Investigation of processing test results based on knowledge similarity

The traditional scoring is based on the difficulty of the task. However, the same total score can be earned with different knowledge, hence it is difficult to create homogenous groups by only relying on the total score. In our work, we aim to present a new scoring method where such knowledge-based groups can be created, as opposed to the previous point-based method. For comparison of the test result done by the students, we utilized different distance measures. The main challenge with finding the similarities between the results is the high dimensionality of the data compared to the total number of observations. First, we used the traditional Minkowski distance with different p values, then we used local similarity hashes and high dimensional embedding techniques designed originally for natural language processing. With these never before used techniques, we were able to identify students with similar skillsets and knowledge. Furthermore, we utilized dimension reduction methods (t-SNE and UMAP) to make a lower dimension representation where we can cluster the data easier. These clusters and pairwise similarities were assessed by oral exam subjective scores. The teacher's subjective scores correlated more with this new metric-based method of scoring than the total test score itself. The presented procedures can not only be used effectively in research but can also help to get a more complete picture of the students' knowledge we teach in everyday practice

Hengeres-kúpos fogaskerékpár fogkihegyesedése és alámetszése

A dolgozat az evolvens fogprofilú kúpos-hengeres fogaskerékpár kúpkerekének léc típusú szerszámmal való lefejtésekor előforduló alámetszést illetve fogkihegyesedést vizsgálja. A vizsgálat első sorban analitikus formában történik. A bevitt adatok alapján (modul, fogszám, illetve a kúpfogaskerék generátora és alapja közt bezárt szög értéke) meghatározható az a maximális fogszélesség, amely során a keletkező fog, a járulékos fogcsonkulás ellenére is, még a használhatósági határon belül van. A vizsgálat eredményének helyességét egy 3D-s lefejtés szimulációja igazolja. A szimuláció során létrehozott kúpfogaskerék testmodelljén vizuálisan figyelhető meg a fogkihegyesedés és fogalámetszés

Changes in learning strategy and learning time in the wake of the pandemic

University studies were also significantly affected by the pandemic. The first-year students had already spent the last months of high school, which are especially important for graduation, in distance learning. In Hungary, the graduation procedure was changed due to the epidemic. Education was completely digital in hybrid form: the lectures were held online, and the seminars were attended in-person and from September of 2021 again in-person. Our research team has been monitoring learning time and effectiveness for years using the EduBase online educational platform, which provides a framework for all teaching aids for the calculus subject. In our research, we analysed the learning processes and their effectiveness of mechatronic and energy engineering students who were admitted to BME in 2020. The results were compared with the learning habits of the class of 2018, with whom a detailed study was also performed. It can be stated that the pandemic greatly influenced the learning time: students took advantage of the available practice opportunities to a greater extent in digital education, which did not reduce the practice time during the end-of-semester spurt, thus, learning became more balanced. Considering the high school results, it can be observed that on average, those who took advanced level subjects spent more time practicing, even though they had already mastered some calculus in high school. In addition, test scores also influenced practice time, while students coped successfully even with the more difficult tasks