Implementing fuzzy analysis to define a set of training methods for wide range of students Danil Dintsis Ph. D. www.ddintsis.com, www.specialist.ru, www.i-mokymas.com info@i-mokymas.com
Brief about the presenter Ph. D. in System Analysis (Doctorate degree, ISCED verified) Ph.D. in Technical management (Candidate degree, ISCED verified) Human – machine interaction specialist Portfolio manager and IT consultant, teacher and coach for 15+ years Brief about the presenter
What is the goal of the presentation Deliver a brief on my experience in defining and launching training methods by implementing fuzzy analysis Find colleagues with common points of common professional interest Improve my scientific and professional experience Deliver projects and trainings as “guest lecturer” VU “guest professor/lecturer” program Impressive results of the Institute of Mathematics and Informatics and the Informatics Methodology dept. Wide range of successful international high education programs in Lithuania and VU What is the goal of the presentation
life Long education in the information society Portfolio lead: Картинки вылетают последовательно life Long education in the information society
Challenges of a lifelong education Learn and work Brief training programs – learn only “what I need here and now” Repeat training material after the training ends Individual training tempo from highly intensive 3-5 all day long studies to one class per week. Decrease travel and time expenses A trainer “is my lead”, a student needs his/her advices and motivation actions не получать избыточных сведений («дайте мне только то, что мне нужно») Different demands for visual/audio/text training materials Labs, practices and cases are the MUST items of the learning process Prestigious certificate for career development Challenges of a lifelong education
Idea: analyze lingual demands with fuzzy sets j*a(i), if an object exists only in a formal model a(i)= a(i), if an object compares to a modelling (1) subject Idea: analyze lingual demands with fuzzy sets
Demand analysis Develop sets according to their analytical structure: Psychological types Computer awareness Course species Student’s location Analyze external restrictions and assumptions Demand analysis
Example: a Set based on student’s psychological portrait Introvert Shy Extrovert Self-organized Sloven Example: a Set based on student’s psychological portrait
s(1) named “Student’s demands to training process” contains, as a partial example: {trainer control, trainer support, use practical cases, control labs, personal tempo, group discussions…} s(2) named “Psychological types of students”: {introvert, extrovert, shy,…} s(3) named “Student’s resource (time and money) constraints”: {decrease travel expenses, less time, convenient schedule, flexible schedule, low training costs,…} s(4) named “Technical demands”: {remote access, desktop broadcasting, collaboration tools, recording, broadcasting system, video services, …} … more than 20 primary sets established totally Examples of other sets
Creating fuzzy elements (primary formalization) A is a primarily formalized fuzzy set, a(i)€A Examples: a(dte-ra) =>s(1)=“decrease travel expenses” U s(4)= “remote access”. a(s-cm)=>s(2)=“shy” U s(4)=“collaboration tools” U s(1)=“control me”. According to the expert estimate and further practice we defined: a(dte-ra)(s1)=90%, a(dte-ra)(s4)=50 a(s-cm)(s1)=20%, a(s-cm)(s2)=80%, a(s-cm)(s(4)=60%. Creating fuzzy elements (primary formalization)
Optimization model H(A) max; H(A)=a[i]|a[i]; a[i], H(a[i])0; a[i], H(a[i]) max; (2) ia[i],ia[i]; f(i)= ii, where , and are fuzzy operators according to [1] Optimization model
Optimization criteria Client satisfaction Costs Trainer’s satisfaction Technical opportunities and constraints Client constraints Optimization criteria
A Optimization distribution: x- real area (customer and organizational attributes) y – imaginary area (technical attributes and restrictions)
Converting optimal point attributes to a set of training features maximum point A has the following attributes (partial set for example): X(A)=({dte-ra), (s-cm), (cs-rts), (eb-dv), (s-ct), (maa-ct),…}. H(A)= √(h(dte-ra))2+(h(s-cm))2+(h(cs-rts))2+(h(s-ct))2+(h(maa-ct))2+j((h(dte- ra))2+(h(cs-rts))2+(h(cs-rts))2++(h(maa-ct))2+(h(eb-dv))2) What do these elements mean in a nature language? It’s simple: Decrease travel expenses using remote access tools; Trainer control of shy students using collaboration tools; Convenient schedule for both students and trainers and stable schedule for trainers and training center; Translation of an electronic board and desktop video; Collaboration tools for shy students; Minimal additional trainer activities due to convenient collaboration tools, Converting optimal point attributes to a set of training features
Result: «inClass» webinar 1 картинка – занятия в классе 2 картинка – занимайся, откуда хочешь 3 можно и на отдыхе)) Result: «inClass» webinar
Main features of “inclass” webinar Students in a class and ay webinar study together and simultaneously Both categories collaborate under trainer supervising Training materials and lab environment are the same Main features of “inclass” webinar http://www.specialist.ru
Webinar inclass advantages For students: Study in a comfortable environment Worth for people with disabilities Decrease travel expenses Communicate with colleagues worldwide For an educational organization: More students in class Wider group activities Recordings fpr second use and for control Trainer self control Webinar inclass advantages http://www.specialist.ru
Other training methods
Combined class & self study Картинки вылетают последовательно. – левая (занятие в классе) Доступ к электронным материалам Общение с группой в кабинете группы Опять вылетает общение в классе (снова занятие с преподавателем) Combined class & self study http://www.specialist.ru
The method main features Provide a kick-off lesson Use webinar recordings and e-materials for self studies One study per week/fortnight in class Common finish The method main features http://www.specialist.ru
Class and self study advantages For students: Worth for busy people Worth for well-organized students The method is more friendly to students It’s cheaper For educational organization: Reuse of webinar recordings and training materials Extend training schedule (for example, once a week on Saturdays or after work day time) Worth for long-term educational programs (MBA, second high education) Class and self study advantages http://www.specialist.ru
Open training http://www.specialist.ru Легенда: 1 картинка – занимаемся в классе, каждый самостоятельно 2 картинка – а можно и по вебинару 3 картинка – доступны всевозможные электронные материалы 4 картинка – интересующим вопросам уделяю больше внимания 5 картинка – тренер всегда ответит на вопросы индивидуально Open training http://www.specialist.ru
Example: open group A single class group contains many virtual groups Number of students, total Number of webinar students Network Infrastructure 6 2 Database administer 3 1 Network security Database indexing 4 … Total 16 Example: open group
Open training advantages For student Personal tempo Worth for introverts and shy people Individual communication with a teacher Appropriate training schedule For educational organization Reuse of webinar recordings and e-learning materials Full classes Individual contact with students Open training advantages http://www.specialist.ru
Teleconferences / Virtual class http://www.i-mokymas.com
Teleconference study advantages For students: No travels Comfortable environment Teacher’s control Visual contact and collaboration with all group members For educational organization Low expenses High level of student’s involvement and control Teleconference study advantages http://i-mokymas.com
training method choice Training methods / Demands Class based Webinar Open training Combined class and self Fast training *** - Cheap training * ** Personal tempo Slovens Introverts Extroverts Live far training method choice
Thank you! . www.ddintsis.com, www.specialist.ru, www.i-mokymas.com info@i-mokymas.com