H include “Know My Student” detail features, were extracted from SIS, with 20 attributes. Table 1 summarizes these attributes, accompanied by a short description.Data 2021, six,four ofTable 1. Attribute and descriptions exported from SIS. Attribute ModuleCode ModuleTitle Session RollNumber ApplicantName ApplicantMobile CGPA AttemptCount RemoteD-Lysine monohydrochloride Purity student Probation HighRisk TermExceeded AtRisk Description Code from the module in which the student has been registered, using a nominal information kind which include “Module 1” Title of your module in which the student has been registered, with a nominal data form such as “Course 2” Shows the session in which the student has been registered, having a nominal information type like “Session-A” Identification quantity of the student, with a nominal data type for example “21S1234” Name of your student, having a nominal information type which include “Student 1” Mobile number of the student, with a discrete data type like “12345678” Cumulative grade point average in the student, having a discrete information kind including “4.0” The number of attempts within the module, with a discrete information sort for example “1” Either the student is under remote study mode or not, with a nominal information variety for example “Yes/No” Either the student has a backlog of modules to clear, with a nominal data type like “Yes/No” The higher failure rate in a module, having a nominal information form like “Yes/No” Progression rate of the student inside the degree strategy, with a nominal information sort like “Yes/No” Previously failed two or more modules, having a nominal data type like “Yes/No” No matter whether the student been registered by the student success center for any educational D-Isoleucine custom synthesis deficiencies, with a nominal information form including “Yes/No” No matter whether the student been registered by the student results center for any unique desires, having a nominal information type including “Yes/No” A student registered in any other modules in the current semester, with a numeric data kind for instance “1” Prerequisite module registration, having a nominal information variety for instance “Yes/No” Onto which modules the student has been booked for academic integrity violation, like module and academic year, with a nominal data variety for instance “Module 3″AtRiskSSCSpecialNeeds OtherModules PrerequisiteModulePlagiarismHistory2.two. Student Academic Overall performance Ten comma-separated worth (CSV) files of “Result Module Quantity Semester”, containing the all round outcomes within the modules extracted from SIS, and six attributes (like “RollNumber”, “ApplicantName” and “Session”) and three new attributes have been extracted. Table two summarizes these attributes, accompanied by a brief description.Data 2021, 6,5 ofTable 2. Attributes and descriptions exported from SIS. Attribute CW1 CW2 ESE Description Marks obtained by the student in their first coursework, with a discrete information kind such as “86.5” Marks obtained by the student in their second coursework, having a discrete data sort like “86.5” Marks obtained inside the end semester examination, using a discrete information sort like “86.5”2.three. Student Moodle Logs Ten comma-separated worth (CSV) files of “Moodle Module Number Semester” containing nine attributes had been extracted. Table three summarizes these attributes, accompanied by a brief description.Table 3. Attributes and descriptions exported from Moodle. Attribute Time User full name Impacted user Occasion context Element Event name Description Timestamp of every user in the certain module, with a discrete data variety for example “30/06/18, 22:22” Registered name in the user in Moodle when logged in, wit.