During the game, kids learn about the shapes of each US state by stacking them. The aim of the game is to collect all 50 states, but in the process you learn about state capitals, geographic locations, and flags. The game is a must have for kids who are elementary school aged. ...
Besides, providing auxiliary scaffolding in the game can increase students’ engagement and interest in the learning process [15]. Studies have also found that learning through games can not only improve learners’ problem-solving skills, but can also enhance their critical thinking skills [16]. ...
Artificial intelligence (AI) is becoming increasingly important, especially in the medical field. While AI has been used in medicine for some time, its growth in the last decade is remarkable. Specifically, machine learning (ML) and deep learning (DL) te
Level VI is entitled “Fluent”. Finishing the book, with all the Anki practice still does not guarantee that you'll be a fluent speaker. Yes, you'll know what a “Pluperfect Subjunctive Tense” is, and can probably rattle it off in a couple of languages, but the door to fluency has ...
Specifically, return gives the sum of the rewards until the game terminates, where the reward is discounted by a factor of γ at each time step. We formally define this as: We then define the action-value function: Note that if the optimal Q function is known for state s', we can ...
Curiosity--Teed (Game-Based Learning, 2008) suggests the once you incorporate the learning objective into the game, you make learning fun, liven up the classroom, and motivate students to learn in the classroom and out of the classroom. Control--Prensky (2001) states, "There is no...
I will not be adding everything: as stated above, I am trying to keep the list concise. Must-read books I've found these books incredibly inspiring: 📖 The Pragmatic Programmer: From Journeyman to Master: hands-on the most inspiring and useful book I've read about programming. 📖 Code...
Plasticity loss is the difficulty of learning new knowledge after the network has converged. To this end, we propose a motivational curriculum learning distributed proximal policy optimization (MCLDPPO) algorithm, through which trained agents can significantly outperform the predictive game tree and ...
We present the application domain, datasets, and languages employed in the works. The text representations and machine learning algorithms. We also summarize and organize the works following a recent taxonomy of SSL. We analyze the percentage of labeled data used, the evaluation metrics, and ...
We develop a coordination game to model interactions between fundamentals and liquidity during unstable periods in financial markets. We then propose a fle... J Danielsson,F Penaranda - 《International Economic Review》 被引量: 10发表: 2011年 The league of Arab States : a study in the dynamics...