Process mining enables organizations to discover, analyze, and enhance their business processes by extracting knowledge from event logs available in current information systems. This research proposes a process mining methodology for developing business and scientific-academic projects, consisting of nine phases: planning and scope, data preprocessing, data processing, flow control analysis, performance analysis, role analysis, results presentation, results publication, and transfer and monitoring. This methodology results from the researcher’s literature review, analysis of published methodologies, and their knowledge and experiences. Future research will apply this process mining methodology to various case studies in business and scientific-academic domains. This research aims to analyze the methodology’s efficiency, its application’s ease and relevance, and the congruence betwe...

Process mining enables organizations to discover, analyze, and enhance their business processes by extracting knowledge from event logs available in current information systems. This research proposes a process mining methodology for developing business and scientific-academic projects, consisting of nine phases: planning and scope, data preprocessing, data processing, flow control analysis, performance analysis, role analysis, results presentation, results publication, and transfer and monitoring. This methodology results from the researcher’s literature review, analysis of published methodologies, and their knowledge and experiences. Future research will apply this process mining methodology to various case studies in business and scientific-academic domains. This research aims to analyze the methodology’s efficiency, its application’s ease and relevance, and the congruence betwe...

This article proposes to identify the attitude and habitual practices of Internet access among university students, in addition to knowing their degree of relationship with age, gender, semester, career and academic performance. For this, a qualitative and correlational research model will be used through a sociodemographic questionnaire and the scale Telephone, tool, territory, information treasure and toy (5T). 813 students from a public university in Mexico participated. The use of the Internet is massive among university students, there are specific differences in the type of content they access. Men, participants enrolled in the second semester and those who are 21 years old score higher when they use the Internet to play and as entertainment compared to their peers. There is no relationship between Internet uses, age and academic performance. The implications of the results found a...

This article proposes to identify the attitude and habitual practices of Internet access among university students, in addition to knowing their degree of relationship with age, gender, semester, career and academic performance. For this, a qualitative and correlational research model will be used through a sociodemographic questionnaire and the scale Telephone, tool, territory, information treasure and toy (5T). 813 students from a public university in Mexico participated. The use of the Internet is massive among university students, there are specific differences in the type of content they access. Men, participants enrolled in the second semester and those who are 21 years old score higher when they use the Internet to play and as entertainment compared to their peers. There is no relationship between Internet uses, age and academic performance. The implications of the results found a...

This article proposes to identify the attitude and habitual practices of Internet access among university students, in addition to knowing their degree of relationship with age, gender, semester, career and academic performance. For this, a qualitative and correlational research model will be used through a sociodemographic questionnaire and the scale Telephone, tool, territory, information treasure and toy (5T). 813 students from a public university in Mexico participated. The use of the Internet is massive among university students, there are specific differences in the type of content they access. Men, participants enrolled in the second semester and those who are 21 years old score higher when they use the Internet to play and as entertainment compared to their peers. There is no relationship between Internet uses, age and academic performance. The implications of the results found a...