The recent release of the Next Generation Science Standards (NGSS) offers a new challenge and opportunity for science. Science practices are the social interactions, tools and language that scientist use as they construct, evaluate and communicate scientific knowledge. The effective integration of science practices into classrooms can better support a wide range of students, including those typically underrepresented in science, to develop greater scientific literacy.
Effective integration of science practices in classrooms requires instructional leadership to support that change. Instructional leaders can include a variety of different individuals including, but not limited to, school principals, district leaders, coaches and lead teachers. The ILSP team is developing tools to support instructional leaders in the science practices.
Vision
Our vision for supporting instructional leaders in their work with teachers to improve science teaching and learning stems from our approach to instructional supervision and science instruction.
Our orientation to supervision is rooted in the importance of strong instructional leadership. We seek to support leaders in their work with teachers as they promote a growth mindset, foster frequent and ongoing opportunities for feedback, sustain a commitment to teacher development over time, and engage in collaborative practices.
A collaborative online whiteboard for business and education. Be more productive - have your ideas, sketches, and concepts on any device, anytime, anywhere.
PrimaryPad is a web-based word processor designed for schools that allows pupils and teachers to work together in real-time. Look below to see how it works
Twiddla is a free, no-setup, web-based meeting playground. Mark up websites, graphics, and photos, or start brainstorming on a blank canvas. Voice and Text chat too!
Curatr is the award-winning social learning platform from HT2 which enables rapid delivery of innovative, gamified courses that really get people talking.
Just over 10 years ago, Educational Review published an article “Reconceiving argument” by Richard Andrews. In the article, Andrews traced some of the changes in the conception of argument that had taken place within educational contexts (primarily within the UK) over the previous few years. An important aim of the authors’ article is to consider whether there is any evidence that the (re)conceptualization of argument discussed in Andrews’ article has permeated educational theory and practice in the last 10 years. Specifically they will consider his invocation of new metaphors to conceive of the argumentation process as more akin to a dialogic exchange in contrast to adversarial combat. They question whether such a framing diminishes the value of conflict and confrontation in the argumentation process.
Computer science as a field requires curricular guidance, as new innovations are filtered into teaching its knowledge areas at a rapid pace. Furthermore, another trend is the growing number of students with different cultural backgrounds. These developments require taking into account both the differences in learning styles and teaching methods in practice in the development of curricular knowledge areas. In this paper, an intensive collaborative teaching concept, Code Camp, is utilized to illustrate the effect of learning styles on the success of a course. Code Camp teaching concept promotes collaborative learning and multiple skills and knowledge in a single course context. The results indicate that Code Camp as a concept is well liked, increases motivation to learn and is suitable for both intuitive and reflective learners. Furthermore, it appears to provide interesting creative challenges and pushes students to collaborate and work as a team. In particular, the concept also promotes intuition.
X. He, L. Liao, H. Zhang, L. Nie, X. Hu, и T. Chua. Proceedings of the 26th International Conference on World Wide Web, стр. 173–182. Republic and Canton of Geneva, CHE, International World Wide Web Conferences Steering Committee, (2017)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
P. Melville, R. Mooney, и R. Nagarajan. Eighteenth National Conference on Artificial Intelligence, стр. 187--192. Menlo Park, CA, USA, American Association for Artificial Intelligence, (2002)