中文标题#
探索在增強型 LLM 環境中的學習緊張感：一種以學生為中心的 LLM 與搜索的定性視角
英文标题#
Exploring undercurrents of learning tensions in an LLM-enhanced landscape: A student-centered qualitative perspective on LLM vs Search
中文摘要#
大型語言模型（LLMs）正在改變學生的學習方式，通過提供易於獲取的工具，這些工具可以快速增強或完成各種學習活動，並表現出非平凡的性能。 過去引入搜索引擎和維基百科時也發生了類似的範式轉變，它們取代或補充了傳統的信息來源，如圖書館和書籍。 本研究探討了 LLMs 作為學習領域下一次轉變的潛力，重點比較了它們在信息發現和綜合方面與現有技術（如搜索引擎）的作用。 采用組內、平衡設計，參與者使用搜索引擎（Google）和大型語言模型（ChatGPT）學習新主題。 任務後的訪談探討了學生們的反思、偏好、痛點和整體看法。 我們呈現了他們的回答分析，揭示了學生在何時、為什麼以及如何更喜歡 LLMs 而非搜索引擎的細緻見解，為教育工作者、政策制定者和技術開發者在不斷變化的教育環境中提供了啟示。
英文摘要#
Large language models (LLMs) are transforming how students learn by providing readily available tools that can quickly augment or complete various learning activities with non-trivial performance. Similar paradigm shifts have occurred in the past with the introduction of search engines and Wikipedia, which replaced or supplemented traditional information sources such as libraries and books. This study investigates the potential for LLMs to represent the next shift in learning, focusing on their role in information discovery and synthesis compared to existing technologies, such as search engines. Using a within-subjects, counterbalanced design, participants learned new topics using a search engine (Google) and an LLM (ChatGPT). Post-task follow-up interviews explored students' reflections, preferences, pain points, and overall perceptions. We present analysis of their responses that show nuanced insights into when, why, and how students prefer LLMs over search engines, offering implications for educators, policymakers, and technology developers navigating the evolving educational landscape.
PDF 获取#
抖音掃碼查看更多精彩內容