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ICT guide

This guide helps students and teachers to find information on subject areas in Information and Communication Technology.

Information searching and AI

What is artificial intelligence (AI)?

AI is the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity.

Types of AI (European Commission’s definition)

  • Software: virtual assistants, image analysis software, search engines, speech and face recognition systems
  • "Embodied" AI: robots, autonomous cars, drones, Internet of Things

Artificial intelligence has been used in search engine algorithms and database operations for quite some time. However, recent developments in generative AI and the adoption of large language models (LLMs) have been rapid. From the perspective of information retrieval, AI has the potential to condense and organize vast amounts of data, helping users grasp topics and concepts.

Language models, such as ChatGPT, Microsoft’s Bing, and Google’s Bard, rely on the probabilities of word sequences. They do not directly retrieve information from the internet or databases; instead, they generate responses based on these probabilities. Consequently, language models are not suitable for scientific information retrieval. The accuracy of the generated text should always be verified elsewhere, as the sources may be fictional.

It’s important to note that language models do not have access to licensed content behind paywalls, such as subscription-based library resources.

Check the Research literature!

Research: researched information or guesswork?

How to recognize research-based information? 

2. Find search terms with Finto -service e.g. YSO General Finnish ontology 

3. Search in Janet Finna by topic  

Search from Jamk Library collections in Janet Finna with your search terms. Try also these ready-made subject searches: most recent in Qualitative researchMethodologyAcademic writing 

4. Book tips on Research literature

5. Finnish Social Science Data Archive keeps you up to date

Finnish Social Science Data Archive provides access to a wide range of digital research data and services 

Data Management Guidelines 

In the guidelines you will find, among others, detailed advice on preparing a data management plan, guidelines on informing research participants about the processing of their personal data, and practical tips on anonymising both quantitative and qualitative research data. The online guidelines are written by FSD's data service experts. 

Check also Jamk guide in Data management! 

Policy - Utilising Artificial Intelligence at Jamk

Policy - Utilising Artificial Intelligence at Jamk

Instructions for students – students are always responsible for the text or other content they produce and for the sources they use.

Artificial intelligence is not a scientific source and should not be used as a source for a thesis or learning assignments.