ABSTRACT Interactive computer technology is deeply integrated into traditional teaching methods. The traditional teaching of physics experiments in secondary schools suffers from the inability of teachers to provide timely guidance to students, the difficulty of controlling experimental variables, and the lack of uniformity in evaluation criteria. To address the aforementioned issues, we have developed an innovative system to improve secondary school physics education using computer vision‐based interaction with virtual humans and sensors. The proposed system captures experimental data in real time so that student performance can be accurately monitored and assessed. Teachers can effortlessly configure experiments through simple coding, while the system leverages a multimodal macrolanguage model to offer contextual feedback and guidance. The system generates a virtual teacher that offers step‐by‐step guidance and real‐time feedback. Usability tests indicate that the system significantly improves student engagement and comprehension of complex physics concepts, highlighting its potential to transform traditional science education. The advantage of real‐time assessment and guidance in secondary school physics experiments is that it enables students to grasp abstract concepts in a more intuitive and comprehensible manner.

Most improved definition television (IDTV) receivers use progressive scanning to reduce artifacts associated with interlacing (e.g. interline flicker, line crawl, etc). We propose some novel techniques of motion compensated interpolation of the missing lines of interlaced monochrome and color sequences, reducing the artifacts associated with interlacing, and effectively increasing the vertical resolution of the image sequences. Time-recursive motion compensated prediction is introduced, in which all previously displayed history (not just the previous field) is used to predict the missing pixel values. The next future field is also used for the same purpose, by a look-ahead scheme. Motion estimation is done using a quadtree-based segmented block-matching technique with half pixel accuracy. To avoid artifacts and obtain full resolution in still regions, like background, motion adaptation is used as well. We also discuss how to apply this algorithm to pyramid coding to achieve better compression rate and compatibility of progressive with interlaced format standards.