All entries for May 2024

Building Effective Client Proposals

by Matthew Lucas

Effective pitching to business leaders is a critical skill, particularly for those involved (or aspire to be involved) in consultancy and business transformation. Drawing from extensive experience at IBM and teaching at Warwick Business School, Matthew Lucas has produced a new article that outlines key strategies for students to craft and deliver successful business proposals. The process is broken down into four main stages; research, formulation, development, and delivery:

1. Research: The research phase is crucial for grounding the proposal in a thorough understanding of the client's problem and business context. The article recommends starting by investigating the client and their requirements and discusses the various information sources such as company reports, external messaging, and competitive analysis to gain a comprehensive view.
2. Formulation: In this stage, ideas are developed that address the client's requirements, often utilising a process like Design Thinking. The article recommends a brainstorming session to generate a wide range of ideas, which are then narrowed down in to one or two feasible and high-impact concepts. It describes the key considerations when refining your ideas, including the benefits for various stakeholders, success criteria (using SMART targets), associated costs, potential risks, alternative solutions, ethical considerations, and implementation guidance.
3. Development: The development phase involves creating a presentation or other documentation to convey your ideas effectively. The article recommends a presentation structure that’s designed to be clear and comprehensive, and with the best chance of success.
4. Delivery: Effective delivery of the material is as important as the content itself. This section gives recommendations on how to prepare for and pitch any client presentation, with techniques to control nerves and mitigate the chances of things going wrong on the day.

By following the strategies in this article, students can enhance their ability to influence and persuade business leaders effectively.

Abigail Ball : 28 May 2024 09:00 |  Tags: Communication Consulting Matt Lucas Presentation Skills |  Comments (0) |  Close comments |  Report a problem

Graphical abstract as a form of assessment

Graphical abstract as a form of assessment by Andre Pires da Silva

A graphical abstract is a pictorial summary of the main findings of a research paper. It is typically used by journals to highlight the paper's key points in a concise visual format.

The format of graphical abstracts varies by journal. Some require a single panel where everything is summarised, while others may have multiple panels showing the introduction, methods, results, and conclusions. Graphical abstracts follow specific conventions:

• They have a clear start and end, read from top to bottom or left to right.
• They provide context for the results, such as the type of tissue represented.
• The figures are different from those in the main paper, emphasising new findings.
• They do not include data but show the findings conceptually.
• They exclude excessive details from previous literature and anything speculative.
• They have simple labels and minimal text, with no distracting clutter.

To test the capabilities of generative AI in creating graphical abstracts, an example from a complex paper on nematode sexual forms was used. The original graphical abstract clearly depicted the main points of the paper. However, when generative AI attempted to produce a graphical abstract based on the same paper, the result was confusing, cluttered, and failed to capture the main points accurately.

Analysing this failure through the lens of Bloom's Taxonomy, a hierarchical framework for cognitive skills, can provide insights. AI excels at lower-level skills like remembering and understanding but struggles with higher-level skills like analysing, evaluating, and creating.

While AI can remember and list information it has been trained on, many scientific fields lack sufficient training data, leading to potential inaccuracies. AI can produce abstracts by analysing information, but may miss the most important aspects that require nuance. Creativity, the highest cognitive skill, remains a significant challenge for AI.

In assessing students' understanding in a developmental biology course, various methods were employed, including multiple-choice questions, short answers, and graphical abstracts. The multiple-choice questions required interpreting datasets not directly solvable by AI, as the context was provided during lectures. The short-answer questions involved analysing complex anatomical figures from papers not readily available for AI training.

For the graphical abstract assignment, students were given simple instructions on the format and a word limit for the legend summarising key conclusions. They could use various digital tools or hand-drawings. The assigned paper discussed two theories of embryonic patterning: positional information and reaction-diffusion.

When the paper was submitted to generative AI to produce a graphical abstract, the result was cluttered and nonsensical, failing to represent the main ideas accurately. Even with simplified instructions, the AI-generated graphical abstract remained inadequate.

In contrast, student-produced graphical abstracts effectively communicated the key concepts. Some clearly depicted the relationship between the two theories, whether one was upstream or downstream of the other, or if they interacted in parallel. Others used effective visual representations, although some lacked sufficient guiding text or clarity in conveying the relationship between the theories.

The experience of grading the graphical abstract assignments was efficient, taking only a few minutes per submission. Creating new exams based on this format is straightforward, as instructors can select different research papers for each iteration.

From the students' perspective, the graphical abstract assignment is valuable as it requires them to communicate complex ideas clearly and critically select the most important aspects of a paper.

While companies offer graphical abstract creation services, they are currently time-consuming and expensive, limiting their widespread adoption.

Looking ahead, implementing other assessment formats like short video productions, as done in science communication classes, could further challenge AI capabilities in this domain.

Overall, the graphical abstract assignment provides a valuable assessment tool that requires higher-order cognitive skills, promotes scientific communication, and remains a challenge for current AI systems to generate effectively.

Abigail Ball : 20 May 2024 09:00 |  Tags: Andre Pires Da Silva Assessment Graphical Abstract |  Comments (0) |  Close comments |  Report a problem

AI on Campus: Students' Perspectives podcast

Have a look at this initiative at University of Limerick (Ireland) where students discuss the innovative ways that GenAI tools enhance their educational experience. Topics covered include neurodiversity, Universal Design for Learning, authentic assessment, and day-to-day student pressures.

AI on Campus: Students' Perspectives podcast

Abigail Ball : 13 May 2024 09:00 |  Tags: AI Student Teaching |  Comments (0) |  Close comments |  Report a problem