E-Learning Courses Evaluation on the Basis of Trainees' Feedback on Open Questions Text Analysis

Life-long learning is a necessity associated with the requirements of the fourth industrial revolution. Although distance online education played a major role in the evolution of the modern education system, this share grew dramatically because of the COVID-19 pandemic outbreak and the social distancing measures that were imposed. However, the quick and extensive adoption of online learning tools also highlighted the multidimensional weaknesses of online education and the needs that arise when considering such practices. To this end, the ease of collecting digital data, as well as the overall evolution of data analytics, enables researchers, and by extension educators, to systematically evaluate the pros and cons of such systems. For instance, advanced data mining methods can be used to find potential areas of concern or to confirm elements of excellence. In this work, we used text analysis methods on data that have emerged from participants' feedback in online lifelong learning programmes for professional development. We analysed 1890 Greek text-based answers of participants to open evaluation questions using standard text analysis processes. We finally produced 7-gram tokens from the words in the texts, from which we constructed meaningful sentences and characterized them as positive or negative. We introduced a new metric, called acceptance grade, to quantitatively evaluate them as far as their positive or negative content for the online courses is concerned. We finally based our evaluation on the top 10 sentences of each category (positive, negative). Validation of the results via two external experts and data triangulation showed an accuracy of 80%

Children s Acceptance of a Collaborative Problem Solving Game Based on Physical Versus Digital Learning Spaces

[EN] Collaborative problem solving (CPS) is an essential soft skill that should be fostered from a young age. Research shows that a good way of teaching such skills is through video games; however, the success and viability of this method may be affected by the technological platform used. In this work we propose a gameful approach to train CPS skills in the form of the CPSbot framework and describe a study involving 80 primary school children on user experience and acceptance of a game, Quizbot, using three different technological platforms: two purely digital (tabletop and handheld tablets) and another based on tangible interfaces and physical spaces. The results show that physical spaces proved to be more effective than the screen-based platforms in several ways, as well as being considered more fun and easier to use by the children. Finally, we propose a set of design considerations for future gameful CPS systems based on the observations made during this study.Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (project TIN2014-60077-R); Spanish Ministry of Education, Culture and Sport (with fellowship FPU14/00136) and Conselleria d'Educacio, Cultura i Esport (Generalitat Valenciana, Spain) (grant ACIF/2014/214).Jurdi, S.; García Sanjuan, F.; Nácher-Soler, VE.; Jaén Martínez, FJ. (2018). Children s Acceptance of a Collaborative Problem Solving Game Based on Physical Versus Digital Learning Spaces. Interacting with Computers. 30(3):187-206. https://doi.org/10.1093/iwc/iwy006S18720630

The Usability of E-learning Platforms in Higher Education: A Systematic Mapping Study

The use of e-learning in higher education has increased significantly in recent years, which has led to several studies being conducted to investigate the usability of the platforms that support it. A variety of different usability evaluation methods and attributes have been used, and it has therefore become important to start reviewing this work in a systematic way to determine how the field has developed in the last 15 years. This paper describes a systematic mapping study that performed searches on five electronic libraries to identify usability issues and methods that have been used to evaluate e-learning platforms. Sixty-one papers were selected and analysed, with the majority of studies using a simple research design reliant on questionnaires. The usability attributes measured were mostly related to effectiveness, satisfaction, efficiency, and perceived ease of use. Furthermore, several research gaps have been identified and recommendations have been made for further work in the area of the usability of online learning

Multi-inference with Multi-neurules

Neurules are a type of hybrid rules combining a symbolic and a connectionist representation. There are two disadvantages of neurules. The first is that the created neurule bases usually contain multiple representations of the same piece of knowledge. Also, the inference mechanism is rather connectionism oriented than symbolism oriented, thus reducing naturalness. To remedy these deficiencies, we introduce an extension to neurules, called multineurules, and an alternative inference process, which is rather symbolism oriented. Experimental results comparing the two inference processes are also presented