ISTE Coaching Standard 4.5b reads: “Build the capacity of educators, leaders, and instructional teams to put the ISTE Standards into practice by facilitating active learning and providing meaningful feedback”. Using the AI Tool, Scite, I posed the following idea, “how does ISTE Coaching Standard 4.5b apply to students affected by trauma”? Scite identified several articles […]
As computer science becomes integrated into K-12 education systems worldwide, educators and researchers continuously search for effective methods to measure and understand students’ learning levels in this field. The challenge lies in developing reliable and comprehensive assessment models that accurately and discreetly gauge student learning. Teachers must assess learning to support students’ educational needs better. …
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According to the U.S. Department of Education (2018), when students set learning goals, they are more likely to be motivated and gain self-management skills, further enhancing their academic achievements. The importance of goal-setting is also evident in research conducted by Bursztyn et al. (2020), which revealed that task-based goals can significantly improve completion rates and overall course performance among college…
ISTE Coaching Standard 4.5 Professional Learning Facilitator reads, “Coaches plan, provide and evaluate the impact of professional learning for educators and leaders on the use of technology to advance teaching and learning”. Standard 4.5c, expands upon this, and reads: Evaluate PD Impact– Evaluate the impact of professional learning and continually make improvements to meet the […]
Integrating Large Language Models (LLMs) with automated text analysis tools offers a novel approach to interpreting student course feedback. As educators and administrators strive to refine teaching methods and enhance learning experiences, leveraging AI’s capabilities could unlock more profound insights from student feedback. Traditionally seen as a vast collection of qualitative data filled with sentiments, …
Question: How can Edtech coaches assist world language teachers in interpreting qualitative and quantitative student data using formative AI? Solution: In world language classes, understanding and interpreting quantitative and qualitative student data could provide an overview of student progress and challenges, enhancing the effectiveness of instruction. Quantitative data offers objective benchmarks of progress and proficiency, allowing for tracking learning outcomes over time. Qualitative data adds…
ISTE Coaching Standard 4.6 Data-Driven Decision Maker reads, “Coaches model and support the use of qualitative and quantitative data to inform their own instruction and professional learning”. Standard 4.6.a, expands upon this, and reads: Facilitate Data Collection and Analysis – Assist educators and leaders in securely collecting and analyzing student data. My focus of study […]
Learning world languages is a critical skill for students in a global world. It is part of their high school graduation requirement and a way to earn college credit in advance. Educators should ensure that students gain world language skills by collecting relevant data and using the right tools for assessing and enhancing language skills (LSU, 2020). Student data collection…
Technology plays a crucial role in teaching computer science and programming concepts to K-12 teachers. The most effective technology tools include interactive coding platforms such as Scratch, Snap! and Blockly. These tools provide a user-friendly interface and visual coding blocks, allowing students to learn programming concepts through hands-on activities and projects (Kashif Amanullah & Bell, …
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