Editorial Overview

Lori L. Scarlatos
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Abstract

The burgeoning growth of educational technologies available to educators seems to suggest that any new technologies will simply make education better. Yet immediate adoption of emerging technologies is not always successful, and might even be detrimental if the adoption is not purposeful and informed. The sudden availability of artificial intelligence reminds us that these potential tools for learning and creativity—like the internet and social media before it—can also be a source for plagiarism and misinformation if not utilized correctly. This issue of JETS focuses on articles that look critically at a variety of technologies. Sometimes the technologies enhance learning, and sometimes they don’t. Yet all of the articles provide important insights that can be used to guide educators’ selection and purposeful implementation of the technologies. Our first paper presents a framework for selecting educational technologies that support students’ development of critical thinking skills. Extending the Technological, Pedagogical and Content Knowledge (TPACK) model, this framework focuses on six critical thinking skills: Interpretation, analysis, evaluation, inference, explanation, and self-regulation. The framework is further explained with an example of how it can be applied to an actual classroom situation, using tools ranging from interactive whiteboards to ChatGPT. The next two papers look at the use of specific technologies and contexts. The first of these provides guidelines for using Twitter in a marine biology course. The next paper describes a game called FLIGBY, developed for an entrepreneurship course with a focus on innovation and creativity. Although the authors did not find a correlation between the score in the game and student performance on tests and projects, interviews with students revealed that the game got them to think more about their human interactions. The following two papers look at different pedagogical approaches. The first of these compares two approaches to teaching systematic instruction methods to preservice teachers. Although the researchers found no significant difference, both approaches appear to work. This paper is potentially useful to anyone who is training preservice teachers because of the detailed description of how this was implemented and the section on implications for practice. In the next paper, a large statistics course was offered in-person (with students in a large lecture hall) and online. No appreciable difference was found. The next paper provides an overview of Editorial
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教育工作者可以使用的教育技术的迅速发展似乎表明,任何新技术都只会使教育变得更好。然而,立即采用新兴技术并不总是成功的,如果采用没有目的和知情,甚至可能是有害的。人工智能的突然出现提醒我们,这些潜在的学习和创造工具——就像之前的互联网和社交媒体一样——如果使用不当,也可能成为抄袭和错误信息的来源。本期《JETS》关注的是对各种技术进行批判性分析的文章。这些技术有时能促进学习,有时则不然。然而,所有的文章都提供了重要的见解,可以用来指导教育工作者选择和有目的地实施这些技术。我们的第一篇论文提出了一个框架,用于选择支持学生批判性思维技能发展的教育技术。该框架扩展了技术、教学和内容知识(TPACK)模型,重点关注六种批判性思维技能:解释、分析、评估、推理、解释和自我调节。该框架通过一个例子进一步解释了如何将其应用于实际的课堂环境,使用从交互式白板到ChatGPT的各种工具。接下来的两篇文章将讨论具体技术和上下文的使用。其中第一个提供了在海洋生物学课程中使用Twitter的指导方针。下一篇论文描述了一款名为《FLIGBY》的游戏,它是为一门专注于创新和创造力的创业课程而开发的。虽然作者没有发现游戏得分与学生在考试和项目中的表现之间的相关性,但对学生的采访显示,游戏让他们更多地思考人际交往。以下两篇论文着眼于不同的教学方法。第一篇比较了两种对职前教师进行系统教学的方法。虽然研究人员没有发现明显的差异,但两种方法似乎都有效。这篇论文对任何正在培训职前教师的人都有潜在的帮助,因为它详细描述了这是如何实现的,以及对实践的影响。在下一篇论文中,我们开设了一门大型的统计学课程(学生们在一个大的讲堂里)和在线课程。没有发现明显的差异。下一篇论文提供了社论的概述
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