Annabel LathamManchester Metropolitan University | MMU · Department of Computing and Mathematics
Annabel Latham
PhD MSc BSc(Hons) SMIEEE FHEA
About
41
Publications
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Citations
Introduction
Full text versions of my papers are available from MMU's open access portal e-space at
https://e-space.mmu.ac.uk/view/creators/Latham=3AA=3A=3A.html
Publications
Publications (41)
p>Performance modelling of a deep learning application is essential to improve and quantify the efficiency of the model framework. However, existing performance models are mostly case-specific, with limited capability for the new deep learning frameworks/applications. In this paper, we propose a generic performance model of an application in a dist...
Performance modelling of a deep learning application is essential to improve and quantify the efficiency of the model framework. However, existing performance models are mostly case-specific, with limited capability for the new deep learning frameworks/applications. In this paper, we propose a generic performance model of an application in a distri...
This chapter describes the latest developments in Conversational Intelligent Tutoring Systems (CITS), which are e-learning systems that adopt Computational Intelligence approaches to mimic a human tutor. CITS deliver a personalized, human-like tutorial via natural language. Like expert human tutors, CITS automatically profile a learner’s knowledge...
Building trustworthy AI solutions, whether in academia or industry, must take into consideration a number of dimensions including legal, social, ethical, public opinion and environmental aspects. A plethora of guidelines, principles and toolkits have been published globally, but have seen limited grassroots implementation, especially among small an...
This paper presents the Storybox Methodology which combines a novel framework for structuring knowledge and conversations around a story (D-PAF), with a live chatroom-based training approach that builds the conversation knowledge base via live chatroom interactions. Chatbots have achieved success as intelligent interfaces in education, health, sale...
This paper describes a study on the perceived risk and trust of members of the general public regarding artificial intelligence applications. It assesses whether there is a difference in the perceptions of risk and trust in artificial intelligence expressed by the general public compared with those studying computer science in higher education. We...
Children with Autism Spectrum Disorder (ASD) share certain difficulties but being autistic will affect them in different ways in terms of their level of intellectual ability. Children with high functioning autism or Asperger syndrome are very intelligent academically but they still have difficulties in social and communication skills. Many of these...
Recent scandals arising from the use of algorithms for user profiling to further political and marketing gain have popularized the debate over the ethical and legal implications of using such ‘artificial intelligence’ in social media. The need for a legal framework to protect the general public’s data is not new, yet it is not clear whether recent...
LANA CITS is a Conversational Intelligent Tutoring System that uses the Visual, Auditory, and Kinaesthetic learning style (VAK). It supports learning in autistic pupils, who are studying in mainstream primary schools. Facilitating the learning of these pupils using traditional teaching within mainstream schools is complex and poorly understood. Thi...
For individuals with autism spectrum disorder (ASD), the use of Computer technology to provide intervention in learning is promising. This review focuses on research that has used technology to improve the performance for school aged (10–16) children with ASD. This paper reviews technologies that enhanced intervention, which target three cognitive...
Comprehension is an important cognitive state for learning. Human tutors recognise comprehension and non-comprehension states by interpreting learner non-verbal behaviour (NVB). Experienced tutors adapt pedagogy, materials and instruction to provide additional learning scaffold in the context of perceived learner comprehension. Near real-time asses...
Conversational Intelligent Tutoring Systems (CITS) are agent based e-learning systems which deliver tutorial content through discussion, asking and answering questions, identifying gaps in knowledge and providing feedback in natural language. Personalisation and adaptation for CITS are current research focuses in the field. Classroom studies have s...
Oscar CITS is a multi-agent system that engages in personalised tutoring conversations to help undergraduate students revise SQL. Oscar CITS is modelled on a human tutorial, directing the revision conversation and intervening when students struggle to answer questions by offering support with additional learning material (e.g. examples, videos), hi...
Conversational Intelligent Tutoring Systems (CITS) are agent based e-learning systems which deliver tutorial content through discussion, asking and answering questions, identifying gaps in knowledge and providing feedback in natural language. Personalisation and adaptation for CITS are current research focuses in the field. Classroom studies have s...
Measuring the similarity between strings plays an increasingly important role in many applications such as information retrieval, short answer grading, and conversational agent software. There has been much recent research interest in applying string similarity within Arabic language applications; however, the use of string similarity in Arabic pos...
Intelligent Tutoring Systems personalise learning for students with different backgrounds, abilities, behaviours and knowledge. One way to personalise learning is through consideration of individual differences in preferred learning style. OSCAR is the name of a Conversational Intelligent Tutoring System that models a person's learning style using...
This paper proposes a novel generic architecture for a conversational intelligent tutoring system named Hendrix. Hendrix mimics a human tutor by guiding a learner through a given knowledge domain using natural language. Hendrix converses with a learner to identify gaps in knowledge through questioning, expanding the curriculum when gaps in knowledg...
This paper presents the design and development of a
novel Natural Language Interface to Database (NLIDB). The
developed prototype is called Aneesah the NLIDB, which is
capable of allowing users to interactively/conversely access
desired information stored in a relational database. This paper
introduces the novel conversational agent enabled arc...
Managers of companies are typically not SQL (Structured Query Language) experts but require information 24/7. Therefore, a growing need for Natural Language Interfaces to Databases (NLIDs) has been identified, with a vast amount of research being undertaken in the area. The existing approaches to NLIDs present many weaknesses including the inabilit...
The focus of computerised learning has shifted from content delivery towards personalised online learning with Intelligent Tutoring Systems (ITS). Oscar Conversational ITS (CITS) is a sophisticated ITS that uses a natural language interface to enable learners to construct their own knowledge through discussion. Oscar CITS aims to mimic a human tuto...
Student profiling is central to the move from 'one size fits all' computer-aided learning systems to intelligent tutoring systems which adapt to meet the needs of different students. This paper proposes a new method for profiling student learning styles for a conversational intelligent tutoring system (CITS) which utilizes a Mulitlayer Perceptron A...
This paper proposes a new model for predicting student learning styles for conversational intelligent tutoring systems (CITS). The learning styles are predicted from behavior cues extracted during conversation obtained during automated CITS tutorials. The heart of the model is a fuzzy rule base determined automatically from existing tutorial data w...
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student’s learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and perso...
This paper describes an adaptive online conversational intelligent tutoring system (CITS) called Oscar that delivers a personalised natural language tutorial. During the tutoring conversation, Oscar CITS dynamically predicts and adapts to a student’s learning style. Oscar CITS aims to mimic a human tutor by using knowledge of learning styles to ada...
This paper presents an adaptive online intelligent tutoring system called Oscar which leads a tutoring conversation and dynamically predicts and adapts to a student’s learning style. Oscar aims to mimic a human tutor by using knowledge of learning styles to adapt its tutoring style and improve the effectiveness of the learning experience. Learners...
Oscar is a conversational intelligent tutoring system (CITS) which dynamically predicts and adapts to a student's learning style throughout the tutoring conversation. Oscar aims to mimic a human tutor to improve the effectiveness of the learning experience by leading a natural language tutorial and adapting material to suit an individual's learning...
This paper presents Oscar, a conversational intelligent tutoring system (CITS) which dynamically predicts and adapts to a
student’s learning style throughout the tutoring conversation. Oscar aims to mimic a human tutor to improve the effectiveness
of the learning experience by leading a natural language tutorial and modifying the tutoring style to...
Intelligent tutoring systems are computer learning systems which personalise their learning content for an individual, based on learner characteristics such as existing knowledge. A recent extension to ITS is to capture student learning styles using a questionnaire and adapt subject content accordingly, however students do not always take the time...
In the UK, several laws and regulations exist to protect employees from harassment. Organisations operating in the UK create comprehensive and carefully-worded bullying and harassment policies and procedures to cover the key aspects of each regulation. In large organisations, such policies often result in a high support cost, including specialist t...
This research aims to investigate the detection of social cues (specifically a studentʼs learning style) during tutoring conversations with a conversational agent (CA), and to automatically adapt the tutoring style to suit the student and aid learning. A CA tutor will be developed for a specific subject domain which automatically estimates and adap...
Questions
Question (1)
I'm hoping to build up a repository of short video explanations or animations that explain to a non-expert audience some computational intelligence algorithms. I am doing this as part of my role of Chair of IEEE Computational Intelligence Society Education Multimedia subcommittee and will make links publicly available for use in outreach and public engagement events.
Can anyone recommend good publicly available videos or animations to add to my repository?
Thanks!
