Previous works demonstrated that eye-tracking data supplied meaningful information for reading ability detection, and have gained promising results by employing machine learning methods [1-18]. The eye-tracking based methods of reading ability detection fell into two main categories: the one estimated reading ability with finite number of classes [1-14], providing qualitative evaluation of subjects' reading ability. The other predicted reading ability scores with regression models [15-18], rendering quantitative evaluation of subjects' reading ability. Although the former exhibited satisfactory accuracy in detecting certain classes of abnormalities in reading, it lacked the capability of predicting exact scores of reading ability, which was emphasized in highly interactive educational environments (such as online learning) to make personal and intelligent reactions to subjects. However, precise score prediction of reading ability using eye-tracking data is not easy [15-18], especially when the sample data of subjects are few. In this paper, with few-shot learning strategy, a regression model for score prediction is proposed by combining Long Short Time Memory (LSTM) [19] and light-weighted neural networks. The proposed model exhibits higher accuracy than previous score prediction models tested on the same dataset.

It's not just the teenagers that have to be told to get off the Xbox for dinner anymore - and this new gaming generation may need you to shout even louder. New research has shown that 85 per cent of people over 65 play video games at least once a week, while 36 per cent play every day. Many of these grandparent gamers say that they first picked up the console during the COVID-19 lockdowns, and now use them regularly to keep their mind active. Studies have shown that games can boost the brainpower of the elderly and stave off dementia. Researchers from the University of Saskatchewan say that gaming may improve peripheral attention skills, which are essential for reading ability.

It's often seen as a lazy activity, but new research suggests that playing video games could have a surprising benefit – improving your reading skills. Researchers from the University of Saskatchewan say that gaming may improve peripheral attention skills, which are essential for reading ability. 'Attention is an important part of successful reading,' explained Shaylyn Kress, who led the study. 'Your eyes need to scan across a page in a systematic manner to correctly process each word and sentence, for example. 'Therefore, activities which may impact attentional processes, such as video games, may also have an impact on reading as well.'

You know you have a school you can be truly proud of when it is described by one of your pupils to Ofsted inspectors as'like a big family'. That's the special place we've created at Hawkedale for our pupils to learn and grow. Over the last four years, our school has grown too. We've expanded from being a single form infant school with three classes to a primary school welcoming 146 pupils, with a further 30 pupils due to start in September 2020. This is a journey that an increasing number of schools will undertake.

This past summer, I watched a brilliant lecture series by Richard McElreath on Bayesian statistics. It honestly changed my whole outlook on statistics, so I couldn't recommend it more (plus, McElreath is an engaging instructor). One of the most compelling cases for using Bayesian statistics is with a collection of statistical tools called linear mixed models or multilevel/hierarchical models. It's common that data are grouped or clustered in some way. Often in psychology we have repeated observations nested within participants, so we know that data coming from the same participant will share some variance. Linear mixed models are powerful tools for dealing with multilevel data, usually in the form of modeling random intercepts and random slopes.

Intelligent Tutoring Systems (ITSs) have begun to incorporate game-based components in an attempt to balance the learning benefits of ITSs with the motivational benefits of games. iSTART-ME (Motivationally Enhanced) is a new game-based learning environment that was developed on top of an existing ITS (iSTART). In a multi-session lab-based efficacy study with 125 high school students, those students with a low prior reading ability who were trained by a game-based tutoring system (iSTART-ME) or a traditional intelligent tutoring system (iSTART-Regular) performed significantly better on posttest measures than students assigned to a time-delayed control condition. Additionally, the low reading ability students who interacted with the game-based system had a tendency to gain more than students in the traditional ITS system.