The rapid development of educational technologies has facilitated the integration of artificial intelligence (AI)-based platforms into the learning process. Eduaide.ai is a neural system used in education that assists teachers in developing lesson plans, providing students with personalized assignments, and enhancing reading literacy. This study aims to evaluate the effectiveness of the Eduaide.ai platform in improving reading literacy and higher-order thinking skills. We, the teachers and researchers of the Nazarbayev Intellectual Schools network, have created various unique educational resources faster than ever before using the Eduaide AI tool. Our research question is How effective is the use of the Eduaide.ai neural system in developing higher-order thinking skills in reading literacy?  Relevance of the research: The effectiveness of artificial intelligence in developing higher-order thinking skills in the PISA international exam in reading literacy; Evaluation of the capabilities of the Eduaide.ai neural system in developing analysis, synthesis and text evaluation skills.

To determine the effectiveness of the Eduaide.ai neural system in developing reading literacy and higher-order thinking skills, various methods and approaches are used. These methods allow for quantitative and qualitative analysis of student performance. Pre- and post-testing compared students’ reading literacy and higher-order thinking skills before and after training. Students were given PISA-style texts and questions and assessed for their ability to understand, interpret, and apply the information they read. After using Eduaide.ai, the same students were given a test of similar difficulty. The collected data was processed by comparing the results of the two tests. The students’ test results were processed using the mean score, standard deviation, Student’s t-test, and ANOVA methods. As a result, a qualitative picture of changes in students’ thinking levels was revealed. Eduaide.ai's neural system was used to assess and improve students' higher-order thinking skills (HOTS) - cognitive skills that include analysis, evaluation, problem solving, and creative thinking. Using these research tools has resulted in improved reading literacy, meaning students are better able to understand text, identify main ideas, and compare information. Higher-order thinking skills are developed: skills for analysis, evaluation, and reasoning are strengthened. Improved learning efficiency: increased student engagement through personalized learning using a neural network. Optimized teacher work: Eduaide.ai reduced the time teachers spend preparing assignments, allowing them to spend more time on creative teaching methods. We offer you our research work using the Eduaide platform, a completely student-centered and cognitive skills assessment for students. Eduaide.Ai is FERPA and COPPA compliant. This type of AI can be called generative AI. In other words, the model creates unique content. There are different types of generative AI — diffusion models for image generation and large language models (LLM) for natural language processing. In addition, there are different types of LLM. For example, we at Eduaide used the OpenAi API and specified the model to be created within explicit instructional design parameters.

The study lasted for six weeks. In the seventh week, the post-test was conducted. The post-test items were the same as the pre-test items; however, they were rearranged to give them a new look and to avoid memory effects. The post-test results were recorded and used to present information about the students’ performance and interest in mathematics according to gender and treatment group. SPSS version 28 software was used to analyze the collected data. The mean (-X) and standard deviation (SD) were used to answer the research questions, and analysis of covariance (ANCOVA) was used to test the hypotheses at a significance level of 0.05. The reason for choosing ANCOVA was to establish the equality of the baseline data from the pre-test before the study began. ANCOVA helped to establish the covariates between the pre-test and post-test. The results showed that the students who were taught languages using the Eduaide.Ai platform had an increased interest in the language concepts compared to their friends who were taught the same concept using the traditional method. Accordingly, further testing of hypothesis three established that the students in the experimental group had a higher level of interest in the concept of the Kashchakh language than their peers in the control group. Thus, it was concluded that teaching and assessing with the Eduaide.Ai neural system successfully increased the students’ interest in the language concept under study. Moreover, the results of the study showed that male students showed more interest in languages than female students when the Eduaide.Ai neural system was used

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