Taxonomia e matriz de decisão das tecnologias digitais na educação

Este artigo propõe uma Taxonomia e uma Matriz de Decisão das Tecnologias Digitais na Educação (TDE), cujo objetivo é colaborar com os professores na escolha e incorporação da tecnologia digital em sala de aula. A análise se caracterizou por utilizar uma metodologia teórica descritiva fundamentada nos estudos de Manning y Johnson e na teoria Hype-cycle de Gartner. O resultado considera quatro categorias centrais: Autoria; Busca, Armazenamento e Socialização; Imersividade Virtual; e Tecnologia Assistiva. Todas estas contem ferramentas específicas que se subdividem em razão de suas características. A matriz de decisão permite aos professores conhecer e avaliar ferramentas individuais e determinar quais dessas atendem às necessidades de ensino, previamente planejadas.

84 The Adoption of AI in the Core Scientific Cycle of Feed Research

The Gartner Hype Cycle methodology highlights five self-explanatory steps through which a technological innovation needs to go: (1) innovation trigger, (2) peak of inflated expectations, (3) trough of disillusionment, (4) slope of enlightenment, and (5) plateau of productivity. It is between step 4 and 5 that any tech innovation really starts to commercially pay off. For Artificial Intelligence (AI), the possibilities and challenges are so diverse that several separate cycles now exist for distinct parts of AI development. For the Animal Sciences / Feed industry the application of AI is not straightforward. In fact, in most industries, application is not straightforward because applications equals implementation. Hence, being able to translate the pains and gains of your customer into the models that you create, and finding a way to implement it, is key and that is more than just applying AI. The majority of (animal) models in the feed industry are mechanistic by nature. Parameters are generated/updated via controlled experiments, and stochasticity is allowed via Monte Carlo simulations and scenario analyses. The validity of the model is its ability to provide usable growth/health predictions, enable least cost formulation, and provide a sustainability footprint. To further support such models, and to offer new services, we have recently begun to combine our near-infrared spectroscopy(NIR), laboratory information management system (LIMS) and mycotoxin databases with climate and geographic data to (1) predict the nutrient composition of raw materials over time, (2) enable risk assessment of mycotoxin co-contamination, (3) improve the feed evaluation of silages, (4) estimate a full nutrient profile, and (5) improve the precision of net energy estimation. In the end, if nurtured carefully, AI is just another technical leap that needs to be integrated into the core scientific cycle.

What Brings about the Success of MOOCs in the Perspective of Education Service?

MOOCs passed through ‘inflated expectation stage of Garner’s hype cycle in 2012 and has gone ‘through of disillusionment’ stage. For jumping to the slope of enlightenment, MOOCs should be considered as education service focusing on service dominant logic and co-creation of value. This chapter aims to suggest a new perspective, education service science, to cope with the crisis of MOOCs. It focuses mainly on this suggestion: the principles of education service science could be applied in order for learners with MOOCs to take optimal learning experience. Themes of this paper are service science in education and MOOCs, education service innovation in MOOCs, education service system design for educational innovation in MOOCs, and quality management of MOOCs in the perspective of education service.

Evaluation of a Gamified Learning Experience: Analysis of the impact of gamification on learning outcomes in education

Gamification has gone through a faddish cycle. It first gained prominence around 2012 and was quickly abandoned, as practitioners did not achieve the outcomes they expected. According to Gartner’s Hype Cycle, Gamification is at a point at which one might expect wide scale adoption. However, if history is not to repeat itself and results are to be achieved as theoretically predicted, a deeper understanding of the concept is essential. In the current study, the researchers attempt to evaluate a gamified learning experience. The participants were students of a Master in Business Administration course. The students were asked to participate in a gamified module and relevant data was collected, before and after the intervention. Based on a review of literature, the researchers identified the exogenous variables of Valence, Attitude towards use of Technology and Experience with Technology. The endogenous variables identified included Reaction and Learning. The findings of the study suggest that the gamified module resulted in increase in knowledge and that Attitude, Experience and Valence significantly predicted the Learner’s reaction to the experience. The findings of the study provide support to key theories in the area of gamification and insights for practitioners, on the factors to be considered before using a gamified learning intervention.

Blockchain-Based Solutions in Achieving SDGs after COVID-19

In this paper, we attempt to explore the extent to which the hard won development gains over the last several years could be reversed due to the unfolding COVID-19 global pandemic, how we can reboot the global response to accelerate the SDGs in times of uncertainties, and most importantly how to turn the recovery into an opportunity to build back better and more resilient economies. To do so, we examine the case of blockchain as one of the emerging innovative work-streams in development practices that could lead the way forward and pave the path for new developmental narratives as we all navigate the uncharted territories of the new digital age. This paper provides useful insights about the underlying dynamics underpinning the adoption of blockchain backed-solutions for sustainable development, and it showcases some of the promising use-cases being developed through trial-and-error experiments by its early adopters. The paper offers a deep dive into a burgeoning development practice in search of disrupting business-as-usual to solve increasingly complex development challenges by mainstreaming innovations such as blockchain-enabled solutions to rethink the ways in which development solutions are being delivered across the SDG spectrum. This work points to the significant potential of blockchain technology as a game changer in solving some of the most pressing issues hindering the global recovery post Covid-19 to transition towards greener and more inclusive economies. Nevertheless, we also stress that the hype-cycle behind the “let’s blockchain it” trend does not mean that blockchain-backed solutions are necessarily superior to other alternatives which might be less costly and less technical in nature. Development practitioners prototyping and implementing blockchain-based solutions for sustainable development can utilize these insights and discussions to make informed decisions in their journey to harness the disruptive potential of blockchain alone or in tandem with other emerging technologies in the new world of business as unusual.

Factors Influencing the Adoption of Cloud Computing by Small and Medium-Sized Enterprises (SMEs)

The main objective of this study is to determine the factors influencing the cloud computing adoption by Small and Medium sized Enterprises (SMEs). Based on two dominant theories in the field of diffusion of innovation, a conceptual model is proposed. In order to test the model empirically, an online survey was designed and launched. Decision makers of 101 SMEs agreed to participate in this survey. In order to evaluate the internal, convergent and discriminant validity of the instrument, factor analysis and reliability tests of panel data were performed. The logistic regression analysis was deployed to test the research hypotheses. The results of regression analysis reveal that decision maker’s knowledge about cloud computing is the main influential factor in adopting this technology. A comparison between two groups of cloud adopters and non-adaptors confirm the recent Gartner's hype cycle model for emerging technology (as discussed in chapter 7) indicating a high expectation from cloud computing in both groups.

Factors Influencing the Adoption of Cloud Computing by Small and Medium-Sized Enterprises (SMEs)

The main objective of this study is to determine the factors influencing the cloud computing adoption by Small and Medium sized Enterprises (SMEs). Based on two dominant theories in the field of diffusion of innovation, a conceptual model is proposed. In order to test the model empirically, an online survey was designed and launched. Decision makers of 101 SMEs agreed to participate in this survey. In order to evaluate the internal, convergent and discriminant validity of the instrument, factor analysis and reliability tests of panel data were performed. The logistic regression analysis was deployed to test the research hypotheses. The results of regression analysis reveal that decision maker’s knowledge about cloud computing is the main influential factor in adopting this technology. A comparison between two groups of cloud adopters and non-adaptors confirm the recent Gartner's hype cycle model for emerging technology (as discussed in chapter 7) indicating a high expectation from cloud computing in both groups.

GARTNER HYPE CYCLE ЯК МЕТОДИКА АНАЛІЗУ ЗАКОНОМІРНОСТЕЙ РОЗВИТКУ ІНФОРМАЦІЙНО- КОМУНІКАЦІЙНИХ ТЕХНОЛОГІЙ

Мета статті — схарактеризувати Gartner Hype Cycle methodology як спробу виявлення закономірностей розвитку сучасних інформаційно-комунікаційних технологій. Методологія дослідження ґрунтується на застосуванні загальнонаукової групи формально-логічних методів, таких як аналіз, синтез, абстрагування, а також системного і структурно-функціонального підходів. Наукова новизна полягає у тому, що у роботі розширено уявлення про методики аналізу тенденцій і закономірностей розвитку сучасних інформаційно-комунікаційних технологій, звернено увагу на необхідність врахування даних наявних методик оцінювання стану розвитку ІКТ в гуманітарних дослідженнях для отримання більш обґрунтованих висновків. У статті акцентовано на необхідності всебічного і ґрунтовного аналізу з погляду гуманітаристики досягнень, тенденцій, закономірностей і перспектив розвитку інформаційно- комунікаційних технологій — одного з ключових чинників життєдіяльності сучасного суспільства. Подано класифікацію ІКТ, що ґрунтується на врахуванні видів і способів отримання та обробки інформації. Наведено детальний аналіз Gartner Hype Cycle methodology, звернено увагу на її недоліки. Висновки. Наголошено, що оскільки сфера інформаційних і комунікаційних технологій схильна до постійних змін і надзвичайно швидкого, а головне — непередбачуваного розвитку мало не щохвилини, то кожна зміна поколінь засобів інформаційної технології вимагає не просто навчання і підвищення кваліфікації, а й радикальної зміни мислення фахівців і користувачів, зміни обладнання тощо. Звернено увагу, що розробка та використання в численних сферах життєдіяльності людини NBIC-технологій зумовлює необхідність, по-перше, прийняття неминучості процесу застосування прогресивних технологій, якими б неймовірними і фантастичними не здавалися наслідки їх впровадження; по-друге, послідовного культурологічного осмислення й адекватного супроводу пов’язаних із цим процесом досягнень і ризиків.

Using Blockchain-Enabled Solutions as SDG Accelerators in the International Development Space

As the world is striving to recover from the shockwaves triggered by the COVID-19 crisis, all hands are needed on deck to transition towards green recovery and make peace with nature as prerequisites of a global sustainable development pathway. In this paper, we examine the blockchain hype, the gaps in the knowledge, and the tools needed to build promising use cases for blockchain technology to accelerate global efforts in this decade of action towards achieving the SDGs. We attempt to break the “hype cycle” portraying blockchain’s superiority by navigating a rational blockchain use case development approach. By prototyping an SDG Acceleration Scorecard to use blockchain-enabled solutions as SDG accelerators, we aim to provide useful insights towards developing an integrated approach that is fit-for-purpose to guide organizations and practitioners in their quest to make informed decisions to design and implement blockchain-backed solutions as SDG accelerators. Acknowledging the limitations in prototyping such tools, we believe these are minimally viable products and should be considered as living tools that can further evolve as the blockchain technology matures, its pace of adoption increases, lessons are learned, and good practices and standards are widely shared and internalized by teams and organizations working on innovation for development.

Using Blockchain-Enabled Solutions as SDG Accelerators in the International Development Space

As the world is striving to recover from the shockwaves triggered by the Covid-19 crisis, all hands are needed on deck to transition towards a green recovery and make peace with nature as prerequisites of a global sustainable development pathway. In this paper, we examine the blockchain hype and the gaps in data and tools to build promising use cases for blockchain technology to accelerate global efforts in the decade of action towards achieving the SDGs. We attempted to break the hype-cycle portraying blockchain’s superiority by navigating a rational blockchain use case development approach. By prototyping an SDG Acceleration Scorecard to use blockchain-enabled solutions as SDG accelerators, we aim to provide useful insights towards developing an integrated approach that is fit-for-purpose to guide organizations and practitioners in their quest to make informed decisions to design and implement blockchain-backed solutions as SDG accelerators. Acknowledging the limitations in prototyping such tools, we believe these are minimally viable products and should be considered as living tools that can further evolve as the blockchain technology is getting mature, its pace of adoption increasing, and its lessons learned, good practices and standards widely shared and internalized by teams and organizations working on innovation for development.