Developing a Microanalytic Self-regulated Learning Assessment Protocol for Biomedical Science Learning

Background & Objective: Self-regulated learning (SRL) is highly task and context dependent. Microanalytic assessment method measures students’ SRL processes while performing a particular learning task. The present study aimed to design a microanalytic SRL assessment protocol for biomedical science learning. Methods: This mixed method study was conducted in Tehran University of Medical Sciences, Iran, in 2013. The data collection tool was a microanalytic SRL assessment protocol that was designed based on the literature review, expert opinion, and cognitive interview with medical students, and then, piloted. The participants consisted of 13 second year medical students. The subjects were interviewed while conducting a biomedical science learning task. Interviews were recorded, transcribed and coded based on a predetermined coding framework. Descriptive statistics were used to analyze the data. Results: The microanalytic SRL assessment protocol was developed in three parts; interview guide, coding framework, and biomedical science learning task. An interview guide was designed consisting of 6 open-ended questions aimed at assessing 5 SRL sub-processes of goal setting, strategic planning, meta-cognitive monitoring, causal attribution, and adaptive inferences and a close-ended question regarding self-efficacy. Based on the pilot study, most participants reported task-specific and task-general processes for the sub-processes of strategic planning (92%), metacognitive monitoring (77%), causal attribution (85%), and adaptive inferences (92%). Conclusion: The developed protocol could capture the fine-grained nature of the self-regulatory sub-processes of medical students for biomedical science learning. Therefore, it has the potential application of modifying SRL processes in early years of medical school. Key Words: Self-regulated learning, Microanalytic assessment method, Biomedical science learnin

Maturity impact on physicochemical composition and polyphenol properties of extra virgin olive oils obtained from Manzanilla, Arbequina, and Koroneiki varieties in Iran

Abstract This study investigated the physicochemical properties and polyphenol composition of extra virgin olive oils (EVOOs) extracted from three olive cultivars. The investigated cultivars were Arbequina, Koroneiki, and Manzanilla, grown in Olive Research Station in Rudbar county, Gilan province, Iran, at three ripening stages. Several parameters were analyzed, including peroxide and acidity values, unsaponifiable matter, oxidative stability, total aliphatic alcohols, fatty acids (FAs), sterols, and triacylglycerol composition. The results showed that as maturity increased, parameters such as oil content, acidity value, and iodine value, rise, while parameters including peroxide value, oxidative stability, aliphatic alcohols, and unsaponifiable matter decreased (p  .05). The MUFA/PUFA ratio and total sterol content declined during the olive ripening stages (p < .05). The triterpenes decreased in Arbequina and Koroneiki cultivars but increased in Manzanilla cultivar during the maturity stages. According to the data, oleuropein decreased while oleuropein aglycone, oxidized aldehyde, and hydroxylic form of oleuropein increased for all EVOOs during maturation. Apigenin, quercetin, ligstroside aglycone, aldehyde and hydroxylic form, ferulic acid, caffeic acid, and catechin decreased during the ripening of fruits (p < .05). The main triglycerides were triolein (OOO), palmitodiolein (POO), dioleolinolein (OOL), and palmitooleolinolein (PLO) in all EVOOs. In addition, the olive cultivar and harvesting date influence the physicochemical properties and polyphenol composition of EVOOs extracted from olive varieties grown in one region. In conclusion, the results can present helpful information to determine the optimum maturity stage for the investigated olive cultivars