Abstract

In this work we consider an open artificial intelligence game as a matter of study within the lectures of artificial intelligence to combat lack of motivation and increase engagement within the classroom. During formation, students in computer science can deal with moderately complex projects, nevertheless, dealing with such problems is relegated to the Degree Final Project. In this investigation we show the procedural steps of how project-based learning combined with game construction can effectively be used to promote engagement in informatic lectures at university. For the task, we build a 2D game engine and propose students to enroll in factitious research teams with the aim of programming intelligent agents that play the game employing artificial intelligence techniques. The intended principal outcome is to show evidence of the application of project-based learning in artificial intelligence within the lectures, and how it can be combined with game construction to increase motivation in the classroom. Project-based learning has the students learn, organize, and solve challenges while students themselves remain their own responsible for the investigation and process of work. We propose to follow a series of sequential phases that conform a set of milestones that incorporate a project-based learning approach to the lectures. Through this work we show that the use of project-based learning combined with game construction provides reliable evidence that a much deeper understanding about artificial intelligence is attained by students participating in the challenge. Student evaluation questionnaires and final grade results attained by students indicate that students remained more engaged during the semester in comparison to previous semesters in which lack of motivation was reported.

Highlights

  • Research in the field of educational methodologies and their applications suggest that predefined laboratory practices are not as much a significant contributor towards student performance as lecturers can at first imagine [1]–[5]

  • In this work we address the problem of increasing student engagement through the employment of modern approaches such as project-based learning combined with game construction

  • In this setting lecturers build a 2D game engine that represents a classic well-known challenge and propose students to enroll in factitious research teams with the aim of programming intelligent agent players that play and solve the game employing artificial intelligence techniques

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Summary

INTRODUCTION

Research in the field of educational methodologies and their applications suggest that predefined laboratory practices are not as much a significant contributor towards student performance as lecturers can at first imagine [1]–[5]. Based on both, trying to make a more friendly and attractive learning style, and a more engaging learning process, the authors considered the opportunity to incorporate a projectbased learning approach based on game construction to engage students In this setting lecturers build a 2D game engine that represents a classic well-known challenge and propose students to enroll in factitious research teams with the aim of programming intelligent agent players that play and solve the game employing artificial intelligence techniques. From the methodological point of view, this practice aims for students to make a first contact with the world of research, as well as fostering a critical and innovative spirit It intends that groups of motivated students apply the concepts of the Intelligent Systems subject in the specific game context that has been described, and develop an intelligent agent able to efficiently play the game. Taking the dual roles of learners and teachers help students further their knowledge of informatics [46]

Problem exploration
APPLICATION OF THE PBL METHODOLOGY
State-of-the-art and relevant technology analysis
Design of the solution
Implementation of the solution
Testing and evaluation of the solution
Documentation of the solution
Dissemination of documentation
STUDENT ENGAGEMENT EVALUATION
STUDENT’S FINAL GRADE PERFORMANCE ANALYSIS
STUDENT ENGAGEMENT QUESTIONNAIRES
LIMITATIONS OF THE CURRENT WORK
CONCLUSIONS AND FUTURE WORK
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