Here, we have come up withSocial Science Class 10 Sample Paperso that students can prepare well for the final board exams. These sample papers are prepared as per the new pattern ofClass 10 Board examsand these are beneficial for those students who find it difficult to get sample papers in...
Download previous year question papers of Class 10 Social Science MP Board to understand the exact question paper pattern. Solving it helps in boosting confidence levels.
CBSE Class 10 Social Science Sample Papers -- 2005 to 2014 -- PDF
Also, another six experts were FC researchers selected based on their publications in ResearchGate and the Web of Science database. The experts were contacted via cell phone and email to get their approval to participate and also to explain to them the procedures of the evaluation and the ...
The science of effective learning with spacing and retrieval practice Article 02 August 2022 L2 writer engagement with automated written corrective feedback provided by ChatGPT: A mixed-method multiple case study Article Open access 26 August 2024 Exploring the impact of artificial intelligence ap...
In addition, it is worth mentioning that graduate students majoring in computer science were more comfortable with online learning and had sufficient technological competence and skills when compared to others such as social science or medical students. More studies need to scrutinize such comparative ...
Z. (2024). Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills. arXiv preprint arXiv:2410.04253. Posted in Causal Inference, Decision Analysis, Miscellaneous Science, Miscellaneous Statistics, Teaching | 25 Replies 5 different reasons why it’s ...
who negotiated Reuters first AI licensing deals. In addition, members from the Data Science team created the Predictive Forecasting solution used by Tax Products to plan our infrastructure and ensure we provide robust application availability to our Tax and Accounting Professionals (TAP) customers during...
In this paper, we design and apply the Long Short-Term Memory (LSTM) neural network approach to predict several financial classes’ time series under COVID-19 pandemic crisis period. We use the S&P GSCI commodity indices and their sub-indices and con
(2006). Literature searches were conducted using the Google scholar search engine and extracted from Scopus, Web of science, ERIC, ScienceDirect, and JSTOR databases using relevant keywords related to competences in organizational and individual contexts. The following keywords were used as starting ...