Search results for " learning."
showing 10 items of 5179 documents
Research data supporting "Social information use about novel aposematic prey is not influenced by a predator’s previous experience with toxins"
2019
This data is from the experiment investigating social avoidance learning in wild-caught great tits, conducted at Konnevesi Research Station in Central Finland during winter 2017. Sheet 1 (���main data���) contains data from the main avoidance learning experiment, including individual attributes (sex, age, weight etc.), experimental treatments and individuals��� foraging choices in the learning trials. Sheet 2 (���preference test���) contains data from the initial preference test of the symbols that were used in the experiment, and Sheet 3 (���visibility test���) data from the initial visibility test of the same symbols.
Description of movement sensor dataset for dog behavior classification
2022
The description and results of the original investigation are found in: Dog behaviour classification with movement sensors placed on the harness and the collar, Kumpulainen, P., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Väätäjä, H., Majaranta, P., Gizatdinova, Y., Antink, C. H., Surakka, V., V. Kujala, M., Vainio, O. & Vehkaoja, A., Aug 2021, In: Applied Animal Behaviour Science. 241, 7 p., 105393. Movement sensor data from seven static and dynamic dog behaviors (sitting, standing, lying down, trotting, walking, playing, and (treat) searching i.e. sniffing) was collected from 45 middle to large sized dogs with six degree-of-freedom movement sensors attached to the collar and the ha…
Motivational Challenges of Engineers Participating in an Online Upskilling Program
2022
The present powerful surge of available online learning platforms will provide employees with enhanced opportunities to rapidly develop their skills, regardless of time and place. Despite the potential, there are challenges for participants on online learning platforms to finalise the courses they engage in. The reasons for the high number of students dropping out before completion of the course are motivational, social, and technological. Studies show that large skill gaps exist among industry employees worldwide. It is often caused by the implementation of new technologies, digitalization, as well as increasing requirements on sustainability and resilience. E-learning provides a major opp…
Exploring sequential interplay between challenges and regulatory processes in collaborative learning with process mining
2023
This study explored the sequential interplay between challenges and regulatory processes in high- and low-performing collaborative groups. 66 students from a Finnish higher education institution participated in a collaborative task in groups of three. Approximately 34 h of video data were coded. The sequential analysis revealed that both groups had higher sequential transitions between cognitive regulation and emotional/motivational regulation, rather than cognitive challenges. The high-performing groups demonstrated a stronger sequential link between emotional/motivational regulation and cognitive regulation than the low-performing groups did when faced with cognitive challenges. The study…
“You really brought all your feelings out” : Scaffolding students to identify the socio-emotional and socio-cognitive challenges in collaborative lea…
2021
The aim of this study is to explore how students experience and describe socio-cognitive and socio-emotional challenges in collaborative learning. The participants (N = 20) were teacher education students whose collaborative learning was supported with a designed regulation macro script during a six-week mathematics course. The purpose of the script was to provide structured phases during the collaborative learning tasks for the group members to plan, monitor, and evaluate their workings. The video data of groups' face-to-face work was collected and analysed by focusing on the different types of challenges the groups experienced and the types of challenges they described during the scripted…
Zero-shot Semantic Segmentation using Relation Network
2021
Zero-shot learning (ZSL) is widely studied in recent years to solve the problem of lacking annotations. Currently, most studies on ZSL are for image classification and object detection. But, zero-shot semantic segmentation, pixel level classification, is still at its early stage. Therefore, this work proposes to extend a zero-shot image classification model, Relation Network (RN), to semantic segmentation tasks. We modified the structure of RN based on other state-of-the-arts semantic segmentation models (i.e. U-Net and DeepLab) and utilizes word embeddings from Caltech-UCSD Birds 200-2011 attributes and natural language processing models (i.e. word2vec and fastText). Because meta-learning …
Penerapan Model Pembelajaran Problem Based Learning (PBL) untuk Meningkatkan Hasil Belajar Peserta Didik SMA pada Materi Usaha dan Energi
2017
This research aims to determine the increase of PBL (Problem Based Learning) model on effort and energy material by the XI MIA 6, CLASS OF SMA NEGERI 1 Manokwari. The subject amount of this research consists of 25 students which are divided into 11 boys and 14 girls. This is a classroom action research, which refers to the Kemmis and Taggart style. This research is conducted in two cycles, which in every cycle consists of planning implementation, action and observation, and reflection. The data of this research is taken using multiple choice and essay test. Meanwhile, the psychomotor learning result is taken using psychomotor assessment sheet through the expert observation. The cognitive re…
On personalized adaptation of learning environments
2017
This work is devoted to the development of personalized training systems. A major problem in learning environments is applying the same approach to all students: i.e., teaching materials, time for their mastering, and a training program that is designed in the same way for everyone. Although, each student is individual, has his own skills, ability to assimilate the material, his preferences and other. Recently, recommendation systems, of which the system of personalized learning is a part, have become widespread in the learning environments. On the one hand, this shift is due to mathematical approaches, such as machine learning and data mining, that are used in such systems while, on the ot…
CLIL Implementation in Greece : Empirical Findings from 2006 to 2020
2023
Abstract Despite the increasing interest in CLIL in Greece over the past decade, Greek CLIL research is largely absent from international review studies. This systematic review focuses on primary and secondary education, and examines peer-reviewed empirical research on CLIL implementation in Greece from 2006 to 2020. A total of 33 items are reviewed using qualitative Content Analysis. Organized according to commonalities shared by their foci, the reviewed items highlight three main research areas of CLIL implementation in Greece: (1) CLIL project evaluation, (2) CLIL students’ development, and (3) CLIL teachers. The reviewed studies suggest that CLIL implementation in Greece tends to be qua…
Feedback on individual academic presentations: exploring Finnish university students’ experiences and preferences
2015
With an increasing emphasis on measuring the outcomes of learning in higher education, assessment is gaining an ever more prominent role in curriculum design and development as well as in instructional practices. In formative assessment, feedback is regarded as a powerful pedagogical tool driving student engagement and deep learning. The efficacy of feedback, however, depends on a multitude of factors. From a learning cultures perspective (James 2014), assessment strives for an appropriate balance between structural constraints and individual agency. To have a better grasp of how feedback functions in practice, it is useful to investigate students’ views and preferences as well as the immed…