The crucial questions of our evaluation studies were the efficacy of a multimedia-based realization of the cognitive apprenticeship (CA) approach, the diagnosis of mental model progression through the CA based instruction, and the effects of implemented metacognitive training.
Experimenting on two RVC-CAL decoders, H.264 and MPEG4 Part2 SP, a coarse estimation model based on instructions per cycle (IPC) and the proposed PMC-driven model are compared.
The students' open feedback show that students enjoyed the PP based instruction more than the traditional instructions.
The experimental group received dynamic assessment based instruction while control group received a non-dynamic writing instruction.
Queue based instruction set architecture processor offers an attractive option in the design of embedded systems.
The findings support our claim that computer based instruction helps students to improve their writing skills.
The effectiveness of a multi-component computer based training package that consisted of competency based instructions, video modeling, and two forms of feedback was evaluated in terms of treatment integrity of two procedures across four staff.
We also propose a performance prediction model based on DMA transfers, number of instructions and operations, the processor frequency and DMA bandwidth.
We propose an analytical prediction model based on the hypothesis that each basic instruction has an average energy cost that can be estimated on a given architecture through a series of micro-benchmarks.
Cognition: picture based instructions, adapted toys and games, automatic reminders.
Develop a model based on theory.
