This exploratory case study aims to examine how students benefit from a multimodal learning environment while they engage in collaborative problem-based activity in a Human Computer Interaction (HCI) university course. For 12 weeks, 30 students, in groups of 5-7 each, participated in weekly face-to-face meetings and online interactions. Students' selfreports and tutor' observations showed that overall students benefited from the multimodal learning environment while they engaged in blended interactions across physical and digital tools and across collocated and networked learning spaces. With respect to tool use, it was found that the downward pointing projector and Facebook were used in all phases of problem based activity, while portable devices for record keeping were mainly used in progress evaluation and reflection phases.
While the characteristics related to the qualities of software in use have been standardized, people managing software development processes still have to combine and prioritize attainment levels for such characteristics. Ranking them can therefore be considered a decision problem that should be solved not only in accordance with the preferences of the stakeholders involved in the decision-making process, but also by following multi-part standards, e.g., that the relative importance of quality characteristics should depend on the high-level goals and objectives for the project. This paper presents an example guide for creating such a ranking for a group of experts coming from different domains using a decision-support inspired approach. Five important quality-in-use characteristics are evaluated by sixteen experts with the analytic hierarchy process. Obtained individual preferences were aggregated by two procedures, and achieved group results were analyzed, of which one analysis included testing of their conformity to individual results. For this case study, the group opinions indicated the top-valued quality in use was effectiveness, followed by satisfaction, freedom from risk, efficiency and context coverage in this ranked order (freedom from risk and efficiency were of nearly equal importance). Implications for the future work of applying different decision-making models such as social choice theory for studying quality attributes are also discussed.
Glavni cilj rešitve mWise je inovativen sistem za avtomatizirano in kontinuirano spremljanje, odkrivanje in zapolnjevanje vrzeli veščin in znanja (kompetenc) pri prodajnih agentih in prodajnih ekipah. Sistem omogoča samodejno odkrivanje in krepitev tistih ključnih veščin in znanj, ki so pomembna za uspešno izpeljano prodajo. Končni uporabniki (prodajniki) vsako jutro prek uporabe pametnega telefona opravijo preprost 3-minutni kviz. Kar je najpomembneje, je ta kviz personaliziran, saj vsak prejme svoj set vprašanj ali vsebin, na podlagi manjka kompetenc, ki ga mWise prek svojega kompleksnega algoritma in različnih virov podatkov, prepozna.
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