Application of Internet of Things intelligent image-positioning studio classroom in English teaching

The purpose is to minimize color overflow and color patch generation in intelligent images and promote the application of the Internet of Things (IoT) intelligent image-positioning studio classroom in English teaching. Here, the Convolutional Neural Network (CNN) algorithm is introduced to extract and classify features for intelligent images. Then, the extracted features can position images in real-time. Afterward, the performance of the CNN algorithm is verified through training. Subsequently, two classes in senior high school are selected for experiments, and the influences of IoT intelligent image-positioning studio classroom on students’ performance in the experimental class and control class are analyzed and compared. The results show that the introduction of the CNN algorithm can optimize the intelligent image, accelerate the image classification, reduce color overflow, brighten edge color, and reduce color patches, facilitating intelligent image editing and dissemination. The feasibility analysis proves the effectiveness of the IoT intelligent image-positioning studio classroom, which is in line with students’ language learning rules and interests and can involve students in classroom activities and encourage self-learning. Meanwhile, interaction and cooperation can help students master learning strategies efficiently. The experimental class taught with the IoT intelligent positioning studio has made significant progress in academic performance, especially, in the post-test. In short, the CNN algorithm can promote IoT technologies and is feasible in English teaching.

Use of questioning strategy to facilitate students’ reading comprehension in Taiwan

This study investigates individual differences arising from strategy instruction, questioning strategy, based on the problems found through miscue analysis. This qualitative study also investigates students’ motivation toward the strategy taught. The participants were a college student in Taiwan, consisted of one high-achieving student and one low-achieving student. Both were on the same language proficiency level (level C). They were asked to complete miscue pre and post-test and took eight meetings of tutorials (four meetings for teacher-generated questions and four meetings for student-generated questions). An interview was also conducted to find out their motivation toward the strategy. The instructional materials were taken from an English magazine specially designed for Taiwanese, called Studio Classroom. Results indicated that the strategy did not work well in both students as their motivation interfered their reading performance. This study concludes that the strategy works better in higher motivation student. Since motivation affects students' reading performance, therefore, this study suggests that raising students' motivation in the teaching process is crucial to reach better reading performance.

Analyzing the physical and virtual interior design studio classroom practices and culture

Studio courses are the heart of the undergraduate interior design programs in the United States. Traditionally, studio courses are offered in a physical classroom where the instructor and students meet together for several hours each week. With the emergence of technology, few institutions are offering studio courses in a virtual environment. Although instructors and students interact with one another within the virtual classroom, they do not meet together in the same physical space. The practices within each environment can determine its success. Therefore, the examination of the experience of both the interior design instructors and students, as well as studio classroom practices, is required to gain an understanding of the studio environment and culture within a physical learning classroom and a virtual learning classroom. Guided by grounded theory methodology, data collection was triangulated with 19 personal interviews of instructors and students familiar with both environments, classroom observations, and documents that pertained to the classroom. Virtual environments have the potential to be a productive learning space with the current technologies available, however, it was determined that the examined virtual interior design studio environment did not equate to the rich experiences, practices, or culture of the physical environment. Established course design, studio practices, and the use of collaborative technology were not implemented in the virtual studio classroom to produce the teaching and experiential learning outcomes of real-time intensive studio culture. Specifically, the study found serious limitations in (1) Collaborative interaction among faculty, students, project clients, and experts, (2) Creativity associated with the fluid and open-ended nature of stimulation, trials and exploration in the design process, (3) Personal and individualized interaction in building engaged relationships and networks, (4) Teaching and learning expectations for iterative on-going reflection and continuing improvements in projects evolving in time, and (5) Investment in building studio culture with real-time presence and interaction among a tightly formed group of 16 or less colleagues to address dynamic complexities in the problem-solving design process.