The Challenges of Using Large Language Models: Balancing Traditional Learning Methods with New Technologies in the Pedagogy of Sociology DOI Creative Commons
Živa Kos, Jasna Mažgon

Education Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 191 - 191

Published: Feb. 6, 2025

The increasing use of artificial intelligence (hereafter AI) in education, particularly through large-scale language models such as ChatGPT and Bing, offers both challenges opportunities. These facilitate interaction conversations can perform tasks that require natural processing, from answering questions to solving problems. However, their integration into education raises concerns about the credibility reliability information they provide role teacher, emphasizing need for guided educational environments. This article contributes discourse perspective pedagogy sociology, focusing on chatbots analyzing texts within social sciences humanities fields. Our pilot study, conducted with 17 first-year master’s students studying reveals while optimize creation summaries provision basic information, reliance sources Wikipedia calls question depth impartiality content. In addition, have criticized providing biased or inaccurate outputs. A significant part our research has compared epistemological methodological approaches a traditional, independent literature analysis (deep reading), we found notable differences learning outcomes. hybrid approach combines AI tools conventional methods promising way improve teaching strategies enhance critical analytical skills are crucial future pedagogies.

Language: Английский

Interactive Multimedia Environment Intervention with Learning Anxiety and Metacognition as Achievement Predictors DOI Creative Commons
Αριστέα Μαυρογιάννη, Eleni Vasilaki, Michalis Linardakis

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(1), P. 2 - 2

Published: Jan. 13, 2025

Background: Interactive learning environments have emerged as transformative tools in education, enhancing engagement, academic performance, and addressing challenges like anxiety. This study examines the influence of multiple variables, including anxiety, internet usage for problem-solving, attitude towards a history course, metacognitive awareness, interactive environments, on seventh-grade students’ performance. Methods: Using Exploration Attitudes Towards History Scale (EDIS) scale to measure attitudes Metacognitive Awareness Reading Strategies Inventory-Revised Two-Factor Version (MARSI-2fR) assess evaluated historical knowledge across three stages, namely pre-intervention, post-intervention, one-month-later retest. A comparative analysis was conducted between control group intervention group. The statistical analyses involved calculation correlation coefficients, implementation general linear models, performance Wilcoxon signed-rank tests. Results: findings indicated that prior intervention, factors such anxiety extratextual component metacognition were statistically significant predictors achievement. However, aforementioned ceased be when parameter strategies incorporated into model. impact environment achievement is highly terms post-test scores, while all other becomes insignificant. retest confirmed continued maintenance achieved results following intervention. Conclusions: confirms previous research demonstrating are an effective method reducing negative

Language: Английский

Citations

0
The Challenges of Using Large Language Models: Balancing Traditional Learning Methods with New Technologies in the Pedagogy of Sociology DOI Creative Commons
Živa Kos, Jasna Mažgon

Education Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 191 - 191

Published: Feb. 6, 2025

The increasing use of artificial intelligence (hereafter AI) in education, particularly through large-scale language models such as ChatGPT and Bing, offers both challenges opportunities. These facilitate interaction conversations can perform tasks that require natural processing, from answering questions to solving problems. However, their integration into education raises concerns about the credibility reliability information they provide role teacher, emphasizing need for guided educational environments. This article contributes discourse perspective pedagogy sociology, focusing on chatbots analyzing texts within social sciences humanities fields. Our pilot study, conducted with 17 first-year master’s students studying reveals while optimize creation summaries provision basic information, reliance sources Wikipedia calls question depth impartiality content. In addition, have criticized providing biased or inaccurate outputs. A significant part our research has compared epistemological methodological approaches a traditional, independent literature analysis (deep reading), we found notable differences learning outcomes. hybrid approach combines AI tools conventional methods promising way improve teaching strategies enhance critical analytical skills are crucial future pedagogies.

Language: Английский

Citations

0