240 likes | 396 Views
Student/Learner Response Systems. Sara Becker EDUC 7101. Need. Engage Students Increase academic achievement Immediate Assessment. Research. Benefits: Improved attendance Improved interaction/engagement Increased test scores. Research. Problems: Set-up time
E N D
Student/Learner Response Systems Sara Becker EDUC 7101
Need • Engage Students • Increase academic achievement • Immediate Assessment
Research • Benefits: • Improved attendance • Improved interaction/engagement • Increased test scores
Research • Problems: • Set-up time • Expense of initial purchase • Limitations in types of questions that can be asked/answered
Development • Intended audience: classroom teachers (K-12, College/University)
Commercialization • Students answer anonymously and without embarrassment • Compatibility • Data Analysis
Commercialization • Packaged in classroom set • Durable, kid-friendly, easy to use
Timeline • 1960s: earliest systems used by movie and tv studios and advertising agencies • 1980s-1990s:For Educational purposes- universities were the earliest adopters
Timeline (continued) • 2004- Promethean releases Activ Votes • 2008- Promethean releases Activ Expressions with the ability to respond by texting. • Many K-12 schools that have adopted student response systems fall into the “early majority” category.
Timeline (continued) • Late majority will continue to be K-12 schools. • Laggards will be individual teachers who hesitate to integrate the technology.
S-Curve Individual Teachers Some K-12 Schools Other K-12 School Systems Universities-late 1980s Movie & TV Studios-1960 Where we are currently
Key Innovators/Early Adopters Technology-minded Teachers
Strategies for Persuasion • Pilot Program • Teachers involved will present to faculty at the end of trial period
Laggards • 4th grade teacher Mrs. “C” • Suggest that she observes a classroom that uses the system effectively to help move her towards adoption.
Attributes of Innovations • Relative advantage with a focus on economic factors.
Change Agents • Centralized Diffusion Approach • Change agent should be someone focused on data-driven instruction • Ms. “K” would serve as a great change agent for this innovation.
Change Agent-Roles • Develop need for change- make collection and analysis of data easier • Establish information exchange relationship- Ms. “K” is already respected as a leader in the school with the use of data. • Diagnose problems- the teacher will work with other teachers who are having difficulty collecting/analyzing data
Change Agent-Roles • Create an intent to change in client- Ms. “K” will work with the technology liason in the school to help promote the use of ActivVotesas a way to more easily collect/analyze data to drive instruction • Translate an intent into action- Ms. “K”& tech expert will work as opinion leaders to motivate other teachersto adopt
Change Agent-Roles • Stabilize adoption, prevent discontinuance- Ms. “K” and tech expert will work together to ensure faculty are trained in the appropriate and effective use of student response system. • Achieve a terminal relationship- Ms. K and tech expert promote continued use of response system until faculty become proficient and self-reliant.
Critical Mass? • Critical mass has been reached within in the county.
Collective-Innovation Decision • Decision should be made this way to involve more of the staff in the adoption/implementation process • Increased involvement in the process will help promote the benefits of the innovation.
Champion • Defining the need: improving data collection and analysis • Matching innovation to need: ActiVotes