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The pre-testing effect, also known as errorful generation or pre-questioning, is a related but distinct category where testing material before the material has been learned appears to lead to better subsequent learning performance than would have been the case without the pre-test, provided that feedback is given as to the correct answers once ...
In essence, testing of old information had a negative impact on learning new information, rather than the positive effect predicted by the forward testing effect. [13] These findings prompted another study to be conducted by Chan and Davis in 2015 which aimed to explain these findings which undermined the validity of the forward testing effect.
Washback effect refers to the impact of testing on curriculum design, teaching practices, and learning behaviors. [1] The influences of testing can be found in the choices of learners and teachers: teachers may teach directly for specific test preparation, or learners might focus on specific aspects of language learning found in assessments.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
The term Testing Effect is used to describe this increase in memory performance. [15] Taking notes by using a computer can also deter impactful learning, even when students are using computers solely for the purpose note-taking and are not attempting to multitask, during lectures or study sessions.
Learning goals - A teacher-developed description of what the student will know and be able to do at the end of a course based upon an overarching idea for the academic or elective discipline. A teacher will know that they have an effective learning goal when the knowledge or skill can be applied to life outside the classroom.
The purpose of standards-based assessment [5] is to connect evidence of learning to learning outcomes (the standards). When standards are explicit and clear, the learner becomes aware of their achievement with reference to the standards, and the teacher may use assessment data to give meaningful feedback to students about this progress.
This reduces the anxiety around testing and heightens the emphasis on the learning itself. [citation needed] Higher learning standards for all: In a system of continuous assessment, advanced students can progress through material at their own pace and remain engaged by pursuing more challenging work as they master the basics. [citation needed]