{"title":"提高学生注意力的两层即时反馈评估策略。","authors":"Kai-Yin Lin","doi":"10.1097/CIN.0000000000000847","DOIUrl":null,"url":null,"abstract":"<p><p>In this study, a two-tier instant-feedback assessment model was constructed using the Zuvio instant-feedback system and oral questions; this model was applied to conduct formative assessments for an introductory computer course. We adopted a one-group pretest-posttest approach with 52 first-year nursing students. The course ran for 6 weeks with two classes per week. The course content of mBlock language and the educational robotic kit mbot was introduced in the first 2 weeks. From the third to the sixth week, the two-tier instant assessment strategy was added. At the end of the teaching experiment, surveys on concentration and course satisfaction were administered. Our results were as follows: (1) two-tier instant-feedback assessment can enhance student concentration, as the results showed that students' concentration improved; (2) in the subscale, the \"competitive selection\" dimension reached a significant difference; and (3), the students held positive views toward the incorporation of two-tier instant-feedback assessment into the course.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":"447-454"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Two-Tier Instant-Feedback Assessment Strategy for Improvement of Student Concentration.\",\"authors\":\"Kai-Yin Lin\",\"doi\":\"10.1097/CIN.0000000000000847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this study, a two-tier instant-feedback assessment model was constructed using the Zuvio instant-feedback system and oral questions; this model was applied to conduct formative assessments for an introductory computer course. We adopted a one-group pretest-posttest approach with 52 first-year nursing students. The course ran for 6 weeks with two classes per week. The course content of mBlock language and the educational robotic kit mbot was introduced in the first 2 weeks. From the third to the sixth week, the two-tier instant assessment strategy was added. At the end of the teaching experiment, surveys on concentration and course satisfaction were administered. Our results were as follows: (1) two-tier instant-feedback assessment can enhance student concentration, as the results showed that students' concentration improved; (2) in the subscale, the \\\"competitive selection\\\" dimension reached a significant difference; and (3), the students held positive views toward the incorporation of two-tier instant-feedback assessment into the course.</p>\",\"PeriodicalId\":520598,\"journal\":{\"name\":\"Computers, informatics, nursing : CIN\",\"volume\":\" \",\"pages\":\"447-454\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers, informatics, nursing : CIN\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/CIN.0000000000000847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers, informatics, nursing : CIN","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CIN.0000000000000847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-Tier Instant-Feedback Assessment Strategy for Improvement of Student Concentration.
In this study, a two-tier instant-feedback assessment model was constructed using the Zuvio instant-feedback system and oral questions; this model was applied to conduct formative assessments for an introductory computer course. We adopted a one-group pretest-posttest approach with 52 first-year nursing students. The course ran for 6 weeks with two classes per week. The course content of mBlock language and the educational robotic kit mbot was introduced in the first 2 weeks. From the third to the sixth week, the two-tier instant assessment strategy was added. At the end of the teaching experiment, surveys on concentration and course satisfaction were administered. Our results were as follows: (1) two-tier instant-feedback assessment can enhance student concentration, as the results showed that students' concentration improved; (2) in the subscale, the "competitive selection" dimension reached a significant difference; and (3), the students held positive views toward the incorporation of two-tier instant-feedback assessment into the course.