The phrase "adaptive instructions" is correct and usable in written English.
It can be used in contexts where instructions are tailored or modified to suit different needs or situations.
Example: "The software provides adaptive instructions that change based on the user's skill level and preferences."
Alternatives: "customized instructions" or "tailored guidelines".
Besides, the navigational data and learning trajectories recorded by the eSchoolbag system have great implications for adaptive instructions and real-time scaffoldings.
The lack of differences between inhibition functions could be due to the adaptive instructions.
The widely reported finding that children with AD/HD display more variable reaction-times could not be replicated here, maybe also because of the adaptive instructions.
These adaptive instructions prevent undesired strategies in performing the task, such as extreme speed-accuracy-tradeoffs yielding very frequent or very rare Stops at the fixed medium SSD [ 27].
Adaptive instruction focuses on textual presentation and support services that adapt to meet the needs of the user in the best way possible; however, even within this meaning the term often describes at least two different instructional service strategies: strategies that are homeostatic and those that are truly adaptive in the same sense that control systems engineers use the term.
New firms, such as DreamBox and Knewton, have joined more established companies like Achieve3000 and Carnegie Learning in providing "intelligent tutors" for "adaptive instruction" or "personalized learning".
As highlighted by a recent meta-analysis (Kulik & Fletcher, 2016), research and development within the domain of ITS has demonstrated the technical feasibility and relative effectiveness of computer-based adaptive instruction as compared to classroom and small group instruction.
This work proposes a novel Adaptive Instruction Codec Architecture (AICA) for network-on-chip (NoC) that improves channel utilization to transfer packets and flits, in order to solve issues of power consumption and throughput.
One leading effort, the Open Learning Initiative at Carnegie Mellon University, is pioneering technology-based teaching techniques that use personalized "adaptive" instruction.
Details include how the system diagnoses students' error types in English prepositions and provides adaptive remedial instructions.
This paper proposes HOTISE, an architecture framework for adaptive reconfigurable instruction set processors (RISP) with dynamic profiling and dataflow analysis.
