Learning Landscape in Gamification: The Need for a Methodological Protocol in Research Applications

In education, the term "gamification" refers to of the use of game-design elements and gaming experiences in the learning processes to enhance learners' motivation and engagement. Despite researchers' efforts to evaluate the impact of gamification in educational settings, several methodological drawbacks are still present. Indeed, the number of studies with high methodological rigor is reduced and, consequently, so are the reliability of results. In this work, we identified the key concepts explaining the methodological issues in the use of gamification in learning and education, and we exploited the controverses identified in the extant literature. Our final goal was to set up a checklist protocol that will facilitate the design of more rigorous studies in the gamified-learning framework. The checklist suggests potential moderators explaining the link between gamification, learning, and education identified by recent reviews, systematic reviews, and meta-analyses: study design, theory foundations, personalization, motivation and engagement, game elements, game design, and learning outcomes.

Exploring proximity-based recommendation criteria as a tool for information exchange and interactions between locals and tourists

Sharing economy and contemporary tourism are two emerging concepts that urge to be investigated together with new ubiquitous and immersive technologies, in the tourism and hospitality sector. In this rich scenario, we designed and implemented ShareCities, a platform to foster remote direct information exchange and meaningful interactions among tourists and locals. Exploiting ShareCities we here present an extended analysis on the opportunity to use people-to-people recommendation criteria based on proximity. We hence defined three criteria which drove our analysis: i) profile similarity, ii) geographical proximity, and iii) random exploration. Through an online questionnaire, we collect answers from 126 young-adult students, obtaining a general positive interest in the three criteria but also concerns in terms of privacy, trust, and feeling of disorientation.

Visualizing Internal Sustainability Efforts in Big Companies

Internal sustainability efforts (ISE) refer to a wide range of internal corporate policies focused on employees. They promote, for example, work-life balance, gender equality, and a harassment-free working environment. At times, however, companies fail to keep their promises by not publicizing truthful reports on these practices, or by overlooking employees voices on how these practices are implemented. To partly fix that, we developed a deep-learning (DL) framework that scored fourth fifths of the S&P 500 companies in terms of six ISEs, and a web-based system that engages users in a learning and reflection process about these ISEs. We evaluated the system in two crowdsourced studies with 421 participants, and compared our treemap visualization with a baseline textual representation. We found that our interactive treemap increased by up to 7% our participants opinion change about ISEs, demonstrating its potential in machine-learning (ML) driven visualizations.

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

Tourism is one of the world's largest industries fundamentally arising from mobility as a form of capital. In destination islands that have a delicate ecosystem to maintain, this source of income can become problematic in terms of sustainability. A difficulty in making people aware of this issue is also represented by the fact that such sustainability-related issues (and their causes) are often not "visible" to citizens. To foster awareness about the relationship between sustainability and tourism in well-known destinations, we design a platform that engages users at two levels of participation: i. at the IoT and sensors level, in order to let them becoming providers of big data, deploying and enlarging the pervasive infrastructure; ii. at the (big) data visualization level, with the aim of engaging them in making sense of large volumes of data related to sustainability. This paper presents the design and implementation of a real-world experience where a low-cost collaborative platform made it possible to sense and visualize tourist flows and urban data into a rich interactive map-based visualization, open to the local communities. We deployed our case study in the Madeira archipelago, engaging locals and visitors of the island in two exploratory studies focused on measuring the impact of providing users with meaningful representations of tourism flows and related unperceivable aspects that affect the environmental sustainability. Analysing the findings of the two studies, we discuss the potentiality of using such a system to make sense of big data, fostering awareness about sustainability issues, and we point to future open challenges about citizens' participation in sensing and making sense of big data.

On exploiting Data Visualization and IoT for Increasing Sustainability and Safety in a Smart Campus

In a world that is getting increasingly digital and interconnected, and where more and more physical objects are integrated into the information network (Internet of Things, IoT), Data Visualization can facilitate the understanding of huge volumes of data. In this paper, we present the design and implementation of a testbed where IoT and Data Visualization have been exploited to increase the sustainability and safety of the Cesena (Smart) Campus. In particular, we detail the overall system architecture and the interactive dashboard that facilitates the management of the campus premises and the timetabling. Exploiting our system, we show how we can improve the campus sustainability (in terms of energy saving) and safety (considering the COVID-19 restrictions and regulations).

Designing human-centric software artifacts with future users: a case study

The quality and quantity of participation supplied by human beings during the different phases of the design and development of a software artifact are central to studies in human-centered computing. With this paper, we have investigated on what kind of experienced people should be engaged to design a new computational artifact, when a participatory approach is adopted. We compared two approaches: the former including only future users (i.e., novices) in the design process, and the latter enlarging the community to expert users. We experimented with the design of a large software artifact, in use at the University of Bologna, engaging almost 1500 users. Statistical methodologies were employed to validate our findings. Our analysis has provided mounting evidence that expert users have contributed to the design of the artifact only by a small amount. Instead, most of the innovative initiatives have come from future users, thus surpassing some traditional limitations that tend to exclude future users from this kind of processes. We here challenge the traditional opinion that expert users provide typically a more reliable contribution in a participatory software design process, demonstrating instead that future users would be often better suited. Along this line of sense, this is the first paper, in the field of human-centric computing, that discusses the relevant question to offer to future users a larger design space, intended as a higher level of freedom given in a software design situation, demarcated by precise design constraints. In this sense, the outcome has been positive.

Attitudes of Crohn's Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts

BACKGROUND

Data concerning patients originates from a variety of sources on social media.

OBJECTIVE

The aim of this study was to show how methodologies borrowed from different areas including computer science, econometrics, statistics, data mining, and sociology may be used to analyze Facebook data to investigate the patients' perspectives on a given medical prescription.

METHODS

To shed light on patients' behavior and concerns, we focused on Crohn's disease, a chronic inflammatory bowel disease, and the specific therapy with the biological drug Infliximab. To gain information from the basin of big data, we analyzed Facebook posts in the time frame from October 2011 to August 2015. We selected posts from patients affected by Crohn's disease who were experiencing or had previously been treated with the monoclonal antibody drug Infliximab. The selected posts underwent further characterization and sentiment analysis. Finally, an ethnographic review was carried out by experts from different scientific research fields (eg, computer science vs gastroenterology) and by a software system running a sentiment analysis tool. The patient feeling toward the Infliximab treatment was classified as positive, neutral, or negative, and the results from computer science, gastroenterologist, and software tool were compared using the square weighted Cohen's kappa coefficient method.

RESULTS

The first automatic selection process returned 56,000 Facebook posts, 261 of which exhibited a patient opinion concerning Infliximab. The ethnographic analysis of these 261 selected posts gave similar results, with an interrater agreement between the computer science and gastroenterology experts amounting to 87.3% (228/261), a substantial agreement according to the square weighted Cohen's kappa coefficient method (w2K=0.6470). A positive, neutral, and negative feeling was attributed to 36%, 27%, and 37% of posts by the computer science expert and 38%, 30%, and 32% by the gastroenterologist, respectively. Only a slight agreement was found between the experts' opinion and the software tool.

CONCLUSIONS

We show how data posted on Facebook by Crohn's disease patients are a useful dataset to understand the patient's perspective on the specific treatment with Infliximab. The genuine, nonmedically influenced patients' opinion obtained from Facebook pages can be easily reviewed by experts from different research backgrounds, with a substantial agreement on the classification of patients' sentiment. The described method allows a fast collection of big amounts of data, which can be easily analyzed to gain insight into the patients' perspective on a specific medical therapy.

[Oncology health professionals' perception regarding the problem of fatigue in cancer in Italy]

Cancer relate fatigue is one of the most frequent problems among cancer patients. It is a nosological highly debilitating entity which has very negative effects on patients quality of life. Foreign literature reports that only during last years oncological operators have started getting aware and their training in order to face it is lacking. Our research wants to propose and analysis of the Italian reality by sending to oncological doctors and nurses a quationnaire. This questionnaire allowed to demonstrate that oncological operators have started knowing the fatigue problem but they are still unprepared about knowledge, professional capability and organizational modalities which could allow a better and efficacius approach to the fatigue problem. We think that research and professional training are the two ways which we will allow to gain knowledge and proper instruments in order to provide for our patients'needs.

A new palladium-catalysed synthesis of 1,1-dialkylbuta-1,3-dienes via organoboron intermediates

Iodobenzene and tetrakis(triphenylphosphine)palladium(0) [(C6H5)3P]4Pd catalyse a new synthesis of 1,1-dialkylbuta-1,3-dienes, starting from 1,1-diethoxybut-2-ene and trialkylboranes, in the presence of Schlosser's superbase LIC-KOR.

Two absorption furosemide prodrugs

The structures of two absorption furosemide prodrugs, hexanoyloxymethyl 4-chloro-N-furfuryl-5-sulfamoyl-anthranilate (C19H23CIN2O7S), (I), and benzoyloxymethyl 4-chloro-N-furfuryl-5-sulfamoylanthranilate (C20H17CIN2O7S), (II), are described in this paper and compared with furosemide and four other prodrugs. The molecular conformations of both compounds are similar to those of the other prodrugs; the packing and the crystal system are the primary differences. Compound (I) crystallizes in the trigonal space group R3 and compound (II) in the monoclinic space group P2(1)/n. The packing of both structures is stabilized by a three-dimensional hydrogen-bond network.

Bioavailability study of furosemide prodrugs in rats

According to the hydrolysis performance "in vitro" and lipophylicity, two Furosemide (F) prodrugs were chosen from a series of acyloxymethylesters of F synthesized previously: P1 (acetyloxymethyl-4-chloro-N-furfuryl-5-sulfamoylanthranilate ) and P4 (pivaloyloxymethyl-4-chloro-N-furfuryl-5-sulfamoylanthranilate+ ++). The bioavailability studies were assayed over two groups of eight male Wistar rats as a randomized two-way crossover and balanced design: group 1) a solution of P1 in propylenglycol/ethyl acetate vs an aqueous solution of F, and group 2) P1 vs. P4 solutions in oleic acid (P1#, P4#). These assays showed a better absorption performance of P1 and P4 than F, while the two prodrugs showed a similar bioavailability. The oleic acid seems to be responsible for the delay in the recovery of 50% of the total amount of F excreted in urine (T50%). When the monitoring is done in plasma after the administration of P1#, P1 was not detected as circulating prodrug. The analytical determinations of F in urine and plasma were done by high performance liquid chromatography (HPLC). From the urinary excretion data, a slope that indicates a slow elimination was found with a half-life of 12 hours approximately.

Development of absorption furosemide prodrugs: synthesis, in vitro and in vivo evaluation

Six acyloxymethyl esters of Furosemide were synthesized and the structures were determined by chemical and spectroscopic methods. Lipophilicity parameters were analysed by high performance liquid chromatography (HPLC). Hydrolysis performances in human plasma and intestinal fluids anticipate their properties as absorption prodrugs of Furosemide. A bioavailability study carried out with 8 male Wistar rats with one of the synthesized prodrug (acetyloxymethyl 4-chloro-N-furfuryl-5-sulfamoylanthranilate) showed a greater absorption in relation to Furosemide. The percentages of mean urinary recovery of Furosemide for the prodrug and for the standard solution of the drug were 20.84 and 14.36 respectively. The doses were 10 mg/Kg in Furosemide. The analytical determinations of Furosemide in biological fluids were done by HPLC.