تحلیل نیازهای اطلاعاتی معلمان جغرافیا در عصر هوش مصنوعی و راهکارهای علم اطلاعات برای ارتقای کیفیت تدریس مطالعه موردی: معلمان جغرافیای شهر سمنان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دکترای علم اطلاعات و دانش شناسی، کتابخانه مرکزی دانشگاه سمنان، ایران

2 گروه آموزش جغرافیا، دانشگاه فرهنگیان، تهران، ایران.

3 گروه علم اطلاعات و دانش‌شناسی، دانشکده روانشناسی و علوم تربیتی، دانشگاه سمنان، سمنان، ایران.

10.48310/rsse.2026.22640.1359

چکیده

زمینه و هدف: پژوهش حاضر با هدف تحلیل نیازهای اطلاعاتی معلمان جغرافیا در عصر هوش مصنوعی و ارائه راهکارهای علم اطلاعات برای ارتقای کیفیت تدریس انجام شد .روش :این پژوهش از نظر هدف، کاربردی و از نظر ماهیت، کیفی است که با رویکرد تحلیل مضمون انجام شد. جامعه آماری شامل معلمان جغرافیا مقطع متوسطه شهر سمنان بود که با استفاده از نمونه‌گیری هدفمند، تعداد ۴۵ نفر انتخاب شدند. داده‌ها از طریق پرسشنامه‌های نیمه‌ساختاریافته (سوالات باز) جمع‌آوری و با نرم‌افزار مکس­کیودا نسخه ۲۰۲۰ در سه مرحله کدگذاری باز، محوری و انتخابی تحلیل شدند. یافته‌ها :تحلیل داده‌ها منجر به استخراج ۴ مضمون اصلی شامل: چالش‌های بازیابی اطلاعات (۳۵٪)، راهکارهای علم اطلاعات (۳۰٪)، نیازهای اطلاعاتی نوظهور (۲۱٪) و پیامدهای آموزشی (۱۴٪) گردید. یافته‌ها نشان داد که «سرریز اطلاعاتی» و عدم انطباق سیستم‌های بازیابی با نیازهای تعلیم و آموزش، اصلی‌ترین چالش معلمان است .نتیجه‌گیری :هوش مصنوعی به تنهایی ضامن بهبود آموزش جغرافیا نیست و نیازمند مداخلات علم اطلاعات نظیر سازماندهی دانش، متا دیتای آموزشی و بازیابی معنایی است. پیشنهاد می‌شود سرفصل‌های مهارت‌های سواد اطلاعاتی در دوره‌های ضمن خدمت معلمان گنجانده شده و پورتال‌های ملی منابع آموزشی با استانداردهای علم اطلاعات نمایه‌سازی شوند

کلیدواژه‌ها

عنوان مقاله [English]

Analyzing the information needs of geography teachers in the age of artificial intelligence and information science solutions to improve teaching quality (Case study: Geography teachers in Semnan city)

نویسندگان [English]

  • Mohammad Zamani 1
  • Ebrahim Amiri 2
  • Rahman Marefat 3
1 PhD in Information Science and Knowledge Studies, Central Library of Semnan University, Iran
2 Department of Geography, Farhangian University, Tehran, Iran.
3 Department of Information Science, Faculty of Psychology and Educative Science, Semnan University, Semnan.
چکیده [English]

Bachground and Objective: This study aimed to analyze the information needs of geography teachers in the age of artificial intelligence and provide information science solutions to improve teaching quality.
Method: This research is applied in terms of purpose and qualitative in nature, conducted using a thematic analysis approach. The statistical population included geography teachers In high school in Semnan city, from whom 45 individuals were selected using purposive sampling. Data were collected through semi-structured questionnaires (open-ended questions) and analyzed using MAXQDA software version 2020 in three stages: open, axial, and selective coding. Findings: Data analysis led to the extraction of 4 main themes: information retrieval challenges (35%), information science solutions  (30%), emerging information needs (21%), and educational consequences (14%). Findings showed that "information overload" and the mismatch of retrieval systems with pedagogical needs are the main challenges for teachers. Conclusion: Artificial intelligence alone does not guarantee the improvement of geography education and requires information science interventions such as knowledge organization, educational metadata, and semantic retrieval. It is suggested that smart information literacy headings be included in teachers' in-service training courses, and national educational resource portals be indexed with information science standards.

کلیدواژه‌ها [English]

  • Information Needs
  • Geography Teachers
  • Artificial Intelligence
  • Information Science
  • Teaching Quality
  • Social Studies

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پژوهش در آموزش مطالعات اجتماعی
دوره 8، شماره 1
فروردین 1405
صفحه 144-170

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