## News - **Course Registration (Webreg)** Register for the course [via **Webreg**](https://www.ida.liu.se/webreg-beta/TDDE20-2025-1/PRA1). **Only register if you are taking the course**. **Groups will be generated from registration**. - **Course starts:** September 8, 13:15--15:00, **FE243 Fysikhuset** - **Lecture slides:** [Available here](https://liuonline-my.sharepoint.com/:f:/g/personal/eribe22_liu_se/EoQG8tFmVLJPsSvienXbhlMBhB8U762MsiVl6RgNlqDAFQ?e=EaZKBg) --- ## Submission Deadlines Teams must upload: 1. **Game project** 2. **Screencast URLs to repo** (do not store videos at gitlab, only links in the readme) 3. All materials to their **GitLab repository** **Final submission before Christmas**, either: - **December 16**, or - **January 14** (team's choice) --- ## Changes from 2024 - **Theme:** Designing games for introduction to programming game with e.g. **foggs model** of building daily habbits. --- ## Technical Platform **Allowed platform:** **Godot** (open source) Chosen for compatibility with the research group's continued development. We focus on mobile phone UI via web pages, means compatibility renderer in course **Why Godot?** - Open source, easy to use - Comparable to Unity; - Good for apps/games needing rich visuals and graphics - Short learning curve from web-only backgrounds; very similar to Unity --- ## 2025 Project Focus - Build a **very simple game** focused on teching fundamental concepts in programming. The langue, what happens on a code line, how code runs, (if-statments, loops, functions, varables, Arrays). Specifically in GDScript, but also for python. - Add **motivation design elements** to foster daily routines, based on literature findings. - Focus also on **visual richness and animation** in UI design --- ## First steps - Watch this playlist och youtube for videos on [**juiciness** and **game feel**](https://www.youtube.com/watch?v=216_5nu4aVQ&list=PLC9eBTPQrzDyMxFzEZ5zywi_49RSOyN_l) - Search literature on "cerating daily habbits", fogg-model or other models for fostering daily habbits with scientific motivation, and expreince from gamification projects on developing daily habbits. - Search literature for user experience evaluation on ease-of-use, pick-up-play and immersion - Design a **simple game** implementation (puzzle games, math games..., word games and so forth) and spend more time on the game feel and the motivation design. --- ## Work Process You will: - Work in a group of at least 4 people (randomly generated from group). - Organize and dived your work together. - Provide status report on progress weekly. - Present results at the end of HT1 and HT2. --- ## Course Context - Work for **IDA's Active Lab** (gamification research group) - Projects: - Licensed under **MIT** - Managed on a **Git repository** provided by the course - Designed to explore **daily routine** and **introduction to programming** --- ## Learning Goals - Improve experience with visual development platforms like **Godot** - Improve group work, organizing and vaidating work - Improve working for client - Improve apply **scientific literature** to system development --- ### Prerequisites - Experienced in game/mobile/web development - Able to adapt quickly to new environments - Understanding of **user interaction** and **interaction design** --- ## Development Practices - Organize work for groups and build with fast iteration on testable content - Use suitable tools to divide and track work working in team - **Refactoring**, **clean-up**, and ensuring projects are easy to continue are part of the challenge --- ## Status Reporting - **Weekly:** Write **status report's'** on your gitlab repo - Testing/discussion is self-organized but should be **continuous** - Presentations in HT1 and HT2 for client. - Communication from issue tracking to --- ## Project Deliverables - Short presentation of prototype iterations & key findings from reference group testing - Final product in the repository - **Literature report**: - Theory on "design for daily routines" - How it was applied in the project - Evalaution report - **Screencast** of the game - **Physical demonstration** to the client --- ## Course Evaluation (Past Results) * 2024 : 2.50 (two students: 4, 1) * 2023 : 5.0 (one student) * 2022 : 4.0 * 2021 : 4.5 * 2020 : 2.75 * 2019 : 4.0