Annabel Latham

Annabel Latham
Manchester Metropolitan University | MMU · Department of Computing and Mathematics

PhD MSc BSc(Hons) SMIEEE FHEA

About

37
Publications
7,273
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583
Citations

Publications

Publications (37)
Article
Full-text available
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...
Article
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...
Conference Paper
Full-text available
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...
Chapter
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...
Chapter
Full-text available
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...
Chapter
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...
Conference Paper
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...
Article
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Chapter
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...
Conference Paper
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...
Article
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Article
Full-text available
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...
Article
Full-text available
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...
Conference Paper
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Chapter
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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)
Question
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!

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