PDA25 - PSYCHOLOGY OF LEARNING

courses

ID:

PDA25

Duration (hours):

36

CFU:

SSD:

PSICOLOGIA DELLO SVILUPPO E PSICOLOGIA DELL'EDUCAZIONE

Located in:

CHIETI

Url:

Course Details:

ADVANCED EDUCATIONAL SCIENCES/CORSO GENERICO Year: 1

Year:

2025

Course Catalogue:

https://unich.coursecatalogue.cineca.it/af/2025?co...

Date/time interval

Secondo Semestre (01/03/2026 - 31/05/2026)

Course Objectives

Knowledge and Understanding:- Understand psychological processes underpinning learning;- Know the seven principles of learning science and their instructional implications;- Recognize the potential of AI for personalized learning and assessment.
Applied Skills:- Analyse and design effective learning environments;- Apply theoretical principles to create innovative teaching activities;- Integrate AI tools to support learning and metacognition.
Transversal Competencies:- Exercise critical judgement in educational strategy selection;- Communicate effectively in written and oral formats;- Engage in reflective and cooperative learning.

Course Prerequisites

No specific prerequisites required, but basic knowledge of developmental psychology and pedagogy is recommended.

Teaching Methods

Interactive lectures, case study analysis, project-based workshops, discussion of scientific literature, use of the e-learning platform.

Assessment Methods

The exam consists of two parts:• The first involves an oral interview on the first part of the program and the discussion of a thesis related to the implementation of one of the principles of the first part of the program.• The second involves an oral interview on the second part of the program and the discussion of a thesis related to the implementation of one of the principles of the second part of the program.• The two project thesis, each centered on one of the seven principles, will focus on the use of AI-based tools to implement them in educational contexts. Each thesis will be 4–5 pages long and must include concrete examples of how a specific principle can be implemented in the teaching of specific contents using AI-based tools. The thesis must be submitted at least one week before the oral exam.For students attending (at least 70% of the lessons), two intermediate tests are scheduled, one for each part of the course.Final evaluation: arithmetic mean of the grades expressed in thirtieths of the two parts (oral + essay), with quality criteria defined at the beginning of the course.

Texts

Main Textbook:Ambrose, S. A., Bridges, M. W., Di Pietro, M., Lovett, M. C., & Norman, M. K. (2017). *Come impariamo. Sette principi per un insegnamento efficace*. Edited by D. Maknouz. Bologna: Zanichelli.
Supplementary Readings:Scientific articles and selected resources on artificial intelligence and instructional design, provided on the e-learning platform.

The course explores the psychological foundations of human learning with a focus on educational contexts, teacher training, and AI applications in teaching. It is divided into two parts:
Part I – Cognitive and Motivational Foundations of LearningCovers the first four principles from the textbook:1. Prior Knowledge2. Knowledge Organization3. Motivation to Learn4. Development of Skills
Part II – Supporting Learning Through Advanced Teaching StrategiesCovers the last three principles:5. Practice and Feedback6. Personal Development and Classroom Climate7. Self-Directed Learning

Course Language

Italian

More information

Erasmus students may request alternative English-language materials and assessment formats. The course aligns with national teacher training programmes