AHA10001 Practicum in Behavioral Sciences

Hiroshima University Syllabus

Japanese

Academic Year 2026Year School/Graduate School School of Integrated Arts and Sciences Department of Integrated Arts and Sciences

Lecture Code AHA10001 Subject Classification Specialized Education

Subject Name 行動科学実習

Subject Name
（Katakana）コウドウカガクジツシユウ

Subject Name in
English Practicum in Behavioral Sciences

Instructor KOMIYA ASUKA,HAYASHI MITSUO,SAKATA KIRIKO,OGAWA KEIKO,SUGIURA YOSINORI,YOSHIMOTO SANAE,KITAKAJI YOKO,KONG GARRY,KASHIHARA JUN

Instructor
(Katakana) コミヤ　アスカ,ハヤシ　ミツオ,サカタ　キリコ,オガワ　ケイコ,スギウラ　ヨシノリ,ヨシモト　サナエ,キタカジ　ヨウコ,コング　ギャリー,カシハラ　ジュン

Campus Higashi-Hiroshima Semester/Term 2nd-Year,  Second Semester,  Second Semester

Days, Periods, and Classrooms (2nd) Fri2-4：IAS A312

Lesson Style Practical Lesson Style
(More Details) Face-to-face

Conducting experiments and writ papers.

Credits 1.0 Class Hours/Week 3 Language of Instruction J : Japanese

Course Level 2 : Undergraduate Low-Intermediate

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 06 : Psychology

Eligible Students

Keywords Computerized experiments, polygraph, EEG , autonomic indices, psychological testing, scale construction

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) Students will acquire the knowledge and skills required to conduct a graduation research project in the Behavioral Science
Program.
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Integrated Arts and Sciences
（Abilities and Skills）
・The ability and skills to collect and analyze necessary literature or data among various sources of information on individual academic disciplines.
・The ability and skills to specify necessary theories and methods for consideration of issues.
・The abilities and skills to summarize one's own research in reports or academic papers, and to deliver presentations at a seminar or research meetings, and to answer questions.

Class Objectives
/Class Outline This course aims to develop fundamental methods and techniques for scientifically and empirically understanding human behavior.
It provides instruction on experimental methods for studying human behavior, approaches to data collection, and scientific writing based on empirical data

Class Schedule Lesson 1: Behavioral Quantitative Methods I (Komiya, Kitakaji, Sakata)
Deciding research topics.

Lesson 2: Behavioral Quantitative Methods II (Komiya, Kitakaji, Sakata)
Creating a category system

Lesson 3: Behavioral Quantitative Methods III (Komiya, Kitakaji, Sakata)
Examining the reliability of a category system

Lesson 4: Multivariate Analysis I (Sugiura)
Learning factor analysis and reliability analysis for questionnaire data

Lesson 5: Multivariate Analysis II (Kashihara)
Learning advanced data analysis methods

Lesson 6: Psychophysical Measurement Methods I (Kong)
Methods for data collection, analysis, and organization

Lesson 7: Psychophysical Measurement Methods II (Kong)
Methods for reporting data

Lesson 8: Cognitive Psychological Experimental Design I (Ogawa)
Lecture on "Computer-based experiments"

Lesson 9: Cognitive Psychological Experimental Design II (Ogawa)
Programming for experiments

Lesson 10: Psychophysiological Methods I (Hayashi)
Autonomic nervous system activity (1): practicum on heart rate and pulse wave

Lesson 11:  Psychophysiological Methods II (Hayashi)
Autonomic nervous system activity (2): practicum on electrodermal activity and respiration

Lesson 12: Psychological Experiments Using AI 1 (Yoshimoto)
Create experimental stimuli

Lesson 13: Psychological Experiments Using AI 2 (Yoshimoto)
Submit a report on the analysis results from the practicum.

Lesson 14: Report Guidance (All)
Review the overall report and consider better writing techniques

Lesson 15: Summary and Feedback (All)
Reflect on what was learned in the practicum and understand its significance and applications

Text/Reference
Books,etc. 宮谷真人・坂田省吾編「心理学基礎実習マニュアル」北大路書房　2008年

PC or AV used in
Class,etc. Text, Handouts, Audio Materials, Visual Materials, Microsoft Teams, Microsoft Stream, Other (see [More Details]), moodle

(More Details) Text, handouts, slides

Learning techniques to be incorporated Discussions, Role Play, PBL (Problem-based Learning)/ TBL (Team-based Learning), Fieldwork / Survey, Post-class Report

Suggestions on
Preparation and
Review Behavioral Measurements: Read specialized books on questionnaire construction carefully.
Multivariate Analysis: Read specialized books on statistical analysis carefully.
Psychophysical Measurements: Read specialized books on psychophysics carefully.
Experimental Design: Use free time to become proficient in computer operation.
Psychophysiological Methods: Read specialized books on psychophysiology carefully.
Psychological Experiments Using AI: Read specialized books on artificial intelligence carefully.
Report Guidance: Carefully read the comments written on the returned report and resubmit it.

Requirements (1) For students planning to conduct a graduation thesis in the Behavioral Science Program (Psychology and Behavioral Sciences), enrollment in this course is a prerequisite.
(2) Due to laboratory capacity limitations, enrollment is capped at 24 students. If the number of applicants exceeds the limit, priority will be given to students in the Human Behavioral Science course group.
(3) Before taking this class, students should have completed the following classes:
1. Basic Experiments in Behavioral Science
2. Seminar on Behavioral Statistics.

Grading Method Overall evaluation will be based on class participation (approximately 50%) and the content of reports submitted as required (approximately 50%).

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it Experimental training sessions will be conducted with the participation of instructors who have practical experience in counseling and mental health fields.

Message Students should not be late for class.

Other

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.

Academic Year	2026Year	School/Graduate School	School of Integrated Arts and Sciences Department of Integrated Arts and Sciences
Lecture Code	AHA10001	Subject Classification	Specialized Education
Subject Name	行動科学実習
Subject Name （Katakana）	コウドウカガクジツシユウ
Subject Name in English	Practicum in Behavioral Sciences
Instructor	KOMIYA ASUKA,HAYASHI MITSUO,SAKATA KIRIKO,OGAWA KEIKO,SUGIURA YOSINORI,YOSHIMOTO SANAE,KITAKAJI YOKO,KONG GARRY,KASHIHARA JUN
Instructor (Katakana)	コミヤ　アスカ,ハヤシ　ミツオ,サカタ　キリコ,オガワ　ケイコ,スギウラ　ヨシノリ,ヨシモト　サナエ,キタカジ　ヨウコ,コング　ギャリー,カシハラ　ジュン
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, Second Semester, Second Semester
Days, Periods, and Classrooms	(2nd) Fri2-4：IAS A312
Lesson Style	Practical	Lesson Style (More Details)	Face-to-face
Conducting experiments and writ papers.
Credits	1.0	Class Hours/Week	3	Language of Instruction	J : Japanese
Course Level	2 : Undergraduate Low-Intermediate
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	06 : Psychology
Eligible Students
Keywords	Computerized experiments, polygraph, EEG , autonomic indices, psychological testing, scale construction
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)	Students will acquire the knowledge and skills required to conduct a graduation research project in the Behavioral Science Program.
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Integrated Arts and Sciences （Abilities and Skills）・The ability and skills to collect and analyze necessary literature or data among various sources of information on individual academic disciplines. ・The ability and skills to specify necessary theories and methods for consideration of issues. ・The abilities and skills to summarize one's own research in reports or academic papers, and to deliver presentations at a seminar or research meetings, and to answer questions.
Class Objectives /Class Outline	This course aims to develop fundamental methods and techniques for scientifically and empirically understanding human behavior. It provides instruction on experimental methods for studying human behavior, approaches to data collection, and scientific writing based on empirical data
Class Schedule	Lesson 1: Behavioral Quantitative Methods I (Komiya, Kitakaji, Sakata) Deciding research topics. Lesson 2: Behavioral Quantitative Methods II (Komiya, Kitakaji, Sakata) Creating a category system Lesson 3: Behavioral Quantitative Methods III (Komiya, Kitakaji, Sakata) Examining the reliability of a category system Lesson 4: Multivariate Analysis I (Sugiura) Learning factor analysis and reliability analysis for questionnaire data Lesson 5: Multivariate Analysis II (Kashihara) Learning advanced data analysis methods Lesson 6: Psychophysical Measurement Methods I (Kong) Methods for data collection, analysis, and organization Lesson 7: Psychophysical Measurement Methods II (Kong) Methods for reporting data Lesson 8: Cognitive Psychological Experimental Design I (Ogawa) Lecture on "Computer-based experiments" Lesson 9: Cognitive Psychological Experimental Design II (Ogawa) Programming for experiments Lesson 10: Psychophysiological Methods I (Hayashi) Autonomic nervous system activity (1): practicum on heart rate and pulse wave Lesson 11: Psychophysiological Methods II (Hayashi) Autonomic nervous system activity (2): practicum on electrodermal activity and respiration Lesson 12: Psychological Experiments Using AI 1 (Yoshimoto) Create experimental stimuli Lesson 13: Psychological Experiments Using AI 2 (Yoshimoto) Submit a report on the analysis results from the practicum. Lesson 14: Report Guidance (All) Review the overall report and consider better writing techniques Lesson 15: Summary and Feedback (All) Reflect on what was learned in the practicum and understand its significance and applications
Text/Reference Books,etc.	宮谷真人・坂田省吾編「心理学基礎実習マニュアル」北大路書房　2008年
PC or AV used in Class,etc.	Text, Handouts, Audio Materials, Visual Materials, Microsoft Teams, Microsoft Stream, Other (see [More Details]), moodle
(More Details)	Text, handouts, slides
Learning techniques to be incorporated	Discussions, Role Play, PBL (Problem-based Learning)/ TBL (Team-based Learning), Fieldwork / Survey, Post-class Report
Suggestions on Preparation and Review	Behavioral Measurements: Read specialized books on questionnaire construction carefully. Multivariate Analysis: Read specialized books on statistical analysis carefully. Psychophysical Measurements: Read specialized books on psychophysics carefully. Experimental Design: Use free time to become proficient in computer operation. Psychophysiological Methods: Read specialized books on psychophysiology carefully. Psychological Experiments Using AI: Read specialized books on artificial intelligence carefully. Report Guidance: Carefully read the comments written on the returned report and resubmit it.
Requirements	(1) For students planning to conduct a graduation thesis in the Behavioral Science Program (Psychology and Behavioral Sciences), enrollment in this course is a prerequisite. (2) Due to laboratory capacity limitations, enrollment is capped at 24 students. If the number of applicants exceeds the limit, priority will be given to students in the Human Behavioral Science course group. (3) Before taking this class, students should have completed the following classes: 1. Basic Experiments in Behavioral Science 2. Seminar on Behavioral Statistics.
Grading Method	Overall evaluation will be based on class participation (approximately 50%) and the content of reports submitted as required (approximately 50%).
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	Experimental training sessions will be conducted with the participation of instructors who have practical experience in counseling and mental health fields.
Message	Students should not be late for class.
Other
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.

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