DIDACTICS OF INFORMATICS

Course Information
TitleΔΙΔΑΚΤΙΚΗ ΤΗΣ ΠΛΗΡΟΦΟΡΙΚΗΣ / DIDACTICS OF INFORMATICS
CodeNET-07-03
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorStavros Demetriadis
CommonNo
StatusActive
Course ID40002956

Programme of Study: Undergradute Studies - School of Informatics (2015-today)

Registered students: 27
OrientationAttendance TypeSemesterYearECTS
Information SystemsElective Courses745
Digital MediaElective Courses745
Communication, Networks And Systems ArchitectureElective Courses745
Information And Communication Technologies In EducationCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)745
General Common DirectionElective Courses745

Class Information
Academic Year2015 – 2016
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
600004938
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Good knowledge of Greek language. Good knowledge of algorithmic and structured programming. Fluency in the study of texts in English.
Learning Outcomes
Cognitive: principles for the organization of teaching and teaching of Informatics in primary and secondary education. Learning general methods of teaching algorithmic and programming issues. Learn innovative methods for programming teaching (educational robotics, haptic interfaces). Skills: Learning software for teaching informatics in Elementary, High School. Learning programming language Logo. Organization of teaching using worksheets. Handling educational robot. Organization (design and implementation) of teaching on Informatics at school environment (Primary or Secondary Education).
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Appreciate diversity and multiculturality
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Informatics in education (as a discipline and educational media). Curriculum of Informatics in Greek education. Computer science in lower high school, the Lyceum and Vocational Education (main axes of teaching, Curriculum, Directions of studies). Theoretical framework of informatics didactics (Didactical transformation, Mental models and representations of Informatics, Types of knowledge in programming. The concepts of variable, control structure and loop structure). selection and repetition). Didactic methods for teaching programming concepts: Conceptual maps, Logo-like environments, Role Playing, Analogy-based teaching of concepts Informatics, Game-based learning computer games), Educational Robotics, Tangible interfaces. Collaboration for learning programming (pair programming). Computational Thinking. Contemporary technological environments for introductory programming and computational thinking.
Keywords
Didactics of Informatics, Representations, Educational robotics, Computational Thinking
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • Book
  • Worksheets
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Description
(a) Using appropriate software for teaching algorithmic thinking and programming (b) Using PCs in lab environment for teaching the use of software tools (c) Communicating with students with email and course forum
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Tutorial130.4
Written assigments561.9
Exams30.1
Literature Study391.3
Total1505
Student Assessment
Description
(1) Written examination (50%): evaluating the adequacy of basic knowledge of students and the ability to design appropriate solutions / methods for a variety of didactic scenarios in the field of teaching Computer Science. Closed-type questions (multiple choice, matching, etc.) and open-ended (short essay). (2) Lesson and worksheets design (50%): evaluating the students' skills regarding their ability to implement current didactical models and develop/use worksheet for teaching in the programming domain and supporting the development of computational thinking.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Formative, Summative)
  • Performance / Staging (Formative)
  • Report (Summative)
Bibliography
Course Bibliography (Eudoxus)
1) «Εισαγωγή στη Διδακτική της Πληροφορικής», Κόμης, Β.Ι. Εκδόσεις Κλειδάριθμος, Αθήνα, 2005. (ISBN 960-209-838-4) 2)«Διδακτικές Προσεγγίσεις και Εργαλεία για τη Διδασκαλία της Πληροφορικής». Γρηγοριάδου Μ. κ.ά.. Εκδόσεις Νέων Τεχνολογιών, Αθήνα. 2009. (ISBN 978-960- 6759-23-9)
Additional bibliography for study
Επιστημονικά/ερευνητικά άρθρα όπως: >> Φεσάκης, Γ. (2008). Τεχνολογίες Πληροφορικής και Επικοινωνιών στην προσχολική εκπαίδευση, διαστάσεις και προοπτικές, 4ο Πανελλήνιο Συνέδριο «Διδακτική της Πληροφορικής», Πάτρα, 2008. >> Ατματζίδου, Σ., Μαρκέλης, Η. & Δημητριάδης, Σ (2008). Χρήση των LEGO Mindstorms στο Δημοτικό και Λύκειο: Το παιχνίδι ως έναυσμα μάθησης. 4ο Πανελ- λήνιο Συνέδριο «Διδακτική της Πληροφορικής», Πάτρα, 2008.
Last Update
03-06-2016