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Laboratory for Artificial Intelligence in Education

Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network

19.07.2021

In order to make e-learning systems widely available, the majority of new systems are being developed in a form suitable for m-learning. The system implemented in this research uses educational computer games for learning Mathematics in primary schools and has an integrated social network, which is used for communication and publishing game-related content. The system […]

Cognitive Predispositions of Students for STEM Success and Differences in Solving Problems in the Computer Game for Learning Mathematics

12.07.2021

STEM education forms a basis for an innovation-based society, and Mathematics is, besides being an integral part of STEM, also a prerequisite for success in mastering remaining STEM constituents. With the aim of early detection of gifted students, who would be able to follow advanced forms of teaching and be successful in STEM, this paper […]

Detecting Students Gifted in Mathematics with Stream Mining and Concept Drift Based M-Learning Models Integrating Educational Computer Games

21.06.2021

One of the problems of individualized classes which adapt contents and methods of teaching to students of different cognitive capabilities is early and widely available detection of students gifted in certain educational fields. The paper proposes models which are based on stream mining and which can detect students gifted in Mathematics solely on the basis […]

Motivational Elements in Computer Games for Learning Mathematics

26.05.2021

One of the main drawbacks of delivering new teaching lessons in e-learning systems is the lack of motivation for using those systems. This paper analyses which elements of computer games for learning mathematics have a beneficial effect on intrinsic motivation and give students continuous feedback in order to improve the learning process. While the control […]

A Comprehensive Peach Fruit Quality Evaluation Method for Grading and Consumption

17.02.2020

Peaches are a popular fruit appreciated by consumers due to their eating quality. Quality evaluation of peaches is important for their processing, inventory control, and marketing. Eleven quality indicators (shape index, volume, mass, density, firmness, color, impedance, phase angle, soluble solid concentration, titratable acidity, and sugar–acid ratio) of 200 peach fruits (Prunus persica (L.) Batsch “Spring […]

Language guidance tool for improving language knowledge

01.09.2019

In line with EU language policy and its efforts to promote mobility and intercultural understanding, language acquisition and multilingualism represent important elements of the EU’s language policy, promoting the knowledge of 2 languages in addition to the mother tongue. In line with the linguistic background of the EU policy the project “LanGuide” is focused on […]

Translation Error Analysis in TREAT: A Windows App Using the MQM Framework

11.05.2019

The aim of this research paper is to conduct a thorough analysis of inter-annotator agreement in the process of error analysis, which is well-known for its subjectivity and low level of agreement. Since the process is tiresome in its nature and the available user interfaces are pretty distinct from what the average annotator is accustomed […]

Data Stream Mining for Smart Cold Chain Management (SmaCC)

03.01.2019

As a result of declining natural resources and growing populations, perishable food chains face the challenge of increasing food handling efficiency and minimizing post-harvest damage. The project proposes an SmaCC system based on the application of in-depth data flow analysis procedures for the analysis of sensory stream data. The data is generated by the latest […]

Design and Implementation of Anonymized Social Network-based Mobile Game System for Learning Mathematics

01.12.2018

Group work and student collaboration during problem solving sessions are teaching methods which positively affect learning outcomes and socialisation. It is extremely complex to find a way of applying these methods to make them appropriate for and interesting to the new digital generation of students. This paper proposes a model which enables social network collaboration […]

Energy-efficient sensing method for table grapes cold chain management

20.05.2017

Energy efficiency of the wireless sensor network (WSN) is one of the dominating issues in the non-stop table grapes cold chain monitoring. The aim of this paper is to propose an energy-efficient sensing method for the non-stop cold chain management of table grapes in order to reduce the average energy consumption of WSN devices and […]

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Latest Projects

Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques

Compound Flooding in Coastal Rivers in Present and Future Climate

Data Processing on Graphs

North Adriatic Hydrogen Valley

Data Governance and Intellectual Property Governance in Common European Data Spaces – DGIP-CEDS

Latest Research Papers

Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks

A System for Real-Time Detection of Abandoned Luggage

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer

Pravna tehnologija (Legal Tech) i njezina (ne)prikladnost za zamjenu pravne struke

Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers

Latest News

Arian Skoki defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer”

Anna Maria Mihel defended her PhD dissertation topic

Prof. dr. sc. Renato Filjar participated at the meeting of the 31st National Space-Based Positioning, Navigation and Timing US Advisory Board

Presentation of the NPOO project Peoplet

Ana Vranković Lacković defended her doctoral thesis

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