scholarly journals Adaptive Learning Supported by Learning Analytics for Student Teachers’ Personalized Training during in-School Practices

2021 ◽  
Vol 14 (1) ◽  
pp. 124
Author(s):  
Carmen Fernández-Morante ◽  
Beatriz Cebreiro-López ◽  
María-José Rodríguez-Malmierca ◽  
Lorena Casal-Otero
Keyword(s):  
Student Teachers ◽  
Learning Process ◽  
Adaptive Learning ◽  
Learning Analytics ◽  
Intelligent System ◽  
Strong Support ◽  
Educational Innovation ◽  
Initial Teacher Education ◽  
Second Phase ◽  
Sources Of Information

This paper presents the results of the second phase of the international project “Improving Educational Innovation, Competitiveness, and Quality of Higher Education through Collaboration between University and Companies (EKT)”. The use of adaptive learning supported by learning analytics is proposed as a pedagogical strategy to work on the collaborative and personalized learning process that takes place during the school placement period of initial teacher education. Learning analytics is expected to facilitate the analysis of the different sources of information and data generated in the learning process. The collected data will be centralized in a learning record store (LRS), which will serve as a repository for xAPI compatible traces from the tools that make up EKT intelligent system. The system is expected to provide a strong support to decision-making so that participant agents can collaborate, advise, and contribute to the future teacher’s personalized training according to his or her progress and the context in which the practice takes place. The need analysis of tutors in the five pilot countries is presented, which has made it possible to define the process variables that make up the learning analysis architecture of the EKT system.

scholarly journals A Finnish model of teacher education informs a South African one: A teaching school as a pedagogical laboratory

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Anni Loukomies ◽  
Nadine Petersen ◽  
Jari Lavonen
Keyword(s):  
Teacher Education ◽  
Classroom Management ◽  
Student Teachers ◽  
South African ◽  
Teaching Practice ◽  
Educational Innovation ◽  
Education Programme ◽  
Initial Teacher Education ◽  
University Teaching ◽  
African Context

In this study, we examined student teachers’ learning during their teaching placement period in Finland and South Africa. The setting of the inquiry in both countries was a ‘teaching’ school, affiliated to a university teacher education programme. The teaching school is also referred to as an educational innovation that was transferred from the Finnish context to the South African context. Data were collected through an interview protocol. The findings show that the students, like many of their counterparts in different parts of the world, focused on teaching tools and methods as well as classroom management as a gateway to their teaching career. The extended teaching placement period at both the university teaching schools was expected to yield some findings about the intersection of teaching practice and its supporting theories because of the close collaboration of the schools and the universities. Some of the findings satisfied this expectation while other parts did not, confirming that initial teacher education may be regarded as a platform for learning to be teachers, but it has its own limits even in a pedagogical ‘laboratory’. The transfer of the educational innovation was regarded as successful.

Teaching practicum and the development of professional and pedagogical knowledge

2020 ◽  
Vol 15 (1) ◽  
pp. 67-90
Author(s):  
Minerva Rosas ◽  
Verónica Ormeño ◽  
Cristian Ruiz-Aguilar
Keyword(s):  
Student Teachers ◽  
Qualitative Data ◽  
Thinking Skills ◽  
Pedagogical Knowledge ◽  
Critical Thinking Skills ◽  
Initial Teacher Education ◽  
Teaching Programme ◽  
Teaching Practicum ◽  
The University ◽  
The Relationship

To assess the progressive teaching practicums included in an English Teaching Programme at a Chilean university, 60 former student-teachers answered a questionnaire with both Likert-scale and open-ended questions. The issues assessed included the relationship between the progressive teaching practicums and the curriculum’s modules and sequence, and the skills developed while implementing innovation projects during the student-teachers’ two final practicums. Quantitative and qualitative data analyses allowed us to identify both strengths and weaknesses. The participants highlighted strengths in the areas of teaching strategies, critical thinking skills and professional and pedagogical knowledge. Among the weaknesses, they identified limited supervision and feedback, and diverging views on teaching education between the university and the schools as the most difficult to deal with. These findings may be useful for introducing improvements in Initial Teacher Education aimed at reducing problems and discrepancies and devising suitable induction processes.

What are the risks of Virtual Reality data? Learning Analytics, Algorithmic Bias and a Fantasy of Perfect Data

2021 ◽  
pp. 146144482110127
Author(s):  
Marcus Carter ◽  
Ben Egliston
Keyword(s):  
Virtual Reality ◽  
Learning Process ◽  
Learning Analytics ◽  
Soft Skills ◽  
Education Technology ◽  
Skills Training ◽  
Emerging Technology ◽  
Critical Issues ◽  
Vr Training ◽  
Algorithmic Bias

Virtual reality (VR) is an emerging technology with the potential to extract significantly more data about learners and the learning process. In this article, we present an analysis of how VR education technology companies frame, use and analyse this data. We found both an expansion and acceleration of what data are being collected about learners and how these data are being mobilised in potentially discriminatory and problematic ways. Beyond providing evidence for how VR represents an intensification of the datafication of education, we discuss three interrelated critical issues that are specific to VR: the fantasy that VR data is ‘perfect’, the datafication of soft-skills training, and the commercialisation and commodification of VR data. In the context of the issues identified, we caution the unregulated and uncritical application of learning analytics to the data that are collected from VR training.

scholarly journals ALAS-KA: A learning analytics extension for better understanding the learning process in the Khan Academy platform

2015 ◽  
Vol 47 ◽  
pp. 139-148 ◽  
Author(s):  
José A. Ruipérez-Valiente ◽  
Pedro J. Muñoz-Merino ◽  
Derick Leony ◽  
Carlos Delgado Kloos
Keyword(s):  
Learning Process ◽  
Learning Analytics ◽  
Khan Academy

scholarly journals Demystifying Learning Analytics in Personalised Learning

2018 ◽  
Vol 7 (3) ◽  
pp. 1124 ◽  
Author(s):  
Andino Maseleno ◽  
Noraisikin Sabani ◽  
Miftachul Huda ◽  
Roslee Ahmad ◽  
Kamarul Azmi Jasmi ◽  
...  
Keyword(s):  
Learning Environment ◽  
Learning Process ◽  
Learning Analytics ◽  
Educational Institutions ◽  
Learning Resources ◽  
Personalised Learning ◽  
Report Data ◽  
Overall Performance ◽  
The Relationship ◽  
Specific Learning

This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is defined as a way to measure, collect, analyse and report data about learners and their context, for the purpose of understanding and optimizing learning. The paper concludes by highlighting framework of learning analytics in order to improve personalised learning. In addition, it is an endeavour to define the characterising features that represents the relationship between learning analytics and personalised learning environment. The paper proposes that learning analytics is dependent on personalised approach for both educators and students. From a learning perspective, students can be supported with specific learning process and reflection visualisation that compares their respective performances to the overall performance of a course. Furthermore, the learners may be provided with personalised recommendations for suitable learning resources, learning paths, or peer students through recommending system. The paper’s contribution to knowledge is in considering personalised learning within the context framework of learning analytics. 

THE PROCESSES AND STRATEGIES FOR DEVELOPING INNOVATIONS IN SCHOOLS

2016 ◽  
pp. 95-106
Author(s):  
B.L Raina
Keyword(s):  
Learning Process ◽  
Teacher Educators ◽  
Research Work ◽  
Educational Innovation ◽  
School Education ◽  
Educational Institutions ◽  
Individual Institution ◽  
Education In India ◽  
Teaching Learning

The paper attempts to discuss processes and strategies for innovations in schools. Committed and thoughtful teacher educators, translate their knowledge, expertise, skills and research work for bringing innovations in the teaching learning process in order to keep the system most engaged and updated. The notion of shared explicit philosophy of teaching learning is central, to innovations in the schools. There are mainly four responsible factors perceived in implementation of innovation in any organisation more so, in educational institutions, namely systems support, encouragement to creativity, autonomy and conformity. Fundamentals of innovations provide some insight in to the scope of educational innovation in school education in India. These are mostly based on unique personalised experiences of the learners and the learners retain centrality of focus. Rewards and recognition are the motivating force for fresh innovative ideas and practices. Individual, Institution and Implementation were three vital points for Innovation.

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