Design of interactive visualization of models and students data

This document reports the design of the interactive visualizations of open student models that will be performed in GRAPPLE. The visualizations will be based on data stored in the domain model and student model, and aim at supporting learners to be more engaged in the learning process, and instructors in assisting the learners

NAVIGATION SUPPORT AND SOCIAL VISUALIZATION FOR PERSONALIZED E-LEARNING

A large number of educational resources is now made available on the Web to support both regular classroom learning and online learning. However, the abundance of available content produced at least two problems: how to help students to find the most appropriate resources and how to engage them into using these resources and benefit from them. Personalized and social learning have been suggested as potential ways to address these problems. This work attempts to combine the ideas of personalized and social learning by providing navigation support through an open social student modeling visualization. A series of classroom studies exploited the idea of the approach and revealed promising results, which demonstrated the personalized guidance and social visualization combined helped students to find the most relevant resources of parameterized self-assessment questions for Java programming. Thus, this dissertation extend the approach to a larger collection of learning objects for cross content navigation and verify its capability of supporting social visualization for personalized E-Learning. The study results confirm that working with the non-mandatory system, students enhanced the learning quality in increasing their motivation and engagement. They successfully achieved better learning results. Meanwhile, incorporating a mixed collection of content in the open social student modeling visualizations effectively led the students to work at the right level of questions. Both strong and weak student worked with the appropriate levels of questions for their readiness accordingly and yielded a consistent performance across all three levels of complexities. Additionally, providing a more realistic content collection on the navigation supported open social student modeling visualizations results in a uniform performance in the group. The classroom study revealed a clear pattern of social guidance, where the stronger students left the traces for weaker ones to follow. The subjective evaluation confirms the design of the interface in terms of the content organization. Students’ positive responses also compliment the objective system usage data

Context Aware Middleware Architectures: Survey and Challenges

Abstract: Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous interface involving generic context management solutions. This paper provides a survey of state-of-the-art context aware middleware architectures proposed during the period from 2009 through 2015. First, a preliminary background, such as the principles of context, context awareness, context modelling, and context reasoning, is provided for a comprehensive understanding of context aware middleware. On this basis, an overview of eleven carefully selected middleware architectures is presented and their main features explained. Then, thorough comparisons and analysis of the presented middleware architectures are performed based on technical parameters including architectural style, context abstraction, context reasoning, scalability, fault tolerance, interoperability, service discovery, storage, security & privacy, context awareness level, and cloud-based big data analytics. The analysis shows that there is actually no context aware middleware architecture that complies with all requirements. Finally, challenges are pointed out as open issues for future work

Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning

The realities of the 21st-century learner require that schools and educators fundamentally change their practice. "Educators must produce college- and career-ready graduates that reflect the future these students will face. And, they must facilitate learning through means that align with the defining attributes of this generation of learners."Today, we know more than ever about how students learn, acknowledging that the process isn't the same for every student and doesn't remain the same for each individual, depending upon maturation and the content being learned. We know that students want to progress at a pace that allows them to master new concepts and skills, to access a variety of resources, to receive timely feedback on their progress, to demonstrate their knowledge in multiple ways and to get direction, support and feedback from—as well as collaborate with—experts, teachers, tutors and other students.The result is a growing demand for student-centered, transformative digital learning using competency education as an underpinning.iNACOL released this paper to illustrate the technical requirements and functionalities that learning management systems need to shift toward student-centered instructional models. This comprehensive framework will help districts and schools determine what systems to use and integrate as they being their journey toward student-centered learning, as well as how systems integration aligns with their organizational vision, educational goals and strategic plans.Educators can use this report to optimize student learning and promote innovation in their own student-centered learning environments. The report will help school leaders understand the complex technologies needed to optimize personalized learning and how to use data and analytics to improve practices, and can assist technology leaders in re-engineering systems to support the key nuances of student-centered learning

Designing for empowerment

Technology bears the potential to empower people - to help them tackle challenges they would otherwise give up on or not even try, to make experiences possible they did not have access to before. One type of such technologies - the application area of this thesis - is health and wellbeing technology (HWT), such as digital health records, physical activity trackers, or digital fitness coach applications. HWTs often claim to empower people to live healthier and happier lives. However, there is reason to challenge and critically reflect on these claims and underlying assumptions as more and more researchers are finding that technologies aiming or claiming to be empowering often turn out to be disempowering. This critical reflection is the starting point of this thesis: Can HWTs really empower people in their everyday lives? If so, how should we go about designing them to foster empowerment and avoid disempowerment? To this aim, this thesis makes three main contributions: First, it presents a framework of empowering technologies that aims to introduce conceptual and terminological clarity of empowerment in the field of Human-Computer Interaction (HCI). As a literature review conducted for this thesis reveals, the understandings of empowerment in HCI diverge substantially, rendering the term a subsumption of diverse research endeavors. The presented framework is informed by the results of the literature review as well as prior work on empowerment in social sciences, psychology, and philosophy. It aims to help other researchers to analyze conceptual differences between their own work and others’ and to position their research projects. In the same way, this thesis uses the proposed framework to analyze and reflect on the conducted case studies. Second, this thesis explores how HWT can empower people in a number of studies. Technologies that are investigated in these studies are divided into three interaction paradigms (derived from Beaudouin-Lafon’s interaction paradigms): Technologies that follow the computer-as-tool paradigm include patient-controlled electronic health records, and physical activity trackers; technologies in the computer-as-partner paradigm include personalized digital fitness coaches; and technologies in the computer-as-intelligent-tool paradigm includes transparently designed digital coaching technology. For each of these paradigms, I discuss benefits and shortcomings, as well as recommendations for future work. Third, I explore methods for designing and evaluating empowering technology. Therefore, I analyze and discuss methods that have been used in the different case studies to inform the design of empowering technologies such as interviews, observations, personality tests, experience sampling, or the Theory of Planned Behavior. Further, I present the design and evaluation of two tools that aimed to help researchers and designers evaluate empowering technologies by eliciting rich, contextualized feedback from users and fostering an empathic relationship between users and designers. I hope that my framework, design explorations, and evaluation tools will serve research on empowering technologies in HCI to develop a more grounded understanding, a clear research agenda, and inspire the development of a new class of empowering HWTs.Technologie für Empowerment — im Deutschen am besten mit Befähigung oder Ermächtigung übersetzt: diese Vision ist sowohl in medizinischen und technischen Fachkreisen als auch in der wissenschaftlichen Literatur im Feld Mensch-Maschine Interaktion (MMI) weit verbreitet. Technologie kann — laut dieser Vision — Menschen helfen Herausforderungen zu meistern, die sie sonst nicht schaffen oder nicht mal versuchen würden, oder Ihnen komplett neue Erfahrungen ermöglichen. Eine Art von “empowernden”, also befähigenden Technologien sind Technologien für Gesundheit und Wohlbefinden (health and wellbeing technologies, HWT), wie beispielsweise digitale Krankenakten, Schrittzähler, oder digitale Fitnesstrainer. Sowohl Werbung als auch Forschung über HWTs preist diese häufig als Schlüssel zu einem gesünderen und glücklicheren Leben an. Es gibt aber durchaus Gründe diesen Behauptungen kritisch gegenüberzustehen. So haben bereits einige Forschungsprojekte über vermeintlich “empowernde” Technologien ergeben, dass diese eher entmächtigen — also Ihre Nutzer mehr einschränken als Ihnen mehr Möglichkeiten zu verschaffen. Eine kritische Reflexion der Annahme, dass HWTs ihre Nutzer empowern stellt den Ausgangspunkt dieser Dissertation dar: Können HWTs ihre Nutzer wirklich empowern? Falls dem so ist, wie sollten sie am besten gestaltet werden? Der Beitrag meiner Dissertation zur Beantwortung dieser Fragen wird in drei Teilen präsentiert: Im ersten Teil stelle ich ein konzeptuelles Framework vor, mit dem Ziel terminologische Klarheit im Bereich Empowerment in MMI zu fördern. Eine Literaturanalyse im Rahmen dieser Dissertation hat ergeben, dass die Verwendungen des Begriffs “Empowerment” in der MMI Literatur sehr stark voneinander abweichen. Beispielsweise wird der Begriff in Literatur über Technologien für Barrierefreiheit anders verstanden als in Literatur über Technologien für bürgerliches Engagement. Folglich schert das Schlagwort “Technologien für Empowermen”, das in Präsentationen und Denkschriften weit verbreitet ist, komplett unterschiedliche Ansätze über einen Kamm. Das Framework, das in dieser Dissertation vorgestellt wird, zeigt die Unterschiede und Gemeinsamkeiten bei der Verwendung des Empowermentbegriffs auf. Es entstand als Resultat der Literaturanalyse und integriert gleichzeitig Erkenntnisse von Empowermenttheorien die in Sozialwissenschaften, Psychologie und Philosophie diskutiert wurden. In dieser Dissertation wird das vorgestellte Framework verwendet, um die präsentierten Studien über HWTs einzuordnen und zu diskutieren. Im zweiten Teil präsentiere ich verschiedene empirische und technische Studien mit dem Ziel zu verstehen wie HWTs Menschen empowern können. Die Technologien, die dabei untersucht werden teile ich in drei Interaktionsparadigmen ein (die von den Interaktionsparadigmen von Beaudouin-Lafon abgeleitet sind): Technologien im Paradigma Computerals- Werkzeug sind beispielsweise digitale Krankenakten und Schrittzähler; Technologien im Paradigma Computer-als-Partner sind beispielsweise digitale personalisierte Fitnesstrainer und Technologien im Paradigma Computer-als-intelligentes-Werkzeug sind beispielsweise transparent gestaltete digitale personalisierte Gesundheitsberater oder Fitnesstrainer. Vorund Nachteile von Technologien in diesen drei Paradigmen werden diskutiert und Empfehlungen für zukünftige Forschung in diesen Bereichen abgeleitet. Im dritten Teil, untersuche ich, welche Methoden für die Gestaltung und Evaluierung von empowernden Technologien geeignet sind. Einerseits diskutiere ich die Vor- und Nachteile der Methoden, die in den einzelnen Untersuchungen von HWTs (im zweiten Teil) verwendet wurden, wie zum Beispiel Interviews, Observationen, die Experience Sampling Methode oder Fragebögen basierend auf der Theorie des geplanten Verhaltens. Andererseits berichte ich über die Gestaltung und Entwicklung von zwei Applikationen mit dem Ziel Forschern und Designern die Evaluation von empowernden Technologien zu erleichtern. Konkret hat die erste Applikation das Ziel es Testnutzern zu ermöglichen immer und überall für sie wichtige Aspekte des Nutzererlebnisses an das Entwicklungsteam weiterzugeben. Bei der Entwicklung der zweiten Applikation stand dagegen die Förderung von Empathie zwischen Nutzern und Designern im Vordergrund. Ich hoffe, dass das vorgestellte Framework, die Studien über HWTs und Evaluationswerkezeuge die Forschung über empowernde Technologien voranbringen, zu einer klaren Forschungsagenda beitragen, und die Entwicklung von neuartigen HWTs anregen werden

A Survey on Understanding and Representing Privacy Requirements in the Internet-of-Things

People are interacting with online systems all the time. In order to use the services being provided, they give consent for their data to be collected. This approach requires too much human effort and is impractical for systems like Internet-of-Things (IoT) where human-device interactions can be large. Ideally, privacy assistants can help humans make privacy decisions while working in collaboration with them. In our work, we focus on the identification and representation of privacy requirements in IoT to help privacy assistants better understand their environment. In recent years, more focus has been on the technical aspects of privacy. However, the dynamic nature of privacy also requires a representation of social aspects (e.g., social trust). In this survey paper, we review the privacy requirements represented in existing IoT ontologies. We discuss how to extend these ontologies with new requirements to better capture privacy, and we introduce case studies to demonstrate the applicability of the novel requirements

Research Perspectives: The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction

Cognitive computing systems (CCS) are a new class of computing systems that implement more human-like cognitive abilities. CCS are not a typical technological advancement but an unprecedented advance toward human-like systems fueled by artificial intelligence. Such systems can adapt to situations, perceive their environments, and interact with humans and other technologies. Due to these properties, CCS are already disrupting established industries, such as retail, insurance, and healthcare. As we make the case in this paper, the increasingly human-like capabilities of CCS challenge five fundamental assumptions that we as IS researchers have held about how users interact with IT artifacts. These assumptions pertain to (1) the direction of the user-artifact relationship, (2) the artifact’s awareness of its environment, (3) functional transparency, (4) reliability, and (5) the user’s awareness of artifact use. We argue that the disruption of these five assumptions limits the applicability of our extant body of knowledge to CCS. Consequently, CCS present a unique opportunity for novel theory development and associated contributions. We argue that IS is well positioned to take this opportunity and present research questions that, if answered, will lead to interesting, influential, and original theories