Comparative assessment method between neural network & rubric

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Chanpet P., Chomsuwan K.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2017

หน้าแรก: 419

หน้าสุดท้าย: 424

จำนวนหน้า: 6

ISBN: 9781509055982

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015161174&doi=10.1109%2fTALE.2016.7851833&partnerID=40&md5=a389b642f439651b216409cb6891372b

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

This study aimed to design and develop to an E-portfolio assessment system on Project-based learning approach to teaching and learning oriented assessment. The researcher considered 60 pre-service senior teachers from two classes in university particularly on instruction media courses. The control group comprised 30 pre-service teachers who used E-portfolio system and analytic rubric assessment that was a coherent set of criteria for students' work. It included descriptions of levels of performance quality on the criteria. The experimental group comprised 30 pre-service teachers that served as who used E-portfolio system and neural network assessment. Neural Networks was a model of the work of human brain by using computer. It made computer as clever as the human learning, and trained to classify the data mining in E-portfolio. Experimental results indicate that the E-portfolio assessment system has no significant effect on pre-service teacher achievement, positive effect on self-learning. In addition, rubric assessment and neural network assessment of project-based learning achievements produced different results. ฉ 2016 IEEE.

คำสำคัญ

E-portfolio