The Development of Blended Teaching Model Based on Deep Learning Theory to Enhance College Students' Critical Thinking

Name: Guo Zhonghua

keyword: Blended Teaching Model

; Deep Learning Theory

; Critical Thinking

; CIPSE model

Abstract: The purposes of the study are1 (to investigate the current situation of college students 'critical thinking in Guangxi Normal University; 2) to develop the blended teaching model based on Deep Learning Theory to enhance college students' critical thinking; and3 (to access the effciency of the blended teaching model based on deep learning theory through comparing the college students' critical thinking ability before and after the implementation of teaching model.The sample groups for this research were1( 400sophomores who participated in the questionnaire survey and were selected from a pool of approximately 7, 000sophomores at Guangxi Normal University during the first semester of the academic year2023, 2) 50sophomores who participated in a quasi-teaching experiment ,randomly selected from the 400students who had previously taken part in the survey.The research instr uments were1 (college students' critical thinking disposition scale, 2) the blended teaching model based on deep learning theory; 3) lesson plan of the'CIPSE" model, 4) examination paper of college students' critical thinking ability. ally analyzed by meanData were statistic, standard deviation, data analytics statistics for confirmation of instructional model and data analytics statistics for scoring rubric. The results were found that: 1. College students' critical thinking level is good) mean = 4.75.( From the seven specific dimensions of critical thinking tendency, thirst for knowledge is the highest rank which is in the Good level) mean= 5.216, followed by Openness) mean= 5.08(,while selfconfdence is the lowest) mean = 4.33 2. This study has developed a blended teaching model based on Deep Learning Theory named the'CIPSE" model. The"CIPSE" stands for the abbreviation of a five-during the instructional process stage teaching method employed: Clearly Providing, Intensive Teaching, Process Reporting, Stating the question, Evaluating and Summarizing. The "ESPIC" model comprises four key components: 1) Principles, 2) Objectives, 3) Learning Processes, and4 (Results. The model has been evaluated by three specialists and found to align with criteria of utility, feasibility, propriety, and accuracy. 3. After a planned20-class teaching experiment on the "CIPSE "model ,the data show that the critical thinking ability of50 sophomores who participated in the teaching experiment has been obviously improved, and the overall average score has increased from23.80 to28.72 .After the paired sample t-test ,it is found that there are significant differences )t=27.631 ,p=0.000 0.01 (in the pre-test and post-test scores of college students 'critical thinking ability .This fully proves that the blended model based on Deep Learning Theory has obvious advantages and effects in cultivating college students 'critical thinking ability. In summary," the CIPSE "modehas obvious effect on improving the critical l thinking ability of college students in an all-round way, which is in line with the current development trend of university education and the individualized learning entsneeds of stud. This study provides a reference for the reform of university curriculum in China, and also provides a reference for the cultivation of critical thinking of college students Keywords: B lendedteaching model, Deep learning theory, Critical thinking ,The "CIPSE "model

Bansomdejchaophaya rajabhat university. Office of Academic Resources and Information Technology

Address: Bansomdejchaophaya rajabhat university. Office of Academic Resources and Information Technology

Email: seubyos.si@bsru.ac.th

Name: Professor Dr. Wirot Watananimitgul

Role: adviser

Name: Associate Professor Dr. Wichian Intarasompun

Role: Co-advisor

Name: Associate Professor Dr. Areewan lamsa-ard

Role: Co-advisor

Created: 2023

Issued: 2024

Modified: 2024-05-30

Issued: 2024-05-30

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: 372.3 Z63D 2023

eng

DegreeName: Degree of Doctor of Philosophy

Level: Doctoral Degree

Descipline: Curriculum and Instruction

Grantor: Bansomdejchaopraya Rajabhat University

©copyrights Bansomdejchaopraya Rajabhat University

ลำดับที่.	ชื่อแฟ้มข้อมูล	ขนาดแฟ้มข้อมูล	จำนวนเข้าถึง	วัน-เวลาเข้าถึงล่าสุด
1	GUO ZHONGHUA.pdf	4.64 MB	1	2024-06-24 10:16:54

ใช้เวลา

0.033738 วินาที