ARC (Academic Research Collection) (College Dubin)
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NStEP Case Study of Student Engagement Supporting student-staff partnership in Irish higher education
Peer learning has been an integral focus of the teaching and learning experience at CCT College Dublin since its foundation in 2005. The CCT Student Mentoring Academy is a key institutional student engagement and suc-cess initiative in which students provide peer guidance and support in the context of challenging IT and busi-ness subjects. In recent years, in tandem with the College\u27s membership of the National Student Engagement Programme, the operation of the CCT Student Mentoring Academy is informed by an increased emphasis on student partnership and leadership. Student mentors now inform the design and delivery of mentoring activi-ties in partnership with faculty. Many student mentors now also occupy student representative positions on institutional committees such as the Centre for Teaching and Learning Forum, the Academic Council and the Academic Integrity Committee. One student mentor has assumed the role of Co-Chair of the Academic Integrity Committee with a member of CCT\u27s Management Group. The CCT Student Mentor Academy has proven to be an important mechanism for promoting student partnership and leadership as well as student engagement and success
Analysing Natural Language Processing Techniques: A Comparative Study of NLTK, spaCy, BERT, and DistilBERT on Customer Query Datasets
Sentiment analysis within customer queries stems from its critical role in shaping the perception of a company’s brand. Poor handling of customer queries may lead to adverse consequences. This paper explored and compared the performances of NLP models, including NLTK, spaCy, BERT and DistilBERT on a dataset comprising of customer queries and feedback. The study aimed to evaluate the accuracy and effectiveness of these diverse NLP models in analysing sentiment within customer communications.
The findings reveal distinct patterns among the models. BERT and DistilBERT exhibit greater similarity in their results, as do NLTK and spaCy. Notably, BERT and DistilBERT demonstrate a tendency to categorize queries as predominantly neutral, suggesting potential strengths in handling diverse customer sentiments. This analysis contributes valuable insights into the strengths and weaknesses of various NLP models
UDL in Practice
Trevor explored a number of resources and approaches that support universal design. Resources used or recommended by Trevor include:
Measure how long it takes to read a piece of text Readability calculator Convert Word into an Mp3 3 free short self enrol accessibility courses for educators, managers, and all staff. Finding accessible teaching tools Find your Assistive Technology - answer 3 questions Register for a free 3 day online Assistive Technology Event Inclusive Feedback Publication Choice of Assessment - page 7
CCT Professional Development Bulletin June and July 2022
Bulletin contains details of upcoming professional development events and also the recordings of recent events
Defining financial risks and market trends through predictive data analysis
This project focuses on Dublin short term rental market opportunities, by developing pricing and rate occupancy prediction models based on machine learning approaches to identify patterns that may impact or aid users in making smarter and cost-effective decisions. The concept of this research is to show the financial feasibility of data services, as well as how data science can improve business and operational efficiency
Implementing a Research Strategy at CCT College
This case study explores initiatives undertaken during the academic year 2020/21 to further advance the implementation of the CCT Research Strategy entitled \u27Implementing a Research Strategy at CCT College, 2019-24\u27. Specific initiatives explored in the case study include the expansion of scholarly content on CCT\u27s institutional repository ARC; the establishment of a CCT Research Lunch and Learn series for faculty, and activities undertaken to promote student engagement with the inaugural HECA Student Research Awards