the application of deep learning and planning techniques, with the aim of constructing generalized plans capable of solving multiple problem instances. We construct a Deep Neural Network that, given an abstract problem state, predicts both (i) the best action to be taken from that state and (ii) the generalized “role” of the object being manipulated. The neural network was tested on two classical planning domains: the blocks world domain and the logistic domain. Results indicate that neural networks are capable of making such
predictions with high accuracy, indicating a promising new framework for approaching generalized planning problems.
This study aims to produce efficient and effective group writing workshops for students within the Barrett Honors College at Arizona State University. To balance two opposing theories in writing center pedagogy - the direct instruction theory and the student-led/ collaborative theory - this study also aims to determine whether a balanced combination of these approaches in writing workshops will increase student confidence in their writing abilities. Several writing workshops were held over Zoom utilizing a combination of direct teaching methods and collaborative techniques. Students were then surveyed to determine whether they found the workshops helpful, learned new skills, and/or grew more confident in their abilities. The student responses proved the hypothesis that a combined approach leads to an increase in student confidence.
A reflection on my diverse educational experience as a sports journalism student, key lessons I learned about specific forms of communication and content creation within social media, written reporting and radio/podcasting and the demand for versatility among all modern journalists.
Studies have previously found a significant relationship between student writing center usage and demographic factors including gender, GPA, and English-language proficiency (Salem, 2015). Additional research has been conducted on writing center outcomes and student conceptions and misconceptions of writing centers as academic resources. However, previous scholarship has attested to the need for continuous research into writing center usage patterns and the factors that affect them. This will allow centers to make the necessary changes and improvements to become more accessible and inclusive for the benefit of all students. The present research contributes to the ongoing discussion about why students choose to use or not use the writing center and how their identities and pre-existing ideas about the center inform this decision. Further, it addresses research gaps by surveying students in an honors college setting at a large public university and considering new decision-making factors such as race, mental health, and social stigma. By comparing students demographics and impressions of the Barrett Writing Center (BWC) on the ASU campus, the study draws conclusions about the significant gap between positive perception and usage, the influence of social anxiety and stigma amongst honors students, the successes and failures of tutoring for second language English speakers, and the benefit derived by students who attend multiple writing center sessions. Suggestions to improve the BWC and guide future research are offered based on these observations and significant trends in the data.
American Sign Language (ASL) is used for Deaf and Hard of Hearing (DHH) individuals to communicate and learn in a classroom setting. In ASL, fingerspelling and gestures are two primary components used for communication. Fingerspelling is commonly used for words that do not have a specifically designated sign or gesture. In technical contexts, such as Computer Science curriculum, there are many technical terms that fall under this category. Most of its jargon does not have standardized ASL gestures; therefore, students, educators, and interpreters alike have been reliant on fingerspelling, which poses challenges for all parties. This study investigates the efficacy of both fingerspelling and gestures with fifteen technical terms that do have standardized gestures. The terms’ fingerspelling and gesture are assessed based on preference, ease of use, ease of learning, and time by research subjects who were selected as DHH individuals familiar with ASL.
The data is collected in a series of video recordings by research subjects as well as a post-participation questionnaire. Each research subject has produced thirty total videos, two videos to fingerspell and gesture each technical term. Afterwards, they completed a post-participation questionnaire in which they indicated their preference and how easy it was to learn and use both fingerspelling and gestures. Additionally, the videos have been analyzed to determine the time difference between fingerspelling and gestures. Analysis reveals that gestures are favored over fingerspelling as they are generally preferred, considered easier to learn and use, and faster. These results underscore the significance for standardized gestures in the Computer Science curriculum for accessible learning that enhances communication and promotes inclusion.