With the world moving forward, leaders in the university sector must proactively innovate in the delivery of teaching programs. The way students learn is changing, such as reduced lecture attendance and a growing dema...
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ISBN:
(纸本)9781665453318
With the world moving forward, leaders in the university sector must proactively innovate in the delivery of teaching programs. The way students learn is changing, such as reduced lecture attendance and a growing demand for digital learning. This impacts staff workload and can negatively affect both the in-class and online student experience. We need to find ways to enhance student learning and engagement in an attendance-agnostic manner. In this work-in-progress paper, we describe the process of re-designing three courses from the Mathematical Sciences Department at Auckland University of Technology using the flipped classroom and active learning pedagogies. We reflect on the implementation of these courses, which were flipped for one semester (12 weeks) with students who had no previous experience with flipped learning. Despite challenges in involving students in pre-class tasks due to their unfamiliarity, positive feedback on lecture recordings and scaffolding of activities was received from motivated students. Future enhancements of each course will be incorporating students' feedback and the lessons learnt from the course's first run.
Natural sciences are important for humanity and our knowledge of the world. A key factor for effective teaching that can lead to knowledge and improvement of learning outcomes is the promotion of students' active ...
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ISBN:
(数字)9783031533822
ISBN:
(纸本)9783031533815;9783031533822
Natural sciences are important for humanity and our knowledge of the world. A key factor for effective teaching that can lead to knowledge and improvement of learning outcomes is the promotion of students' active participation, the activation of their creativity and their encouragement to implement their own ideas in the educational process, based on their own experiences and individual learning styles. Teachers are suggested to adapt their teaching practices based on their teaching subjects, the profile and learning styles of their students, and the teaching goals they have set for any particular subject. The flipped classroom approach and the creation/visualization of students' mental representations/models in natural sciences were applied as an alternative form of teaching in order to strengthen students' creativity, positive attitude towards science and their cognitive level. Students of a University Pedagogical Department, as being prospective primary education teachers, participated in the research. For the purposes of the study, a mixed method research approach (qualitative and quantitative) was used. The results of the focus group discussion and personal interviews as well as students' final exams revealed a number of interesting findings arising from the application of the specific technique and tools (flipped classroom, self-made models/constructions/visualization of scientific concepts). According to the results, students' creativity was highlighted and enhanced, their active participation in the educational procedure increased significantly and their attitude towards science was positively modified, followed by improved cognitive results.
The profile of the graduate allows to understand the objective of training during the teaching-learning process in the higher educational institutions, which, in turn, shows the competences acquired by the students. I...
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ISBN:
(纸本)9798350366716;9798350366709
The profile of the graduate allows to understand the objective of training during the teaching-learning process in the higher educational institutions, which, in turn, shows the competences acquired by the students. In order to predict the achievement of the captured profile, the present research sought to implement a model in machine learning to predict the achievement of the profile of the graduate in the students of the Faculty of Systems engineering of the National University of the Center of Peru (hereinafter nominated as FIS-UNCP), having as input indicators academic performance. The research was carried out following the scientific method, of a quantitative approach, explanatory-predictive level, where the design was nonexperimental longitudinal trend, the chosen population took into account the 355 students of the FIS-UNCP enrolled during the 2023-II academic semester. After the investigation, the result was obtained that the predictive model presents a 97.50% accuracy in the forecasts, with a specificity of 100%, evidencing that the model succeeds in predicting the achievement of the profile of the graduate having as inputs to the indicators of the academic performance of the students. In conclusion, with a T-value=3.239 and P-value=0.001, it can be stated that academic performance significantly influences the achievement of the graduate profile based on a prediction model with machine learning in FIS-UNCP students.
Online learning platforms are crucial today to ensure uninterrupted teaching and learning. Lecturers upload recorded lectures on these platforms, aiding students having connectivity issues and supporting distance educ...
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ISBN:
(纸本)9798350375688
Online learning platforms are crucial today to ensure uninterrupted teaching and learning. Lecturers upload recorded lectures on these platforms, aiding students having connectivity issues and supporting distance education. However, these lecture recordings are often too lengthy to efficiently navigate to the most attentional content, which includes essential information provided in the lecture. This study proposes a new method to navigate lengthy videos by automatically identifying the most attentional content in video lectures. It would be a better alternative to the existing findings, such as text search in the audio transcript or manual video pausing. Three sub-questions drove the research: what are lecturers' most common techniques to emphasise the most attentional content, how can these techniques be identified in slides, and how can a navigational structure be created to access the most attentional content in video lectures? The research employed a constructive research approach. It started with a questionnaire to uncover lecturers' common techniques, such as text highlighting, underlining, and writing on the slides to denote the most attentional content. The study included a comparative analysis of existing image processing techniques such as Contour Detection, Canny Edge Detection, and Probabilistic Hough Line Transformation, and a machine learning object detection model named EfficientDet DO 512x512 to identify the most attentional content in video frames. The findings revealed that the object detection model was more effective in identifying the most attentional content. Finally, the research employed a strategy involving video frame capturing, slide transition detection, tagging video frames with timestamps, and relevant transcribed words to generate the navigation structure. The findings demonstrated that the navigation structure could effectively locate slides containing the most attentional content with high precision values. Hence, this research can
Natural Language Processing (NLP) has undergone a remarkable transformation, with representation learning playing a pivotal role in reshaping the field. This review explores the evolution of NLP representation learnin...
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The purpose of this study was to determine the attitude of in-service school teachers towards their teaching and Leaning conceptions. The teaching and learning conceptions questionnaire (TLCQ) was used to collect data...
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This abstract explores the utilization of deep learning for detecting driver somnolence, aiming to enhance driver safety and alertness monitoring. It investigates the integration of computer vision, physiological sign...
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Assembly language programming is an important skill needed in several knowledge areas, such as operating system development, compiler design, high-performance computing, computer architecture design, multimedia accele...
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ISBN:
(纸本)9798400704628
Assembly language programming is an important skill needed in several knowledge areas, such as operating system development, compiler design, high-performance computing, computer architecture design, multimedia acceleration in processors, and many others. Nonetheless, due to the high complexity of a computing systems internal workings, it is considered very difficult to learn. Despite numerous attempts to make assembly language learning more accessible, a common thread among these efforts is the absence of formal experimentation to assess the effectiveness of the proposed methods in developing students abilities. Video games have demonstrated their potential in teaching and honing skills applicable to real-world scenarios. However, a video game designed to teach assembly language programming of actual computer architecture is yet to be developed. This research proposal aims to fill the identified gap by creating a video game tailored for this purpose and evaluating its effectiveness through formal experimentation. Generally, modern video games are intrinsically multimodal as there are several ways to provide the player with information, so the development process contemplates performing testing to identify the best method to give the player feedback about the game state.
This paper proposes and implements a feedback system of ideological and political teaching resource base based on emotion analysis and deep learning, aiming to capture students' emotional responses to teaching res...
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作者:
Chen, JinhuanSchool of Marxism
Guangdong Polytechnic of Environmental Protection Engineering Guangdong Foshan528216 China
The advent of the big data era has brought the biggest impact on education work is the use of all kinds of information technology in education work. The use of information technology can significantly improve the qual...
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