TRANSLATOR TASK 7
TRANSLATOR: ADRIANA
CONCEPTS
In this seventh
task we chose the following concepts, the first one is related to the geek
component, the second one is focused on the methodological-pedagogical aspect
and the other two concepts are related to the theoretical framework.
GEEK
COMPONENT
Data
Privacy in Educational Technology
Definition:
Data privacy in educational technology refers to the protection of student’s personal
information collected and processed by digital tools and platforms used in
education. This includes ensuring that data is securely stored, only accessed
by authorized individuals, and used in compliance with privacy laws such as
GDPR or FERPA. In the context of this task, tools like Google Classroom, Zoom,
and other e-learning platforms must adhere to strict data privacy standards to
protect students' information.
References:
·Zeide,
E. (2017). The Promise and Peril of Educational Technology: Protecting Student
Privacy. Journal of Educational Technology & Society, 20(1),
249-252.
This article discusses the challenges of protecting student privacy in the
context of educational technology, providing insights into the risks and best
practices for data protection.
·Federal
Trade Commission (FTC). (2012). Protecting Student Privacy While Using Online
Educational Services.
This report by the FTC outlines guidelines for educational institutions and
technology providers to ensure student data privacy, aligning with the need to
evaluate tools for privacy compliance in this task.
These references highlight the importance of data privacy in educational
technology, which is directly relevant to the task of evaluating tools for
classroom use. They provide a foundation for understanding how to assess the
privacy features of the tools we are using, ensuring that students' data is
protected.
METHODOLOGICAL-PEDAGOGICAL
ASPECT
Rubric-Based
Evaluation of eLearning Tools
Definition:
Rubric-based evaluation of eLearning tools involves using a structured
framework to assess the effectiveness, usability, and educational value of
digital tools. The rubric typically includes criteria such as ease of use,
accessibility, engagement, and alignment with learning objectives. In this
task, we are using a rubric to evaluate tools like Google Classroom, Zoom, and
other platforms to determine their suitability for educational purposes.
References:
·Brooks,
D. C., & Pomerantz, J. (2017). ECAR Study of Undergraduate Students and
Information Technology. EDUCAUSE Review.
This study provides insights into how students interact with eLearning tools
and the importance of using rubrics to evaluate their effectiveness.
·Ko, S.,
& Rossen, S. (2017). Teaching Online: A Practical Guide. Routledge.
This book offers practical guidance on evaluating and selecting eLearning
tools, including the use of rubrics to assess their pedagogical value.
These references support the use of rubric-based evaluation in the task,
providing a methodological framework for assessing the tools. They emphasize
the importance of structured evaluation in ensuring that the tools we use are
effective and aligned with educational goals.
THEORETICAL
FRAMEWORK
Constructivism
in Technology-Enhanced Learning
Definition:
Constructivism is a learning theory that posits that learners actively
construct knowledge through experiences and interactions. In
technology-enhanced learning, tools like Google Classroom, Zoom, and other
digital platforms enable students to engage in collaborative and interactive
learning experiences, allowing them to construct knowledge dynamically.
References:
·Jonassen,
D. H. (1999). Designing Constructivist Learning Environments. In C. M.
Reigeluth (Ed.), Instructional-Design Theories and Models: A New
Paradigm of Instructional Theory (pp. 215-239). Lawrence Erlbaum
Associates.
This chapter discusses how technology can be used to create constructivist
learning environments, which is relevant to the tools we are evaluating.
·Papert,
S. (1993). The Children’s Machine: Rethinking School in the Age of the
Computer. Basic Books.
Papert’s work on constructionist learning highlights the role of technology in
enabling students to build knowledge through hands-on experiences, which is
directly applicable to the tools we are assessing.
These references provide a theoretical foundation for understanding how the
tools we are evaluating support constructivist learning. They emphasize the
importance of interactive and collaborative features in fostering active
learning.
Connectivism
in Digital Education
Definition:
Connectivism is a learning theory for the digital age, emphasizing that
learning occurs through networks and connections between people, ideas, and
resources. Digital tools like Google Classroom, social media, and online
collaboration platforms facilitate this networked learning process, allowing
students to learn through interactions and shared knowledge.
References:
·Siemens,
G. (2005). Connectivism: A Learning Theory for the Digital Age. International
Journal of Instructional Technology and Distance Learning, 2(1), 3-10.
This seminal paper introduces connectivism as a learning theory, explaining how
digital networks facilitate learning in the 21st century.
·Downes,
S. (2012). Connectivism and Connective Knowledge: Essays on Meaning and
Learning Networks. National Research Council Canada.
This collection of essays expands on the principles of connectivism, providing
a theoretical foundation for understanding networked learning in digital
education.
These references explain how digital networks facilitate learning, connecting
to the rise of tools like Google Classroom and Zoom. This concept emphasizes
the importance of collaboration and networked learning in the digital age,
which is directly relevant to the task of evaluating these tools.
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