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Ha Nguyen; Victoria Nguyen; Sara Ludovise; Rossella Santagata – British Journal of Educational Technology, 2025
While offering the potential to support learning interactions, emerging AI applications like Large Language Models (LLMs) come with ethical concerns. Grounding technology design in human values can address AI ethics and ensure adoption. To this end, we apply Value-Sensitive Design--involving empirical, conceptual and technical investigations--to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, High Schools
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Suciati, Alfi; Adian, Tabita – Online Submission, 2018
This research aims to examine the eligibility of and responses from expert media, expert material, practitioners and students' on the 'Fun and Educative' biology module. The module was developed in a fun and educative way presenting various educative games. The research development model is using ADDIE model that consists of five phases: Analysis,…
Descriptors: Biology, Science Instruction, Educational Games, Models
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Tucker, Al – Tech Directions, 2011
Students enrolled in commercial arts program design and publish their school's yearbook. For the 2010-2011 school year, the students applied Quick Response (QR) code technology to include links to events that occurred after the yearbook's print deadline, including graduation. The technology has many applications in the school setting, and the…
Descriptors: Program Design, Student Projects, Yearbooks, Commercial Art
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O'Neill, D. Kevin; Asgari, Mahboubeh; Dong, Yi Ran – Mentoring & Tutoring: Partnership in Learning, 2011
What does it mean for a mentoring program to succeed? Most evaluations focus on participants' perceptions of success. Few studies employ an independent measure of the intended outcomes of the program, and fewer still examine both participant satisfaction and achievement. This article presents an example of how comparing data on perceived and…
Descriptors: Program Design, Mentors, Participant Satisfaction, Online Courses
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Roblyer, M. D.; Davis, Lloyd; Mills, Steven C.; Marshall, Jon; Pape, Liz – American Journal of Distance Education, 2008
Two lines of research have emerged to study the causes and prevention of student failure in virtual (K-12) schools: studies of learner characteristics and studies of learning environment characteristics. To develop a useful model for predicting failure and promoting success in virtual school environments, a study was designed to measure the…
Descriptors: Educational Environment, Student Attitudes, Educational Technology, Models
Carroll, Becky – Inverness Research, 2008
In this report, the author shares her perspective on ten years of science-rich programming for high school youth at the American Museum of Natural History. This report includes: (1) A discussion of the theory of action and the rationale that underlies the AMNH youth programs; (2) A description of three of the programs that have been offered and…
Descriptors: Program Design, Youth Programs, After School Programs, Museums