Academic Year |
2025Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Integrated Arts and Human Sciences Program |
Lecture Code |
WMJ01101 |
Subject Classification |
Specialized Education |
Subject Name |
環境行動論 |
Subject Name (Katakana) |
カンキョウコウドウロン |
Subject Name in English |
Environment and Behavior |
Instructor |
HAYASHI MITSUO,To be announced. |
Instructor (Katakana) |
ハヤシ ミツオ,タントウキョウインミテイ |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
Days, Periods, and Classrooms |
(1T) Thur1-4:Online |
Lesson Style |
Lecture |
Lesson Style (More Details) |
Online (on-demand) |
Lecture-oriented class, PowerPoint will be used. |
Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
Course Level |
5
:
Graduate Basic
|
Course Area(Area) |
24
:
Social Sciences |
Course Area(Discipline) |
06
:
Psychology |
Eligible Students |
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Keywords |
Sleep, biological rhythm, life habit, network science, complex systems, psychological network analysis |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
The purposes of this class it to discuss the effects of various factors of social and physical environments on human behaviors, especially those relating to sleep and network science. |
Class Schedule |
Lesson 1: Homeostasis and Circadian system of sleep (Hayashi) Lesson 2: REM and NREM sleep (Hayashi) Lesson 3: Body temperature and hormone (Hayashi) Lesson4: Sleep and circadian rhythm (Hayashi) Lesson 5: Sleep hygiene (Hayashi) Lesson 6: Sleep evaluation 1 (Hayashi) Lesson 7: Sleep loss (hayasi) Lesson 8: Power nap (Hayashi) Lesson 9: Sleep disorders (Hayashi) Lesson 10: Sleep evaluation 2 (Hayashi) Lesson 11: Heterogeneity and complexity of mental disorders (Kashihara) Lesson 12: Introduction to network science (Kashihara) Lesson 13: Introduction to psychological network approach (Kashihara) Lesson 14: Conducting psychological network analyses (Kashihara) Lesson 15: Further applicability of psychological network approach (Kashihara) |
Text/Reference Books,etc. |
Lesson 1-10 (Hayashi) Hori T. eds, "Sleep Psychology", Kita-ohji syoboh, 2008. Nihon-suimin-kaizen-kyogikai eds, "Suimin-kaizen Gaku, 2nd ed.", Yumani syoboh, 2019. Lession 11-15 (Kashihara) Isvoranu, A. M., Epskamp, S., Waldorp, L., & Borsboom, D. (Eds.). (2022). Network psychometrics with R: A guide for behavioral and social scientists. Routledge. Hofmann, S. G., Hayes, S. C., & Lorscheid, D. N. (2021). Learning process-based therapy: A skills training manual for targeting the core processes of psychological change in clinical practice. New Harbinger Publications. |
PC or AV used in Class,etc. |
Handouts, Audio Materials, Microsoft Stream, moodle |
(More Details) |
Handouts and PowerPoint presentations |
Learning techniques to be incorporated |
Post-class Report |
Suggestions on Preparation and Review |
For Hayashi's section, think about the following throughout your daily life: 1) sleep and its control mechanisms 2) how to measure depth of sleep 3) relationship between thermoregulation and sleep 4) sleep and circadian rhythm 5) sleep environment and sleep habit 6) sleep logs and sleep problems 7) the effects of sleep loss 8) merit and demerit of daytime nap 9) sleep disorders 10) sleep problems of yourself
For Kashihara’s section, use the following tips when preparing for and reviewing the classes: 11) Understand that perspectives integrating multiple dimensions of humans are indispensable to capture mental disorders; 12) Understand that the network science is developing as a multidisciplinary field and examine how social networks can affect our mental health; 13) Identify the strengths and weakness of the psychological network approach, compared to the other subfields of network science and the latent disease model; 14) Conduct psychological network analyses by using the statistical software R, and understand the basics of how to write analysis codes in R; 15) Try interpreting the results of psychological network analyses and think over to which research topics you want to apply the psychological network approach. |
Requirements |
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Grading Method |
Your grade will be based on the following: 1) reports 80% and 2) participation in class discussions 20% |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |