Giora Alexandron
Biographic Data
| ID | 9494180 |
|---|---|
| NAME | Giora Alexandron |
| GIVEN NAMES | Giora |
| FAMILY NAME | Alexandron |
| SIGNATURE | ALEXANDRON G |
| AFFILIATIONS | Department of Science Teaching Weizmann Institute of Science Rehovot Israel |
| ORCID | 0000-0003-2676-6912 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Preparing in-service science teachers for the AI era
As artificial intelligence (AI), and particularly Generative AI (GenAI), is increasingly being integrated into education, preparing teachers for the AI era is essential. This study presents the design, implementation, and evaluation of a graduate-level course for in-service STEM teachers; it was designed according to six established principles of effective teacher professional development (PD) and structured around the United Nations Educational,…
Reflective prompt engineering
The educational landscape is rapidly evolving, driven by Generative Artificial Intelligence (GenAI) advancements. As GenAI transforms educational practices, a key area of impact is developing automatic scoring systems to efficiently and accurately assess students’ problem-solving and explanation skills. This study introduces a novel prompt engineering strategy, Reflective Prompt Engineering (RPE), which applies iterative human-AI collaboration th…
Recommender systems for teachers
Causal‐mechanical explanations in biology
One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time‐consuming, and teachers often do not have a clear definition of the educational goals for formulating scientific explanations. Consequently, teachers struggle to support their students in…
The effects of assessment design on academic dishonesty, learner engagement, and certification rates in Moocs
Evaluating a learning analytics dashboard to detect dishonest behaviours
Trustworthy remote assessments
Teachers' trust in AI ‐powered educational technology and a professional development program to improve it
Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI‐specific misconceptions, myths and fears (e.g., mass unemployment and privacy violations). In recent years, AI has been incorporated increasingly into K‐12 education. However, little resea…
No prominent works on this page.
Evaluating a learning analytics dashboard to detect dishonest behaviours
Trustworthy remote assessments
Teachers' trust in AI ‐powered educational technology and a professional development program to improve it
Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI‐specific misconceptions, myths and fears (e.g., mass unemployment and privacy violations). In recent years, AI has been incorporated increasingly into K‐12 education. However, little resea…
The effects of assessment design on academic dishonesty, learner engagement, and certification rates in Moocs
Recommender systems for teachers
Causal‐mechanical explanations in biology
One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time‐consuming, and teachers often do not have a clear definition of the educational goals for formulating scientific explanations. Consequently, teachers struggle to support their students in…
Reflective prompt engineering
The educational landscape is rapidly evolving, driven by Generative Artificial Intelligence (GenAI) advancements. As GenAI transforms educational practices, a key area of impact is developing automatic scoring systems to efficiently and accurately assess students’ problem-solving and explanation skills. This study introduces a novel prompt engineering strategy, Reflective Prompt Engineering (RPE), which applies iterative human-AI collaboration th…
Preparing in-service science teachers for the AI era
As artificial intelligence (AI), and particularly Generative AI (GenAI), is increasingly being integrated into education, preparing teachers for the AI era is essential. This study presents the design, implementation, and evaluation of a graduate-level course for in-service STEM teachers; it was designed according to six established principles of effective teacher professional development (PD) and structured around the United Nations Educational,…
Computer Science (7 works) · Online Learning and Analytics (6 works) · Psychology (6 works) · Mathematics education (5 works) · Academic integrity and plagiarism (3 works) · Cheating (3 works) · Data science (3 works) · Science education (3 works) · Social Psychology (3 works) · Academic Dishonesty (2 works)