Transformation of Robotics Education in the Era of Covid-19: Challenges and Opportunities

The COVID-19 pandemic has significantly impacted many aspects of our social and professional life. To this end, Higher Education institutions reacted rather vastly to this unpreceded situation although many issues have been reported in the international literature since the emergence of the first global lockdown. As we are now transitioning back to the 'normality', universities and businesses consider the so-called 'blended' or 'hybrid' model as a means of facilitating the transition phase. In view of this decision, several studies can be identified wherein blended learning scenarios are proposed and described. The present work constitutes such an effort. Precisely, while adjusting the lens to the didactic of Robotics courses, we propose a blended learning model via which the laboratory activities are performed without the physical presence of the students in the physical context. The aforementioned objective is attained under the aid of the Virtual Reality technology coupled with the Digital Twin model. We hope that the ideas presented in this manuscript will motivate and inspire more researchers, instructional designers, and educators to consider the adoption of such alternative instructional techniques to mitigate the shortcomings that the remote education setting brings and further to improve the overall learning experience.

Does More Context Help? Effects of Context Window and Application Source on Retrieval Performance

We study the effect of contextual information obtained from a user’s digital trace on Web search performance. Contextual information is modeled using Dirichlet–Hawkes processes (DHP) and used in augmenting Web search queries. The context is captured by monitoring all naturally occurring user behavior using continuous 24/7 recordings of the screen and associating the context with the queries issued by the users. We report a field study in which 13 participants installed a screen recording and digital activity monitoring system on their laptops for 14 days, resulting in data on all Web search queries and the associated context data. A query augmentation (QAug) model was built to expand the original query with semantically related terms. The effects of context window and source were determined by training context models with temporally varying context windows and varying application sources. The context models were then utilized to re-rank the QAug model. We evaluate the context models by using the Web document rankings of the original query as a control condition compared against various experimental conditions: (1) a search context condition in which the context was sourced from search history; (2) a non-search context condition in which the context was sourced from all interactions excluding search history; (3) a comprehensive context condition in which the context was sourced from both search and non-search histories; and (4) an application-specific condition in which the context was sourced from interaction histories captured on a specific application type. Our results indicated that incorporating more contextual information significantly improved Web search rankings as measured by the positions of the documents on which users clicked in the search result pages. The effects and importance of different context windows and application sources, along with different query types are analyzed, and their impact on Web search performance is discussed.

Spoken Conversational Context Improves Query Auto-completion in Web Search

Web searches often originate from conversations in which people engage before they perform a search. Therefore, conversations can be a valuable source of context with which to support the search process. We investigate whether spoken input from conversations can be used as a context to improve query auto-completion. We model the temporal dynamics of the spoken conversational context preceding queries and use these models to re-rank the query auto-completion suggestions. Data were collected from a controlled experiment and comprised conversations among 12 participant pairs conversing about movies or traveling. Search query logs during the conversations were recorded and temporally associated with the conversations. We compared the effects of spoken conversational input in four conditions: a control condition without contextualization; an experimental condition with the model using search query logs; an experimental condition with the model using spoken conversational input; and an experimental condition with the model using both search query logs and spoken conversational input. We show the advantage of combining the spoken conversational context with the Web-search context for improved retrieval performance. Our results suggest that spoken conversations provide a rich context for supporting information searches beyond current user-modeling approaches.

[Comparison of the echo-dobutamine-atropine test and ergometric test in the diagnosis of coronary disease]

BACKGROUND

A prospective study has been done on 46 patients with suspected coronary artery disease (CAD). They had no history of myocardial infarction (MI) and a normal basal kinetic echocardiography. This was done in order to evaluate the overall accuracy of dobutamine-atropine stress echocardiography (DAS) compare to exercise stress test (ET) for the diagnosis of CAD.

METHODS

All the patients after suspension of coronary therapy, performed a casual sequence with both maximal or symptom limited exercise testing (treadmill-Bruce protocol) and DAS. The dobutamine has been given while monitoring systemic blood pressure, electrocardiography and echocardiography in steps of 10 mcg/kg/min' per 3 min' up to a maximum of 40 mcg/kg/min'. Atropine has been added (0.25-1 mg) in patients who did not reach the theoretical maximal cardiac frequency. The test is considered positive when kinetic segmental left ventricular dysfunction appeared. CAD was defined as 50% luminal area stenosis in at least 1 coronary artery at coronary angiography.

RESULTS

Significant CAD was present in 27/46 patients (59%). Compared with ET, DAS had significantly higher sensitivity (59% vs 92%, p = 0.01). The different sensibility between the two tests was higher on these patients with a 1 vessel disease (40% vs 86%, p = 0.02). There were no significant differences in specificity among the two tests (79% vs 84%, respectively). Differences in overall accuracy between ET and DAS were significant (67% vs 89%, p = 0.02).

CONCLUSIONS

The results of our study show that the DAS is a safe and feasible technique with high sensibility (especially in patients with single CAD) and specificity. This is a valid alternative to the traditional ET, especially for these patients unable to exercise or these who are poorly motivated to achieve a work load sufficient to make the test interpretable.