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Student evaluations of teaching and learning are playing an increasingly important role in the delivery of high-quality, student-centred education. Insights into student perceptions of their learning experience provide important information that can be used to inform course design and development. The majority of course evaluations take the form of quantitative surveys, but research suggests that a reliance on survey data alone can be problematic from a teaching and learning perspective. Qualitative course evaluations have been cited as a viable alternative to quantitative evaluations, but less research has been conducted into their efficacy when compared to quantitative evaluations. The study on which this article reports attempted to contribute to addressing this shortcoming by describing and assessing a novel approach to eliciting qualitative feedback from students in a research methodology course at a higher education institution in South Africa. Conventional content analysis was used to analyse the qualitative feedback received from students. The qualitative course evaluation approach was then appraised in terms of the degree to which it has the potential to overcome the shortcomings associated with quantitative course evaluations and the extent to which the information gathered could be used to improve the design and delivery of the academic programme. 相似文献
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P. Clint Rogers Charles R. Graham Clifford T. Mayes 《Educational technology research and development : ETR & D》2007,55(2):197-217
The amount of resources being poured by Western universities, companies, and governments into creating educational content
to be exported (via the Internet) to other cultures is astounding. Those assigned to accomplish this task are left with the
great challenge of meeting the needs of learners who come from cultures that are foreign to them, and who often have very
different abilities and expectations than originally assumed. This study explores the cultural competence in the lived experience
of 12 professionals who have been involved with such efforts. Often they have had to question their assumptions, recognizing
flaws in their own thinking and in the organizations that support them, and tried to alter their practice accordingly. Their
awareness of cultural differences and the importance and impact of these differences in their practice will be discussed. 相似文献
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Clint R. Bellenger Rebecca L. Thomson Kade Davison Eileen Y. Robertson Maximillian J. Nelson Laura Karavirta 《Research quarterly for exercise and sport》2018,89(3):322-331
Purpose: Correlations between fatigue-induced changes in exercise performance and maximal rate of heart rate (HR) increase (rHRI) may be affected by exercise intensity during assessment. This study evaluated the sensitivity of rHRI for tracking performance when assessed at varying exercise intensities. Method: Performance (time to complete a 5-km treadmill time-trial [5TTT]) and rHRI were assessed in 15 male runners following 1 week of light training, 2 weeks of heavy training (HT), and a 10-day taper (T). Maximal rate of HR increase (measured in bpm·s?1) was the first derivative maximum of a sigmoidal curve fit to HR data recorded during 5 min of running at 8 km·h?1 (rHRI8km·h?1), and during subsequent transition to 13 km·h?1 (rHRI8–13km·h?1) for a further 5 min. Results: Time to complete a 5-km treadmill time-trial was likely slower following HT (effect size ± 90% confidence interval = 0.16 ± 0.06), and almost certainly faster following T (–0.34 ± 0.08). Maximal rate of HR increase during 5 min of running at 8 km·h?1 and rHRI8–13km·h?1 were unchanged following HT and likely increased following T (0.77 ± 0.45 and 0.66 ± 0.62, respectively). A moderate within-individual correlation was found between 5TTT and rHRI8km·h?1 (r value ± 90% confidence interval = –.35 ± .32). However, in a subgroup of athletes (n = 7) who were almost certainly slower to complete the 5TTT (4.22 ± 0.88), larger correlations were found between the 5TTT and rHRI8km·h?1 (r = –.84 ± .22) and rHRI8–13km·h?1 (r = –.52 ± .41). Steady-state HR during rHRI assessment in this group was very likely greater than in the faster subgroup (≥ 1.34 ± 0.86). Conclusion(s): The 5TTT performance was tracked by both rHRI8km·h?1 and rHRI8–13km·h?1. Correlations between rHRI and performance were stronger in a subgroup of athletes who exhibited a slower 5TTT. Individualized workloads during rHRI assessment may be required to account for varying levels of physical conditioning. 相似文献
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