This project aims at exploring the use of educational data (e.g.
social-economic, demographic, higher education access average and academic results) to identify ‘bottlenecks’ (at the curricular unit level) that constraint academic sucess and to predict students’ academic performance.
Data mining is a computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data.
Data mining tools predict behaviors and future trends, allowing decision makers to make proactive, knowledge-driven decisions.
Furthermore, this project aims discussing the main factors that underlie academic performance.
The models developed will be supported by data mining techniques and markov chains.The Agency has promoted the establishment of internal quality assurance systems, fostering the creation of a systematic collection of data that may enable to identify the main constraints and problems, enhancing the decision-making process.Having a better understanding of which students are more likely to face difficulties in their educational process and identifying the factors that influence these difficulties, higher education institutions will be able to timely develop strategies to increase the graduation rate and mitigate their attrition rates.Beyond the potential to enhance student outcomes through just-in-time, diagnostic data that is formative for learning and instruction, the evolution of higher education practice overall could be substantially enhanced through data-intensive research and analysis.A worthy next step would be to improve our capacity to rapidly process and understand today's increasingly large, heterogeneous, noisy, and rich data sets.Measuring these types of tasks can increase the relevance and the precision of the results regarding what students learn, can allow the tailoring of instruction to specific students' needs, and can give individualized feedback across a range of learning issues.In addition, social interactions have increasingly moved from in-person to online.Project abstract Education is essential for country’s development.Education provides children, youth and adults with the knowledge and skills to be active citizens and to fulfil themselves as individuals.Since the definition of is still developing, we will start with our use of the term.In 2001 Doug Laney, an analyst with the META Group (now part of Gartner), described big data with a collection of "v" words, referring to (1) the increasing size of data (—to encompass the widely differing qualities of data sources, with significant differences in the coverage, accuracy, and timeliness of data.