Manuel Ninaus

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Tenure Track Professor

Graz University of Technology

Austria

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About

Manuel Ninaus is a Tenure Track Professor at the University of Graz, Austria. His research focuses on gamified learning, cognitive enhancement, and the use of game elements to improve educational processes. Recent publications include studies on tackling misinformation through games, developing digital game-based literacy screenings, and examining the effectiveness of adaptive game training for cognitive skills in young adults.

Recent Grants

Grant: Close

Computational Thinking as cognitive foundation for programming

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

Coding to foster Computational Thinking through Playing & Creating: play - modify - create

Open Date: 2018-01-01

Close Date: 2020-01-01

Grant: Close

“Benefits of a game-based cognitive interface for knowledge work – from basic effects and neural correlates to neuropsychological rehabilitation

Open Date: 2017-01-01

Close Date: 2020-01-01

Grant: Close

Cognitive training: The impact of game elements on multiple object tracking

Open Date: 2017-01-01

Close Date: 2019-01-01

Grant: Close

No Pain, No Gain? Investigating Motivational Effects of Game Elements in Cognitive Tasks

Open Date: 2017-01-01

Close Date: 2019-01-01

Articles (17)

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2023

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2023

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2022

Collaborators (15)

Michael Sailer

Professor (W3) for Learning Analytics and Educational Data Mining

University of Augsburg

GERMANY

Manuel Ninaus

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (17)

To enhance or not to enhance: A debate about cognitive enhancement from a psychological and neuroscientific perspective

Addressing boundary conditions of cognitive and motivational effects of gamified learning

Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning

Tackling misinformation with games

Developing a Group-Based Literacy Screening for German Pre-Readers: A Digital, Game-Based Approach

The End is the Beginning is the End: The closed-loop learning analytics framework

Individualisation in cognitive skills training: Essential or superfluous? Examining the effectiveness of an adaptive game for training executive functions in young adults

A digital game-based training improves spelling in German primary school children – A randomized controlled field trial

Game elements enhance engagement and mitigate attrition in online learning tasks

The added value of game elements: better training performance but comparable learning gains

Engaging learners with games–Insights from functional near-infrared spectroscopy

Cross-Task and Cross-Participant Classification of Cognitive Load in an Emergency Simulation Game

The strength and direction of the difficulty adaptation affect situational interest in game-based learning

Theory-based approach for assessing cognitive load during time-critical resource-managing human–computer interactions: an eye-tracking study

Efficacy of the 4F Feedback Model: A Game-Based Assessment in University Education

Does the emotional design of scaffolds enhance learning and motivational outcomes in game‐based learning?

Zwischen Mensch und Maschine: Künstliche Intelligenz zur Förderung von Lernprozessen

Collaborators (15)

Michael Sailer

Heiko Holz

Guilherme Maia de Oliveira Wood

Sylvester Arnab

Jake McMullen

Petros Lameras

Victoria Uren

Detmar Meurers

Richard M Ryan

Cora Parrisius

Stefan E. Huber

Panagiotis Petridis

Antti Koskinen

Kristian Kiili

Silvia Kober

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