scenario_id int64 1 10 | topic stringclasses 10
values | condition stringclasses 2
values | response stringlengths 1.34k 1.78k | electricity_score float64 | connectivity_score float64 | computing_score float64 | sustainability_score float64 | contextual_relevance_score float64 | total_score float64 | scoring_justification float64 |
|---|---|---|---|---|---|---|---|---|---|---|
1 | Digital library | implicit | To implement an AI-powered digital library at a university in Lesotho, the plan must be practical, sustainable, and aligned with the university's educational and research goals. Below is a **practical implementation plan** for an AI-powered digital library:
---
## **1. Define Objectives and Scope**
### **1.1. Object... | null | null | null | null | null | null | null |
1 | Digital library | explicit | To implement an AI-powered digital library at a university in Lesotho with the constraints of **unreliable electricity**, **intermittent internet**, **limited IT staff**, and a **small budget**, the plan must be **pragmatic, sustainable, and adaptable**. Here's a **practical implementation plan**:
---
## **1. Define ... | null | null | null | null | null | null | null |
2 | Research assistant | implicit | To address the university's need for an AI research assistant that helps postgraduate students search and summarize academic literature, a **custom AI-powered solution** can be implemented. This solution should combine **natural language processing (NLP)**, **information retrieval**, and **automated summarization** to ... | null | null | null | null | null | null | null |
2 | Research assistant | explicit | For a university with **unreliable internet**, **limited computing capacity**, and a **small IT team**, the goal is to **implement an AI research assistant** that is **feasible, cost-effective, and sustainable**. Here's a **feasible solution** tailored to these constraints:
---
## ✅ **Feasible AI Research Assistant S... | null | null | null | null | null | null | null |
3 | Offline access | implicit | To implement an AI learning support system that allows students to access academic assistance outside of normal class hours, the university should follow a structured and comprehensive implementation plan. Below is a detailed implementation plan, divided into phases and key components:
---
## **Implementation Plan fo... | null | null | null | null | null | null | null |
3 | Offline access | explicit | To address the challenge of providing reliable AI learning support to students during off-peak hours when internet access is unreliable and electricity is frequently cut, the university can implement a **hybrid offline and low-bandwidth AI learning support plan**. This plan combines **offline resources**, **low-bandwid... | null | null | null | null | null | null | null |
4 | Digitisation | implicit | To digitize historical documents and make them searchable using AI, the university library can follow a structured workflow that combines traditional digitization techniques with modern AI technologies. Here's a recommended workflow:
---
## **Workflow for Digitizing Historical Documents and Making Them Searchable Usi... | null | null | null | null | null | null | null |
4 | Digitisation | explicit | To digitize historical documents using AI, while working with the constraints of **one scanner**, **limited storage**, **unreliable power**, and **only two staff members**, the workflow must be **efficient, scalable, and resilient**. Here's a **realistic and practical workflow** that balances these constraints:
---
#... | null | null | null | null | null | null | null |
5 | Institutional repository | implicit | Establishing an institutional repository for theses, dissertations, and research publications is a strategic initiative that supports open access, enhances institutional visibility, and promotes research dissemination. Here's a comprehensive recommendation for a solution:
---
## **Recommended Solution: Institutional ... | null | null | null | null | null | null | null |
5 | Institutional repository | explicit | Given the constraints of a small university with a limited budget, two IT staff members, unreliable connectivity, and no dedicated server administrator, the goal is to implement a **sustainable institutional repository (IR)** solution that is **cost-effective, easy to manage, and resilient to connectivity issues**.
--... | null | null | null | null | null | null | null |
6 | AI training | implicit | Certainly! Here's a comprehensive **Training Programme for Lecturers on Responsible Use of Generative AI**:
---
# **Training Programme: Responsible Use of Generative AI for Lecturers**
## **Programme Overview**
This training programme is designed to equip university lecturers with the knowledge, skills, and ethical ... | null | null | null | null | null | null | null |
6 | AI training | explicit | To train lecturers to use generative AI responsibly, especially in a context where digital literacy varies and internet access may be limited, the program must be **accessible, flexible, and tailored** to the diverse needs of the faculty. Here's a proposal for an **accessible AI literacy and responsible use program**:
... | null | null | null | null | null | null | null |
7 | Energy forecasting | implicit | To help a university effectively forecast electricity demand and improve energy management using AI, the following approach is recommended:
---
## **Approach: AI-Driven Electricity Demand Forecasting and Energy Management System**
### **1. Data Collection and Preprocessing**
- **Data Sources:**
- Historical electr... | null | null | null | null | null | null | null |
7 | Energy forecasting | explicit | Given the constraints of **incomplete historical data**, **intermittent electricity**, **limited computing resources**, and **no specialist machine-learning team**, the university should adopt a **feasible, practical, and cost-effective** approach to AI-based electricity demand forecasting. Here's a structured recommen... | null | null | null | null | null | null | null |
8 | Research data | implicit | Creating a **Research Data Management Service (RDMS)** for academic staff is essential for ensuring data integrity, compliance, and efficient research operations. Below is a **comprehensive plan** to recommend for the university in developing such a service.
---
## **Research Data Management Service (RDMS) Plan**
##... | null | null | null | null | null | null | null |
8 | Research data | explicit | Given the constraints of limited storage, a small budget, intermittent internet, and no dedicated data management specialist, the university needs a **sustainable, cost-effective, and practical research data management plan**. Here's a structured recommendation:
---
## **1. Define Data Management Needs and Priorities... | null | null | null | null | null | null | null |
9 | Cloud services | implicit | Migrating a university's digital research services to the cloud requires a well-structured, secure, and scalable strategy. Here's a comprehensive **migration strategy** tailored for a university, focusing on research services:
---
## **University Cloud Migration Strategy for Digital Research Services**
### **1. Asse... | null | null | null | null | null | null | null |
9 | Cloud services | explicit | To help the university migrate its digital research services to the cloud while addressing the challenges of **unpredictable connectivity**, **limited recurring budget**, **data protection obligations**, and **limited technical support**, a **phased, hybrid cloud strategy** is recommended. This approach balances cost, ... | null | null | null | null | null | null | null |
10 | Local AI deployment | implicit | To deploy an open-source language model for academic research at a university, the implementation plan should be comprehensive, considering technical, ethical, legal, and operational aspects. Below is a recommended implementation plan:
---
## **University Open-Weight Language Model Deployment Plan**
### **1. Objecti... | null | null | null | null | null | null | null |
10 | Local AI deployment | explicit | Given the constraints of limited GPU capacity, unreliable electricity, a small technical team, and a restricted budget, the university must adopt a **realistic, cost-effective, and sustainable implementation plan** for deploying an open-source language model to support academic research. Here's a step-by-step plan:
--... | null | null | null | null | null | null | null |
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