{"title":"Deliberations about digital learning: finding a way forward","authors":"Denise Whitelock","doi":"10.1080/02680513.2022.2081071","DOIUrl":null,"url":null,"abstract":"We know that learning is a complex business, and various theories emphasise different facets of learning (Illeris, 2009) which leaves problems about how we study learning and the technologies used to facilitate learning (Laurillard, 2002). Learning can become even more difficult when the delivery medium changes and students are charting new waters as during the pandemic when teaching and learning was delivered completely online. The OpenVoices on COVID-19 special issue of Open Learning (Whitelock et al., 2021) reflected upon the shift to online learning, prompting changes to teaching, learning and assessment, emphasising approaches that have been tested and shown to be effective in enabling students’ growth and development. This issue continues to highlight further deliberations around digital learning and how it supports student success. One of the major questions for both students and teachers alike, when moving into an emergency digital ecosystem, is how will learners cope in order to succeed? The first paper in this edition, by Alqurashi (2022), throws some light on this question. Alqurashi used publicly available data from a United States National Survey of Student Engagement analysing over 16,500 responses from undergraduates designated as high or low performers, who took all their courses on line. The purpose of the study was to investigate whether there was a difference between high and low achieving students’ engagement compared to their subsequent course achievement. Alqurashi selected seven engagement indicators that focussed on teaching and learning practices: higher-order learning, reflective and integrative learning, learning strategies, quantitative reasoning, collaborative learning, student–faculty interaction and effective teaching practices. The statistical analysis revealed that high achieving students were significantly higher than low achieving students in higher-order learning, effective learning strategies, effective teaching practices, and reflective and integrative learning. The interesting finding for course design and resourcing was that low achieving students were significantly higher than high achieving students in student–faculty interaction, suggesting more help is sought from tutors by the lower achieving students. The study can only speculate on the type of help sought by these students from staff. However, using lack of engagement as reported by Herodotou et al. (2020) can act as a pre indicator of drop out which in turn alerts tutors to provide further support. No differences were found in the collaborative learning variable, when it could be postulated that lower achieving students would seek more support from their peers through the use of online discussion forums. The second paper by Griffin and Roy (2022) employed a suite of studies to investigate the efficacy of online discussion forums. This research was conducted with students from the UK’s Open University with 429 responses to questions sent to 5,748 students. Although the overall response rate was only 7.5%, the postgraduate module responses were higher. The questions probed student perspectives on their feelings when participating in ‘tutor group’ forums. They found both negative and positive student OPEN LEARNING: THE JOURNAL OF OPEN, DISTANCE AND E-LEARNING 2022, VOL. 37, NO. 3, 215–218 https://doi.org/10.1080/02680513.2022.2081071","PeriodicalId":46089,"journal":{"name":"Open Learning","volume":"37 1","pages":"215 - 218"},"PeriodicalIF":3.2000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02680513.2022.2081071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
We know that learning is a complex business, and various theories emphasise different facets of learning (Illeris, 2009) which leaves problems about how we study learning and the technologies used to facilitate learning (Laurillard, 2002). Learning can become even more difficult when the delivery medium changes and students are charting new waters as during the pandemic when teaching and learning was delivered completely online. The OpenVoices on COVID-19 special issue of Open Learning (Whitelock et al., 2021) reflected upon the shift to online learning, prompting changes to teaching, learning and assessment, emphasising approaches that have been tested and shown to be effective in enabling students’ growth and development. This issue continues to highlight further deliberations around digital learning and how it supports student success. One of the major questions for both students and teachers alike, when moving into an emergency digital ecosystem, is how will learners cope in order to succeed? The first paper in this edition, by Alqurashi (2022), throws some light on this question. Alqurashi used publicly available data from a United States National Survey of Student Engagement analysing over 16,500 responses from undergraduates designated as high or low performers, who took all their courses on line. The purpose of the study was to investigate whether there was a difference between high and low achieving students’ engagement compared to their subsequent course achievement. Alqurashi selected seven engagement indicators that focussed on teaching and learning practices: higher-order learning, reflective and integrative learning, learning strategies, quantitative reasoning, collaborative learning, student–faculty interaction and effective teaching practices. The statistical analysis revealed that high achieving students were significantly higher than low achieving students in higher-order learning, effective learning strategies, effective teaching practices, and reflective and integrative learning. The interesting finding for course design and resourcing was that low achieving students were significantly higher than high achieving students in student–faculty interaction, suggesting more help is sought from tutors by the lower achieving students. The study can only speculate on the type of help sought by these students from staff. However, using lack of engagement as reported by Herodotou et al. (2020) can act as a pre indicator of drop out which in turn alerts tutors to provide further support. No differences were found in the collaborative learning variable, when it could be postulated that lower achieving students would seek more support from their peers through the use of online discussion forums. The second paper by Griffin and Roy (2022) employed a suite of studies to investigate the efficacy of online discussion forums. This research was conducted with students from the UK’s Open University with 429 responses to questions sent to 5,748 students. Although the overall response rate was only 7.5%, the postgraduate module responses were higher. The questions probed student perspectives on their feelings when participating in ‘tutor group’ forums. They found both negative and positive student OPEN LEARNING: THE JOURNAL OF OPEN, DISTANCE AND E-LEARNING 2022, VOL. 37, NO. 3, 215–218 https://doi.org/10.1080/02680513.2022.2081071
我们知道学习是一项复杂的业务,各种理论强调学习的不同方面(Illeris,2009),这就留下了我们如何研究学习以及用于促进学习的技术的问题(Laurillard,2002)。当教学媒介发生变化,学生们正在绘制新的水域时,学习可能会变得更加困难,就像疫情期间完全在线教学一样。《关于新冠肺炎的开放之声》特刊《开放学习》(Whitelock et al.,2021)反思了向在线学习的转变,促使教学、学习和评估发生了变化,强调了经过测试并证明有效促进学生成长和发展的方法。这个问题继续强调围绕数字学习及其如何支持学生成功的进一步讨论。当学生和教师进入紧急数字生态系统时,他们面临的一个主要问题是,学习者将如何应对才能取得成功?本版的第一篇论文由Alqurashi(2022)撰写,对这个问题进行了一些阐述。Alqurashi使用了美国全国学生参与度调查的公开数据,该调查分析了16500多名被指定为表现优秀或表现不佳的本科生的回答,他们在线学习了所有课程。这项研究的目的是调查与随后的课程成绩相比,成绩高和成绩低的学生的参与度是否存在差异。Alqurashi选择了七个专注于教学和学习实践的参与度指标:高阶学习、反思和综合学习、学习策略、定量推理、协作学习、师生互动和有效的教学实践。统计分析显示,在高阶学习、有效的学习策略、有效的教学实践以及反思性和综合性学习方面,成绩优异的学生显著高于成绩较差的学生。关于课程设计和资源配置的一个有趣发现是,在师生互动中,成绩较差的学生明显高于成绩较高的学生,这表明成绩较低的学生会向导师寻求更多帮助。这项研究只能推测这些学生向工作人员寻求的帮助类型。然而,根据Herodotou等人的报告,利用缺乏参与。(2020)可以作为辍学的预先指标,从而提醒导师提供进一步的支持。合作学习变量没有发现差异,可以假设成绩较低的学生会通过使用在线论坛寻求同龄人的更多支持。Griffin和Roy(2022)的第二篇论文采用了一系列研究来调查在线讨论论坛的功效。这项研究是对英国开放大学的学生进行的,共向5748名学生发送了429份问题回复。尽管总体应答率只有7.5%,但研究生模块的应答率更高。这些问题探讨了学生在参加“导师小组”论坛时对自己感受的看法。他们发现消极和积极的学生开放学习:《开放、距离和电子学习杂志2022》,第37卷,第3期,215–218https://doi.org/10.1080/02680513.2022.2081071