UNIVERSITY OF LODZ - Central Authentication System

Computers in Human Behaviour

General data

Course ID:	0600-LG317C
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	Computers in Human Behaviour
Name in Polish:	Computers in Human Behaviour
Organizational unit:	Faculty of Economics and Sociology
Course groups:
ECTS credit allocation (and other scores):	0 OR 4.00 OR 6.00 (differs over time) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
(in Polish) Ogólne treści programowe:	The course focuses on topics related to cyberpsychology—a branch of psychology that explores human behavior in digital environments and its impact on mental functioning. It covers current research trends concerning the use of the internet and information and communication technologies, including artificial intelligence. During the lectures, various forms of online activity are analyzed, such as digital communication, social media presence, and technology-related addictions, within the framework of psychological and sociological theories.
(in Polish) Kierunek studiów:	(in Polish) LG
(in Polish) Profil programu studiów:	(in Polish) O
(in Polish) Stopień studiów:	(in Polish) 2
(in Polish) Forma studiów:	(in Polish) stacjonarne
Prerequisits:	None.
Short description:	The aim of this course is to present the latest research in cyberpsychology, a branch of psychology that delves into people's online activities and their potential impact on mental well-being. As the new information and communication technologies, including Artificial Intelligence, become increasingly prevalent in today's society, understanding their role is paramount.
Learning outcomes:	Knowledge: After the course the student is able to: 1. Explain basic terms in the field of cyberpsychology (06FB-1A_W01). 2. Characterize an influence of cyberspace on mental well-being and behaviors (06FB-1A_W01). 3. Define opportunities and threats of cyberspace on mental well-being (06FB-1A_W01). Skills: Student is able to: 1. Describe cyberspace influence on mental well-being and behaviors (06FB -1A_U11, 06FB -1A_U12, 06FB -1A_U13) 2. Describe current research areas on cyberpsychology (06FB -1A_U11, 06FB -1A_U12, 06FB -1A_U13) 3. Use the Internet, artificial intelligence tools, and social media in an aware and responsible manner (06FB -1A_U15) 4. Recognize the symptoms of dangerous online behaviors (06FB -1A_U13) Attitudes / Competencies: Student has: 1. Awareness of cyberspace’s influence on well-being and behaviors (06FB -1A_K01) 2. Ability of using the Internet, artificial intelligence tools, and social media in a safe and responsible manner (06FB -1A_K01) 3. Ability of analyzing possibilities and restrictions of cyberspace activities (06FB -1A_K01)

Classes in period "Winter Semester 2025/2026" (past)

Time span:	2025-10-01 - 2026-02-22	Selected timetable range: weekly course term Go to timetable MO TU W W TH FR
Type of class:	Lecture, 28 hours, 90 places more information
Coordinators:	Marta Jabłońska
Group instructors:	Marta Jabłońska
Students list:	(inaccessible to you)
Credit:	Course - (in Polish) Ocena zgodna z regulaminem studiów Lecture - (in Polish) Ocena zgodna z regulaminem studiów
(in Polish) Czy ECTS?:	(in Polish) T
(in Polish) Czy kurs na PZK?:	(in Polish) T
Additional Information:	Student's own work time balance: Expected self-working time: 84 hours, of which: - ongoing preparation for classes: 28 hours, - preparation for passing: 56 hours. Within the hours of own work, the Student is obliged to consult the effects of this work in direct contact with the teacher, during traditional or remote consultations.
(in Polish) Czy IRK BWZ?:	(in Polish) T
Teaching Method:	Lecture.
Method and Criteria of Assessment:	Test.
(in Polish) Metody weryfikacji i oceny stopnia osiągnięcia założonych efektów uczenia się:	Test.
Course Content:	Thematic block concerning online activities supporting personal development, improving mental well-being, and responsible use of cyberspace. Thematic block concerning online activities endangering mental well-being and other users. Basics of psychology and artificial intelligence
Bibliography:	Supplementary: 1. The psychology of social media. Mc Mahon, Ciarán. Routledge Taylor & Francis Group (2019). 2. Social Media Psychology: A Guide To Clinical, Cyberpsychology And Depression. Whiteley, Connor. Independently published (2023). 3. Mindfulness in a Digital World. Harley, Dave. Palgrave Macmillan (2022). 4. Online Resilience and Wellbeing in Young People: Representing the Youth Voice. Phippen, Andy, Street, Louisa. Palgrave Macmillan (2021). 5. Introduction To Cyber Forensic Psychology: Understanding The Mind Of The Cyber Deviant Perpetrators. Khader, Majeed, Chai Whistine Xiau Ting, Neo Loo Seng. World Scientific (2021). Mandatory: Materials provided during a course, including scientific articles from top-rated journals.

Classes in period "Winter Semester 2022/2023" (past)

Time span:	2022-10-01 - 2023-02-19	Selected timetable range: weekly course term Go to timetable MO TU W W TH FR
Type of class:	Lecture, 28 hours, 90 places more information
Coordinators:	Marta Jabłońska
Group instructors:	Marta Jabłońska
Students list:	(inaccessible to you)
Credit:	Course - (in Polish) Ocena zgodna z regulaminem studiów Lecture - (in Polish) Ocena zgodna z regulaminem studiów
(in Polish) Czy ECTS?:	(in Polish) T
Additional Information:	Student's own work time balance: Expected self-working time: 84 hours, of which: - ongoing preparation for classes: 28 hours, - preparation for passing: 56 hours. Within the hours of own work, the Student is obliged to consult the effects of this work in direct contact with the teacher, during traditional or remote consultations.
(in Polish) Czy IRK BWZ?:	(in Polish) T
Teaching Method:	Lecture.
Method and Criteria of Assessment:	Exam.
(in Polish) Metody weryfikacji i oceny stopnia osiągnięcia założonych efektów uczenia się:	Exam.
Course Content:	1. Introduction to cyberpsychology 2. Personality models 3. Social generations 4. Social media use and psychological functioning 5. Virtual reality, gaming, and applications 6. Behavioral addictions 7. Psychological wellness-oriented cyberpsychology 8. Social engineering and manipulation
Bibliography:	Alison Attrill-Smith (ed.) The Oxford Handbook of Cyberpsychology. Oxford University Press1, 2021. Monica T. Whitty. Cyberpsychology: The Study of Individuals, Society and Digital Technologies. BPS Blackwell, 2016. Thomas D. Parsons. Cyberpsychology and the Brain: The Interaction of Neuroscience and Affective Computing. Cambridge University Press, 2017. Mary Aiken. The Cyber Effect: An Expert in Cyberpsychology Explains How Technology Is Shaping Our Children, Our Behavior, and Our Values--and What We Can Do About It. Random House, 2017. Linda Kaye. Issues and Debates in Cyberpsychology. Open University Press, 2021 Andy Phippen, Louisa Street. Online Resilience and Wellbeing in Young People: Representing the Youth Voice (Palgrave Studies in Cyberpsychology). Palgrave Macmillan, 2021. Andrew Dr Power. Cyberpsychology and Society: Current Perspectives. Routledge, 2018. Library BUŁ: Ogonowska, Agnieszka. Cyberpsychologia : media, użytkownicy, zastosowania. Oficyna Wydawnicza Impuls, 2021. Jabłońska, Marta R. Człowiek w cyberprzestrzeni : wprowadzenie do psychologii Internetu. Wydawnictwo Uniwersytetu Łódzkiego, 2018.

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