 discusses how small occasions during vacations can accumulate and sometimes have long-term psychological effects on travelers. This chapter reviews the psychological of souvenirs, savoring, and photography on vacations. It continues by talking about the concepts of self-awareness, learning, growth, meaning and transformation, related to vacations, using examples. Chapter 3 ends by encouraging travel planners and designers to invest in long-term benefits of vacations.This handbook contains a total of 42 chapters on a range of topics aimed at educating employees at tourism service providers in Iran. This book is in press and distribution, and will be the official source for the national exam for the national travel agency certification in Iran. Topics of this book include the following: tour design and operations, travel psychology, air travel, tour marketing, human resource management, accounting, travel technology, travel start-ups, strategic management, and ethics.
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Lack of physical activity in urban contexts is an increasing health risk in The Netherlands and Brazil. Exercise applications (apps) are seen as potential ways of increasing physical activity. However, physical activity apps in app stores commonly lack a scientific base. Consequently, it remains unknown what specific content messages should contain and how messages can be personalized to the individual. Moreover, it is unknown how their effects depend on the physical urban environment in which people live and on personal characteristics and attitudes. The current project aims to get insight in how mobile personalized technology can motivate urban residents to become physically active. More specifically, we aim to gain insight into the effectiveness of elements within an exercise app (motivational feedback, goal setting, individualized messages, gaming elements (gamification) for making people more physically active, and how the effectiveness depends on characteristics of the individual and the urban setting. This results in a flexible exercise app for inactive citizens based on theories in data mining, machine learning, exercise psychology, behavioral change and gamification. The sensors on the mobile phone, together with sensors (beacons) in public spaces, combined with sociodemographic and land use information will generate a massive amount of data. The project involves analysis in two ways. First, a unique feature of our project is that we apply machine learning/data mining techniques to optimize the app specification for each individual in a dynamic and iterative research design (Sequential Multiple Assignment Randomised Trial (SMART)), by testing the effectiveness of specific messages given personal and urban characteristics. Second, the implementation of the app in Sao Paolo and Amsterdam will provide us with (big) data on use of functionalities, physical activity, motivation etc. allowing us to investigate in detail the effects of personalized technology on lifestyle in different geographical and cultural contexts.
Lack of physical activity in urban contexts is an increasing health risk in The Netherlands and Brazil. Exercise applications (apps) are seen as potential ways of increasing physical activity. However, physical activity apps in app stores commonly lack a scientific base. Consequently, it remains unknown what specific content messages should contain and how messages can be personalized to the individual. Moreover, it is unknown how their effects depend on the physical urban environment in which people live and on personal characteristics and attitudes. The current project aims to get insight in how mobile personalized technology can motivate urban residents to become physically active. More specifically, we aim to gain insight into the effectiveness of elements within an exercise app (motivational feedback, goal setting, individualized messages, gaming elements (gamification) for making people more physically active, and how the effectiveness depends on characteristics of the individual and the urban setting. This results in a flexible exercise app for inactive citizens based on theories in data mining, machine learning, exercise psychology, behavioral change and gamification. The sensors on the mobile phone, together with sensors (beacons) in public spaces, combined with sociodemographic and land use information will generate a massive amount of data. The project involves analysis in two ways. First, a unique feature of our project is that we apply machine learning/data mining techniques to optimize the app specification for each individual in a dynamic and iterative research design (Sequential Multiple Assignment Randomised Trial (SMART)), by testing the effectiveness of specific messages given personal and urban characteristics. Second, the implementation of the app in Sao Paolo and Amsterdam will provide us with (big) data on use of functionalities, physical activity, motivation etc. allowing us to investigate in detail the effects of personalized technology on lifestyle in different geographical and cultural contexts.
