Abstract The purpose of this chapter is to explore how PK-12 teachers can use rapid needs assessment strategies support their students during emergency remote teaching. Using the contextual lens teaching COVID-19 pandemic, provides a review challenges faced by and students. In response similar future situations, we recommend mitigate challenges. This an overview outlines applicable that be used...

Planning algorithms for non-deterministic domains are often intractable in large state spaces due to the well-known “curse of dimensionality.” Existing approaches to address this problem fail to prevent the planner from considering many actions which would be obviously irrelevant to a human solving the same problem. We formalize the notion of affordances [7] as knowledge added to an MDP that pr...

Planning algorithms for non-deterministic domains are often intractable in large state spaces due to the well-known “curse of dimensionality.” Existing approaches to address this problem fail to prevent the planner from considering many actions which would be obviously irrelevant to a human solving the same problem. We formalize the notion of affordances [7] as knowledge added to an MDP that pr...

this paper presents an efficient mechanism to convert sana’ani dialect to modern standard arabic. the mechanism is based on morphological rules related to sana’ani dialect as well as modern standard arabic. such rules facilitate the dialect conversion to its corresponding msa. the mechanism tokenizes the input dialect text and divides each token into stem and its affixes; such affixes can be ca...

New users of virtual environments face a steep learning curve, requiring persistence and determination to overcome challenges experienced while acclimatizing to the demands of avatar-mediated behavior. Concurrent structured self-reports can be used to monitor the personal affective and cognitive struggles involved in virtual world adaptation to specific affordances while performing particular t...

Robotic agents often map perceptual input to simplified representations that do not reflect the complexity and richness of the world. This simplification is due in large part to the limitations of planning algorithms, which fail in large stochastic state spaces on account of the well-known “curse of dimensionality.” Existing approaches to address this problem fail to prevent autonomous agents f...