Crowdsourcing Technology for Classroom Learning

Abstract

Crowdsourcing technology is a revolution that connects collective intelligence of users and has transformed learning process among teachers and students to a new form of engagement and collaboration in the classroom. It enables learners to make personal learning networks to gain ideas and use the crowd to find solutions to problems. This study employed experimental, sharable content object reference model (SCORM), and descriptive research methods and conducted at the University of La Salette, Inc. (ULSI) with students, teachers, subject matter experts, personnel and IT experts as participants. Data were gathered through sets of questionnaires and interview and were analyzed through frequency and percentage, mean, and t-test for significant difference. Results revealed that the university has the readiness and sustainability for implementation of Crowdsourcing Technology for Classroom Learning (CTCL) platform indicated by the presence of ICT infrastructure, administrative and resource support. Students and teachers have the readiness to adopt the platform supported by their technological tools, confidence, attitudes and training towards a successful online learner or teacher. CTCL was designed through SCORM of Moodle platform. Considering the significance of utilizing the platform, learning becomes more effective, engaging and enhancing in the students’ performance in their course. Moreover, satisfaction and usability acceptance of users on the platform met the requirements of software quality standards of ISO 25010. Therefore, adoption of CTCL in the university and its sister schools in the province of Isabela is recommended as a crowdsourced learning management system. In the future, this study can be enhanced further and work on integration of other emerging technologies such as widespread use of mobile computing which would change the instructor and learner learning systems. Researchers working on similar topic would consider integration of virtual and augmented reality technologies and offline mode of learning using mobile learning platforms for enhancement of this study.