A Sequential Sentence Paradigm Using Revised PRESTO Sentence Lists.

BACKGROUND: Listening in challenging situations requires explicit cognitive resources to decode and process speech. Traditional speech recognition tests are limited in documenting this cognitive effort, which may differ greatly between individuals or listening conditions despite similar scores. A sequential sentence paradigm was designed to be more sensitive to individual differences in demands on verbal processing during speech recognition. PURPOSE: The purpose of this study was to establish the feasibility, validity, and equivalency of test materials in the sequential sentence paradigm as well as to evaluate the effects of masker type, signal-to-noise ratio (SNR), and working memory (WM) capacity on performance in the task. RESEARCH DESIGN: Listeners heard a pair of sentences and repeated aloud the second sentence (immediate recall) and then wrote down the first sentence (delayed recall). Sentence lists were from the Perceptually Robust English Sentence Test Open-set (PRESTO) test. In experiment I, listeners completed a traditional speech recognition task. In experiment II, listeners completed the sequential sentence task at one SNR. In experiment III, the masker type (steady noise versus multitalker babble) and SNR were varied to demonstrate the effects of WM as the speech material increased in difficulty. STUDY SAMPLE: Young, normal-hearing adults (total n = 53) from the Purdue University community completed one of the three experiments. DATA COLLECTION AND ANALYSIS: Keyword scoring of the PRESTO lists was completed for both the immediate- and delayed-recall sentences. The Verbal Letter Monitoring task, a test of WM, was used to separate listeners into a low-WM or high-WM group. RESULTS: Experiment I indicated that mean recognition on the single-sentence task was highly variable between the original PRESTO lists. Modest rearrangement of the sentences yielded 18 statistically equivalent lists (mean recognition = 65.0%, range = 64.4-65.7%), which were used in the sequential sentence task in experiment II. In the new test paradigm, recognition of the immediate-recall sentences was not statistically different from the single-sentence task, indicating that there were no cognitive load effects from the delayed-recall sentences. Finally, experiment III indicated that multitalker babble was equally detrimental compared to steady-state noise for immediate recall of sentences for both low- and high-WM groups. On the other hand, delayed recall of sentences in multitalker babble was disproportionately more difficult for the low-WM group compared with the high-WM group. CONCLUSIONS: The sequential sentence paradigm is a feasible test format with mostly equivalent lists. Future studies using this paradigm may need to consider individual differences in WM to see the full range of effects across different conditions. Possible applications include testing the efficacy of various signal-processing techniques in clinical populations.

Forecasting the student-professor matches that result in unusually effective teaching.

BACKGROUND: Two important influences on students' evaluations of teaching are relationship and professor effects. Relationship effects reflect unique matches between students and professors such that some professors are unusually effective for some students, but not for others. Professor effects reflect inter-rater agreement that some professors are more effective than others, on average across students. AIMS: We attempted to forecast students' evaluations of live lectures from brief, video-recorded teaching trailers. SAMPLE: Participants were 145 college students (74% female) enrolled in introductory psychology courses at a public university in the Great Lakes region of the United States. METHODS: Students viewed trailers early in the semester and attended live lectures months later. Because subgroups of students viewed the same professors, statistical analyses could isolate professor and relationship effects. RESULTS: Evaluations were influenced strongly by relationship and professor effects, and students' evaluations of live lectures could be forecasted from students' evaluations of teaching trailers. That is, we could forecast the individual students who would respond unusually well to a specific professor (relationship effects). We could also forecast which professors elicited better evaluations in live lectures, on average across students (professor effects). Professors who elicited unusually good evaluations in some students also elicited better memory for lectures in those students. CONCLUSIONS: It appears possible to forecast relationship and professor effects on teaching evaluations by presenting brief teaching trailers to students. Thus, it might be possible to develop online recommender systems to help match students and professors so that unusually effective teaching emerges.