Perspectives to Technology-Enhanced Learning and Teaching in Mathematical Learning Difficulties

Author(s):  
Pekka Räsänen ◽  
Diana Laurillard ◽  
Tanja Käser ◽  
Michael von Aster
2019 ◽  
Author(s):  
Marietta Papadatou-Pastou ◽  
Despoina A. Panagiotidou ◽  
Filippo Abbondanza ◽  
Ursula Fischer ◽  
Silvia Paracchini ◽  
...  

Increased rates of atypical handedness are observed in neurotypical individuals who are low-performing in mathematical tasks as well as in individuals with special educational needs, such as dyslexia. This is the first investigation of handedness in individuals with Mathematical Learning Difficulties (MLD). We report three new studies (N = 134; N = 1,893; N = 153) and two sets of meta-analyses (22 studies; N = 3,667). No difference in atypical hand preference between MLD and Typically Achieving (TA) individuals was found when handedness was assessed with self-report questionnaires, but weak evidence of a difference was found when writing hand was the handedness criterion in Study 1 (p = .049). Similarly, when combining data meta-analytically, no hand preference differences were detected. We suggest that: (i) potential handedness effects require larger samples, (ii) direction of hand preference is not a sensitive enough measure of handedness in this context, or that (iii) increased rates of atypical hand preference are not associated with MLD. The latter scenario would suggest that handedness is specifically linked to language-related conditions rather than conditions related to cognitive abilities at large. Future studies need to consider hand skill and degree of hand preference in MLD.


2022 ◽  
Vol 19 (1) ◽  
pp. 28-54
Author(s):  
Amanda Marina Andrade Medeiros ◽  
Cristiano Alberto Muniz

2018 ◽  
Vol 126 ◽  
pp. 1351-1359 ◽  
Author(s):  
Mirjana Ivanović ◽  
Aleksandra Klašnja Milićević ◽  
Veljko Aleksić ◽  
Brankica Bratić ◽  
Milinko Mandić

Author(s):  
Johan Loeckx

<p>The opinions on MOOCs go to extremes, covering a wide variety of topics, affecting economy, pedagogy, and computer science which makes it hard to keep oversight. Despite the many excellent research reports and articles, an overview of the bigger picture, providing a holistic qualitative summary of the different opinions, is still very welcome. Special attention is given to the broader social, cultural, and technological context in which these developments come about. In this paper, it is discussed how the educational industry  has received a “wake up call” provoking a global discussion on learning and teaching, accordingly disturbing established boundaries between formal and informal learning, public and for-profit education, teachers and learners and quite intriguingly, between software and teaching practices. Golden opportunities for Artificial Intelligence and Technology Enhanced Learning are unfolding, evidenced by the digitalization movement of education, gamification, and the stringent need for massively scalable (and therefore computerized) personal learning experiences.</p>


2017 ◽  
Vol 9 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Diogo Casanova ◽  
António Moreira

This paper presents a comprehensive model for supporting informed and critical discussions concerning the quality of Technology-Enhanced Learning in Blended Learning programmes. The model aims to support discussions around domains such as how institutions are prepared, the participants' background and expectations, the course design, and the learning process. The research that supported the design of this model was framed by a Grounded Theory method, combining different approaches to empirical data collection with a review of evaluation models on aspects of the quality of Online and Distance Learning. Throughout the paper, arguments are made that Higher Education institutions need to be more critical with regard to the use of Technology-Enhanced Learning, and to support it as a counterpart to face-to-face learning and teaching. The model provides a framework for teachers in Higher Education to reflect and discuss the quality of Technology-Enhanced Learning in their Blended Learning programmes.


2003 ◽  
Vol 36 (6) ◽  
pp. 574-582 ◽  
Author(s):  
Evelyn H. Kroesbergen ◽  
Johannes E. H. Van Luit ◽  
Jack A. Naglieri

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