Activity Worksheets for Teaching and Learning Data Visualization

2021 ◽  
pp. 1-1
Author(s):  
Vetria Byrd ◽  
Nicole Dwenger
Keyword(s):  
Data Visualization ◽  
Teaching And Learning ◽  
Learning Data

scholarly journals The Usefulness of Video Learning Analytics in Small Scale E-Learning Scenarios

2021 ◽  
Vol 11 (21) ◽  
pp. 10366
Author(s):  
César Córcoles ◽  
Germán Cobo ◽  
Ana-Elena Guerrero-Roldán
Keyword(s):  
Learning Process ◽  
Teaching And Learning ◽  
Large Scale ◽  
Real Data ◽  
Small Scale ◽  
E Learning ◽  
Learning Scenarios ◽  
Real Scenario ◽  
Teaching Learning ◽  
Learning Data

A variety of tools are available to collect, process and analyse learning data obtained from the clickstream generated by students watching learning resources in video format. There is also some literature on the uses of such data in order to better understand and improve the teaching-learning process. Most of the literature focuses on large scale learning scenarios, such as MOOCs, where videos are watched hundreds or thousands of times. We have developed a solution to collect clickstream analytics data applicable to smaller scenarios, much more common in primary, secondary and higher education, where videos are watched tens or hundreds of times, and to analyse whether the solution is useful to teachers to improve the learning process. We have deployed it in a real scenario and collected real data. Furthermore, we have processed and presented the data visually to teachers for those scenarios and have collected and analysed their perception of their usefulness. We conclude that the collected data are perceived as useful by teachers to improve the teaching and learning process.

A methodological approach to use technological support on teaching and learning data structures

2014 ◽  
Author(s):  
Ronaldo Celso Messias Correia ◽  
Rogerio Eduardo Garcia ◽  
Celso Olivete ◽  
Analice Costacurta Brandi ◽  
Guilherme P. Cardim
Keyword(s):  
Data Structures ◽  
Teaching And Learning ◽  
Methodological Approach ◽  
Technological Support ◽  
Learning Data

scholarly journals Online Learning Amidst COVID-19 Emergency: A Case of the University of Malawi’s School of Education

2021 ◽  
Vol 10 (1) ◽  
pp. 346-364
Author(s):  
Bob Maseko ◽  
Foster Gondwe ◽  
Symon Winiko ◽  
Symon Chiziwa
Keyword(s):  
Teaching And Learning ◽  
Faculty Members ◽  
School Of Education ◽  
Structured Interviews ◽  
Concerns Based Adoption Model ◽  
Academic Leaders ◽  
Positive Attitudes ◽  
The University ◽  
The Impact ◽  
Learning Data

This paper explores faculty members’ concerns and level of preparedness for open and distance learning (ODL) at the University of Malawi’s School of Education during the recent Covid-19 pandemic within a context that considers ODL as a means of mitigating the impact of the pandemic on teaching and learning. Data were gathered through semi-structured interviews with four experienced academic leaders within the school of education. The Concerns Based Adoption Model (CBAM), particularly stages of concerns, served as a framework to understand the faculty’s concerns about the implementation of ODL initiatives. Inductive and deductive analysis approaches were used to analyse the interview transcripts to identify emerging themes. Deductive analysis revealed that faculty members expressed several concerns such as awareness, informational, as well as consequences concerns as they talked about their feelings and attitudes towards the implementation of ODL. Inductive analysis on the other hand revealed that faculty members’ perceptions such as minimal preparation, negative orientations, and lack of policy awareness hamper the implementation of ODL. These findings underscore the importance of members’ orientation change to ensure effective implementation of ODL in contexts like the institution under study. We discuss these and propose that professional development could help members develop positive attitudes towards ODL.

scholarly journals Madrasah dan Ujian Nasional (UN)

2017 ◽  
Vol 7 (3) ◽  
Author(s):  
M. Imam Zamroni
Keyword(s):  
Test Score ◽  
Teaching And Learning ◽  
School Quality ◽  
Regional Autonomy ◽  
National Examination ◽  
High Test Score ◽  
Teaching Learning ◽  
Depth Interviews ◽  
Collection Methods ◽  
Learning Data

The policy of Final National Examination (UN) standardization has caused madrasah to become trapped in practical efforts to help students pass by focusing on repetitive practice of tests in the examination subjects. Learning was not a process of developing on maturing, but one of earning high test score and passing the UN. Ironically, the development of student potential was not a priority for the teaching-learning process as a result of the high importance given to test scores. The deification of test score and the application of the policy of standardization have resulted in the process of education causing fear in students. Finally, students experience stress and depression due to fear of failing the UN. Therefore, the policy of standardization of passing grades in the UN must be changed to reflect the spirit of decentralization of passing grades in the UN must be changed to reflect the spirit of decentralization and regional autonomy and appreciation of diversity of school quality and capacity for teaching and learning. Data collection methods were in-depth interviews and document analysis.

scholarly journals O impacto do uso de ferramenta de visualização de dados abertos como recurso de ensino e aprendizagem / The impact of use open data visualization tools how teaching and learning resource

2015 ◽  
Vol 25 (44) ◽  
pp. 97-117
Author(s):  
Alex Alex Sander Miranda Lobo ◽  
Luiz Claudio Gomes Maia ◽  
Fernando Silva Parreiras
Keyword(s):  
Information And Communication Technologies ◽  
Data Visualization ◽  
Teaching And Learning ◽  
Open Data ◽  
Communication Technologies ◽  
Use Of Technology ◽  
Teachers And Students ◽  
Information And Communication ◽  
The Impact ◽  
Visualization Application

Este artigo apresenta uma pesquisa de dissertação, na qual se buscou desenvolver uma ferramenta de visualização de Dados Abertos (Open Data) para uso no processo de ensino e aprendizagem em uma turma do terceiro ano do Ensino Médio na disciplina de Geografia. Teve como objetivo principal verificar como essa ferramenta influenciaria nesse processo. Para atingir o objetivo do trabalho, foi realizada uma pesquisa preponderantemente qualitativa com natureza descritiva, com referencial teórico baseado na aprendizagem significativa e no uso das tecnologias da informação e comunicação no processo de ensino e aprendizagem. Foi realizada uma entrevista inicial junto ao professor da disciplina e a aplicação de questionários ao professor e aos alunos do terceiro ano, após o uso da aplicação de visualização de dados abertos e, por fim, foi proposto um teste avaliativo entre turmas que usaram o aplicativo e turmas que não o usaram. Na análise dos resultados, concluiu-se que a ferramenta trouxe vários aspectos positivos no processo de ensino e aprendizagem, como uma atenção maior por parte dos alunos em relação ao conteúdo, uma motivação a mais no processo de ensino e aprendizagem, tendo apresentado aspectos relacionados à aprendizagem significativa e mostrado que os alunos que fizeram o uso da aplicação tiveram um melhor desempenho em relação aos que não fizeram o uso da tecnologia no conteúdo proposto na disciplina.Palavras-Chave: Educação. Dados Abertos. Ensino e AprendizagemAbstractThis article presents a research dissertation, which aimed to develop a visualization tool of Open Data (Open Data) for use in the process of teaching and learning in a class of third year of high school in geography discipline. Aimed to assess how these influence tool in this process. To achieve the goal of the work, mainly qualitative research was conducted with descriptive, and the theoretical framework based on meaningful learning and the use of information and communication technologies in teaching and learning. An initial interview was conducted with the subject teacher and the application of questionnaires to teachers and students of the third year after the use of open data visualization application and, finally, an evaluation test between groups who used the application was proposed and classes than used. In analyzing the results, it was concluded that the tool has brought many positive aspects in the process of teaching and learning, such as greater attention from students regarding the content, one more motivation in the process of teaching and learning, presenting aspects the significant learning and shown that students who have made the use of the application performed better than those who did not make the use of technology in the proposed content of the discipline.Keywords: Education. Open Data. Teaching and Learning. 

scholarly journals Progressive Teaching Improvement For Small Scale Learning: A Case Study in China

2020 ◽  
Vol 12 (8) ◽  
pp. 137
Author(s):  
Bo Jiang ◽  
Yanbai He ◽  
Rui Chen ◽  
Chuanyan Hao ◽  
Sijiang Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Data Analysis ◽  
Network Model ◽  
Neural Network Model ◽  
Teaching And Learning ◽  
Large Scale ◽  
Small Scale ◽  
Teaching Improvement ◽  
Data Feedback ◽  
Learning Data

Learning data feedback and analysis have been widely investigated in all aspects of education, especially for large scale remote learning scenario like Massive Open Online Courses (MOOCs) data analysis. On-site teaching and learning still remains the mainstream form for most teachers and students, and learning data analysis for such small scale scenario is rarely studied. In this work, we first develop a novel user interface to progressively collect students’ feedback after each class of a course with WeChat mini program inspired by the evaluation mechanism of most popular shopping website. Collected data are then visualized to teachers and pre-processed. We also propose a novel artificial neural network model to conduct a progressive study performance prediction. These prediction results are reported to teachers for next-class and further teaching improvement. Experimental results show that the proposed neural network model outperforms other state-of-the-art machine learning methods and reaches a precision value of 74.05% on a 3-class classifying task at the end of the term.

scholarly journals Deep Learning

2018 ◽  
Vol 10 (1) ◽  
pp. 62-77 ◽  
Author(s):  
Amanda Naylor ◽  
Janet Gibbs
Keyword(s):  
Professional Learning ◽  
Mobile Technology ◽  
Teaching And Learning ◽  
International Project ◽  
Teachers Perceptions ◽  
On Line ◽  
Line Survey ◽  
The Uk ◽  
Depth Interviews ◽  
Learning Data

This article presents results from an international collaboration between college students and pre-service teachers in Norway and the UK. This research is part of a large, international project exploring and developing the interrelationship between mobile technology and teachers' perceptions of teaching and learning. Data was collected for this study through an on-line survey of 37 pre-service teachers followed by six semi-structured, in-depth interviews. The data analysis revealed the themes of collaboration, authenticity and professional learning through the use of mobile technology in the data. The collaboration enabled the use of the affordances of mobile technology to enhance the pre-service teachers' professional learning and the data suggested that this enhanced their emergent conceptions of teaching and learning.

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