{"title":"评估社会注释工具的参与和学习与职前特殊教育教师","authors":"Abigail A. Allen, Kristina N. Randall","doi":"10.1108/ils-04-2023-0040","DOIUrl":null,"url":null,"abstract":"Purpose Empirical validation of educational technology is critical for best practice, particularly when courses are delivered online. This study aims to investigate the predictive relationship of usage behaviors on perceptions of 30 preservice special education teachers while reading in an online social annotation reading tool. Design/methodology/approach In this single-group quasi-experimental study, participants completed two readings in Perusall, once individually and once in small groups, then took a researcher-created survey after each reading. Descriptive data and paired sample t -tests were calculated. Predictive relationships between usage behaviors and survey results were analyzed with linear regression models. Findings Participants thought Perusall was useful for their learning and easier to use in small groups and that guided reading prompts were helpful. Usage behaviors did not significantly account for participant beliefs about Perusall. Instructors may wish to use guided reading prompts and small groups to maximize student learning and engagement. Originality/value This study addresses gaps in the literature (Suhre et al. , 2019; Sun et al. , 2023) by following one group of students over two semesters, using a commercially available tool, measuring actual usage behaviors and not solely student perceptions and analyzing instructor perceptions of the tool. The authors contribute further evidence that group-constructed knowledge is valuable for undergraduate learning (Kalir et al. , 2020b). The authors also provide data-based suggestions for the use of social annotation tools that maximize student learning and engagement.","PeriodicalId":44588,"journal":{"name":"Information and Learning Sciences","volume":"87 1","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating a social annotation tool for engagement and learning with preservice special education teachers\",\"authors\":\"Abigail A. Allen, Kristina N. Randall\",\"doi\":\"10.1108/ils-04-2023-0040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose Empirical validation of educational technology is critical for best practice, particularly when courses are delivered online. This study aims to investigate the predictive relationship of usage behaviors on perceptions of 30 preservice special education teachers while reading in an online social annotation reading tool. Design/methodology/approach In this single-group quasi-experimental study, participants completed two readings in Perusall, once individually and once in small groups, then took a researcher-created survey after each reading. Descriptive data and paired sample t -tests were calculated. Predictive relationships between usage behaviors and survey results were analyzed with linear regression models. Findings Participants thought Perusall was useful for their learning and easier to use in small groups and that guided reading prompts were helpful. Usage behaviors did not significantly account for participant beliefs about Perusall. Instructors may wish to use guided reading prompts and small groups to maximize student learning and engagement. 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引用次数: 0
摘要
教育技术的实证验证对于最佳实践至关重要,特别是当课程在线交付时。本研究旨在探讨30名职前特殊教育教师在阅读时使用社交注释阅读工具对认知的预测关系。设计/方法/方法在这个单组准实验研究中,参与者完成了两次Perusall的阅读,一次是单独的,一次是小组的,然后在每次阅读后接受研究人员设计的调查。计算描述性数据和配对样本t检验。利用线性回归模型分析使用行为与调查结果之间的预测关系。参与者认为Perusall对他们的学习很有用,在小组中更容易使用,引导阅读提示也很有帮助。使用行为对参与者对Perusall的看法没有显著影响。教师可能希望使用引导阅读提示和小组,以最大限度地提高学生的学习和参与。独创性/价值本研究解决了文献中的空白(Suhre等人,2019;Sun et al., 2023)通过在两个学期内跟踪一组学生,使用商业上可用的工具,测量实际使用行为,而不仅仅是学生的看法,并分析教师对该工具的看法。作者提供了进一步的证据,证明群体构建的知识对本科学习是有价值的(Kalir et al., 2020b)。作者还为使用社交注释工具提供了基于数据的建议,以最大限度地提高学生的学习和参与度。
Evaluating a social annotation tool for engagement and learning with preservice special education teachers
Purpose Empirical validation of educational technology is critical for best practice, particularly when courses are delivered online. This study aims to investigate the predictive relationship of usage behaviors on perceptions of 30 preservice special education teachers while reading in an online social annotation reading tool. Design/methodology/approach In this single-group quasi-experimental study, participants completed two readings in Perusall, once individually and once in small groups, then took a researcher-created survey after each reading. Descriptive data and paired sample t -tests were calculated. Predictive relationships between usage behaviors and survey results were analyzed with linear regression models. Findings Participants thought Perusall was useful for their learning and easier to use in small groups and that guided reading prompts were helpful. Usage behaviors did not significantly account for participant beliefs about Perusall. Instructors may wish to use guided reading prompts and small groups to maximize student learning and engagement. Originality/value This study addresses gaps in the literature (Suhre et al. , 2019; Sun et al. , 2023) by following one group of students over two semesters, using a commercially available tool, measuring actual usage behaviors and not solely student perceptions and analyzing instructor perceptions of the tool. The authors contribute further evidence that group-constructed knowledge is valuable for undergraduate learning (Kalir et al. , 2020b). The authors also provide data-based suggestions for the use of social annotation tools that maximize student learning and engagement.
期刊介绍:
Information and Learning Sciences advances inter-disciplinary research that explores scholarly intersections shared within 2 key fields: information science and the learning sciences / education sciences. The journal provides a publication venue for work that strengthens our scholarly understanding of human inquiry and learning phenomena, especially as they relate to design and uses of information and e-learning systems innovations.