Reading:
The Bedford Researcher – pp. 51-55.
Task:
Answer the following questions, and please number them as numbered below..
First, post your original Research Question from your Week One Proposal.
What feedback did you receive on it from your instructor and others? What did you find helpful from this feedback?
Using your reading this week and the feedback you received, post a refined draft of your Research Question.
Why is this a better question? How is it argumentative? What different views are there on this topic? What stance are you likely to take?
What is your answer to your Research Question? Write a single sentence that fully answers it. This will be a revised draft of your thesis statement.
Next, conduct a search using Keiser’s e-Library databases. Post an APA citation to one scholarly source you located through Keiser’s e-Library.
Provide a summary of the source. For instance, what does it say? What are its findings? Why is it relevant in the field?
Provide an application of the source. How does this source help you answer your Research Question? Where specifically might you use this source in your actual paper?
Unless directed otherwise by your instructor, you may include a revised version of this annotation in your Week 2 Assignment. Remember, these should be secondary sources such as peer reviewed articles and editorial information.
. This week, we were focused on getting some ideas out on your paper. I really like the idea of exploring AI’s role in K-12 education.
During Week 2, we will focus on reflecting on the feedback you received. This includes going into your Week 1 Discussion thread as well as reading the Week 1 Proposal feedback.
Discussion Week 1
1. Argumentative Topic and Research Question
Topic: The Role of Technology in Shaping Modern Education
Research Question: How has the integration of artificial intelligence (AI) in education impacted teaching effectiveness and student engagement?
Step 2: Commentary on the Two Sources
Source 1:
Artificial Intelligence Learning in General Education for Non-Engineering Undergraduate Students.
This study focuses on integrating AI literacy into general education for non-engineering students. It uses a three-week curriculum with hands-on activities and surveys to measure improvements in AI literacy and awareness of ethical issues. The study concludes that this form of learning activity is particularly effective in enhancing the understanding of AI among nontechnical students, especially the ethical dimensions, and it provides a guideline for educators who introduce AI into general education.
Source 2:
Capacity Building for Student Teachers in Learning, Teaching Artificial Intelligence for Quality of Education.
This article assesses the use of AI in teacher education programs to improve teaching quality. It draws on qualitative data from student teachers, underlining the imperative of personalized learning and inclusivity. Concerns about potential limitations, such as AI bias and over-reliance on technology, are raised. Therefore, it points to the necessity of training future educators to apply AI thoughtfully and sustainably.
Step 3: Relation to the Topic
Both sources are closely related to the Role of Technology in Shaping Modern Education. Lin et al. focus on the role of AI in developing AI literacy and ethics among students, while Altinay et al. discuss how AI is integrated into teacher training programs for personalized learning. In this way, they contribute to a holistic understanding of how technology is transforming education by addressing the impact of AI on both learners and educators.
Step 4: Relationship Between the Sources
The two sources are complementary since each addresses different but related aspects of artificial intelligence in education.
Lin et al. (2021) investigate AI’s impact on students’ literacy and ethics, providing quantitative insights into learning outcomes.
Altinay et al. (2024) investigate teacher perceptions and capacity-building using AI. The article develops a qualitative perspective on how AI might enrich teaching.
Both of them emphasize the ethical aspects, together with the requirement for inclusiveness, as a sign of a balanced introduction of artificial intelligence into educational institutions—maximizing its benefits while eliminating its potential drawbacks.
Step 5: Reflection, Questions, and Contribution
What the sources add to knowledge:
Lin et al. (2021) demonstrate that STEM-based curricula can improve AI literacy and ethical awareness, particularly for non-technical audiences.
Altinay et al. (2024) highlight the need for training programs that equip educators to use AI effectively, promoting sustainable and inclusive education.
Questions raised:
How do AI literacy and ethical awareness translate into long-term societal benefits?
What specific strategies can address the risks of bias and over-reliance on AI in education?
How do AI’s applications differ in various educational contexts (urban vs. rural)?
