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Interactive Machine Learning: Managing Information Richness in Highly Anonymized Conversation Data
(Springer, 2019)
This case study focuses on an experiment analysing textual conversation data using machine learning algorithms and shows that sharing data across organisational boundaries requires anonymisation that decreases that data’s ...
Business Impacts of Technology Disruption – A Design Science Approach to Cognitive Systems’ Adoption Within Collaborative Networks
(Springer, 2018)
Digitalisation and data are stated to be significant drivers of change, technology disruption, and new business. The purpose of this study is to explore the business impacts of technology disruption, more specifically the ...
A strategy of start-up: How to manage a new business as an agile learning process?
(Haaga-Helia ammattikorkeakoulu, 2021)
In this study, we examined how to manage start-ups experiencing a high level of uncertainty in emerging markets, and what are the principles of agile strategic learning in a start-up? Pragmatic literature on start-ups has ...
Mapping the Future Curriculum: Adopting Artificial Intelligence and Analytics in Forecasting Competence Needs
(Academic Conference Publishing International, 2019)
One of the biggest challenges in the design of a work-related curriculum is to make sure that the curriculum is up-to-date and uses the same vocabulary as the work setting. This may sound easy, but if almost any curriculum ...
Adopting AI-enhanced chat for personalising student services in higher education
(Haaga-Helia ammattikorkeakoulu, 2021)
In this study, we examine how to adopt AI-based conversational chat in higher education and discuss our experiences and findings in integrating external datasets with machine learning-based chat conversations. The adoption ...
Embedding Virtual Objects Into the Physical World: Student-Centred Augmented Reality Concept Design and Development
(Oslo and Akershus University College, Learning Centre and Library, 2021)
In the contemporary world where almost, everything has moved towards digitalisation, the combination of virtual and physical worlds has proved to be an efficient approach in an educational context. Since the application ...
Forecasted Self: AI-Based Careerbot-Service Helping Students with Job Market Dynamics
(MDPI, 2023)
In this article, we introduce an AI-enhanced study planning solution named Careerbot, which is a service designed to help students with their “forecasted self”. We define a new term “forecasted self” to mean a future-oriented ...