ERIC Number: EJ1162381
Record Type: Journal
Publication Date: 2017-Nov
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: N/A
Perceptions of Pre-Service Teachers on the Design of a Learning Environment Based on the Seven Principles of Good Practice
Al-Furaih, Suad Abdul Aziz
Education and Information Technologies, v22 n6 p3187-3205 Nov 2017
This study explored the perceptions of 88 pre-service teachers on the design of a learning environment using the Seven Principles of Good Practice and its effect on participants' abilities to create their Cloud Learning Environment (CLE). In designing the learning environment, a conceptual model under the name 7 Principles and Integrated Learning Design (7P-ILD) was created. The 7P-ILD model was developed based on Chickering and Gamson's Seven Principles of Good Practice, cloud tools, and selected strategies. A survey design was used and two instruments were administered to all participants. The findings indicated the 7P-ILD positively influenced participants' ability to confidently build their CLE. Participants were most satisfied with 7P-ILD related to the principle student-faculty contact, and least satisfied with the principle time-on-task. Pre-service teachers' perceptions did not differ by type of project (individual or collaborative); however, there was a significant difference between kindergarten and elementary pre-service teachers regarding time-on-task principle and high expectations principle. These results suggest the 7P-ILD can be a practical model to adopt for teacher preparation and with more research and modifications; it could become an emerging model for building more robust and effective learning environments where teacher autonomy and technology is enhanced.
Descriptors: Preservice Teachers, Student Attitudes, Educational Principles, Best Practices, Instructional Design, Computer Assisted Instruction, Student Surveys, Teacher Student Relationship, Kindergarten, Preschool Teachers, Elementary School Teachers, Teacher Education, Professional Autonomy, Technology Integration, Models, Expectation
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A