The Problem. The purpose of this study was to asssess and forecast the implications Artificial Intelligence Systems would have on teaching methods, teacher training, curriculum and teacher-student roles in public education.
Method. A three round Delphi Study was conducted. The Delphi Panel included 23 participants from the areas of A. I. research, computer using teachers from universities and high schools and writers in the field.
Results. (I) Teacher Training and Reaction. (1) Resistance to the introduction of Artificial Intelligence Systems will occur. (2) Additional training for teachers in computers is likely. (3) The structure of teacher training will change from informational transmittal to learning how people learn and the structure of what they know. (II) Curriculum. (1) Schools will not be radically changed. The goals of education and the importance of reading and writing would remain. (2) Students would not be learning a large portion of their lesson at home. (3) Elitist separation by subject matter or social adjustment would not occur. (4) The classroom would change. Multi-leveled, multi-topical learning centers would be developed where students could learn at their own pace. Changes in testing would occur along with deeper student involvement with subject matter. (5) New subjects and increases in strategy development and problem solving would occur as a result of A. I. systems in the classroom. (6) The A. I. system would become an indispensable tool with frequent upgrade of use skills and development of new subjects occurring. (III) Teacher/Student Roles. (1) Teacher roles would not change from deliverance of knowledge and skills to parent, counselor or psychologist. (2) A. I. systems would not fill the role of parent, counselor or psychologist nor transmit values. (3) The role of teachers would change from learning director to co-problem solver. (4) A. I. systems would greatly assist teachers in improving learning experiences, diagnosing problems and assisting students with learning handicaps.
Recommendations
Pedagogy Play: Virtual Instructors for Wearable Augmented Reality during Hands-On Learning and Play
DIGITEL '08: Proceedings of the 2008 Second IEEE International Conference on Digital Game and Intelligent Toy Enhanced LearningThis workshop will expose participants to how autonomous Virtual Instructors (VI) can be delivered through wearable augmented reality (AR) to provide a personalized and just-in-time instructional intervention during psychomotor learning and play. ...
The evaluation of Learning Management Systems using an artificial intelligence fuzzy logic algorithm
There are many open source and commercially available Learning Management System (LMS) on the Internet and one of the important problems in this field is how to choose an LMS that will be the most effective one and that will satisfy the requirements. In ...
First step in implementing pedagogy of integration using Edmodo
SITA'18: Proceedings of the 12th International Conference on Intelligent Systems: Theories and ApplicationsEdmodo is become increasingly used in higher education. It helps teachers to easily share learning contents with students, and better communicate with them. Many researches demonstrate its effectiveness in improving students' results and satisfaction ...